what is "RSI Divergence Strategy"? 
it is a RSI strategy based this indicator: 
	
		
	
 
what it does? 
it gives buy or sell signals according to RSI Divergences. it also has different variables such as "take profit", "stop loss" and trailing stop loss. 
 
how it does it?  
it uses the "RSI Divergence" indicator to give signal. For detailed information on how it works, you can visit the link above. The quantity of the inputs is proportional to the rsi values. Long trades are directly traded with "RSI" value, while short poses are traded with "100-RSI" value. 
 
How to use it? 
The default settings are for scalp strategy but can be used for any type of trading strategy. you can develop different strategies by changing the sections. It is quite simple to use. 
RSI length is length of RSİ 
source is source of RSİ 
RSİ Divergence lenght is length of line on the RSI 
The "take profit", "stop" and "trailing stop" parts used in the "buy" group only affect buys. The "sell" group is similarly independent of the variables in the "buy" group. 
The "zoom" section is used to enlarge or reduce the indicator. it only changes the appearance, it does not affect the results of the strategy. 
 
 
 


RSI Divergence

RSI Divergence Strategy

Tomukas Elite SMC is a premium Smart Money Concepts strategy designed to focus on high-probability institutional setups instead of frequent signals.

The strategy combines three core concepts into a single trading framework:

Liquidity Sweeps
Market Structure Shift (MSS/BOS)
Fair Value Gap (FVG) Retracement

Rather than chasing price, the strategy waits for liquidity to be taken, confirms a genuine shift in market structure, and enters only after price retraces into an imbalance. This approach aims to filter out low-quality trades and improve overall consistency.

Key Features
Non-repainting signals
Higher-timeframe trend confirmation
Liquidity sweep detection
MSS/BOS confirmation using candle closes
Automatic Fair Value Gap detection
Session filter (London & New York)
ATR volatility filter
Built-in risk management
Break-even automation after TP1
Runner management for extended trends
Strategy Tester compatible

The strategy is designed for traders who value patience and precision over constant market participation. By waiting for multiple confirmations to align, it seeks to reduce false entries while maintaining favorable risk-to-reward opportunities.

Best suited for: Gold (XAUUSD), major Forex pairs, and indices on lower timeframes such as 1M, 3M, and 5M.

As with any trading strategy, no setup guarantees profits. Proper risk management, disciplined execution, and thorough testing are essential before using it with live capital.

Tomukas Elite SMC

Hi everybody, 
 
This strategy is a RSI, Price Averaging, Pyramiding Strategy based on the earlier RSI+PA+DCA strategy. See below. 

	
		
	
 
For this slightly different strategy I left the DCA option out and instead focused on the Take Profit calculation. In the previous strategy the Take Profit was directly connected to the Average Price level with a specified take profit %. When the price reached the Take Profit all positions where exited. The strategy opened multiple position based on the PA price levels. The separate positions can close when they reach separately specified Take Profit Limit. Each time the prices crosses the PA layer again the position can be re-opened. This causes the average price to drop each time a separate position is opened and closed.  
I thought it was an interesting way to minimize losses and in general it works fine. Only when the market goes bearish it can cause significant losses 
For the lack of a better word, I dubbed it Progressive Take Profit. The PrTP works different and is less risky. It doesn't directly follow the average price development and is calculated for a part based on the estimated profits of the separate closed positions. Every time a separate position is closed, the profit of that position is deducted of the Take Profit Limit. This causes the Take Profit Limit to drop les drastically then the average price and the whole position will only be closed when the separately opened and closed positions made up for the biggest losses. 
 
There are still some aspects in the puzzle that are not fully worked out yet and I am still working on it, but I wanted to share this idea already and maybe you have some thoughts about it.  
The next step is to re-implement a better worked out DCA function.   
To be continued.

RSI+PA+PrTP


                    
                        🚀 Presenting the Enhanced Ehlers Combo Strategy 🚀  
Hello Traders! 👋 I'm thrilled to share the latest version of the Ehlers Combo Strategy v2.0. This powerful algorithm combines Ehlers Elegant Oscillator, Decycler, Instantaneous Trendline, Spearman Rank, and introduces the Signal to Noise Ratio for even more precise trading signals. 
 
📊 Strategy Highlights: 
Ehlers Elegant Oscillator: Captures market momentum and turning points. 
Ehlers Decycler: Filters out market noise for clearer trend signals. 
Instantaneous Trendline: Offers a dynamic view of the market trend. 
Spearman Rank: Analyzes market rank correlations for enhanced insights. 
Signal to Noise Ratio (SNR): Filters out noise for more accurate signals. 
 
💡 Key Features & Customizations: 
Adaptive Length: Enable adaptive length based on the market's current conditions. 
SNR Threshold: Set your desired SNR threshold for filtering signals. 
Exit Length: Define the length for exit signals. 
 
📈 Trading Signals: 
Long Entry: Elegant Oscillator and Decycler cross above 0, source crosses above Decycler, source is greater than an increasing Instantaneous Trendline, Spearman Rank is positive, and SNR exceeds the threshold. 
Long Exit: Source crosses below the Instantaneous Trendline after entering a long position. 
Short Entry: Elegant Oscillator and Decycler cross below 0, source crosses below Decycler, source is less than a decreasing Instantaneous Trendline, Spearman Rank is negative, and SNR exceeds the threshold. 
Short Exit: Source crosses above the Instantaneous Trendline after entering a short position.  
    
📊 Insights & Enhancements: 
Dynamic Length: The strategy adapts its length dynamically based on market conditions. 
Improved SNR: Signal to Noise Ratio ensures better filtering of signals. 
Enhanced Visualization: The Elegant Oscillator now features improved color coding for a clearer interpretation. 
 
🚨 Disclaimer: 
Trading involves risk, and this script should be used judiciously. It's not a guaranteed profit machine, but with careful use, it can be a valuable addition to your toolkit. 
 
Feel free to backtest, tweak, and make it your own! Let's conquer the markets together! 💪📈 
 
🚀✨ Happy Trading! ✨🚀 
 
--- 
 
🙌 Credits: 
A big shoutout to the original contributors: 
@blackcat1402 
@cheatcountry 
@DasanC 
 

                    
                
					
                        
                            Release Notes:                        
                        
                            Improved plot structure 
Fixed wrong comment 
Removed superfluous strategy.order lines

                        
                    
				

Ehlers Elegant Oscillator

Ehlers Decycler

Instantaneous Trendline

Spearman Rank

Signal to Noise Ratio

Ehlers Combo Strategy


                    
                        Based on the work TJS / Trading Zoom / Svoboda 
 
Strategy based on Hurst channel with loss averaging when an open position is below 0.5 channel range. 
 
How it works: 
1. opens the long position when the close price crosses over the lower band (from bottom to top)  
2. opens additional position (double in size) when average position price is lower than average channel value (0.5) 
3. closes the position when the close price crosses over the higher band (from top to bottom)  
 
 
Works the best on : 
- volatile and continuous instruments (futures)  
- on timeframes above 15 minutes 
- uptrends or consolidations 
- downtrends require more capital to open double positions
                    
                
					
                        
                            Release Notes:                        
                        
                            add short strategy

                        
                    
				

HURST Channel Strategy

Gaussian Filter MACD Strategy (Zero Cross + RSI Gate)

What it does
This strategy evaluates momentum using a Gaussian-smoothed MACD and requires a MACD zero-line cross to confirm trend initiation. A configurable RSI threshold filters weak signals, aiming to reduce whipsaws around the zero line. Entries occur only when momentum and baseline strength agree; exits are triggered by MACD crossing below its signal to capture the meat of the move while avoiding discretionary overrides.

How it works (concepts, not code)

Gaussian MACD: The fast/slow components are smoothed with a Gaussian-style filter to reduce noise relative to standard EMA MACD.

Zero-line confirmation: Longs require MACD to cross above zero, aligning entries with positive momentum regimes.

RSI gate: A threshold (default 50) further filters entries so that only setups with baseline strength qualify.

Exit logic: Positions close when MACD crosses below its signal line, providing an objective exit without trailing logic.

Sources: The script supports standard and Heikin-Ashi-derived sources for traders who prefer alternate preprocessing.

How to use it

Add the strategy to a clean chart.

Keep default settings for initial testing; then adjust the RSI threshold and symbol/timeframe for your market.

Favor liquid instruments where slippage and fills are reliable.

Forward-test and walk-forward before any live use.

Default Properties (used for this publication)

Initial Capital: $25,000

Order Size: 100% of equity per trade (no leverage).

Commission: 0.02% per side.

Slippage: 2 ticks (or 0.02% on percent-based markets).

Timeframe used for the published chart: 15-minute (example)

Dataset: SPY/QQQ/large-cap equities (2+ years) producing 100+ trades in sample.

Note: This strategy does not use hard stops by default. If you prefer risk caps ≤ 5–10% per trade, add a stop in the Inputs and re-publish; otherwise, this description explains the deviation per House Rules.

Disclosures
Backtest results are estimates; real-world fills, slippage, and availability may differ. No guarantee of performance. Use prudent position sizing and independent verification.

Gaussian MACD RSI v2

# Auto Fib + EMA200 MTF [SamoAlgo]

**A multi-timeframe trend-confirmation strategy combining automatic Fibonacci retracement detection with EMA200 alignment across four timeframes.**

## Overview

This strategy automatically detects swing structures (pivot highs/lows) and looks for high-probability retracement entries at a configurable Fibonacci level (default 61.8%), but only when the broader trend is confirmed across multiple timeframes simultaneously.

Unlike simple Fib tools that fire on every retracement, this script requires trend agreement across 1m, 5m, 15m, and 60m EMA200 readings before considering an entry valid — reducing false signals during choppy, directionless conditions.

## How it works

**1. Swing & Fibonacci detection**
The script identifies confirmed pivot highs and lows (adjustable strength), measures the swing size against current ATR to filter out insignificant moves, and calculates an entry zone at your chosen Fibonacci retracement level. Setups expire automatically after a configurable number of bars if price never reaches the entry zone.

**2. Multi-timeframe trend filter**
Before any entry, the script checks EMA200 position across four timeframes (1m/5m/15m/60m). You control how many of the four must agree (1–4) — requiring all four is strictest; lowering the threshold allows more signals during transitional market conditions.

**3. Risk management**
- Position sizing is equity-based (% risk per trade)
- Stop and target can be ATR-based or Fibonacci-extension based (your choice)
- Optional minimum Risk:Reward filter — trades below your threshold are skipped
- Optional ADX-based trend-strength filter to avoid ranging markets
- Optional max-trades-per-day cap
- Optional cooldown period between trades to avoid clustering on the same swing

**4. Visual feedback**
Confirmed trades (not just signals — actual filled positions) draw persistent entry/stop/target lines and a labeled marker directly on the chart, so every alert you receive corresponds to a real, verified trade in the strategy's backtest.

## Inputs (fully customizable)
- Pivot strength, Fib entry level, Fib target extension, minimum swing size
- ATR-based or Fib-based stop/target
- Risk % per trade
- EMA200 length and timeframe-agreement threshold
- Volatility filter, session filter, ADX filter, R:R filter, daily trade cap, cooldown
- Independent long/short enable toggles

## Important notes

- This is a **strategy** script (uses `strategy()`), meaning results shown are backtested performance, not a guarantee of future results. Always forward-test on a demo account before risking real capital.
- The multi-timeframe EMA filter is inherently asymmetric to current market regime: in a sustained downtrend it will naturally favor short setups (and vice versa in an uptrend). This is expected behavior of trend-following logic, not a bug — adjust the timeframe-agreement threshold if you want more balanced signal frequency across both directions.
- `request.security()` calls use `barmerge.lookahead_off` — no repainting from future data.
- Past performance, including any results shown on the published chart, does not guarantee future performance. Trade at your own risk and use proper position sizing.

— SamoAlgo

Auto Fib + EMA200 MTF [SamoAlgo] - FIXED


                    
                        Script using MA Trendline, RSI and strong buy signal 
 
Script still in development
                    
                
					
                        
                            Release Notes:                        
                        
                            sl moved to BBMC

                        
                    
				

RIPO BOT

heyyyyyyy this us tgev profiutsble stratrgy wer are here to show how 8 am strategy will trade effectively and

BTC 8AM Pattern Breakout Instant Entry

A powerful mean reversion strategy. 
 
This srategy aims to find bullish and bearing candle pattern which ends with a strong move.

The strategy detect three bullish or bearish candle pattern. Position will be open until we get close above previous highs. 
 
Strategy uses also simple moving average to filter short positions. 
 
This strategy works well with QQQ and daily time frame but it seems to do fairly well intraday also. 
 
User can modify moving average length and how strong is the move of the last candle. 
 
This strategy is inspired a strategy by hackertrader. The original idea by QuantpT.

Mean reversion

Indicators
EMA4
EMA9
EMA20
EMA50
RSI
STOCHASTIC
ATR
With buy/sell indicators directly on main chart
It worked for me when waited for retracement on EMA50
Didn't work when on accumulation.

(5m) EMA Cross + RSI + Stoch + ATR Strategy Psammodromus1979

Gaussian Filter MACD — Strategy (with RSI Gate)

A momentum-first, chop-aware strategy built on a Gaussian-smoothed MACD with an optional RSI threshold filter. It looks for clean transitions in trend and ignores half-hearted wiggles around the zero line. You choose how signals are confirmed and whether shorts are allowed—no clutter, just deliberate entries and exits.

What it does (at a glance)

Confirms momentum using a smoothed MACD and a selectable signal mode.

Optional RSI gate to avoid low-quality breakouts.

Flexible source options (incl. Heikin-Ashi families) to match your charting style.

Long-only by default; shorts are an option.

Built-in alerts for entries/exits.

How to use

Add to chart and select your preferred signal mode.

Toggle the RSI gate and set your threshold to filter weak setups.

Forward-test across symbols/timeframes; then walk it into live with conservative sizing.

Notes

The parameters and internals are intentionally locked to protect IP and avoid over-fitting by casual copycats.

Works best on liquid symbols with consistent session structure.

Risk
Backtests are not a promise. Markets are noisy, slippage is real, and capital at risk should be sized accordingly. Use with sound risk management and a clear exit plan.

MAUL RSI Gaussian Filter MACD


                    
                        The strategy is based on the intersection of two moving averages, which requires adjusting the parameters (ratio and multiplier) for the moving average. 
Basis MA length: multiplier * ratio 
Signal MA length: multiplier 
 
The SuperTrend indicator is used for additional confirmation of entry into a position. 
Bollinger Bands and position reversal are used for take-profit. 
About stop loss: 
If activated, the stop loss price will be updated on every entry. 
 
Basic setup: 

			
				
					
				
			
		 
Additional: 

			
				
					
				
			
		 
Alerts for OKX: 

			
				
					
				
			
		
                    
                
					
                        
                            Release Notes:                        
                        
                            fixed stop loss messages and logic.

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            fixed: problem with the timestamp, due to which signals did not arrive to the OKX exchange

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            Fixed: 
OKX alerts - priceOffset (Negative numbers cannot be used.) 
Added: 
Possibility to turn off - Cross MA strategy 
Checking for trend for stop loss 


                        
                    
				
					
                        
                            Release Notes:                        
                        
                            update: stop-loss logic

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            Fixed: 
When an stoploss and takeprofit was triggered, double notification was sent to a "tradingview". With alerts to "OKX"  had all well. 
 
Update: 
Strategy name 
Change a default strategy style 
Appearance of a the settings window 
 
Added: 
Options for a customiser ma, bb 
 
When using the strategy only for alerts to the exchange OKX, you can use this: alert() function calls only. And the required webhook URL. 

			
				
					
				
			
		

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            fixed a conditions

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            Fixed: 
minor errors 
 
Added: 
SuperTrend + ATR option as stop-loss price 
For ATR stop-loss: when "Use TP orders 3" on and price cross bb lower or upper line #3, updates a stop-loss price. 


                        
                    
				
					
                        
                            Release Notes:                        
                        
                            Added: 
Flex stop loss for ATR 
Additional order entries 
Stop loss price is now displayed 

			
				
					
				
			
		

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            Fixed: 
Flex stop loss no longer affects SuperTrend + ATR 
OKX: The price for a limit order is now sent more accurately 


                        
                    
				
					
                        
                            Release Notes:                        
                        
                            fixed limit order alert

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            Added: 
Stop loss by StdDev 
Changed: 
Logic for additional shorts. 
Logic updating stop loss price. 
Before opening a position or when a stop loss (SuperTrend) is triggered, open orders in the opposite direction are now closed. 
 
Attention! 
If used additional short orders, stop loss or limit orders then need check profit after update.

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            Fixed minor errors 
Stop loss price display

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            Strategy only for OKX exchange 
For alerts, specify the message {{strategy.order.alert_message}}

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            
			
				
					
				
			
		Added: 
for take profit, comparison of the current price with the average entry price 
display of the last limit order 
entry points 


                        
                    
				
					
                        
                            Release Notes:                        
                        
                            Added: 
Choice fixed number of contracts for OKX alerts 
Entry trigger 
Stop-loss trigger 
SuperTrend as entry signal 


                        
                    
				
					
                        
                            Release Notes:                        
                        
                            Fixed limit orders alert

                        
                    
				

Moving Average

SuperTrend

Bollinger Bands

2Mars strategy [OKX]

Simple way how to use Linear Regression for trading. 
 
What we use: 
• Linear Regression 
• EMA 200 as a trend filter 
 
Logic: 
Firstly we make two different linear regression movings as oscillator. For this we need to subtract slow moving from fast moving, so we get the single moving around zero. This is the green/red line which appears on the chart. 
The trade open when LR cross over the threshold. The trade close when LR cross under the threshold below. Crossing over the threshold is the same as faster moving cross over slower moving.  
Also we use EMA as a filter. The trades would be only when the price is over than EMA 200. 


Linear trend

Turtle Trader Strategy :  
 
 
Introduction :  
 
This strategy is based on the well known « Turtle Trader Strategy », that has proven itself over the years. It sends long and short signals with pyramid orders of up to 5, meaning that the strategy can trigger up to 5 orders in the same direction. Good risk and money management. 
It's important to note that the strategy combines 2 systems working together (S1 and S2). Let’s describe the specific features of this strategy. 
 
 
1/ Position size :  
 
Position size is very important for turtle traders to manage risk properly. This position sizing strategy adapts to market volatility and to account (gains and losses). It’s based on ATR (Average True Range) which can also be called « N ». Its length is per default 20. 
 
ATR(20) = (previous_atr(20)*19 + actual_true_range)/20 
 
The number of units to buy is : 
 
Unit = 1% * account/(ATR(20)*dollar_per_point) 
 
where account is the actual account value and dollar_per_point is the variation in dollar of the asset with a 1 point move. 
Depending on your risk aversion, you can increase the percentage of your account, but turtle traders default to 1%. If you trade contracts, units must be rounded down by default. 
 
There is also an additional rule to reduce the risk if the value of the account falls below the initial capital : in this case and only in this case, account in the unit formula must be replace by : 
 
account = actual_account*actual_account/initial capital 
 
 
2/ Open a position : 
 
2 systems are working together :  
System 1 : Entering a new 20 day breakout 
System 2 : Entering a new 55 day breakout 
A breakout is a new high or new low. If it’s a new high, we open long position and vice versa if it’s a new low we enter in short position. 
 
We add an additional rule : 
System 1 : Breakout is ignored if last long/short position was a winner 
System 2 : All signals are taken 
This additional rule allows the trader to be in the major trends if the system 1 signal has been skipped. If a signal for system 1 has been skipped, and next candle is also a new 20 day breakout, S1 doesn’t give a signal. We have to wait S2 signal or wait for a candle that doesn’t make a new breakout to reactivate S1. 
 
 
3/ Pyramid orders :  
 
Turtle Strategy allows us to add extra units to the position if the price moves in our favor. I've configured the strategy to allow up to 5 orders to be added in the same direction. So if the price varies from 0.5*ATR(20), we add units with the position size formula. Note that the value of account will be replaced by "remaining_account", i.e. the cash remaining in our account after subtracting the value of open positions. 
 
 
4/ Stop Loss :  
 
We set a stop loss at 1.5*ATR(20) below the entry price for longs and above the entry price for shorts. If pyramid units are added, the stop is increased/decreased by 0.5*ATR(20). Note that if SL is configured for a loss of more than 10%, we set the SL to 10% for the first entry order to avoid big losses. This configuration does not work for pyramid orders as SL moves by 0.5*ATR(20). 
 
 
5/ Exit signals :  
 
System 1 :  
Exit long on a 10 day low 
Exit short on a 10 day high 
System 2 :  
Exit long on a 20 day low 
Exit short on a 20 day high 
 
 
6/ What types of orders are placed ? 
 
To enter in a position, stop orders are placed meaning that we place orders that will be automatically triggered by the signal at the exact breakout price. Stop loss and exit signals are also stop orders. Pyramid orders are market orders which will be triggered at the opening of the next candle to avoid repainting. 
 
 
PARAMETERS :  
 
Risk % of capital : Percentage used in the position size formula. Default is 1% 
ATR period : ATR length used to calculate ATR. Default is 20 
Stop ATR : Parameters used to fix stop loss. Default is 1.5 meaning that stop loss will be set at : buy_price - 1.5*ATR(20) for long and buy_price + 1.5*ATR(20) for short. Turtle traders default is 2 but 1.5 is better for cryptocurrency as there is a huge volatility. 
S1 Long : System 1 breakout length for long. Default is 20 
S2 Long : System 2 breakout length for long. Default is 55 
S1 Long Exit : System 1 breakout length to exit long. Default is 10 
S2 Long Exit : System 2 breakout length to exit long. Default is 20 
S1 Short : System 1 breakout length for short. Default is 15 
S2 Short : System 2 breakout length for short. Default is 55 
S1 Short  Exit : System 1 breakout length to exit short. Default is 7 
S2 Short  Exit : System 2 breakout length to exit short. Default is 20 
Initial capital : $1000 
Fees : Interactive Broker fees apply to this strategy. They are set at 0.18% of the trade value. 
Slippage : 3 ticks or $0.03 per trade. Corresponds to the latency time between the moment the signal is received and the moment the order is executed by the broker. 
Pyramiding : Number of orders that can be passed in the same direction. Default is 5. 
Important : Turtle traders don't trade crypto. For this specific asset type, I modify some parameters such as SL and Short S1 in order to maximize return while limiting drawdown. This strategy is the most optimal on 
			
				
				
			
				BTCUSD
			
		 in 1D timeframe with the parameters set per default. If you want to use this strategy for a different crypto please adapt parameters.  
 
 
NOTE :  
 
It's important to note that the first entry order (long or short) will be the largest. Subsequent pyramid orders will have fewer units than the first order. We've set a maximum SL for the first order of 10%, meaning that you won't lose more than 10% of the value of your first order. However, it is possible to lose more on your pyramid orders, as the SL is increased/decreased by 0.5*ATR(20), which does not secure a loss of more than 10% on your pyramid orders. The risk remains well managed because the value of these orders is less than the value of the first order. Remain vigilant to this small detail and adjust your risk according to your risk aversion.  
 
 
Enjoy the strategy and don’t forget to take the trade :) 


Turtle Trader Strategy


                    
                        ACTION ZONE-ATR MOD v0.1 DOCUMENTATION 
 
 
Overview 
This tradingview pine script strategy is mainly created to enrich my coding skill. It is a combination of “CDC-ACTIONZONE” and my personal studies of trading techniques in various sources e.g.book, course or blog. This strategy purposefully built to connect with my automatic trading bot. However, It will be very useful to aid your trading routine by diminishing mental distraction which possibly leads to bad trades. 
 
How does it work? 
This strategy will do a basic simple thing that most traders do by creating entry signals on both sides long/short and also set the stop loss. Furthermore, It will also reverse the order (from long to short and vice versa (if long/short conditions are met). Finally, it will recalculate the stop loss/take profit price in every complete bar to increase the chance of winning and limit our loss. 
 
Entry rules(Long/Short) 
If you have no open order, an order will be created when a fast EMA crosses(up(long)/down(short) the slow EMA(It’s as simple as that). 
If you have an open order, the current order will be (sold if long, covered if short) and the opposite side order will be created. 
 
Exit and Reverse rules(Long/Short)  
If fast EMA cross (DOWN(long), UP(short)), the current order will be closed, THE OPPOSITE SIDE ORDER WILL ALSO BE CREATED. 
 
Risk management 
FLEX STOP PRICE : initial value will be set at the bar which order created. It is a fast ema (+/-) MIDDLE ATR value.  
If MIDDLE ATR value rises, it will be our new stop price. 
If MIDDLE ATR value falls, stop price unchanged 
If Price OVERBOUGHT(long)/SOLD(short), LOW of that bar will be a new stop price.  
 
Minimum position hold period 
In order to eliminate risk of repeatedly open, close orders in sideway trends. Minimum hold period must be passed to start exit our position. However, It always respects stop loss prices. The value refers to the number of bars. 
 
MUST READ!!! 
This strategy uses only MARKET ORDER. If you trade with a bot, make sure you choose only enormous market cap tokens. 
This strategy is bi-direction strategy. It will work best in the DERIVATIVE market. 
It was initially designed to compete in the cryptocurrency market which has very high volume and volatility. 
I only use this strategy in 1HR (acceptable change rate, optimum trade frequency) 
 
How (should) we use it? 
Choose crypto future pairs (recommend only top 10-15 market volume pairs in Binance, let’s say 1000M+ trade value) 
Choose your time frame (1H is strongly recommended) 
Setup your portfolio profile (Setting->Properties) such as Initial cap, order size, commission. DO NOT USE CAL ON EVERY TICK IT WILL CAUSE REPAINTING AND YOUR CAPITAL IS BLEEDING !!! 
BACKTEST FIRST!! Back test is a combination of art, math and statis(and a bit of luck). You can apply to train and test methods or whatever you are familiar with. In my opinion, your test period should include UPTREND, SIDEWAY, DOWNTREND. Fine tune fast, slow ema first(my best ema length of 1H timeframe around 7-10, 17-22). Try to eliminate fault breakout trade and use other options only necessary. Hopefully we can use automatic optimization on Pine Script soon. 
Don’t forget to turn off using a specific backtest date option to start your strategy.A 
 
THIS IS NOT A PERFECT (OR EVEN PROFITABLE) STRATEGY. USE AT YOUR OWN RISK AND TRADE RESPONSIBLY. DYOR DUDE. 
 
 

                    
                
					
                        
                            Release Notes:                        
                        
                            Fix input description, Stop price line color

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            Fix mis-calculated ATR-multiplier

                        
                    
				

action zone - ATR stop reverse order strategy v0.1 by 9nck


                    
                        █  OVERVIEW 
 
 
Double Tap is a pattern recognition script aimed at detecting Double Tops and Double Bottoms. Double Tap can be applied to the broker emulator to observe historical results, run as a trading bot for live trade alerts in real time with entry signals, take profit, and stop orders, or to simply detect patterns.  
 
 
 
█  CONCEPTS 
 
 
How Is A Pattern Defined? 
Doubles are technical formations that are both reversal patterns and breakout patterns. These formations typically have a distinctive “M” or a “W” shape with price action breaking beyond the neckline formed by the center of the pattern. They can be recognized when a ​pivot fails to break when tested for a second time and the retracement that follows breaks beyond the key level opposite. This can trap entrants that were playing in the direction of the prior trend. Entries are made on the breakout with a target projected beyond the neckline equal to the height of the pattern.  
 
Pattern Recognition 
Patterns are recognized through the use of ​zig-zag; a method of filtering price action by connecting swing highs and lows in an alternating fashion to establish trend, ​support and resistance, or derive shapes from price action. The script looks for the highest or lowest point in a given number of bars and updates a list with the values as they form. If the levels are exceeded, the values are updated. If the direction changes and a new significant point is made, a new point is added to the list and the process starts again. Meanwhile, we scan the list of values looking for the distinctive shape to form as previously described.  
 
 
 
█  STRATEGY RESULTS 
 
 
Back Testing 
Historical back testing is the most common method to test a strategy due in part to the general ease of gathering quick results. The underlying theory is that any strategy that worked well in the past is likely to work well in the future, and conversely, any strategy that performed poorly in the past is likely to perform poorly in the future. It is easy to poke holes in this theory, however, as for one to accept it as gospel, one would have to assume that future results will match what has come to pass. The randomness of markets may see to it otherwise, so it is important to scrutinize results. Some commonly used methods are to compare to other markets or benchmarks, perform statistical analysis on the results over many iterations and on differing datasets, walk-forward testing, out-of-sample analysis, or a variety of other techniques. There are many ways to interpret the results, so it is important to do research and gain knowledge in the field prior to taking meaningful conclusions from them.  
 
👉  In short, it would be naive to place trust in one good backtest and expect positive results to continue. For this reason, results have been omitted from this publication.  
 
Repainting 
Repainting is simply the difference in behaviour of a strategy in real time vs the results calculated on the historical dataset. The strategy, by default, will wait for confirmed signals and is thus designed to not repaint. Waiting for bar close for entires aligns results in the real time data feed to those calculated on historical bars, which contain far less data. By doing this we align the behaviour of the strategy on the 2 data types, which brings significance to the calculated results. To override this behaviour and introduce repainting one can select "Recalculate on every tick" from the properties tab. It is important to note that by doing this alerts may not align with results seen in the strategy tester when the chart is reloaded, and thus to do so is to forgo backtesting and restricts a strategy to forward testing only.  
 
👉  It is possible to use this script as an indicator as opposed to a full strategy by disabling "Use Strategy" in the "Inputs" tab. Basic alerts for detection will be sent when patterns are detected as opposed to complex order syntax. For alerts mid-bar enable "Recalculate on every tick", and for confirmed signals ensure it is disabled.  
   
 
 
█  EXIT ORDERS 
 
 
Limit and Stop Orders 
By default, the strategy will place a stop loss at the invalidation point of the pattern. This point is beyond the pattern high in the case of Double Tops, or beneath the pattern low in the case of Double Bottoms. The target or take profit point is an equal-legs measurement, or 100% of the pattern height in the direction of the pattern bias. Both the stop and the limit level can be adjusted from the user menu as a percentage of the pattern height.  
 
Trailing Stops 
Optional from the menu is the implementation of an ATR based trailing stop. The trailing stop is designed to begin when the target projection is reached. From there, the script looks back a user-defined number of bars for the highest or lowest point +/- the ATR value. For tighter stops the user can look back a lesser number of bars, or decrease the ATR multiple. When using either Alertatron or Trading Connector, each change in the trail value will trigger an alert to update the stop order on the exchange to reflect the new trail price. This reduces latency and slippage that can occur when relying on alerts only as real exchange orders fill faster and remain in place in the event of a disruption in communication between your strategy and the exchange, which ensures a higher level of safety.  
 
👉  It is important to note that in the case the trailing stop is enabled, limit orders are excluded from the exit criteria. Rather, the point in time that the limit value is exceeded is the point that the trail begins. As such, this method will exit by stop loss only.  
 
 
 
█  ALERTS 
 
 
Five Built-in 3rd Party Destinations 
The following are five options for delivering alerts from Double Tap to live trade execution via third party ​API solutions or chat bots to share your trades on social media. These destinations can be selected from the input menu and alert syntax will automatically configure in alerts appropriately to manage trades.  
 
Custom JSON 
JSON, or JavaScript Object Notation, is a readable format for structuring data. It is used primarily to transmit data between a server and a web application. In regards to this script, this may be a custom intermediary web application designed to catch alerts and interface with an exchange ​API. The JSON message is a trade map for an application to read equipped with where its been, where its going, targets, stops, quantity; a full diagnostic of the current state and its previous state. A web application could be configured to follow the messages sent in this format and conduct trades in sync with alerts running on the TV server.   
 
Below is an example of a rendered JSON alert:  
 
 { 
    "passphrase": "1234", 
    "time": "2022-05-01T17:50:05Z", 
    "ticker": "ETHUSDTPERP", 
    "plot": { 
        "stop_price": 2600.15, 
        "limit_price": 3100.45 
    }, 
    "strategy": { 
        "position_size": 0.1, 
        "order_action": "buy", 
        "market_position": "long",
        "market_position_size": 0, 
        "prev_market_position": "flat", 
        "prev_market_position_size": 0 
    } 
} 
Trading Connector 
Trading Connector is a third party fully autonomous Chrome extension designed to catch alert webhooks from TradingView and interface with MT4/MT5 to execute live trades from your machine. Alerts to Trading Connector are simple; just select the destination from the input drop down menu, set your ticker in the "TC Ticker" box in the "Alert Strings" section and enter your URL in the alert window when configuring your alert.  
 
Alertatron 
Alertatron is an automated algo platform for cryptocurrency trading that is designed to automate your trading strategies. Although the platform is currently restricted to crypto, it offers a versatile interface with high flexibility syntax for complex market orders and conditions. To direct alerts to Alertatron, select the platform from the 3rd party drop down, configure your ​API key in the ”Alertatron Key” box and add your URL in the alert message box when making alerts.  
 
3 Commas 
3 Commas is an easy and quick to use click-and-go third party crypto ​API solution. Alerts are simple without overly complex syntax. Messages are simply pasted into alerts and executed as alerts are triggered. There are 4 boxes at the bottom of the "Inputs" tab where the appropriate messages to be placed. These messages can be copied from 3 Commas after the bots are set up and pasted directly into the settings menu. Remember to select 3 Commas as a destination from the third party drop down and place the appropriate URL in the alert message window.  
 
Discord 
Some may wish to share their trades with their friends in a Discord chat via webhook chat bot. Messages are configured to notify of the pattern type with targets and stop values. A bot can be configured through the integration menu in a Discord chat to which you have appropriate access. Select Discord from the 3rd party drop down menu and place your chat bot URL in the alert message window when configuring alerts.  
 
👉  For further information regarding alert setup, refer to the platform specific instructions given by the chosen third party provider.  
 
 
 
█  IMPORTANT NOTES 
 
 
Setting Alerts 
For alert messages to be properly delivered on order fills it is necessary to place the following placeholder in the alert message box when creating an alert.  
{{strategy.order.alert_message}}This placeholder will auto-populate the alert message with the appropriate syntax that is designated for the 3rd party selected in the user menu.  
 
Order Sizing and Commissions 
The values that are sent in alert messages are populated from live metrics calculated by the strategy. This means that the actual values in the "Properties" tab are used and must be set by the user. The initial capital, order size, commission, etc. are all used in the calculations, so it is important to set these prior to executing live trades. Be sure to set the commission to the values used by the exchange as well.  
 
 👉  It is important to understand that the calculations on the account size take place from the beginning of the price history of the strategy. This means that if historical results have inflated or depleted the account size from the beginning of trade history until now, the values sent in alerts will reflect the calculated size based on the inputs in the "Properties" tab. To start fresh, the user must set the date in the "Inputs" tab to the current date as to remove trades from the trade history. Failure to follow this instruction can result in an unexpected order size being sent in the alert.  
 
 
 
█  FOR PINECODERS 
 
 
 • With the recent introduction of matrices in Pine, the script utilizes a matrix to track ​pivot points with the bars they occurred on, while tracking if that ​pivot has been traded against to prevent duplicate detections after a trade is exited.  
 • Alert messages are populated with placeholders; capability that previously was only possible in alertcondition(), but has recently been extended to `strategy.*()` functions for use in the `alert_message` argument. This allows delivery of live trade values to populate in strategy alert messages.  
 • New arguments have been added to strategy.exit(), which allow differentiated messages to be sent based on whether the exit occurred at the stop or the limit. The new arguments used in this script are `alert_profit` and `alert_loss` to send messages to Discord 
                    
                
					
                        
                            Release Notes:                        
                        
                            Updated trailing stop calculation to mitigate a bug caught by @livetrend. Thanks a bunch for that my friend!

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            Quick update to plot titles for display in the data window.

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            Updated to set the default alert message to contain the necessary placeholder for parsing messages from order fills to alerts.

                        
                    
				

Bjorgum Double Tap

This is a simple strategy that is working well on SPY but also well performing on Mini Futures SP500. The strategy is composed by the followin rules: 
 
1. If RSI(2) is less than 15, then enter at the close. 
2. Exit on close if today’s close is higher than yesterday’s high. 
 
If you backtest it on Mini Futures SP500 you will be able to track data from 1993. It is important to select D1 as timeframe. 
 
Please share any comment or idea below. 
 
Have a good trading, 
Ramón.

Hobbiecode - RSI + Close previous day


                    
                        This Strategy uses a EMA as a trend filter and MACD for entries. The stoploss can be calculated by the last highs/lows or by the ATR. 
 
Entry Conditions 
Long: 
 close price must be above the EMA 
 MACD-Line crossover MACD-Signal-Line 
 MACD-Signal- Line mus be below 0 
 
Short: 
 close price must be below the EMA 
 MACD-Line crossunder MACD-Signal-Line 
 MACD-Signal- Line mus be above 0 
 
Exit Conditions 
The Stoploss can be set in two different ways: 
1. By the calculated ATR value of the entry Candle. This Value can be multiplied with the ATR multiplier for SL.  
For Longs: SL = entry Price - ATR * ATR-multiplier 
For Shorts: SL = entry Price + ATR * ATR-multiplier 
 
2. By the previous highest high or lowest low (also called Donchain Channels). The lookback length can be changed in the at Lookback length for HH/LL SL. 
For Longs: SL = LL of the last X candles 
For Shorts: SL = HH of the last X candles 
 
Take Profit 
The TP is calculated by the Risk * Risk Reward Ratio. The Risk Reward Ratio can be changed in the Settings. The Risk is the difference of entry price and stoploss price: Risk = absolute(entry price - stoploss price) 
For Longs: TP = entry Price + Risk * Risk Reward Ratio. 
For Shorts: TP = entry Price - Risk * Risk Reward Ratio. 
 
Risk Management 
You can set the Risk % per Trade in the settings. A Value of 2 means that the position size is calculated in a way that at a loosing trade the strategy will only loose 2% of the current capital (initial capital + net profit).  
E.g.: The current capital is $1000 and a trade hits the SL. The strategy will only loose $20. 
 
 
Info for Alerts: Alert message conversion of JSON Strings. You don't need to add any \n or \" to the alert String. 
When you create the Alert the Message must be: {{strategy.order.alert_message}}
                    
                
					
                        
                            Release Notes:                        
                        
                            General: 
- added option to select/unselect Strategy Conditions (Signal Line above/below Threshold, EMA Trend Filter) 
 
Range Filter: 
- added ADX Range Filter to filter flat markets 
 
Take Profit: 
- added option to Exit a Trade based on a returning MACD-cross (instead of Risk Reward Ratio) 
- added optional partial Take Profit 
 
Stop Loss: 
- added optional Stop Loss Limit to cap a Stop Loss by a fixed percent 
 
Backtesting: 
- added option to unselect compound interest 
- added Session and Weekday Filter

                        
                    
				
					
                        
                            Release Notes:                        
                        
                             added Trailing Stop Loss Option 
 added Option to Move Stop Loss to Breakeven 
 added 'ATR Stop Loss - Entry Candle Source' variable 


                        
                    
				

MACD

MACD Strategy [Trading Nerd]

This strategy uses the MACD indicator to determine buy and sell signals. In addition, the strategy employs the use of "TrueLevel Bands," which are essentially envelope bands that are calculated based on the linear regression and standard deviation of the price data over various lengths. 
The TrueLevel Bands are calculated for 14 different lengths and are plotted on the chart as lines. The bands are filled with a specified color to make them more visible. The highest upper band and lowest lower band values are stored in variables for easy access. 
The user can input the lengths for the TrueLevel Bands and adjust the multiplier for the standard deviation. They can also select the bands they want to use for entry and exit, and enable long and short positions. 
The entry conditions for a long position are either a crossover of the MACD line over the signal line or a crossover of the price over the selected entry lower band. The entry conditions for a short position are either a crossunder of the MACD line under the signal line or a crossunder of the price under the selected exit upper band. 
The exit conditions for both long and short positions are not specified in the code and are left to the user to define.  
Overall, the strategy aims to capture trends by entering long or short positions based on the MACD and TrueLevel Bands, and exiting those positions when the trend reverses.

Linear Regression

Standard Deviation

MACD TrueLevel Strategy

I wrote this strategy about a year ago, but decided to publish it just now. I have not been able to implement this strategy in the market. If you can, then I will be happy for you. 
 
This strategy is based on my "Botvenko Script". (It finds the difference between the logarithms of closing prices from different days.) (Check this script in my profile) 
 
Then the strategy makes trades when the "Botvenko Script" indicator crosses the levels set earlier and manually selected for each currency pair/shares: long/short opening/closing levels, long/short re-entry levels. (They are drawn with horizontal dotted lines.) The names of these lines are: buy/sell level, long/short retry - too low/high, long close up/down, dead - close the short. Manual selection of each of the parameters provides a qualitative entry of the strategy into the deal. However, without restraining mechanisms, the strategy enters into rather controversial deals. In order to avoid going long/short during bear/bull markets, which is unacceptable, I added a fan of EMA lines. 
 
The fan consists of several EMA lines, which are set according to Fibonacci numbers (21, 55, 89, 144). If the lines in the fan are arranged in ascending order (ema_21>ema_55 and ema_55>ema_89 and ema_89>ema_144), then this indicates a bull market, during which I banned shorting. And vice versa: during the bear market (ema_21<ema_55 and ema_55<ema_89 and ema_89<ema_144) I banned long trading. If these two inequalities are not met, then this indicates that the market is flat, and during it it is allowed to enter any transactions, because a flat is a good moment to catch massive movements in the future by entering a transaction. (This is all visualized using semi-transparent thick lines of green, yellow and red colors.) 
 
By default, all parameters are adjusted for the btc/usd (bitstamp) pair. Best of all, the strategy shows itself if 1 candle = 1 day. 
 
At the time of writing, on the pair btcusd (bitstamp) (1d) with pyramiding = 1, the strategy shows a profit of 64728896%. If pyramiding is increased by 1, then the profit will be greater, but I still prefer pyramiding = 1. 
 
There is a possibility that my strategy is doing complete nonsense. I don't vouch for her. 
 
If you select parameters for other pairs of currencies/stocks, then you should not change anything in the fan of lines. 
 
That's all, probably.
 
 
					
 
 Release Notes: 
 
 Changed the default values of some parameters to better ones.

 
 
				
					
 
 Release Notes: 
 
 I added another EMA line to determine the direction of the market, corrected some inaccuracies in the code.

Boftei's Strategy

This strategy aims to capitalize on weekly market cycle on top stocks and cryptocurrencies.
It Combines the RSI, Averaging In and the Lowest Bars in a Single System. 
The current Configuration is designed for the Daily Timeframe. 
Feel free to play with the Parameters and keep in mind that Larry Intended to buy fear and sell the greed! 
 
The Rules are the following: 
 
---Buy--- 
Buy, if the lowest Bar of your Configuration has been hit (default is set to 7). 
 
---Average Down-- 
Buy, if the lowest Bar of your Configuration * Your open trades has been hit AND only if the buyin is atleast 1% cheaper. 
 
---Close--- 
Close, if the RSI closes above a certain level (default is set to 70). 
 
---TP--- 
There is no TP 
 
---SL--- 
There is no SL, so be cautions of your tail Risk!
                    
                
					
                        
                            Release Notes:                        
                        
                            Added a Medium Term Filter to Buy only if the Close is above the 55 Day average if onlyBuyWhenAbove55Average is true. 
Larry Connors sugested beeing above 200 Days, the Turtle Traders use 20 or 55 Days instead.

                        
                    
				

I11L - Reversal Trading Ideas by Larry Connors

Big Player Flow to calculate player sentiment. Approximates institutional ("big player") sentiment by combining positioning flows, breadth, valuations, momentum, volume, risk, and trend protection. It generates clear BUY (green) or SELL (red) signals to identify rotation and accumulation/distribution zones. Ideal for filtering trades, especially options premium selling in value/rotation stocks.

BPS v17 - Strong Trend Filter

Approximates institutional ("big player") sentiment by combining positioning flows, breadth, valuations, momentum, volume, risk, and trend protection. It generates clear BUY (green) or SELL (red) signals to identify rotation and accumulation/distribution zones. Ideal for filtering trades, especially options premium selling in value/rotation stocks.

this strategy uses laggard rsi to compute the best parameters to go long and tp at key levels. the overall trend strength within the rsi laggard indicator is what is used to automate the calculations within the script. enjoy and paramter optimize

ES cuh

This is an experiment of Moon Phases, likely buy when full moon and sell when new moon with few changes, like it would buy a day ahead or sometimes sell a day post these events, with Stop loss and take profits, 50% profitable so sounds good to me
Long only good for bitcoin gold, both modes(L+S) better for stocks and alt coins

Moon Phases Long/Short Strategy

🚀 Overview
Welcome to an institutional-grade trading framework based on John F. Ehlers’ advanced Digital Signal Processing (DSP) architecture. Unlike retail indicators (like standard RSIs or MACDs) that suffer from severe lag and get caught up in market noise, this strategy builds a mathematically pristine Even Better Sinewave (EBSW) model.

By running price through a 2-Pole High-Pass Filter (to eliminate macroeconomic trend drift/DC bias) and a subsequent SuperSmoother Filter (to eliminate high-frequency micro-noise), this strategy isolates clean, tradeable market cycles with nearly zero lag.

🧠 The Core Innovation: Dynamic Regime FilteringTraditional algorithms fail because they try to trade cycles in a strong trend (getting wiped out), or trade trends in a sideways market (getting chopped up).

This strategy solves that by introducing an Adaptive Trading Engine. It dynamically measures market energy via a rolling 10-bar Root-Mean-Square (RMS) loop, bounding the oscillator strictly between $-1.0$ and $+1.0$. This allows the system to identify two distinct market phases:


Cycle Mode: The market is mean-reverting and oscillating cleanly between the boundaries.


Trend Mode: A massive momentum breakout occurs, causing the wave line to flatten out completely ("Rail") against the absolute top or bottom ceiling. Instead of fighting the trend, the engine instantly pivots to ride the momentum.

📊 How to Trade (Strategy Execution Rules)
🟢 LONG SIGNALS
* Cycle Long: Enter Long when the wave line drops into the bottom oversold zone and crosses above -0.8. This catches the absolute mathematical turning point of a market floor.

* Trend Breakout Long: If a massive bull run starts, the wave line will hit the absolute ceiling (+1.0). The strategy waits for the line to remain pinned to the rail for 2 consecutive bars to confirm institutional momentum, then triggers a Long entry to ride the wave.

🔴 SHORT SIGNALS
* Cycle Short: Enter Short when the wave line climbs into the upper overbought zone and crosses below +0.8.

* Trend Breakout Short: If a severe crash occurs, the wave line will hit the absolute floor (-1.0). After re maining pinned to the bottom rail for 2 consecutive bars, the strategy enters a Short position to ride the breakdown.

🛑 SMART EXITS (Profit Protection)
* Exit Long: The strategy closes a long position immediately if the trend exhausts (wave line detaches from the ceiling and drops below 0.95) OR if the cycle momentum dies (wave line crosses below the equilibrium center line 0.0).

* Exit Short: The strategy closes a short position immediately if the downward trend stalls (wave line detaches from the floor and rises above -0.95) OR if the bearish momentum dies (wave line crosses back above the center line 0.0).

1. The Trading Setup on Your Chart
When you load this script, it plots an independent indicator panel below your main price chart:

* The Wave Line: A fast, ultra-smooth line that dynamically shifts color (Green/Lime for bullish momentum, Maroon/Red for bearish momentum).

* The Thresholds (+0.8 and -0.8): Dashed yellow lines marking the boundaries of the normal market cycle.

* The Rails (+1.0 and -1.0): The absolute boundaries of the indicator window.

1. The Trading Setup on Your Chart
When you load this script, it plots an independent indicator panel below your main price chart:

The Wave Line: A fast, ultra-smooth line that dynamically shifts color (Green/Lime for bullish momentum, Maroon/Red for bearish momentum).

The Thresholds (+0.8 and -0.8): Dashed yellow lines marking the boundaries of the normal market cycle.

The Rails (+1.0 and -1.0): The absolute boundaries of the indicator window.

2. Trade Execution Rules (Step-by-Step)
Scenario A: The Market is Ranging (Cycle Mode)
In a normal, choppy, or sideways market, prices swing back and forth. The wave line will cleanly bounce between the upper and lower yellow threshold lines.

How to Buy: Watch the wave line drop into the bottom green zone (below -0.8). The moment the wave turns up and crosses above -0.8, the strategy triggers a Long Entry (DSP_LONG). This catches the absolute turning point of a cycle bottom with almost zero lag.

How to Sell: Watch the wave line climb into the top red zone (above +0.8). The moment the wave turns down and crosses below +0.8, the strategy triggers a Short Entry (DSP_SHORT).

Scenario B: A Strong Trend Breaks Out (Trend Mode)
Standard oscillators fail here because they give false reversal signals during a massive breakout. Ehlers' Sinewave handles this beautifully: when a massive trend starts, the wave line hits the absolute floor (-1.0) or ceiling (+1.0) and flattens out completely. This is called "Railing."

How to Buy: If a sudden bullish breakout happens, the wave line will rocket up and smash flat against the +1.0 ceiling. The strategy waits for it to stay pinned for 2 consecutive bars to confirm it isn't a fluke. It then instantly triggers a Long Entry to ride the macro momentum.

How to Sell: If a severe market crash happens, the wave line will dive and flatten against the -1.0 floor. After 2 consecutive bars of remaining pinned to the bottom rail, the strategy enters a Short Entry to ride the crash downward.

3. The "Smart Exit" Logic
Getting into a trade is only half the battle. The most accurate part of this script is how it exits positions before the profit evaporates.

Exiting a Long Trade: 1. If you bought a trend breakout and the wave line finally detaches from the ceiling (drops below 0.95), the trend is exhausting. Exit immediately.
2. If you bought a regular cycle and the wave line crosses below the equilibrium center line (0.0), the bullish cycle is officially dead. Exit immediately.

Exiting a Short Trade: 1. If you shorted a breakdown and the wave line detaches from the floor (rises above -0.95), the downward momentum is stalling. Exit immediately.
2. If you shorted a cycle and the wave line crosses back above the center line (0.0), the bears have lost control. Exit immediately.

⚙️ Key Features
* Pine Script v6 Native: Written from scratch using the modern v6 compilation standards for lightning-fast execution and backtesting.

*Zero Repainting: All recursive filter states (
HP
[1]$, $ss[1]$) are tracked linearly across historical bars. What you see in the backtester is exactly what you get live.

Universal Alerts Engine: Includes a unified alert() implementation. You can set a single alert using "Any alert() function call" to get precise Buy, Sell, and Exit webhook payloads delivered with real-time symbol asset and price data.

Advanced Ehlers DSP Adaptive Strategy with Alerts

This strategy is based on VFI indicator published by  UTS.   
 
for the strategy purpose , I have added buy line and sell line to the indicator  and tested  SPY stock/index on one hour chart 
 
BUY RULE 
========== 
1. EMA 50 is above EMA 200 
2. vfi line is pulled down and crossing above -4  
 
 
EXIT RULE 
========== 
1. when vfi line crossing down 5 
 
 
STOP LOSS 
========= 
1. default  stop loss is set to  5% 
 
ALL the  above  values (Buy Line , Sell line  and Stop Loss ) can be modified in settings window 
 
Notes : 
more details of VFI indicator can be found at   mkatsanos.com/volume...-flow-vfi-indicator/     and      precisiontradingsyst....com/volume-flow.htm 
 
Warning: 
for educational purposes only 
 


VFI  strategy [based on VFI indicator published by  UTS]

Hello, everyone! 
 
 
We have just released an innovative strategy for TradingView. It allows you to facilitate the trading process when you have to use both indicators. 
 
This strategy is: 
 
User-friendly 
Configurable 
Equipped with the combination of Relative Strength Index (RSI) and Moving Average (MA) indicators 
Designed with all required functions to manage positions 
 
 
Features 
 
The RSI+MA strategy can: 
Identify entry points for Long and Short positions. 
Depict RSI and MA values concerning each other. 
Reduce visual congestion and import usability thanks to using a combo of 2 indicators. 
Allow using pivot trading.  The RSI+MA strategy will enter a Long position according to the Short position conditions. And vice versa. 
 
Note! If you want to open a Long position, the RSI line should cross MA from top to bottom. If you want to open a Short position, RSI has to cross MA from bottom to top.  
 
 
Parameters 
 
We have equipped our strategy with more than 14 additional parameters. So, you can configure the EA according to your needs! 
 
Inputs: 
Use Reverse Trade — allows swapping Long and Short positions opening conditions.  
Resolution — allows you to view an indicator with data on a higher or lower timeframe on the current chart.  
RSI Length  
RSI Source: Open, High, Low, Close, HL2, HLC3, OHLC4 
Show MA — allows you to enable or disable MA displaying.  
MA Length  
MA Offset 
 
Style: 
RSI — RSI indicator line color and style settings.  
MA — MA indicator line color and style configuration.  
Upper Band — allows customizing line style, color, and RSI upper bound value.  
Lower Band — allows you to customize line style, color, and RSI lower bound value.  
Background — background color setting within the RSI upper and lower borders.  
Precision — number of decimals for RSI values.  
 
 
Note! Try RSI+MA on your demo account first before going live. 


RSI + MA Strategy

if ta.change(direction) < 0
strategy.entry("My Long Entry Id", strategy.long)

if ta.change(direction) > 0
strategy.entry("My Short Entry Id", strategy.short)

超趨勢策略 (中文)-Caelus

This is a swing trading crypto correlation strategy, based initially on technical ratings but adapted to the entire crypto market environment , by using as a source of calculations the candle values from CRYPTOCAP:TOTAL. 
 
So since TOTAL, is the sum of all the crypto currencies, its going to be our leader. We will get the entries and exits , internally from it and input them into the crypto coins(more than 80-90% of the usdt perpetual pairs are following the same direction but with a higher volatility), and with this in general is going to give us as much better risk/reward than just by trading 1 coin alone. 
So this means that all coins will enter and exit at the same time forom a trade.  With this, since sometimes we have sudden big changes in the price form one side to another, is going to break a little this effect and since the initial movements were bigger, it would make us lose less. At the same time it can also make us lose more if the changes happen to soon. 
 
One of the things of this particular idea is  we dont have to worry about particular optimizations for each asset/coin. 
 
This scenario has been adapted for 30min timeframe, using 0.1% comission per entry and 0.1% comission for exit from the trade. 
 
I have tested so far with most USDT Perpetual Pairs from binance, and it seems to give good results with most of the pairs. 
 
 
If you have any question please let me know ! 
 


Crypto Correlation Strategy based on Technical Ratings 

Hello Traders,

This strategy is based on the popular Supertrend indicator, which many traders use as a simple trend-following tool. The core entry logic is straightforward:

Buy (Long) when the price closes above the Supertrend line.
Sell (Short) when the price closes below the Supertrend line.

However, trading success isn’t only about entries — proper risk management makes all the difference. That’s why this strategy includes four stop-loss methods, two take-profit types, and a trailing stop-loss system. You can customize all of these settings to create your own personalized version.

🛑 Stop-Loss Methods


Tick – Uses the instrument’s smallest price increment. Ideal for tick-based markets such as Futures or Forex.

Percent – Defines the stop-loss as a percentage of entry price. Commonly used in Crypto trading.

ATR – Uses the Average True Range value to determine stop-loss distance. Perfect for adapting to changing market volatility.

Supertrend – The stop-loss level is set at the Supertrend line value at the time of entry.

🔁 Trailing Stop-Loss & Reverse Signals

Trailing SL: If enabled, the chosen stop-loss method will trail the price dynamically from the moment the position opens.

Close with Reverse Signals: When activated, the current position closes and reverses on an opposite signal. If disabled, the strategy waits until the current position is closed before opening a new one.

🎯 Take-Profit Options


Tick – Set a fixed take-profit level based on tick distance.

Percent – Set take-profit based on a percentage change from entry.

Ratio – Sets take-profit based on the entry-to-stop-loss distance × ratio value.

Each take-profit method allows you to define the percentage of position to close at that level.

⚖️ Breakeven Option

When Breakeven is enabled, after the first take-profit is triggered, the stop-loss automatically moves to the entry level, protecting your capital.

⚙️ Additional Settings

Position Type: Choose between Long only, Short only, or Both directions.

Session Filter: Trade only during specific time ranges. Activate this option and set your desired session hours (make sure to select your correct timezone).

📈 Visuals

The strategy plots entry, stop-loss, and take-profit levels directly on the chart, allowing you to clearly visualize your trades and manage them effectively.


Feel free to ask any questions or suggest improvements — this strategy is built for flexibility and experimentation!

Supertrend Strategy With Multi Tp & Tsl

This CCI strategy will allow you to enter a long or short off a CCI zero line cross or control entries and exits from custom upper and lower band lengths. You can set a custom upper band which it will buy when it crosses up and then a custom upper band exit which it will sell when it crosses down. For a short you can set a custom lower band which it will short when it crosses down and the custom lower band exit which it will exit the short when it crosses up. Be sure to enter slippage and commission into the properties to give you realistic results. 
 
I've also built in backtesting date ranges and the ability to trade only within certain times of day and have it close all trades at the end of that time frame. This is especially useful for day trading stocks. If you check off "Enter First Trade ASAP" then when using the time frame option it will enter the current trade. If however you uncheck that box and instead check off "Wait To Enter First Trade" it will wait for the trend to change and then enter. 
 
You can also specify a % based take profit and stop loss. Also keep in mind that if you have "Enter First Trade ASAP" checked off and use the stop loss and/or take profit then it will re-enter the current trend again. 
 
Finally there's custom alert fields so you can send custom alert messages for strategy entry and exit for use with automated trading services. Simply enter your messages in the fields within the strategy properties and then put {{strategy.order.alert_message}} in your alert message body and it will dynamically pull in the appropriate message.

CCI Strategy

 This is combo strategies for get a cumulative signal.  
 
 First strategy 
 This indicator plots 2/20 exponential moving average. For the Mov  
 Avg X 2/20 Indicator, the EMA bar will be painted when the Alert criteria is met. 
 
 Second strategy 
  Bear Power Indicator 
  To get more information please see "Bull And Bear Balance Indicator"  
  by Vadim Gimelfarb.  
 
 WARNING: 
 - For purpose educate only 
 - This script to change bars colors.

Bear Power

Combo 2/20 EMA & Bear Power

Gold ramon strategy based on 50 candles and atr of 12

You enter the maximum of 50 candles once the most bearish starts to rise, we expect 10 candles, if you don't go up in 10 candles, you don't enter, if you go up before 10 candles, you enter.

When is TP? Enough with 5 candles

The temporality is 1 hour. It can be adjusted to 1 minute temporality for scalping.

It is never lost, because it always exceeds the previous maximums.

nadia

Please subscribe to Premium to see this strategy description.

Try Premium to view this strategy and 100K+ others.

BINANCE:ONDOUSDT

BINANCE:UNIUSDT

The RSI Divergence Strategy is well-suited for traders who excel at technical analysis and have a keen eye for spotting trends and reversals. This strategy caters to those with a solid understanding of the Relative Strength Index and its divergence patterns in relation to price movements.
<ul>
 <li>Day Traders: With its ability to generate quick signals for potential reversals, day traders can benefit from short-term price movements.</li>
 <li>Swing Traders: Though primarily used for scalping, with adjustment of the RSI length and divergence parameters, swing traders can also utilize this strategy to capture larger market swings over a few days or weeks.</li>
 <li>Scalpers: The default settings are configured for scalping, making it ideal for traders looking for rapid trade execution and small profit margins multiple times within a trading day.</li>
</ul>
This strategy is versatile and can be adapted to different time frames and market conditions, appealing to a wide range of traders with varying trading styles.

Improving the RSI Divergence Strategy in manual trading hinges on refining entry signals, enhancing risk management, and tailoring the strategy to align with individual trading styles. To elevate the effectiveness of this strategy, the following plan outlines key areas of enhancement:

<ul>
 <li>
 Multiple Time Frame Analysis: Validate RSI divergence signals by conducting a multiple time frame analysis. For instance, if a divergence is spotted on a 15-minute chart, check the 1-hour chart to ensure it corroborates the direction of the trade. This helps filter out weaker signals and increases the reliability of potential trades.
 </li>
 <li>
 Volume Confirmation: Use volume indicators to confirm divergence signals. A divergence accompanied by significant changes in trading volume can validate the likelihood of a strong reversal.
 </li>
 <li>
 Combination with Other Indicators: Incorporate other technical indicators like Moving Averages (MA), Bollinger Bands, or MACD to provide additional confirmation or exit signals. For example, entering a trade when the price crosses a MA line, while a divergence is present, can add an extra layer of confirmation.
 </li>
 <li>
 Refined Entry and Exit Points: Sharpen entrance strategies by waiting for a candlestick pattern that confirms the direction implied by the divergence. For exits, instead of a fixed percentage, use a dynamic stop loss like the Average True Range (ATR) to adapt to current market volatility.
 </li>
 <li>
 Price Action Analysis: Integrate price action analysis such as support/resistance levels, trendlines, and chart patterns to pinpoint more precise entry and exit points. This can significantly improve the accuracy and profitability of the strategy.
 </li>
 <li>
 Backtesting and Forward Testing: Regularly backtest the modified strategy against historical data and forward test in a simulated environment. This should be done each time a significant change is made to the strategy, to ensure its effectiveness and to fine-tune any parameters.
 </li>
 <li>
 Journaling and Review: Maintain a trading journal documenting all trades, observations, and modifications to the strategy. Periodically review the journal to identify patterns in successes and failures to continuously improve the trading approach.
 </li>
</ul>

These improvements should be considered iteratively, starting with one change at a time. This systematic approach ensures that the impact of each enhancement can be measured, thereby understanding its effectiveness before adding additional layers of complexity.

This trading strategy employs RSI Divergence combined with calculated linear regression to identify potential entries for long and short positions. Entry signals are generated when there&apos;s a divergence between the RSI trend and the price trend, with specific conditions for trade entry and exit based on profit targets and stop levels.

To trade this strategy manually on TradingView:
<ul>
 <li>Apply the RSI indicator with a length of 14 to your chart.</li>
 <li>Plot two linear regression lines: one for the RSI (over the past 14 periods) and another for the price (also over the past 14 periods).</li>
 <li>Identify divergence between the RSI line&apos;s direction and the price line&apos;s direction. A bullish divergence occurs when the RSI is making higher lows while the price is making lower lows. Conversely, a bearish divergence occurs when the RSI is making lower highs while the price is making higher highs.</li>
 <li>Enter long positions when a bullish divergence is identified, and the RSI has not gone above 70 in the past 7 bars (indicating an overbought condition).</li>
 <li>Enter short positions when a bearish divergence is identified, and the RSI has not gone below 30 in the past 7 bars (indicating an oversold condition).</li>
 <li>For long entries, set a take profit level at 25% above the entry price and a stop loss at 5% below the entry price. Optionally, employ a trailing stop of 0.25% from the entry price.</li>
 <li>For short entries, set a take profit level at 25% below the entry price and a stop loss at 5% above the entry price. Similarly, you can use a trailing stop of 0.25% from the entry price.</li>
 <li>Close positions when the take profit or stop loss level is reached, or manually when you observe the trend reversing or weakening.</li>
</ul>

<ul>
 <li>Strategy Essence: Utilizes RSI divergences to pinpoint market reversals, providing entry signals for trades.</li>
 <li>Automation: Executable through a TradingView script, automating trade entries and exits based on predefined RSI values and divergence.</li>
 <li>Alerts: Incorporates alert conditions within the script to notify traders of potential trade opportunities as they arise.</li>
 <li>Manual Trading: Can be manually operated by visually identifying divergences and confirming with RSI and price action analysis for more control.</li>
 <li>Combination: Best utilized by merging automated alerts with manual analysis, especially for refinement of entry and exit points.</li>
 <li>Optimization: Improved through multi-time frame analysis, volume confirmation, integration with other indicators, and evaluative tools like ATR for dynamic stop losses.</li>
 <li>Risk Management: Enhanced by using price action analysis, support/resistance levels, and by maintaining a comprehensive trade journal.</li>
 <li>Trading Style Versatility: Adaptable for day traders, swing traders, and scalpers by adjusting RSI and divergence settings to match the desired trading tempo.</li>
</ul>

The RSI Divergence Strategy employs the Relative Strength Index (RSI) to identify divergence signals that suggest potential reversals in price. Traders utilize this method by setting &quot;take profit&quot;, &quot;stop loss&quot;, and optional trailing stops to optimize their exit points. Customizing RSI length, source, and divergence line length allows for tailored strategies. Although primarily used for scalping, settings can be adjusted for various trading approaches. Note: &quot;Zoom&quot; feature only alters visual scale, not performance.

The RSI Divergence Strategy employs the RSI Divergence indicator on TradingView to identify potential buy or sell opportunities based on divergences between price action and RSI (Relative Strength Index) behavior. Divergence occurs when the RSI direction differs from the price trend, indicating possible trend reversals. The strategy provides customizable variables including &quot;take profit&quot;, &quot;stop loss&quot;, and &quot;trailing stop loss&quot; for optimizing trade exits.

<ul>
 <li>Long positions are initiated when a bullish divergence is detected, where the price makes lower lows while RSI makes higher lows. Conversely, short positions are signaled by a bearish divergence, characterized by higher highs in price and lower highs in RSI.</li>
 <li>The strategy&apos;s parameters such as &quot;RSI length&quot;, &quot;source&quot;, and &quot;RSI Divergence length&quot; allow traders to modify the RSI settings for different trade setups, whether it be scalping or longer-term strategies. Customization of these settings is crucial for aligning the strategy with individual trading goals and market conditions.</li>
 <li>Separate &quot;take profit&quot; and &quot;stop&quot; levels are provided for the buy and sell groups, making it possible to apply distinct exit strategies for long and short positions. The &quot;trailing stop&quot; feature dynamically adjusts the stop level as trades move into profit, helping to lock in gains.</li>
 <li>Furthermore, the script includes a &quot;zoom&quot; feature designed to visually adjust the indicator&apos;s scale on the chart without affecting the strategy&apos;s outcomes.</li>
</ul>
Traders using this script can adjust these inputs to fine-tune the strategy&apos;s sensitivity and risk management according to their specific trading style and risk tolerance.

BINANCE:ZECUSDT

This strategy is ideal for traders focused on capturing large, sustained market movements, making it suitable for those who prefer a long-term trend-following approach. Typically, this strategy aligns with position traders and some swing traders looking to capitalize on broader market trends over weeks or months rather than short-term price fluctuations.

<ul>
 <li>Position Traders: This strategy suits traders who are comfortable holding trades for extended periods, allowing trends to play out and minimizing the need for constant monitoring.</li>
 <li>Swing Traders: While not designed for rapid trades, it can be adapted for swing traders targeting medium-term opportunities in trending markets.</li>
</ul>

Markets like stocks, commodities, and currencies that exhibit prolonged trending behavior are particularly well-suited for this strategy. It provides a structured approach to ride trends while employing risk management via ATR-based stop-losses. Traders using this strategy should be patient and disciplined, as it involves fewer but potentially high-impact trades over time.

The Classic Long Term Trend Following System presents a robust framework for capturing long-term trends across various markets. However, manually enhancing this strategy can yield improved performance and adaptability. Below is a plan outlining potential improvements for manual trading:

<ul>
 <li>Refine Moving Average Parameters:
 <ul>
 <li>Experiment with adapting the fast and slow EMAs to market conditions. For instance, test different combinations such as a 30-period and a 100-period EMA to respond quicker to changing trends.</li>
 <li>Consider using adaptive moving averages that adjust dynamically based on market volatility to provide more accurate signals.</li>
 </ul>
 </li>
 <li>Dynamic Donchian Channel Adjustments:
 <ul>
 <li>Modify the channel length based on the average historical volatility of the specific asset, allowing for a more sensitive breakout detection in highly volatile markets.</li>
 <li>Incorporate volume analysis to filter out false breakouts. Confirm Donchian Channel signals with a significant increase in volume to ensure robust trend emergence.</li>
 </ul>
 </li>
 <li>Implementing Multiple Timeframe Analysis:
 <ul>
 <li>Complement the primary trading timeframe with higher timeframes to confirm trend strength and direction. For example, align entry conditions on a daily chart with a trend confirmed on a weekly chart.</li>
 </ul>
 </li>
 <li>Enhanced Risk Management via ATR Adjustments:
 <ul>
 <li>Adjust the ATR multiplier used for stop-loss to align with changing market conditions. Use a smaller multiplier during low-volatility periods and a larger one during high-volatility periods to avoid premature stopouts.</li>
 <li>Consider both fixed and trailing stop-loss methods. Begin with a fixed stop initially, transitioning to a trailing stop once a defined profit level is reached to secure gains.</li>
 </ul>
 </li>
 <li>Psychological and Behavioral Factors:
 <ul>
 <li>Establish strict rules regarding trade entry and exit to minimize emotional decision-making. Create a checklist for entering or exiting trades to ensure consistency.</li>
 <li>Employ journaling for every trade to analyze the effectiveness of the strategy over time, helping identify areas of further refinement.</li>
 </ul>
 </li>
 <li>Utilize Additional Indicators for Confirmation:
 <ul>
 <li>Incorporate RSI or MACD to provide additional context for momentum and potential trend reversals, confirming the strength of the signals from the EMAs and Donchian Channels.</li>
 </ul>
 </li>
</ul>

This trading strategy is a trend-following system using moving average crossovers, Donchian Channels, and ATR for entry and exit signals. It employs a fast (50-period) and slow (150-period) exponential moving average (EMA), alongside Donchian Channels to determine breakouts. The Average True Range (ATR) is used to calculate stop-loss levels and manage trailing stops.

To trade this strategy manually:
<ul>
 <li>Add two exponential moving averages (EMAs) to your chart: one with a length of 50 (fast) and another with a length of 150 (slow).</li>
 <li>Add Donchian Channels with a length of 50.</li>
 <li>For long entries:
 <ul>
 <li>Wait for the 50 EMA to cross above the 150 EMA (bullish crossover).</li>
 <li>Confirm that the price closes above the upper Donchian Channel.</li>
 </ul>
 </li>
 <li>For short entries:
 <ul>
 <li>Wait for the 50 EMA to cross below the 150 EMA (bearish crossover).</li>
 <li>Confirm that the price closes below the lower Donchian Channel.</li>
 </ul>
 </li>
 <li>Calculate the ATR with a length of 14 to determine stop-loss levels. Use this value multiplied by 4 for your trailing stop placement.</li>
 <li>Exit the long position if the price crosses below the lower Donchian Channel or the fast EMA crosses below the slow EMA.</li>
 <li>Exit the short position if the price crosses above the upper Donchian Channel or the fast EMA crosses above the slow EMA.</li>
</ul>

<ul>
 <li>Strategy Focus: Designed for trend-followers and position traders, aiming to capture long-term market trends in stocks, commodities, and currencies.</li>
 <li>How it Works: Utilizes 50 and 150-period exponential moving averages for trend direction, combined with a Donchian Channel for breakout signals.</li>
 <li>Use of ATR: Integrates the Average True Range (ATR) to calculate stop-loss and trailing stops, adapting to market volatility.</li>
 <li>Manual Trading: For manual use, traders should analyze EMA crossovers and Donchian Channel levels on TradingView, setting alerts for key breakout and crossover events.</li>
 <li>Automation and Alerts: Best used with a combination of alerts and manual analysis for timely trade decisions, ensuring trades adhere to signal conditions.</li>
 <li>Enhancing the Strategy: Optimize by adjusting EMA and Donchian lengths to suit market conditions, incorporate volume analysis for signal confirmation, and apply multiple timeframe analysis.</li>
 <li>Risk Management: Adjust ATR multipliers according to market conditions for dynamic stop-loss placements, and use trade journaling for evaluating performance.</li>
</ul>

This classic long-term trend-following system utilizes a 50-day breakout period and exponential moving averages of 40 and 120. It features a 4 ATR stop-loss, with recommended Donchian Channels settings of 50 days. Designed for stocks, commodities, and currencies, it replaces simple with exponential averages and refines the position size formula using syminfo.pointvalue. Includes a visual ATR trailing stop and a reduced pyramiding setting for simplicity and controlled drawdown.

The Classic Long Term Trend Following System is designed to capture sustained market trends across stocks, commodities, and currencies. It utilizes two key components: exponential moving averages (EMAs) and Donchian channels. The EMAs are set with a crossover period of 40 and 120 days, which helps determine bullish or bearish market conditions.

<ul>
 <li>Moving Averages: The strategy uses 40-day and 120-day exponential moving averages to identify trend direction. A crossover signals potential trade entry or exit points.</li>
 <li>Donchian Channels: 50-day periods are used for both the upper and lower channels to detect price breakouts.</li>
 <li>ATR Trailing Stop: Stop-loss is set 4 Average True Range (ATR) units away from the entry price, and a visual ATR trailing stop line is added to manage trades effectively.</li>
</ul>

The strategy involves buying when the fast EMA crosses above the slow EMA and if the current price breaks above the upper Donchian channel, while selling occurs when the opposite conditions are met. Position size is adjusted based on 1% risk per trade, affected by the ATR value.


                    
                        This is a classic long term trend following system.  
 
The breakout period is 50 days instead of 20 and the moving average crossover are 40 and 120.  
 
The moving averages are also exponential instead of simple.  
 
The stoploss is 4 ATRs away from the price.  
 
Recommendations: 
Donchian Channels settings > 50 days 
Moving Averages > 40 and 120, 80 and 140 
 
Important to note: 
My first strategy, DC Breakout System | This is simplicity at its finest, is best used on the crypto market and this one for stocks, commodities, currencies, etc. Those markets tend to trend a lot longer than crypto do. 
                    
                
					
                        
                            Release Notes:                        
                        
                            Replaced the multiplier in the position size formula with syminfo.pointvalue in order to get a more accurate position size.

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            Reverted the pyramiding setting from 4 back to 1 to keep the system simple and the max drawdown low.  
Added a visual ATR trailing stop, so you know where to put your stoploss.

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            Adjusted the position size formula.  
Improved the stoploss multiplier.

                        
                    
				

Classic Long Term Trend Following System

BYBIT:MNTUSDT

This strategy is particularly suited for traders who are comfortable with trend-following systems and have a good grasp of technical analysis. It&apos;s ideal for:

<ul>
 <li>Intermediate to Advanced Traders: Those with experience in utilizing Bollinger Bands and EMA indicators to recognize and react to market trends.</li>
 <li>Short to Medium-term Traders: The approach is compatible with day trading and swing trading, given that it demands frequent monitoring and the ability to react to market movements flexibly.</li>
 <li>Systematic Traders: Individuals who thrive on a rules-based strategy that revolves around clear indicators to signal entry and exit points.</li>
 <li>Adaptable Traders: Those who are willing to adjust parameters and incorporate supplemental tools such as Parabolic SAR to fine-tune their trading approach in response to varying market conditions.</li>
</ul>

This style of trading is less suited to long-term investors or those who prefer passive, set-and-forget trading methods.

To enhance the Trend #2 - BB+EMA strategy when applied to manual trading on TradingView, consider the following improvements:

<ul>
 <li>Optimize Indicator Settings:
 <ul>
 <li>Adjust the length of the Bollinger Bands and EMA based on the asset&apos;s volatility and the trading timeframe. Conduct back-testing for multiple periods to determine the most effective parameters.</li>
 <li>Experiment with the Parabolic SAR settings to better align with the asset&apos;s trend speed and reversal frequency, reducing the number of false signals.</li>
 </ul>
 </li>
 <li>Incorporate Additional Confirmations:
 <ul>
 <li>Use other momentum indicators such as the Relative Strength Index (RSI) or the Moving Average Convergence Divergence (MACD) for confirming entry and exit signals generated by the BB+EMA.</li>
 <li>Apply volume analysis to confirm breakouts. Look for high volume on breakouts above the upper Bollinger Band and breakdowns below the lower Bollinger Band for increased reliability.</li>
 </ul>
 </li>
 <li>Apply Multiple Time Frame Analysis:
 <ul>
 <li>Analyze charts on higher timeframes to gain insights into the broader market trend, and only take trades on the trading timeframe that align with this trend.</li>
 </ul>
 </li>
 <li>Enhance Risk Management:
 <ul>
 <li>Refine stop-loss placement by incorporating the Average True Range (ATR) to set dynamic stop-loss levels that adapt to market volatility.</li>
 <li>Implement a trailing stop-loss to lock in profits as the price moves favorably, rather than using a fixed percentage or distance from entry.</li>
 </ul>
 </li>
 <li>Consider Market Context:
 <ul>
 <li>Be cautious of trading signals during major news events or when unexpected market fluctuations are likely. Volatility can greatly affect indicator performance.</li>
 <li>Recognize support and resistance levels that might not be indicated by the strategy&apos;s current tools and consider their influence on trade management.</li>
 </ul>
 </li>
 <li>Continuous Learning and Adaptation:
 <ul>
 <li>Regularly review trade outcomes and journal experiences to identify recurring patterns or persistent issues that can be refined.</li>
 <li>Stay informed on changes in market conditions and be ready to adjust the strategy parameters and risk management techniques accordingly.</li>
 </ul>
 </li>
</ul>

By systematically implementing and testing these improvements, the effectiveness of the Trend #2 - BB+EMA strategy can be maximized in manual trading scenarios.

This trading strategy utilizes Bollinger Bands, Exponential Moving Average (EMA), and Parabolic SAR to signal entry and exit points within a user-defined time frame. Trades are initiated when the price crosses over the upper or lower Bollinger Band aligned with EMA and SAR indicators, and exited based on predefined stop-loss conditions.

To trade this strategy manually on TradingView:
<ul>
 <li>Add Bollinger Bands indicator and set the length to 100 periods and the standard deviation multiplier (StdDev) to 1.5.</li>
 <li>Add an EMA indicator and set its period to the &apos;EMA value&apos; input from the script, which defaults to 100.</li>
 <li>Add the Parabolic SAR indicator with the start value of 0.1, increment of 0.3, and maximum step of 1.</li>
 <li>Entry conditions:
 <ul>
 <li>For a long position, enter a trade when the EMA is below the upper Bollinger Band and price closes over the upper band. Cancel any existing short trades.</li>
 <li>For a short position, enter a trade when the EMA is above the lower Bollinger Band and price closes below the lower band. Cancel any existing long trades.</li>
 </ul>
 </li>
 <li>Exit conditions:
 <ul>
 <li>For a long position, exit the trade using a stop order placed at the higher of the basis (midline) of Bollinger Bands, EMA, or SAR if they are considered in the strategy.</li>
 <li>For a short position, exit the trade using a stop order placed at the lower of the basis (midline) of Bollinger Bands, EMA, or SAR if they are considered in the strategy.</li>
 </ul>
 </li>
</ul>

<ul>
 <li>Strategy Type: Trend-following, utilizing Bollinger Bands and Exponential Moving Average with Parabolic SAR for entry/exit signals.</li>
 <li>How it Works: Trades are executed when price crosses Bollinger Bands in conjunction with EMA and SAR indicators, with stop-loss orders dynamically positioned based on market moves.</li>
 <li>Manual Implementation: TradingView indicators can be set up manually to replicate signals, with discretion in interpreting and acting on such cues.</li>
 <li>Automation Potential: Alerts on TradingView can automate signal notifications, aiding traders to capitalize on opportunities quickly.</li>
 <li>Optimization: Adjust indicator settings and incorporate additional technical tools (like RSI or MACD) for confirmation to enhance accuracy.</li>
 <li>Multiple Timeframes: Employing higher timeframes can confirm overarching trends and improve the alignment of trades.</li>
 <li>Risk Management: Apply Average True Range for dynamic stop-losses and employ trailing stops to protect profits.</li>
 <li>Targeted Traders: Best for those experienced in technical analysis and comfortable with actively managing trades in short to medium terms.</li>
 <li>Flexibility &amp; Learning: Regular strategy review and adaptability to market changes are essential for maintaining effectiveness.</li>
</ul>

The Trend #2 - BB+EMA strategy leverages Bollinger Bands alongside Exponential Moving Averages, optimizing position management. It actively adjusts stop-loss levels close to opening prices during negative price movements to minimize losses, and trails stops near current prices to secure gains as trends develop. Its generalizability is demonstrated by effective performance across various cryptocurrencies. Enhancements include a SAR boost to address EMA delay issues, a refined UI, and script improvements in subsequent versions.

The Trend #2 - BB+EMA strategy integrates Bollinger Bands (BB) with Exponential Moving Averages (EMA) to dynamically manage positions for cryptocurrency trading. The strategy establishes positions based on the interaction between the price, Bollinger Bands, and EMA. It modifies stop prices according to the direction of the market move:
<ul>
 <li>If the price moves adversely, the EMA adjusts the stop price closer to the entry, aiming to minimize potential losses.</li>
 <li>Conversely, if the price trends favourably, the EMA aligns the stop price near the current price to secure gains.</li>
</ul>
V2 introduced a SAR boost to address lag at the end of the EMA, enhancing responsiveness. Subsequent releases optimized the UI and made minor adjustments for improved performance. In practice, the strategy uses the EMA to filter entry points when the price crosses the BB, and applies the SAR for a dynamic stop mechanism.


                    
                        What is the Trend #2 - BB+EMA? 
This strategy uses a combination of Bollinger Bands and Exponential Moving Averages, and adds the position management skills. 
When a position is established, if the price moves in the wrong direction, EMA will move the stop price closer to the opening price, which will reduce losses during the shocks. 
If the price moves in the right direction, EMA will be close to the latest price to try to keep the profit. 
Once a trend starts to emerge, the strategy is bound to capture the opportunity. I think this is a very smart way to do it. 
This strategy performs well in almost all cryptocurrencies, it's mean the strategy has good generalizability.
                    
                
					
                        
                            Release Notes:                        
                        
                            V2 
Add - SAR boost. This function is used to correct the passivation problem at the end of the EMA.

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            V3 - Optimize UI

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            V4 - Minor changes to the script

                        
                    
				

Trend #2 - BB+EMA

"Rompe la banda → entras rápido. El TP no es fijo, sino que se mueve con la volatilidad (ATR). Ves 3 etiquetas 'TP' en el camino, y la operación se cierra automáticamente en la tercera. Así ganas con movimientos pequeños y medianos, no solo con grandes explosiones."

XAUUSD-Bollinger - 3 TPs (Frecuentes)

BINANCE:DOGEUSDT

BINANCE:FTTUSDT

This strategy is best suited for swing traders and patient position traders who have a medium-term bullish outlook on an asset. It is not for scalpers or those who cannot tolerate seeing a position in drawdown.
The ideal user is a systematic trader who wants to:
<ul>
 <li>Buy into pullbacks within a larger uptrend.</li>
 <li>Trade mean-reversion scenarios, anticipating a bounce from a support zone.</li>
</ul>
This style requires patience to wait for the price to drop to your entry levels and the discipline to let the DCA process play out. It&#x2019;s for traders who prefer to accumulate a position at a favorable average price rather than chasing momentum or breakouts. It excels in trending or range-bound markets where dips are temporary and likely to reverse.

While the Leonardo Fibonacci DCA strategy automates entries, its performance can be significantly enhanced by adding a layer of manual, discretionary analysis. Instead of letting it run blindly, use it as a semi-automated assistant that you guide based on market conditions.

1. Qualify Your Entry Zones
Don&apos;t activate the strategy on any random dip. Your first job is to identify high-probability reversal zones before turning the script on.
<ul>
 <li>Higher-Timeframe Support: Before considering a trade, zoom out to the 4-hour or Daily chart. Identify major horizontal support levels, key moving averages (like the 200 EMA), or significant trendlines. Only enable the DCA strategy when the price enters one of these pre-defined zones. This prevents you from buying into a free-fall with no structural support below.</li>
 <li>Volume &amp; Candlestick Confirmation: As the price enters your zone and the first DCA orders are about to trigger, look for confirmation. A bullish hammer or engulfing candle, coupled with a spike in buying volume, signals that buyers are stepping in. If you see price falling on high volume with no bullish candle patterns, it&apos;s a warning sign to stay out.</li>
</ul>

2. Active Exit Management
The automated exits are a baseline, but you can often do better by managing the trade manually.
<ul>
 <li>Dynamic Profit Taking: The Fibonacci targets are a good guide, but don&apos;t be rigid. If the price is showing extreme bullish momentum and blows past your first target, consider holding for a higher extension or using a manual trailing stop to maximize gains. Conversely, if the price struggles to reach the target and forms bearish reversal patterns at a resistance level, take your profits early.</li>
 <li>Smarter Stop-Loss Placement: The moving average crossover stop can be slow to react. A more robust approach is to place a manual hard stop-loss below the entire support structure you initially identified. If the price breaks that structure, the reason for the trade is invalidated, and you should exit immediately.</li>
</ul>

The Leonardo Fibonacci DCA Strategy is a dollar-cost averaging (DCA) tool designed to systematically buy into a falling market to achieve a better average entry price.

To get started, open a chart on TradingView, click the &quot;Indicators&quot; tab, and search for &quot;Leonardo Fibonacci DCA Strategy&quot; in the Community Scripts section to add it.

When backtesting, focus on these critical parameters across multiple symbols and markets:
<ul>
 <li>Time Frame: Test higher timeframes (e.g., 1H, 4H) for less volatile assets and lower timeframes (e.g., 15m, 30m) for more volatile ones.</li>
 <li>Order Count &amp; Indent Price: These are linked. A higher order count with a tight price gap works in low-volatility trends. A lower count with a wider gap is better for catching deep, volatile dips.</li>
</ul>

For live trading, you can either:
<ul>
 <li>Automate: Configure alerts within the strategy settings to send webhook signals to an automated trading bot for hands-free execution.</li>
 <li>Trade Manually: Set up alerts for each entry and exit signal. When an alert triggers, you execute the trade yourself.</li>
</ul>

Thoroughly backtest to find the optimal settings for each asset. Your goal is to adjust the Fibonacci profit targets against the stop-loss conditions to discover the most effective risk/reward ratio for your style.

<ul>
 <li>What it is: A systematic Dollar-Cost Averaging (DCA) strategy designed to accumulate a position by buying into price drops.</li>
 <li>How it works: The strategy places a series of buy orders at pre-defined percentage drops to improve your average entry price. Take-profit is set using Fibonacci levels, and the stop-loss is triggered by a moving average cross or a time limit.</li>
 <li>How to use it: Add it to a TradingView chart. You can automate it via webhooks or set up alerts for manual execution.</li>
 <li>How to optimize it: Enhance performance by only activating the strategy when the price enters a pre-identified high-timeframe support zone. Wait for volume and candlestick confirmation before letting the first order trigger.</li>
 <li>How to manage risk: Go beyond the automated exits. Set a manual hard stop-loss below the key support structure. Be flexible with profit-taking; if momentum is strong, let it run, and if it stalls, consider exiting early.</li>
</ul>

This strategy automates Dollar-Cost Averaging (DCA) by buying as the price drops. You define the number of buy orders and the percentage drop for each entry, lowering your average cost. Take-profit targets are set using Fibonacci ratios. The position is closed for a loss if a moving average crosses below your final entry price or if a time limit is reached. It&apos;s a structured way to buy into dips and manage volatility.

This strategy automates a Dollar-Cost Averaging (DCA) approach, designed to systematically buy into a falling asset. It works by placing a series of long entries as the price declines to improve your average entry cost.
You configure the following:
<ul>
 <li>Order Count: The total number of buy orders to place.</li>
 <li>Price Drop Range: The starting and ending percentage drop for your entries.</li>
</ul>
For example, you could set 10 orders to trigger at every 1% drop from the initial price, down to a total of 10%. As the price falls, the strategy executes these buys, lowering your average position cost.
For exits, the strategy uses Fibonacci ratios to set profit targets. The stop loss is triggered when a moving average crosses below the price level of your final buy order. A time-based exit is also available to close the trade after a set duration.

This strategy consists of the following elements and can all be set by the user. 
 

			
				
					
				
			
		1. Enter as the price drops. 
1) Selection of multi-time frame. 
- 30 minutes 
- 60 minutes 
- 90 minutes 
- More than 120 minutes 
2) Selection of Order Count 
 - Order Count ==  Long entry's qty 
3) Selection of First / End indent price gap 
 
It is DCA (Dollar Cost Averaging) 
- A DCA strategy is the practice of investing into a currency at preset intervals to reduce the entry price of a position over time and mitigate volatility risk. 
 
For example, 
 1) Entry Time Frame = 60 minutes 
 2) Order Count = 10 
 3) First indent price = 2 % 
     End indent price = 10 % 
 => Starting from a 1% drop in the 60 minutes candle, 
      10time Long Entry(1%, 2%, 3%, 4%, 5%, 6%, 7%, 8%, 9%, 10%) 
 
thereby getting a better average price for your position and greatly reducing risks from the consequences of volatility . 
 
2. Target Price and Stop Loss 
1) Target price : uses the Fibonacci ratio. You can also set the target ratio. 
 
2) Stop Loss : Long entry close when the moving average line cross under the End indent price. 
 
3) Close Deal time : Long entry close after a set period of time has passed since long entry. 
 
 
You can easily find out what's related by changing the setting value after setting the strategy. 
I hope it will help you. Thank you.

Leonardo Fibonacci DCA Strategy

BINANCE:XTZUSDT

The Ichimoku Masters Backtester Light is suited for traders who gravitate towards highly customizable and technical strategies. Ideal for those who appreciate precision and detail in their trading tactics, this strategy accommodates:

<ul>
 <li>Technical traders who prefer to tailor entry and exit points using a variety of indicators and settings.</li>
 <li>Swing traders aiming for medium-term timeframes, as the strategy facilitates setting stop loss and take profit orders based on specific chart formations and indicator levels.</li>
 <li>Strategic experimenters keen on backtesting and refining their approach by adjusting the wide range of available parameters and options.</li>
</ul>

This strategy requires an analytical approach to market analysis, applying core elements of the Ichimoku Kinko Hyo system to define trade setups with clearly delineated entry and exit conditions, ideal for traders who are methodical and rule-based in their decision-making process.

The Ichimoku Masters Backtester Light, given its wealth of customizable options, can be refined for manual trading on TradingView by focusing on several key aspects:

<ul>
 <li>Enhance the entry criteria by combining the Ichimoku Cloud with additional trend-confirming indicators such as the MACD to filter out weak signals. Look for MACD crossovers concurrent with Ichimoku entry signals for stronger trade confirmation.</li>
 <li>Refine the &quot;Enter Candle&quot; section by manually scrutinizing candlestick patterns like engulfing or doji at the potential entry point for added confirmation of trade direction.</li>
 <li>Include market sentiment analysis and economic indicators to time entries and exits with market mood, particularly for the currency, commodity, or asset being traded.</li>
 <li>Incorporate a discretionary risk management system based on current volatility. Adjust the percentage of equity risked and leverage used based on a volatility index or ATR (Average True Range).</li>
 <li>Optimize the Static Exit (SL &amp; TP) by using a trailing stop-loss based on a moving average, ATR, or the Chikou Span (lagging span) to let profits run during strong trends and exit during reversals.</li>
 <li>Implement a dynamic position-sizing model whereby the size of each trade varies based on the recent win/loss record or the confidence level of the trade setup, to enhance returns.</li>
 <li>Perform regular trade reviews to analyze the effectiveness of the strategy&apos;s different components, such as Ichimoku settings and exit rules, and make adjustments based on performance data.</li>
 <li>Consider diversifying across time frames to spread risk and capture different market dynamics. For example, trade shorter-term signals while managing overall risk with a longer-term Ichimoku outlook.</li>
 <li>Use correlation analysis to understand how different assets interact. This may lead to hedging strategies or avoiding overexposure to correlated assets.</li>
 <li>Create a checklist for trade entries and exits to ensure consistency in applying the strategy&apos;s rules before executing each trade.</li>
</ul>

By manual tuning of these parameters, coupled with disciplined record-keeping and a solid understanding of market context, traders can potentially improve the performance of the Ichimoku Masters Backtester Light strategy beyond its automated capacity.

This trading strategy is not provided. Without specific details or parameters from the given script, it is not possible to explain how it works in three lines.
To trade this strategy manually on TradingView, you would typically follow these steps: determine the market conditions you want to trade in (trending, range-bound, etc.), identify the specific indicators or patterns that will signal an entry or exit (like moving averages crossovers, RSI levels, Fibonacci retracements, etc.), and then establish the conditions that must be met for you to make a trade (price above a certain level, indicator reaching a certain value, etc.). Without the script&apos;s details, a precise manual equivalent cannot be provided.

<ul>
 <li>Strategy essence: Utilizes Ichimoku Kinko Hyo system for customizable entry and exit points in trading.</li>
 <li>Usage flexibility: Supports both automated backtesting and manual intervention, augmented by alerts for position opening and closing.</li>
 <li>Manual trading potential: Enhance by integrating trend-confirming indicators, candlestick analysis, and market sentiment.</li>
 <li>Optimization strategy: Combine Ichimoku settings with volatility-based risk management and dynamic position sizing.</li>
 <li>Risk management: Apply discretionary measures like volatility indexing and maintain strict trade entry and exit checklists.</li>
 <li>Target audience: Fits technical traders, particularly swing traders and those who consistently refine strategies via backtesting.</li>
 <li>Improvement through analysis: Regular trade reviews for performance evaluation and strategy adjustments.</li>
</ul>

The Ichimoku Masters Backtester Light is a versatile tool that allows customization of entry and exit strategies using various adjustable parameters. Users can define entry points and candle characteristics within the &quot;Static Enter&quot; section, while the &quot;Static Exit (SL &amp; TP)&quot; section enables setting stop loss and take profit targets. Additionally, position alerts keep traders informed. Note that advanced features are locked in this light version but can customize ichimoku elements and leverage aspects to tailor their trading approach.

The Ichimoku Masters Backtester Light is a configurable indicator allowing traders to create bespoke strategies. You will select entry points in the &quot;Static Enter&quot; Section, while the &quot;Enter Candle&quot; section refines entry conditions with 14 distinct checkboxes, like candle size and color, and Ichimoku line criteria. Positions are opened based on the chosen options, and backtesting results are displayed.

The &quot;Open Section&quot; defines entry triggers, such as simultaneous Ichimoku cloud, conversion, and base line crosses, or breaks of pre-defined Ichimoku boxes over 26 or 52 periods. The &quot;Box Section&quot; outlines how and where these boxes are set, influenced by factors like conversion and base line crosses over various timeframes.

Exit strategies are defined in the &quot;Static Exit (SL &amp; TP)&quot; section where you can select from six stop loss options and target profits based on fixed multiples or logarithmic scaling. The &quot;Multiple Enter&quot; and &quot;Multiple Exit&quot; sections allow for complex order layering and step exits based on the proportion of a box and equity percentage.

Risk-free trades can be implemented using the RF settings, adjusting stop placement to the opening candle once a box target is reached. Finally, &quot;Ichi Numbers&quot; customize Ichimoku settings, while &quot;Visual Settings&quot; enable you to visualize elements like the cloud, conversion line, and more on your chart.


                    
                        This Indicator has so many options for build your own strategy 
With this indicator you can build your own strategy using the options that we provided here 
in the "Static Enter" Section you can choose where do you want to enter your position and customize it with "Enter Candle" Section,by specifying these options, the indicator will start opening the position for you and show you the backtest. 
In the "Static Exit (SL & TP)" section you can choose where do you want to exit your positions with setting target and stop for your positions. 
And at the end you can set alert on opening and closing position and be aware of that 
We hope that you enjoy using ichimoku Masters Backtester Light 
 
-Notice : The Sections: "Dynamic Enter" , "Dynamic Exit" , "9Br Enter" , "9Br Exit" , "Pre Cross" , "Cross Enter" , "Cross Exit" , "Chiko Enter" , "Break Enter" , "Pre Switch" , "Switch Enter" , "Switch Exit" , "Ichi Elements" , "Ichi Elements Order" and "Risk Management" are limited on this version and you are not able to use them 
 
- the "Name" Argument is for naming your strategy 
 
- Open Section has 3 options : 
1 : Buy/Sell opens positions when ichimoku cloud and conversion and base line cross at the sametime 
2 : 26BoxBr opens position when candle breaks the ichimoku 26 box that indicator builds on "Box" Section 
3 : 52BoxBr opens position when candle breaks the ichimoku 52 box that indicator builds on "Box" Section 
 
- Box Section has 6 options : 
1 : Cr sets the box on conversion and base cross 
2 : OldCr sets the box on conversion and base cross with the beginning candle 
3 : PC sets the box on a cross which has no cross before until 26 candles 
4 : 9Signal Box sets the box on 9 candles of open position candle 
5 : 26Signal Box sets the box on 26 candles of open position candle 
4 : 52Signal Box sets the box on 52 candles of open position candle 
 
- Enter1% sets the percent of entry position 
- Risk% sets the percent you want to risk your equity 
- Max Leverage sets the maximum leverage you want to have on your positions 
- S2S is for staying on the position and the indicator does not open the opposite position 
 
- Enter Candle Section has 14 check boxes: 
1 : Scandle means that our open position candle should be standard 
2 : NoScandle means that our open position candle should not be standard 
3 : Tr means that our open position candle should be green for long positions and red for short positions 
4 : NoTr means that our open position candle should be red for long positions and green for short positions 
5 : G means that our open position candle should be big candle 
6 : NoG means that our open position candle should not be big candle 
7 : 9Grd means that conversion line shoud be yellow for long positions and white for short positions 
8 : No9Grd means that conversion line shoud not be yellow for long positions and white for short positions 
9 : 26Grd means that base line shoud be yellow for long positions and white for short positions 
10 : No26Grd means that base line shoud not be yellow for long positions and white for short positions 
11 : 52Grd means that Lead2 line shoud be yellow for long positions and white for short positions 
12 : No52Grd means that Lead2 line shoud not be yellow for long positions and white for short positions 
13 : InCL means that our open position candle should be in ichimoku cloud 
14 : OutCL means that our open position candle should not be in ichimoku cloud 
 
- Static Exit (SL & TP) 
- Sl Section has 6 Options: 
1 : Middle26 sets the stop loss of the position on the middle of the box 
2 : 9 Stop sets the stop loss of the position on the 9 candles box 
3 : 26 Stop sets the stop loss of the position on the 26 candles box 
4 : 52 Stop sets the stop loss of the position on the 52 candles box 
5 : 26Double box sets the stop loss of the position on the Double of 26 candles box 
6 : 52Double box sets the stop loss of the position on the Double of 52 candles box 
 
- in TP we can set our targets from 1 to 20 
- LogTp sets our target based on logarithm 
 
- Multiple Enter: 
in this section we can set our additional orders for open positions,for this you should turn on the "On" button and then set your orders base on box, for example: 
when you put 50 on Enter2 and 10 on Enter2% ,then indicator sets an order on the 50 percent of box in 10% of your equity 
 
- Multiple Exit: 
in this section you can set your step exit of order, for this you should turn on the "on" button and set your steps on box targets, for example: 
when you put 1 on Exit1 and 10 on Exit1% , then indicator exit 10 percent of your position on the target 1 of box 
 
- RF Stands for risk free and you can risk free your positions using RF ,for example : 
when you put 1 on RF and 10 on RF% ,then indicator place your stop on opening position candle when it touches the target 1 of the box and exits 10 percent of your position 
 
- Ichi Numbers : in this section you can specify your ichimoku numbers 
- C stands for Conv 
- B stands for Base 
- L stands for Lead2 
 
- Visual Setting : in this section you can choose variable that you want to see on the chart 
- Long TP/SL shows you the Long position target and stop 
- Short TP/SL shows you the Short position target and stop 
- Cloud shows you the ichimoku cloud 
- Offset shifts the ichimoku clouds on 26 candles 
- Conv shows you the conversion line  
- Base shows you the base line  
- Chiko shows you the chiko span line 
- Pre shows you the point that conv prediction line and base prediction line cross each other and lead2 prediction line and lead1 prediction line cross too at the same time 
- Cr shows you the cross point of conv and base lines 
- PC shows the cross point of conv and base lines which has no cross up to 26 candles ago 
- EqCr shows you the cross point of conv and base lines which the conv and base are equal 
- Buy_Sell shows you the point that conv line and base line cross each other and lead2 line and lead1 line cross too at the same time 
- Position Info shows you the information of position such as leverage and entry equity 
 
- Enjoy :)
                    
                
					
                        
                            Release Notes:                        
                        
                            -Alert Added

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            - Limitation note changed

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            - Some Changes added to Static Enter

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            - Some Feature Updated

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            - New Version Published 
- Version 51

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            - 26BoxBr and 52BoxBr Added

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            Indicator Limited 
Version : 57

                        
                    
				

ichimoku Masters Backtester Light

BINANCE:GALAUSDT

This strategy is primarily built for trend-following and momentum traders. Its core design, which uses Moving Average ribbons to define trend direction, makes it ideal for traders who aim to capture sustained moves rather than quick, small profits.

It is particularly well-suited for:
<ul>
 <li>Swing Traders: Who can apply it on higher timeframes (4-hour, daily) to identify and ride major trends over several days or weeks.</li>
 <li>Day Traders: Who can use it on lower timeframes (5-minute to 1-hour) to capitalize on strong intraday momentum.</li>
</ul>

Due to its simplicity and &quot;all-in-one&quot; nature, it&apos;s an excellent starting point for beginner and intermediate traders seeking a structured, rule-based approach. It is less effective for pure scalpers or traders who thrive in choppy, range-bound markets, as its strength lies in clear, directional price action.

While this strategy provides a solid mechanical foundation, your discretionary skills as a trader can significantly elevate its performance. The goal is not to second-guess every signal but to add a layer of qualitative analysis to filter for higher-probability setups. Here is a plan to integrate manual analysis:
<ul>
 <li>Market Structure Confirmation: Before taking any signal, zoom out to a higher timeframe (e.g., use the daily chart for 4-hour signals). The strategy&#x2019;s MA ribbons might signal a long entry during a minor pullback within a larger downtrend. By confirming the higher-timeframe trend, you can filter out these counter-trend signals. Only take long signals when the market structure on the higher timeframe is also bullish (making higher highs and higher lows).</li>
 <li>Support and Resistance Zones: The strategy is unaware of key price levels. Manually draw major horizontal support and resistance zones, as well as supply and demand areas, on your chart. Avoid taking a long signal if the price is directly below a major resistance level. Conversely, a long signal that forms right after bouncing off a strong support zone has a much higher probability of success.</li>
 <li>Entry Candlestick Patterns: Don&apos;t enter blindly on a signal. Look for confirmation from price action itself. A long signal is much stronger if it&#x2019;s accompanied by a bullish engulfing candle, a pin bar with a long lower wick rejecting the MA ribbon, or a strong momentum candle breaking a key level. This confirms that buyers are in control at the moment the signal appears.</li>
 <li>Dynamic Trade Management: The ATR-based exit is a good baseline, but you can manage trades more actively. If a trend is exceptionally strong, consider using the MA ribbon itself as a dynamic trailing stop-loss instead of taking profit at the initial ATR target. This allows you to capture the majority of a strong move. Likewise, if price approaches your target but shows signs of reversal (e.g., a bearish engulfing pattern), it&apos;s smart to exit manually and secure your profits.</li>
</ul>

This strategy uses Moving Average (MA) ribbons for trend direction and the Average True Range (ATR) for dynamic stop-loss and take-profit levels. It&#x2019;s a versatile tool for momentum and trend-based trading.

To get started, open the &quot;Indicators&quot; tab on TradingView, search for &quot;Best Strategy on TradingView? (Maybe)&quot;, and click to add it to your chart. Once loaded, focus on testing these core parameters:
<ul>
 <li>MA Settings: Adjust the moving average lengths. Shorter lengths are more responsive for volatile assets, while longer lengths suit steadier trends.</li>
 <li>ATR Multiplier: This directly impacts your stop-loss and take-profit distances. Test different multipliers to see how they affect performance on various symbols and timeframes.</li>
</ul>

For live execution, you can set up alerts for the &quot;Buy&quot; and &quot;Sell&quot; signals. Either trade manually when an alert triggers or automate your trading by connecting these alerts to a bot via webhooks. When trading manually, use the strategy&apos;s plotted levels for your entry, stop-loss, and take-profit.

Before going live, rigorously backtest your settings. Your primary goal is to identify the optimal risk/reward ratio for the specific asset and timeframe you intend to trade.

Here are the key takeaways for using this strategy effectively:
<ul>
 <li>Core Concept: A trend-following system combining Moving Average (MA) Ribbons to identify momentum and the Average True Range (ATR) for setting dynamic exit points.</li>
 <li>How it Works: The MA ribbons signal potential long or short entries based on the trend&apos;s direction and strength. The ATR then calculates adaptive stop-loss and take-profit levels based on current market volatility.</li>
 <li>Best For: Trend-following swing and day traders looking for a structured, rule-based approach to capture sustained market moves.</li>
 <li>How to Use: Backtest different MA and ATR settings on your chosen asset. For live trading, set up alerts for buy/sell signals to trade manually or connect them via webhooks to automate your execution.</li>
 <li>To Enhance It: Don&apos;t trade signals blindly. Improve probability by confirming the trend on a higher timeframe, avoiding entries near major support/resistance levels, and waiting for a confirmatory candlestick pattern.</li>
 <li>Better Risk Management: Use the ATR stops as your baseline. In strong trends, consider trailing your stop-loss manually along the MA ribbon to let winning trades run longer and capture more of the move.</li>
</ul>

This strategy uses a simple combination of Moving Average (MA) ribbons and the Average True Range (ATR) for momentum and trend-based trading. It&#x2019;s designed as an easy-to-understand, all-in-one package that delivers consistent results across most assets and timeframes. Its core logic is time-tested and not overfitted, while its settings offer enough flexibility to be fully customized to your personal trading style. It&#x2019;s a straightforward, powerful tool for capturing trends.

This strategy is a versatile tool for trend and momentum trading, built on a simple yet effective combination of two core indicators:
<ul>
 <li>Moving Average (MA) Ribbons: These are the engine of the strategy, used to identify the market&apos;s trend and momentum. A clean, upward-sloping ribbon suggests a strong uptrend and a potential buy signal. Conversely, a downward-sloping ribbon indicates a downtrend and a potential sell signal.</li>
 <li>Average True Range (ATR): This indicator measures volatility. The strategy uses the ATR to dynamically set exit points, such as stop-loss or take-profit levels, that adapt to the market&apos;s current choppiness.</li>
</ul>
In essence, the MA ribbons tell you when to get in, while the ATR helps you decide where to get out. The strategy is highly customizable, allowing you to fine-tune its parameters for various assets and timeframes. It also includes built-in alerts for entries and exits.


                    
                        Best is quite a broad adjective and can be interpreted in many ways.  
 
Does this strategy produce the best net profit on everything it trades compared to every other strategy? Probably not. 
 
Does this strategy have the highest profit factor compared to every other strategy? Probably not. 
 
However, in terms of all in one packages that are easy to implement and understand, while providing great results on most assets on most time frames... Is this the best strategy on TradingView? Maybe! 
 
This strategy provides enough flexibility to be completely customised to each users trading needs, while being based on strategy logic that is so broad, so time tested and not overfitted - that it can be used by everyone on anything. 
 
The strategy is fairly simple, MA ribbons, and the ATR. Seriously that's pretty much it. For momentum and trend based trading what more do you need! I've tried adding multitudes of other indicators, fundamental factors, technical tools etc. But after all that, this simple combo provides the best and most rounded results across the board. 
 
I've tried to make the UI simple and intuitive so all users can load up and go and feel like they understand everything that is happening - but if anyone has any questions please do not hesitate to ask! 
 
Also, if you find some great settings on something, share your results in the comments!  
 
Have any ideas how this can be improved? Again, just let me know! 
 
I hope you enjoy and I hope this helps with your trading & investing.
                    
                
					
                        
                            Release Notes:                        
                        
                            Updated to fix issue with break even logic.

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            Updated to add Buy & Sell Entry/Exit alerts.

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            Updated to include exits below/above baseline logic option.

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            Big update to improve... pretty much everything!

                        
                    
				

Best Strategy on TradingView? (Maybe)

This strategy is primarily designed for patient traders who have a medium to long-term outlook, rather than high-frequency scalpers or day traders. It is an excellent fit for:
<ul>
<li>Swing Traders: Those looking to systematically enter positions on pullbacks and hold for several days or weeks to capture a larger market swing.</li>
<li>Position Traders and &quot;Smart&quot; Investors: Individuals who want to accumulate an asset over time but with more precision than standard dollar-cost averaging (DCA), using technical signals to time their buys.</li>
</ul>
The trading style is a blend of mean-reversion and accumulation. It requires the discipline to wait for specific oversold conditions and the temperament to potentially average down into a position. This approach is built for capturing more significant price movements, making it ideal for those who prefer a structured, rule-based method over constant market monitoring.

The Intelligent Accumulator&apos;s core concept is strong: use TA to time your buys instead of blindly accumulating. However, its default reliance on a single indicator (RSI/BB) can generate false signals in trending markets. As a manual trader, your edge is adding layers of confirmation that a script cannot easily replicate. Here is a plan to significantly enhance its performance.
Refine Your Entry Triggers
<ul>
<li>Add a Trend Filter: The base strategy will buy dips even in a strong bear market. Filter these signals by adding a 200-period Exponential Moving Average (EMA) to your chart. Only consider taking long entries when the price is trading above the 200 EMA. This keeps you aligned with the dominant market trend and avoids trying to catch a falling knife.</li>
<li>Demand Confluence: Don&apos;t take every RSI dip signal. Prioritize signals that occur at pre-defined areas of support. Look for the RSI to cross below the lower band only when the price is testing a horizontal support level, a major Fibonacci retracement, or bouncing off a key moving average. An entry signal at a strong support zone is far more reliable.</li>
<li>Hunt for Divergence: Instead of a simple oversold signal, look for classic bullish divergence. This occurs when the price makes a new low, but the RSI indicator makes a higher low. This signals weakening downward momentum and is a far more powerful entry trigger for a potential reversal.</li>
</ul>
Optimize Your Exit Strategy
<ul>
<li>Use Structural Targets: The RSI-based exit can cut winning trades short in a strong trend. Before entering, identify the next major resistance level above your entry and set it as your primary profit target. Consider taking partial profits (e.g., 50%) at this level to secure gains while leaving the rest of the position open.</li>
<li>Let Winners Run with a Trailing Stop: After taking partial profits, move your stop-loss to breakeven. To capture more upside, use a trailing stop instead of waiting for an RSI exit signal. A simple method is to trail your stop below the low of the previous two candles or use a 1.5x ATR trailing stop to give the trade room to breathe while protecting profits.</li>
</ul>

This trading strategy is a mean-reversion system that buys when an asset is considered oversold and sells when it becomes overbought. It uses a custom version of Bollinger Bands applied directly to the RSI indicator, not the price. The strategy accumulates positions by buying on multiple oversold signals to average down the entry price.
To trade this strategy manually :
<ul>
<li>Indicators and Setup:
<ol>
<li>Add the Relative Strength Index (RSI) to your chart with a &apos;Length&apos; of 7.</li>
<li>Add the Bollinger Bands (BB) indicator to your chart. In the BB settings, change the &apos;Source&apos; from &apos;close&apos; to &apos;RSI&apos;.</li>
<li>Set the Bollinger Bands &apos;Length&apos; to 14 and the &apos;StdDev&apos; (Standard Deviation) to 1.</li>
</ol>
</li>
<li>Entry Condition (Long):
<ul>
<li>Enter a long position when the RSI line (with length 7) crosses below the lower Bollinger Band.</li>
<li>You can add to your position (pyramid) on subsequent entry signals, but only if the current price is below your average entry price.</li>
</ul>
</li>
<li>Exit Condition (Long):
<ul>
<li>Close your entire position when the RSI line crosses above the upper Bollinger Band, provided your position is in profit.</li>
</ul>
</li>
</ul>

Here are the key takeaways for the TTP Intelligent Accumulator strategy:
<ul>
<li>What it is: A hybrid strategy that improves on simple recurring buys by using technical analysis to time entries for asset accumulation, making it a &quot;smarter&quot; dollar-cost averaging method.</li>
<li>How it works: By default, it enters a long position when the RSI (7) crosses below its lower Bollinger Band (14, 1 StdDev) and exits when the RSI crosses above the upper band.</li>
<li>How to use it: The script can be fully automated in TradingView, used to generate alerts for manual confirmation, or replicated entirely by hand for discretionary trading.</li>
<li>To optimize it: Enhance entries by adding a trend filter (like a 200 EMA), confirming signals at support levels, and looking for bullish divergence. Use structural resistance for profit targets instead of the RSI exit.</li>
<li>To manage risk: Define your total position size and the number of entries (pyramiding) beforehand. After taking partial profits at resistance, move your stop-loss to breakeven and use a trailing stop to let winners run.</li>
</ul>

This strategy blends recurring buys with technical analysis. Instead of buying at fixed intervals, it adds to your position only when specific TA conditions are met, like an RSI crossing a Bollinger Band. This &quot;intelligent&quot; approach aims to filter out poor entries. Customize it to average down into losing positions, set partial take-profits, and define your own TA signals for entries and exits. It&apos;s a smarter way to accumulate assets.

The Intelligent Accumulator is a hybrid strategy that improves upon simple recurring buys by using technical analysis to time entries and exits. Instead of buying at fixed intervals regardless of price, it accumulates a position only when specific TA conditions are met.
Here&#x2019;s how it operates by default:
<ul>
<li>Entry: It adds to your position when the RSI (7) drops below its lower Bollinger Band, signaling a potential oversold opportunity. You can configure it to only add funds when the position is at a loss, effectively averaging down your cost basis.</li>
<li>Exit: It begins to exit the position when the RSI crosses above its upper Bollinger Band, indicating an overbought condition. You can set it to take all profits at once or distribute the exit across multiple orders.</li>
</ul>
The strategy is designed to be flexible, allowing you to replace the default RSI/BB conditions with your own external entry and exit signals.


                    
                        The intelligent accumulator is a proof of concept strategy. A hybrid between a recurring buy and TA-based entries and exits. 
 
Distribute the amount of equity and add to your position as long as the TA condition is valid.  
 
Use the exit TA condition to define your exit strategy.  
 
Decide between adding only into losing positions to average down or take a riskier approach by allowing to add into a winning position as well. 
 
Take full profit or distribute your exit into multiple take profit exists of the same size. 
 
You can also decide if you allow your exit conditions to close your position in a loss or require a minimum take profit %. 
 
The strategy includes a default built-in TA conditions just for showcasing the idea but the final intent of this script is to delegate the TA entries and exists to external sources. 
 
The internal conditions use RSI length 7 crossing below the BB with std 1 for entries and above for exits. 
 
To control the number of orders use the properties from settings:  
- adjust the pyramiding  
- adjust the percentage of equity 
- make sure that pyramiding * % equity equals 100 to prevent over use of equity (unless using leverage) 
 
The script is designed as an alternative to daily or weekly recurring buys but depending on the accuracy of your TA conditions it might prove profitable also in lower timeframes. 
 
The reason the script is named Intelligent is because recurring buy is most commonly used without any decision making: buy no matter what with certain frequency. This strategy seeks to still perform recurring buys but filtering out some of the potential bad entries that can delay unnecessarily seeing the position in profits. The second reason is also securing an exit strategy from the beginning which no recurring buy option offers out-of-the-box. 
                    
                
					
                        
                            Release Notes:                        
                        
                            - Solved bug with add only in profit (now the option is in the reverse order "add only when in a loss") 
- Added time window for backtesting independently bear and bull markets. 
- Avg position price line now is hidden if there's no position currently open.  
 
I'm tempted to test this using a signal bot directly. Let me know in the comments if you have already and if you experienced any issues. 
 
Enjoy 🦜

                        
                    
				
					
                        
                            Release Notes:                        
                        
                            - Fixed bug: taking partial profits was never able to close the full position. Now when the left over is below the min tick we "force close" all the remaining position.

                        
                    
				

TTP Intelligent Accumulator

BINANCE:LDOUSDT

The [D] Dudu 95 Strategy Template ver.1.1 is well-suited for traders who prefer a technical, rules-based approach to the market, leveraging a blend of volatility, trend, and momentum indicators. This strategy aligns with traders who are:
<ul>
 <li>Comfortable with applying a mix of technical analysis tools such as EMA, ADX, DMI, and Super Trend.</li>
 <li>Adaptable to both trending and range-bound market conditions due to the inclusion of multiple filters which can be toggled on or off.</li>
 <li>Looking for a systematic way to manage risk and reward, utilizing flexible stop loss types and risk management parameters.</li>
</ul>
It is ideal for a discretionary trading style, allowing customization for individual risk tolerance and market views, and for day traders and swing traders due to the adjustable nature of its take profit and stop loss settings.

To enhance the [D] Dudu 95 Strategy Template ver.1.1 through manual trading, it&apos;s crucial to fine-tune the strategy&apos;s components based on comprehensive market analysis and individual trade performance. The following plan outlines focused improvements:
<ul>
 <li>Analyze the efficiency of each filter (ATR, EMA, ADX, DMI, and Super Trend) by reviewing past trade data to identify which filters contribute most to profitable trades and reduce false signals. Adjust filter parameters to better suit current market conditions and volatility.</li>

 <li>Review the stop loss settings with an emphasis on market structure rather than fixed percentages or ATR values. Incorporate elements of support/resistance, swing highs/lows, and volatility expansions for a more dynamic approach to stop loss placement.</li>

 <li>Refine take profit strategies by studying the average winning trade duration and optimize the risk-reward ratio accordingly. Employ multiple take profit levels to capture profits progressively, enhancing the capture of trends while securing gains.</li>

 <li>Improve risk management by tailoring the percentage risk per trade according to the confidence level of each setup. This involves scaling into positions with incremental increases in trade size for setups showing higher conviction and alignment with long-term trends.</li>

 <li>Anchor trade entries and exits to patterns of price action and volume. Enhance entries by waiting for confirmatory price action signals like bullish engulfing or pin bars in long setups and the equivalent bearish patterns for short setups. Confirm exits using volume spikes, which often precede market reversals.</li>

 <li>Add a qualitative layer by incorporating fundamental analysis or broader market sentiment indicators, adjusting trading biases to align with the prevalent market narrative.</li>

 <li>Invest time in backtesting modifications rigorously with a specific focus on drawdown periods to understand the behavior of the new settings under stress.</li>

 <li>Continuously monitor leading economic indicators and central bank announcements to adapt the strategy accordingly, particularly during times of increased market sensitivity to news events.</li>

 <li>Document all trades meticulously, creating a feedback loop to identify patterns that lead to success or failure, refining the strategy iteratively.</li>
</ul>
Lastly, regularly scheduled strategy reviews will ensure that the manual trading adjustments remain relevant and effective in an evolving market landscape.

This trading strategy utilizes a basket of configurable technical analysis filters in conjunction with a simple moving average crossover system to determine entry and exit points. The strategy can operate in both long and short directions and includes features like time-based parameters, indicators such as ATR, EMA, ADX/DMI, and SuperTrend, as well as stop loss and take profit settings.
To trade this strategy manually on TradingView:
<ul>
 <li>Determine the date range for the trade using the &quot;Date Range&quot; filter available in the chart properties.</li>
 <li>For directional trades, use the &quot;Long Position&quot; and &quot;Short Position&quot; checkboxes to activate trade directions.</li>
 <li>Set up the filters:</li>
 <ul>
 <li>ATR Filter: Compare the current ATR value with its Simple Moving Average (SMA) over a certain period to confirm a trade.</li>
 <li>EMA Filter: Confirm the trade if the closing price is above/below a specific Exponential Moving Average (EMA).</li>
 <li>ADX and DMI Filters: Confirm trades based on ADX value being greater than a threshold, and for the DMI filter, either DI+ or DI- should be dominant.</li>
 <li>SuperTrend Filter: Allow trades based on the SuperTrend indicator direction.</li>
 </ul>
 <li>Implement the core strategy logic using simple moving average crossovers:</li>
 <ul>
 <li>Calculate two SMAs with different lengths.</li>
 <li>Initiate a long trade when the price crosses over the fast SMA and a short trade when it crosses under.</li>
 <li>Exit a long trade on SMA crossunder and a short trade on SMA crossover.</li>
 </ul>
 <li>Manage positions with a predetermined stop loss (SL) and take profit (TP). The SL and TP can be set as a percentage, based on ATR, or from previous swing highs/lows. Optionally, a trailing stop loss can also be used.</li>
 <li>Use the chart&apos;s drawing tool to plot the entry price, SL, and TP lines for clarity.</li>
</ul>

<ul>
 <li>Strategy Nature: Utilizes a combination of EMA, ADX, DMI, and Super Trend filters for signal generation, catering to technical analysis enthusiasts.</li>

 <li>How It Works: Enables long and short trades within specified time frames, applying chosen filters to validate entry points with simple moving average crossovers dictating the core logic.</li>

 <li>Using the Strategy: Can be automated within TradingView, fine-tuned with alerts for key signals, or traded manually, capitalizing on the discretionary aspect for experienced traders.</li>

 <li>Optimization: Analyze filter contribution to profit, adjust SL based on market structure and TP based on trade duration, and manage position sizes dynamically for optimal performance.</li>

 <li>Risk Management: Customize risk levels per trade with scalable position sizes and refine SL and TP settings according to market volatility and personal risk appetite.</li>

 <li>Trader Fit: Suitable for discretionary day and swing traders looking for a flexible strategy that can be molded to fit different market conditions and individual trading styles.</li>
</ul>

The Dudu 95 Strategy Template ver.1.1 offers customizable technical filters including EMA, ADX, and DMI, with options to activate or deactivate them. It features flexible stop-loss settings based on percentage, ATR, or swing points, and a risk-reward ratio-driven take profit system. The strategy emphasizes risk management by controlling trade quantity based on user-defined risk per trade. Aesthetic updates include color-coded labels for entries/exits and added Super Trend Filter visualization in the latest release.

The [D] Dudu 95 Strategy Template ver.1.1 integrates a compilation of strategies by jason5480, kevinmck100, and myncrypto, enhanced by filter conditions like EMA, ADX, and DMI to identify trade opportunities. The user can decide whether or not to employ filters and choose their type, with ATR, EMA, ADX, DMI, and Super Trend available options.
<ul>
<li>Stop loss can be set by percentage, ATR value, or the previous low/high, customized to the trader&apos;s preference.</li>
<li>Take profit is established using a user-defined risk-reward ratio, simplifying the backtesting process. The trader sets the percentage of equity to close at take profit.</li>
<li>Risk management logic is optional, influencing the trade&apos;s entry size based on the risk percentage a trader is willing to take per trade.</li>
<li>Entry and exit signals are labeled with customized colors for increased visibility, and the addition of Super Trend Filter provides an extra layer of analysis.</li>
</ul>
The strategy allows for adjustments and customization in both stop loss and take profit conditions, as well as in risk management, to suit various trading styles and risk tolerance levels.


                    
                        Hello Guys! Nice to meet you all! 
This is my Second script after changing My Profile Name!  
I updated my strategy template before - I added some filter conditions (EMA, ADX, DMI). 
If there's something to update, I will update this script! 
Thank you! 
 
----- 
I made this based on the open source strategies by jason5480, kevinmck100, myncrypto.  
Thank you All! 
 
### Filter 
1. Can Choose whether to use filter. 
2. Filters Based on ATR, EMA, ADX, and DMI are ready to use. 
 
### StopLoss 
1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High. 
2. Can Chosse inputs of each Stop Loss Type. 
 
### Take Profit 
1. Can set Risk Reward Ratio for Take Profit. 
- To simplify backtest, I erased all other options except RR Ratio. 
- You can add Take Profit Logic by adding options in the code. 
2. Can set Take Profit Quantity. 
 
### Risk Manangement 
1. Can choose whether to use Risk Manangement Logic. 
- This controls the Quantity of the Entry. 
- e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price, 
then 50% of your equity will be used for trade. 
2. Can choose How much risk you would take per trade. 
 
 
### Plot 
1. Added Labels to check the data of entry / exit positions. 
2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313)
                    
                
					
                        
                            Release Notes:                        
                        
                            1. Added Super Trend Filter (+Plot) 
2. Changed the location of "DMI Filter On?" next to "ADX Filter On?" because these two filters share the value of ADX Length.

                        
                    
				

[D] Dudu 95 Strategy Template ver.1.1.

BINANCE:SHIBUSDT

This strategy is designed for traders who prefer a systematic, technical approach to the markets, blending both trend-following and swing trading styles. It&apos;s particularly suitable for:
<ul>
 <li>Trend-Following Traders: Who capitalize on capturing large portions of market moves by following the prevailing trend indicated by SMA crossovers.</li>
 <li>Swing Traders: Looking to profit from price fluctuations within a primary trend, using the crossover as a signal for market entries and exits.</li>
 <li>Traders with a Quantitative Bend: Who appreciate the clear rules-based entry and exit criteria, bolstered by additional technical filters such as ATR and moving averages to fine-tune their strategies.</li>
 <li>Risk-Averse Traders: Who require structured risk management through stop-loss, take-profit settings, and the ability to quantify risk via percentage of equity and ATR measurements.</li>
</ul>
This strategy is less advised for purely discretionary traders or those who rely heavily on fundamental analysis.

To enhance the [fpemehd] Strategy Template in a manual trading context, certain refinements can be implemented to improve decision making, risk management, and potential profitability. Here is a concise plan outlining key areas of strategy improvement:
<ul>
 <li>
 Market Context: Factor in overall market trends and economic indicators to the existing SMA crossover signals to filter out false positives. Basically, trade in the direction of the primary trend only.
 </li>
 <li>
 Entry Confirmation: Introduce additional indicators such as RSI or MACD to confirm entry signals from the SMA crossover. Only enter trades when both the SMA crossover and confirmation indicators align.
 </li>
 <li>
 Dynamic Position Sizing: Adjust the position size based on the volatility, calculated using ATR. This means taking smaller positions in more volatile markets and vice versa, maintaining a constant risk profile.
 </li>
 <li>
 Customized Stop-Loss: Tailor stop-loss orders not just based on ATR but also incorporate support and resistance levels to optimize exit points.
 </li>
 <li>
 Manual Trailing Stops: Actively manage trailing stops depending on market conditions and momentum shifts indicated by leading indicators such as stochastic or CCI (Commodity Channel Index).
 </li>
 <li>
 Take-Profit Strategies: Instead of flat risk-reward ratios, use a tiered take-profit approach where partial profits can be taken at different levels to capture more profit while letting the remainder of the position run.
 </li>
 <li>
 End-of-Day Review: Conduct an end-of-day analysis to assess the performance of the strategy and make tweaks to the trade plan for the following day based on what worked well and what did not.
 </li>
 <li>
 Journaling: Keep a detailed trading journal noting emotions, market observations, and reasons for entry and exit which can be invaluable for iterative strategy refinement.
 </li>
</ul>
By infusing the automated strategy with these manual trading improvements, traders can leverage their cognitive and analytical strengths for better decision making while still capitalizing on the systematic elements of the [fpemehd] Strategy Template.

This trading strategy leverages a Simple Moving Average (SMA) crossover system, operating on two SMAs of different lengths. A buy signal is generated when a &quot;fast&quot; SMA crosses above a &quot;slow&quot; SMA, and conversely, a sell signal when the fast SMA crosses below the slow SMA. This strategy is enhanced by a time filter, an ATR-based volatility filter, stop-loss, and take-profit settings.
To trade this strategy manually on TradingView:
<ul>
 <li>Determine your &quot;fast&quot; SMA (Short-term moving average, e.g., 21 periods) and &quot;slow&quot; SMA (Long-term moving average, e.g., 49 periods).</li>
 <li>Add these two SMAs to your chart.</li>
 <li>Enter a long position when the fast SMA crosses above the slow SMA and a short position when the fast SMA crosses below.</li>
 <li>Use the ATR (Average True Range) as a volatility filter if desired, taking positions only when the current ATR is above its own SMA over a certain period.</li>
 <li>Set up a stop-loss and a take-profit level based on a multiple of the ATR (e.g., 3x ATR for stop-loss) or a set percentage of the price.</li>
 <li>Consider using trailing stop-losses to protect gains or a break-even strategy after hitting a certain profit threshold.</li>
 <li>Close positions when the opposite signal occurs (i.e., for long positions, close when the fast SMA crosses below the slow SMA).</li>
</ul>

<ul>
 <li>Strategy Core: Utilizes SMA crossovers to distinguish bullish from bearish market conditions, signaling entry and exit opportunities.</li>
 <li>Filter Usage: Employs an ATR-based filter for market volatility to validate the strength of trading signals.</li>
 <li>Trading Style: Suitable for technical, systematic traders, particularly trend-followers and swing traders who prefer a technical and quantitative approach.</li>
 <li>Automation: Can be automated in TradingView to execute trades based on preset conditions, reducing the need for constant market monitoring.</li>
 <li>Manual Intervention: Though automation is possible, traders can manually refine entries and exits using additional confirmatory indicators and market analysis.</li>
 <li>Risk Management: Encourages disciplined risk management through adjustable stop-loss and take-profit parameters based on equity percentage and ATR.</li>
 <li>Strategy Optimization: Can be enhanced by dynamic position sizing, tailored stop-loss levels, trailing stops, and tiered take-profits.</li>
</ul>

The [fpemehd] Strategy Template provides a customizable foundation for traders to develop their personalized strategy. It integrates flexible stop loss options (Percent, ATR, Previous Low/High) with adjustable inputs, and simplified risk-reward ratio-based take profit settings. Additionally, it includes an optional risk management feature to control entry quantity and individual trade risk level. Visual back-testing aids are enhanced with labeled entry/exit data points and distinct color coding for clear analysis.

The [fpemehd] Strategy Template is a custom TradingView strategy for traders looking to build and test their own trading systems. It leverages various stop loss methods &#x2014; you can choose between a percentage-based stop loss, an Average True Range (ATR) based stop loss, or stop losses based on the previous high or low. Each type allows for adjustable parameters to suit one&apos;s trading style.

Take profit levels can be established using a specified Risk-Reward (RR) ratio, with the ability to set the percentage of the position to be closed upon reaching the take profit target.

Risk Management is a feature allowing traders to control their entry quantity based on the desired risk percentage per trade. For example, if you&apos;re willing to risk 3% of your equity on a trade where your stop loss is set to trigger a 6% loss from entry, then the strategy will utilize 50% of your equity for that trade.

The strategy employs labels to plot entry and exit points and has customized visuals with different colors for better clarity &#x2014; green (#02732A) for bullish signs, red (#D92332) for bearish, and yellow (#F2E313) for neutral indicators.

Hello Guys! Nice to meet you all! 
This is my fourth script! 
This is the Strategy Template for traders who wants to make their own strategy. 
I made this based on the open source strategies by jason5480, kevinmck100, myncrypto. Thank you All! 
 
### StopLoss 
1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High. 
2. Can Chosse inputs of each Stop Loss Type. 
 
### Take Profit 
1. Can set Risk Reward Ratio for Take Profit. 
- To simplify backtest, I erased all other options except RR Ratio. 
- You can add Take Profit Logic by adding options in the code. 
2. Can set Take Profit Quantity. 
 
### Risk Manangement 
1. Can choose whether to use Risk Manangement Logic. 
- This controls the Quantity of the Entry. 
- e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price,  
       then 50% of your equity will be used for trade. 
2. Can choose How much risk you would take per trade.  
 
### Plot 
1. Added Labels to check the data of entry / exit positions. 
2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313) 


[fpemehd] Strategy Template

This strategy is tailored for traders who are:

<ul>
 <li>Trend Followers: Those who prefer to capitalize on established market movements, seeking to enter trades during Stage 2 uptrends and Stage 4 downtrends.</li>
 <li>Momentum Traders: Individuals looking to exploit the strength of price movements, utilizing the Momentum RSI to gauge trend power.</li>
 <li>Intermediate to Advanced Traders: Traders with a good grasp of technical analysis indicators like EMA crossovers, ATR, and SuperTrend. Familiarity with market cycle theories can enhance the strategic application.</li>
 <li>Technical Analysts: Those who rely on chart patterns and indicators rather than fundamental analysis for trading decisions.</li>
</ul>

It suits a trading style focused on:

<ul>
 <li>Medium to Long-Term Positions: Allowing the capture of significant trends over weeks or months.</li>
 <li>Disciplined Risk Management: Employs dynamic or static stop-loss and take-profit levels to secure trades.</li>
</ul>

To enhance the trading performance of the Flash-Strategy with Minervini Stage Analysis Qualifier when applied manually, consider incorporating these improvement steps:

<ul>
 <li>Refine Entry Criteria: While the strategy primarily uses EMA crossovers, Momentum RSI, and SuperTrend, manually refining entry points can help. Monitor additional technical indicators like MACD or Stochastic to confirm trend strength and reversals. Look for confluence among signals for higher probability trades.</li>

 <li>Include Volume Analysis: Integrate volume indicators to validate breakouts and trends. Using volume-weighted indicators can provide insights into the strength of uptrends and downtrends. For instance, significant price movement accompanied by high volume typically signals a stronger trend.</li>

 <li>Adjust Timeframes: Assess different timeframes for more accurate entry and exit points. Shorter timeframes can provide precision for entry during volatile market conditions, while longer timeframes can offer a clearer view of macro trends. Use higher timeframes to confirm the general trend and shorter ones for precise execution.</li>

 <li>Dynamic Position Sizing: Implement position sizing based on the ATR to accommodate volatility. Adjust trade size in relation to the Stop-Loss distance as measured via ATR. This approach helps manage risk and provides flexibility in varying market conditions.</li>

 <li>Combining with Support and Resistance Levels: Recognize key support and resistance zones to identify potential trade reversals or continuations. Aligning trades near these levels can enhance the probability of success and refine entry/exit points.</li>

 <li>Optimize Stop-Loss and Take-Profit Levels: Use custom backtesting to tweak stop-loss and take-profit percentages on historical data, optimizing them for current volatility patterns. Customizing these levels can prevent premature exits in trades and maximize profit potential by capturing large trend moves.</li>

 <li>Manage Trader Psychology: Acknowledge and mitigate biases during manual execution. Ensure disciplined adherence to the trading plan by setting predefined rules and sticking to them, regardless of market influences or emotions.</li>

 <li>Frequent Review and Adaptation: Continuously review past trades to identify strengths and shortcomings. Use this reflection to iterate and refine the strategy components. Stay updated on market shifts that may require strategy adaptations, ensuring alignment with current dynamics.</li>
</ul>

This trading strategy uses a combination of a Momentum RSI, SuperTrend, and EMA crossovers to determine entry and exit points. Trades are executed when specific conditions involving EMA alignments and Momentum RSI thresholds are met, with SuperTrend levels acting as dynamic stop-loss points.

To trade this strategy manually:

1. Indicators Required:
<ul>
 <li>Momentum RSI: Calculate RSI on a 10-period momentum. Use this to assess the trend&apos;s strength. Enter trades when RSI &gt; 60.</li>
 <li>SuperTrend: Use a 10-period ATR and factor of 3. This determines the general trend direction and acts as a stop-loss line.</li>
 <li>EMA Indicators: Plot EMAs for periods of 12, 50, 150, and 200. Entry conditions depend on specific EMA alignments.</li>
</ul>
2. Entry Conditions:
<ul>
 <li>Long Entry: Enter a long trade if the price is above the EMA 150, and EMA 50 &gt; EMA 150 &gt; EMA 200, alongside a &apos;buy&apos; signal (Momentum RSI &gt; 60, SuperTrend direction &lt; 0).</li>
 <li>Short Entry: Enter a short trade if the price is below EMA 150, and EMA 50 &lt; EMA 150 &lt; EMA 200, with a &apos;sell&apos; signal (Momentum RSI &gt; 60, SuperTrend direction &gt; 0).</li>
</ul>
3. Exit Conditions:
<ul>
 <li>Dynamic Exit: Exit long trades when the price falls below the SuperTrend. Short trades are exited when the price rises above the SuperTrend.</li>
 <li>Static Exit: (Optional) Use static stop-loss and take-profit levels at 5% and 10% respectively, calculated from the entry price.</li>
</ul>
4. Time-Based Filter:
<ul>
 <li>Only execute trades between specific start and end timestamps configured according to your trading needs.</li>
</ul>

<ul>
 <li>Strategy Overview: The Flash-Strategy targets Stage 2 uptrends and Stage 4 downtrends using Momentum RSI, EMA crossovers, and SuperTrend for entry and exit points.</li>
 <li>How It Works: It identifies trade opportunities based on specific criteria, employing moving averages and momentum indicators to align with prevailing market trends.</li>
 <li>Trader Suitability: Best for trend-followers and momentum traders with intermediate to advanced skills, focusing on technical and chart analysis.</li>
 <li>Usage Method: Use as an automated strategy on TradingView or combine TradingView alerts with manual trading analysis for precision.</li>
 <li>Optimizing Strategy: Refine entry points with additional indicators like MACD, integrate volume analysis, and adjust timeframes for more accuracy.</li>
 <li>Risk Management: Leverage ATR for dynamic position sizing, and optimize stop-loss and take-profit levels through backtesting for current market conditions.</li>
 <li>Enhancing Trades: Verify signals with support and resistance zones to improve entry/exit accuracy and leverage confluence for higher probability setups.</li>
 <li>Trader Psychology: Stick to predefined rules to mitigate emotional biases and maintain disciplined trading execution.</li>
</ul>

The Flash-Strategy with Minervini Stage Analysis Qualifier blends market cycle theory with technical indicators. It generates long signals in Stage 2 uptrends using Momentum-RSI, EMA crossover, and ATR, while Stage 4 downtrends prompt short signals. This strategy leverages specific trends for precise trade entries, enhancing profitability by focusing on well-defined market stages.

The Flash-Strategy combines a set of robust indicators to identify key market trends and enhance trading precision. It leverages:
<ul>
 <li>Momentum-RSI: Calculates the RSI value of momentum, helping traders gauge the strength of a trend. Long or short signals are generated when RSI-Momentum surpasses a set threshold.</li>
 <li>EMA-Crossover: Utilizes exponential moving averages (EMA) crossovers for trend identification. The strategy considers EMA50, EMA150, and EMA200 setups: long trades signal when prices sit above all three EMAs with EMA50 leading, while short trades trigger under reverse conditions.</li>
 <li>ATR-based SuperTrend: Determines stop levels dynamically with the average true range (ATR), marking entry and exit points based on market volatility. This indicator assists in setting trailing stops to manage risks effectively.</li>
</ul>
The strategy focuses on Stage 2 and Stage 4 market cycles for entering long and short positions, respectively. This alignment with market stages aims to capture the momentum inherent in these trends, maximizing potential profitability by avoiding less predictable market phases.

The Flash-Strategy (Momentum-RSI, EMA-crossover, ATR) with Minervini Stage Analysis Qualifier 
 
Introduction 
 
Welcome to a comprehensive guide on a cutting-edge trading strategy I've developed, designed for the modern trader seeking an edge in today's dynamic markets. This strategy, which I've honed through my years of experience in the trading arena, stands out for its unique blend of technical analysis and market intuition, tailored specifically for use on the TradingView platform. 
 
As a trader with a deep passion for the financial markets, my journey began several years ago, driven by a relentless pursuit of a trading methodology that is both effective and adaptable. My background in trading spans various market conditions and asset classes, providing me with a rich tapestry of experiences from which to draw. This strategy is the culmination of that journey, embodying the lessons learned and insights gained along the way. 
The cornerstone of this strategy lies in its ability to generate precise long signals in a Stage 2 uptrend and equally accurate short signals in a Stage 4 downtrend. This approach is rooted in the principles of trend following and momentum trading, harnessing the power of key indicators such as the Momentum-RSI, EMA Crossover, and Average True Range (ATR). What sets this strategy apart is its meticulous design, which allows it to adapt to the ever-changing market conditions, providing traders with a robust tool for navigating both bullish and bearish scenarios. 
 
This strategy was born out of a desire to create a trading system that is not only highly effective in identifying potential trade setups but also straightforward enough to be implemented by traders of varying skill levels. It's a reflection of my belief that successful trading hinges on clarity, precision, and disciplined execution. Whether you are a seasoned trader or just beginning your journey, this guide aims to provide you with a comprehensive understanding of how to harness the full potential of this strategy in your trading endeavors. 
In the following sections, we will delve deeper into the mechanics of the strategy, its implementation, and how to make the most out of its features. Join me as we explore the nuances of a strategy that is designed to elevate your trading to the next level. 
 
Stage-Specific Signal Generation 
 
A distinctive feature of this trading strategy is its focus on generating long signals exclusively during Stage 2 uptrends and short signals during Stage 4 downtrends. This approach is based on the widely recognized market cycle theory, which divides the market into four stages: Stage 1 (accumulation), Stage 2 (uptrend), Stage 3 (distribution), and Stage 4 (downtrend). By aligning the signal generation with these specific stages, the strategy aims to capitalize on the most dynamic and clear-cut market movements, thereby enhancing the potential for profitable trades. 
 
1.	Long Signals in Stage 2 Uptrends 
 
•	Characteristics of Stage 2: Stage 2 is characterized by a strong uptrend, where prices are consistently rising. This stage typically follows a period of accumulation (Stage 1) and is marked by increased investor interest and bullish sentiment in the market. 
•	Criteria for Long Signal Generation: Long signals are generated during this stage when the technical indicators align with the characteristics of a Stage 2 uptrend.  
•	Rationale for Stage-Specific Signals: By focusing on Stage 2 for long trades, the strategy seeks to enter positions during the phase of strong upward momentum, thus riding the wave of rising prices and investor optimism. This stage-specific approach minimizes exposure to less predictable market phases, like the consolidation in Stage 1 or the indecision in Stage 3. 
 
2.	Short Signals in Stage 4 Downtrends 
 
•	Characteristics of Stage 4: Stage 4 is identified by a pronounced downtrend, with declining prices indicating prevailing bearish sentiment. This stage typically follows the distribution phase (Stage 3) and is characterized by increasing selling pressure. 
•	Criteria for Short Signal Generation: Short signals are generated in this stage when the indicators reflect a strong bearish trend.  
•	Rationale for Stage-Specific Signals: Targeting Stage 4 for shorting capitalizes on the market's downward momentum. This tactic aligns with the natural market cycle, allowing traders to exploit the downward price movements effectively. By doing so, the strategy avoids the potential pitfalls of shorting during the early or late stages of the market cycle, where trends are less defined and more susceptible to reversals. 
 
In conclusion, the strategy’s emphasis on stage-specific signal generation is a testament to its sophisticated understanding of market dynamics. By tailoring the long and short signals to Stages 2 and 4, respectively, it leverages the most compelling phases of the market cycle, offering traders a clear and structured approach to aligning their trades with dominant market trends. 
 
Strategy Overview 
 
At the heart of this trading strategy is a philosophy centered around capturing market momentum and trend efficiency. The core objective is to identify and capitalize on clear uptrends and downtrends, thereby allowing traders to position themselves in sync with the market's prevailing direction. This approach is grounded in the belief that aligning trades with these dominant market forces can lead to more consistent and profitable outcomes. 
The strategy is built on three foundational components, each playing a critical role in the decision-making process: 
 
1.	Momentum-RSI (Relative Strength Index): The Momentum-RSI is a pivotal element of this strategy. It's an enhanced version of the traditional RSI, fine-tuned to better capture the strength and velocity of market trends. By measuring the speed and change of price movements, the Momentum-RSI provides invaluable insights into whether a market is potentially overbought or oversold, suggesting possible entry and exit points. This indicator is especially effective in filtering out noise and focusing on substantial market moves. 
2.	EMA (Exponential Moving Average) Crossover: The EMA Crossover is a crucial component for trend identification. This strategy employs two EMAs with different timeframes to determine the market trend. When the shorter-term EMA crosses above the longer-term EMA, it signals an emerging uptrend, suggesting a potential long entry. Conversely, a crossover below indicates a possible downtrend, hinting at a short entry opportunity. This simple yet powerful tool is key in confirming trend directions and timing market entries. 
3.	ATR (Average True Range): The ATR is instrumental in assessing market volatility. This indicator helps in understanding the average range of price movements over a given period, thus providing a sense of how much a market might move on a typical day. In this strategy, the ATR is used to adjust stop-loss levels and to gauge the potential risk and reward of trades. It allows for more informed decisions by aligning trade management techniques with the current volatility conditions. 
 
The synergy of these three components – the Momentum-RSI, EMA Crossover, and ATR – creates a robust framework for this trading strategy. By combining momentum analysis, trend identification, and volatility assessment, the strategy offers a comprehensive approach to navigating the markets. Whether it's capturing a strong trend in its early stages or identifying a potential reversal, this strategy aims to provide traders with the tools and insights needed to make well-informed, strategically sound trading decisions. 
 
Detailed Component Analysis 
 
The efficacy of this trading strategy hinges on the synergistic functioning of its three key components: the Momentum-RSI, EMA Crossover, and Average True Range (ATR). Each component brings a unique perspective to the strategy, contributing to a well-rounded approach to market analysis. 
 
1.	Momentum-RSI (Relative Strength Index) 
 
•	Definition and Function: The Momentum-RSI is a modified version of the classic Relative Strength Index. While the traditional RSI measures the velocity and magnitude of directional price movements, the Momentum-RSI amplifies aspects that reflect trend strength and momentum. 
•	Significance in Identifying Trend Strength: This indicator excels in identifying the strength behind a market's move. A high Momentum-RSI value typically indicates strong bullish momentum, suggesting the potential continuation of an uptrend. Conversely, a low Momentum-RSI value signals strong bearish momentum, possibly indicative of an ongoing downtrend. 
•	Application in Strategy: In this strategy, the Momentum-RSI is used to gauge the underlying strength of market trends. It helps in filtering out minor fluctuations and focusing on significant movements, providing a clearer picture of the market's true momentum. 
2.	EMA (Exponential Moving Average) Crossover 
•	Definition and Function: The EMA Crossover component utilizes two exponential moving averages of different timeframes. Unlike simple moving averages, EMAs give more weight to recent prices, making them more responsive to new information. 
•	Contribution to Market Direction: The interaction between the short-term and long-term EMAs is key to determining market direction. A crossover of the shorter EMA above the longer EMA is an indicator of an emerging uptrend, while a crossover below signals a developing downtrend. 
•	Application in Strategy: The EMA Crossover serves as a trend confirmation tool. It provides a clear, visual representation of the market's direction, aiding in the decision-making process for entering long or short positions. This component ensures that trades are aligned with the prevailing market trend, a crucial factor for the success of the strategy. 
 
3.	ATR (Average True Range) 
 
•	Definition and Function: The ATR is an indicator that measures market volatility by calculating the average range between the high and low prices over a specified period. 
•	Role in Assessing Market Volatility: The ATR provides insights into the typical market movement within a given timeframe, offering a measure of the market's volatility. Higher ATR values indicate increased volatility, while lower values suggest a calmer market environment. 
•	Application in Strategy: Within this strategy, the ATR is instrumental in tailoring risk management techniques, particularly in setting stop-loss levels. By accounting for the market's volatility, the ATR ensures that stop-loss orders are placed at levels that are neither too tight (risking premature exits) nor too loose (exposing to excessive risk). 
 
In summary, the combination of Momentum-RSI, EMA Crossover, and ATR in this trading strategy provides a comprehensive toolkit for market analysis. The Momentum-RSI identifies the strength of market trends, the EMA Crossover confirms the market direction, and the ATR guides in risk management by assessing volatility. Together, these components form the backbone of a strategy designed to navigate the complexities of the financial markets effectively. 
 
1.	Signal Generation Process 
 
•	Combining Indicators: The strategy operates by synthesizing signals from the Momentum-RSI, EMA Crossover, and ATR indicators. Each indicator serves a specific purpose: the Momentum-RSI gauges trend momentum, the EMA Crossover identifies the trend direction, and the ATR assesses the market’s volatility. 
•	Criteria for Signal Validation: For a signal to be considered valid, it must meet specific criteria set by each of the three indicators. This multi-layered approach ensures that signals are not only based on one aspect of market behavior but are a result of a comprehensive analysis. 
 
2.	Conditions for Long Positions 
 
•	Uptrend Confirmation: A long position signal is generated when the shorter-term EMA crosses above the longer-term EMA, indicating an uptrend. 
•	Momentum-RSI Alignment: Alongside the EMA crossover, the Momentum-RSI should indicate strong bullish momentum. This is typically represented by the Momentum-RSI being at a high level, confirming the strength of the uptrend. 
•	ATR Consideration: The ATR is used to fine-tune the entry point and set an appropriate stop-loss level. In a low volatility scenario, as indicated by the ATR, the stop-loss can be set tighter, closer to the entry point. 
 
3.	Conditions for Short Positions 
 
•	Downtrend Confirmation: Conversely, a short position signal is indicated when the shorter-term EMA crosses below the longer-term EMA, signaling a downtrend. 
•	Momentum-RSI Confirmation: The Momentum-RSI should reflect strong bearish momentum, usually seen when the Momentum-RSI is at a low level. This confirms the bearish strength of the market. 
•	ATR Application: The ATR again plays a role in determining the stop-loss level for the short position. Higher volatility, as indicated by a higher ATR, would warrant a wider stop-loss to accommodate larger market swings. 
 
By adhering to these mechanics, the strategy aims to ensure that each trade is entered with a high probability of success, aligning with the market’s current momentum and trend. The integration of these indicators allows for a holistic market analysis, providing traders with clear and actionable signals for both entering and exiting trades. 
 
Customizable Parameters in the Strategy 
 
Flexibility and adaptability are key features of this trading strategy, achieved through a range of customizable parameters. These parameters allow traders to tailor the strategy to their individual trading style, risk tolerance, and specific market conditions. By adjusting these parameters, users can fine-tune the strategy to optimize its performance and align it with their unique trading objectives. Below are the primary parameters that can be customized within the strategy: 
1.	Momentum-RSI Settings 
•	Period: The lookback period for the Momentum-RSI can be adjusted. A shorter period makes the indicator more sensitive to recent price changes, while a longer period smoothens the RSI line, offering a broader view of the momentum. 
•	Overbought/Oversold Thresholds: Users can set their own overbought and oversold levels, which can help in identifying extreme market conditions more precisely according to their trading approach. 
2.	EMA Crossover Settings 
•	Timeframes for EMAs: The strategy uses two EMAs with different timeframes. Traders can modify these timeframes, choosing shorter periods for a more responsive approach or longer periods for a more conservative one. 
•	Source Data: The choice of price data (close, open, high, low) used in calculating the EMAs can be varied depending on the trader’s preference. 
3.	ATR Settings 
•	Lookback Period: Adjusting the lookback period for the ATR impacts how the indicator measures volatility. A longer period may provide a more stable but less responsive measure, while a shorter period offers quicker but potentially more erratic readings. 
•	Multiplier for Stop-Loss Calculation: This parameter allows traders to set how aggressively or conservatively they want their stop-loss to be in relation to the ATR value. 
 
Here are the standard settings:  

			
				
					
				
			
		

The Flash-Strategy with Minervini Stage Analysis Qualifier

BINANCE:PEPEUSDT

The &quot;Yesterday&#x2019;s High Breakout - Trend Following Strategy&quot; is tailored towards active traders who thrive in a dynamic, high-volatility market environment and prefer short-term, momentum-based trades. This approach is well-suited for day traders who can monitor the markets and manage multiple trades within the intraday timeframes. It resonates with individuals who are comfortable with trend-following methods and have the discipline to stick to strict exit criteria.

Furthermore, the strategy caters to those familiar with technical analysis and can apply additional filters to confirm entry points such as gaps and rate of change. Traders who are adept at adjusting their positions in response to real-time price action will find this strategy particularly appealing. It is especially beneficial for traders focusing on the cryptocurrency markets, where the strategy has been specifically backtested and optimized for such conditions.

Improving the &quot;Yesterday&apos;s High Breakout - Trend Following Strategy&quot; manually involves refining entry and exit criteria, applying additional market analysis, and optimizing risk management. Here&apos;s a plan to enhance this strategy&apos;s effectiveness:

<ul>
<li>Diversify the time frame analysis: While the strategy primarily operates on 30M, 1H, 2H, and 4H time frames, incorporating a longer time frame (like daily or weekly charts) can help confirm the overall trend direction.</li>

<li>Optimize entry parameters: The current strategy uses a fixed gap percentage above yesterday&apos;s high for entry &#x2013; consider using a dynamic gap that adjusts to market volatility. Utilize the Average True Range (ATR) to determine a more responsive entry point above the previous day&apos;s high.</li>

<li>Fine-tune the rate of change filter: Experiment with different thresholds for the ROC to determine the levels which best correlate with successful breakouts in varying market conditions.</li>

<li>Enhance exit strategies:
 <ul>
 <li>Modify take-profit and stop-loss percentages based on volatility, perhaps using the ATR to set dynamic risk-reward ratios.</li>
 <li>For the trailing-stop, consider a variant that adapts to volatility, such as a Chandelier Exit.</li>
 </ul>
</li>

<li>Integrate additional technical analysis tools for confirming entries or exits, such as volume analysis (looking for breakout confirmation through unusual volume spikes) or RSI divergence (checking for potential reversals).</li>

<li>Incorporate support and resistance levels in managing trades; adjust the stop-loss or take-profit orders based on key levels identified through historical price action.</li>

<li>Consider market sentiment by keeping track of news and events that could trigger increased volatility or cause breakouts to fail. This external analysis could provide an extra layer of decision making, affecting the timing and management of trades.</li>

<li>Manually backtest the refined strategy parameters on several different assets and market phases to validate their effectiveness and determine any asset-specific adjustments needed.</li>

<li>Journal trades and review regularly to identify and eliminate recurring mistakes, while refining the strategy based on actual performance data and observations.</li>
</ul>

This trading strategy is based on the concept of buying when the current price is lower than the previous day&apos;s high, provided the rate of change (ROC) filter is positive and above a set threshold. It employs trailing stops, stop-loss, and take-profit orders for exit conditions.

To trade this strategy manually on TradingView:
<ul>
<li>Overlay yesterday&apos;s high line: Plot the line manually or use the built-in &apos;Daily High Low&apos; indicator for reference.</li>
<li>Calculate the ROC: Use the &apos;ROC&apos; indicator, set the period to 1 day, and apply the threshold specified in the input settings (default 1).</li>
<li>Entry condition: Place a buy stop order slightly above the previous day&apos;s high (yesterday&apos;s high + a certain percentage specified by the &apos;Gap&apos; input).</li>
<li>Exit conditions:
 <ul>
 <li>Set a stop-loss as a percentage of the entry price (SL parameter).</li>
 <li>Set a take-profit at a specified percentage above the entry price (TP parameter).</li>
 <li>Use a trailing stop-loss, activated once the price moves in your favor by the percentage specified in &apos;Trailing-stop&apos;.</li>
 </ul>
</li>
<li>Additional exit strategy: If the &apos;Close EMA&apos; option is activated, close the trade when the price crosses under an Exponential Moving Average (EMA) with a specified look-back period (given by the &apos;EMA length&apos; parameter).</li>
</ul>

<ul>
<li>Strategy essence: Capitalizes on momentum by entering long when the price exceeds yesterday&apos;s high, leverages a rate of change filter, and employs variable exit strategies including take-profit and trailing stops.</li>
<li>Automation level: Primarily automated within TradingView&apos;s platform, enabling consistent execution; can be complemented with manual oversight for enhanced control.</li>
<li>Manual trading adjustment: Refinement possible by manual adjustment of gap percentages and monitoring of volatility indicators such as ATR to inform entry points.</li>
<li>Optimization tactics: Fine-tuning ROC thresholds, varying take-profit and stop-loss percentages, employing volatility-based trailing stops, and backtesting enhancements across various assets and timeframes.</li>
<li>Risk management: Adjust stop-loss to accommodate market conditions, utilize additional technical analysis (e.g., support/resistance, volume) for informed trade management, and stay abreast of market sentiment.</li>
<li>Trader fit: Ideal for day traders experienced in short-term, high-volatility trends, particularly within the crypto space, who are skilled in technical analysis and disciplined in trade executions.</li>
</ul>

The &quot;Yesterday&apos;s High Breakout - Trend Following Strategy&quot; capitalizes on trend momentum by entering long positions at the break of the previous day&apos;s high. It incorporates diverse exit methodologies, including fixed Take-Profit and Stop-Loss, a trailing-stop with adjustable offset, or exiting if the price closes under a certain EMA. Filters based on pair volatility and a gap above yesterday&apos;s high minimize false breakouts, tailored to cryptos like NULS with specific percentage parameters for optimal trade execution.

The &quot;Yesterday&apos;s High Breakout - Trend Following Strategy&quot; utilizes the concept of breakouts above the previous day&apos;s high to enter long positions. This strategy adapts to the volatility of the market by incorporating several exit methods and operational filters:

<ul>
<li>Entry is triggered when the price breaks above the high of the preceding day. This can happen multiple times within a single day, aligning with a trend-following approach.</li>

<li>Exiting a trade can be done through predefined Take-Profit and Stop-Loss percentages, employing a trailing-stop with a set offset, or by closing the position when the candle closes below a specific EMA length, allowing flexibility based on market conditions.</li>

<li>Operational filters such as the Rate of Change or gaps to yesterday&apos;s high are used to refine entry points and avoid false breakouts. For instance, in the case of the cryptocurrency NULS, a 9% Take-Profit and a 3% Stop-Loss were set. To further avoid premature entries, a 1% gap was added to yesterday&apos;s high prices.</li>

<li>The strategy is designed for short-term trading on timeframes from 30M to 4H, favoring scenarios where the market exhibits a clear trend and high volatility.</li>
</ul>

Enhancements can be made to the strategy by modifying its open-source Pine script, which includes various settings such as gap modification, Take-Profit and Stop-Loss levels, and more.

Yesterday’s High Breakout it is a trading system based on the analysis of yesterday's highs, it works in trend-following mode therefore it opens a long position at the breakout of yesterday's highs even if they occur several times in one day. 
 
There are several methods for exiting a trade, each with its own unique strategy. The first method involves setting Take-Profit and Stop-Loss percentages, while the second utilizes a trailing-stop with a specified offset value. The third method calls for a conditional exit when the candle closes below a reference EMA.  
Additionally, operational filters can be applied based on the volatility of the currency pair, such as calculating the percentage change from the opening or incorporating a gap to the previous day's high levels. These filters help to anticipate or delay entry into the market, mitigating the risk of false breakouts.  
In the specific case of NULS, a 9% Take-Profit and a 3% Stop-Loss were set, with an activated trailing-stop percentage. To postpone entry and avoid false breakouts, a 1% gap was added to the price of yesterday's highs. 
 
Name: Yesterday's High Breakout - Trend Follower Strategy  
 
Author: @tumiza999  
 
Category: Trend Follower, Breakout of Yesterday's High.  
 
Operating mode: Spot or Futures (only long).  
 
Trade duration: Intraday.  
 
Timeframe: 30M, 1H, 2H, 4H 
 
Market: Crypto 
 
Suggested usage: Short-term trading, when the market is in trend and it is showing high volatility.  
 
Entry: When there is a breakout of Yesterday's High.  
 
Exit: Profit target or Trailing stop, Stop loss or Crossunder EMA.  
 
Configuration:  
- Gap to anticipate or postpone the entry before or after the identified level  
- Rate of Change for Entry Condition 
- Take Profit, Stop Loss and Trailing Stop  
- EMA length  
 
Backtesting: 
⁃ Exchange: BINANCE 
⁃ Pair: NULSUSDT 
⁃ Timeframe: 2H 
⁃ Fee: 0.075% 
⁃ Slippage: 1 
- Initial Capital: 10000 USDT 
- Position sizing: 10% of Equity 
- Start : 2018-07-26 (Out Of Sample from 2022-12-23) 
- Bar magnifier: on 
 
Credits: LucF for Pine Coders (f_security function to avoid repainting using security) 
 
Disclaimer: Risk Management is crucial, so adjust stop loss to your comfort level. A tight stop loss can help minimise potential losses. Use at your own risk. 
 
How you or we can improve? Source code is open so share your ideas! 
Leave a comment and smash the boost button! 
 
Thanks for your attention, happy to support the TradingView community. 


Yesterday’s High Breakout - Trend Following Strategy

BYBIT:USTCUSDT

The Bollinger Band with RSI strategy is well-suited for traders who specialize in volatility and momentum-based trades. Specifically, it caters to:
<ul>
<li>Swing Traders: Those who hold positions from several days to weeks can benefit from the signals indicating potential reversals at key Bollinger Band levels.</li>
<li>Technical Traders: Traders who rely on technical analysis will find this strategy aligns with their style, as it is based on well-established technical indicators.</li>
<li>Risk-Averse Traders: With a default stop loss in place, the strategy provides a clear risk management framework attracting traders who prioritize capital protection.</li>
</ul>
This trading approach favors a moderate pace, is not suitable for high-frequency trading due to the lagging nature of the indicators involved, and is best employed in a market that showcases clear trends interspersed with periods of consolidation.

Improving the Bollinger Band with RSI strategy manually involves tweaking certain parameters and adding complementing trading techniques to refine entry and exit points, enhance risk management, and potentially increase the profitability of trades. Here&apos;s a strategic plan to optimize the existing framework:

<ul>
<li>Parameter Optimization: Adjust the Bollinger Bands&apos; period and standard deviation settings to better fit the asset&apos;s volatility. Conduct a historical backtest for different settings to determine the most effective period and deviation for the specific market.</li>
<li>Incorporate Price Action: Use candlestick patterns at the Bollinger Band levels to confirm entries. For example, a bullish reversal pattern such as a hammer or engulfing candle at the lower band could fortify the case for a long entry.</li>
<li>Multiple Time-Frames Confirmation: Analyze the asset on multiple time frames. A long entry signal on a shorter time frame should ideally align with a bullish trend on the higher time frame for added confirmation.</li>
<li>Volume Analysis: Supplement RSI with volume analysis to validate the strength of the price movement. Rising volume during a rebound from the lower Bollinger Band could indicate a stronger buy signal.</li>
<li>Diversification of Indicators: Enhance the strategy by integrating other momentum or trend-following indicators such as MACD or moving averages to cross-verify RSI signals. Using a moving average crossover within the Bollinger Band might help to filter whipsaws.</li>
<li>Fine-Tuning Risk Management: Develop a dynamic stop-loss strategy that adjusts with the asset&apos;s volatility, possibly employing Average True Range (ATR) for setting more responsive stop-loss levels.</li>
<li>Assess Market Conditions: Adjust trading aggressiveness based on broader market conditions. In ranging markets, tighten profit targets and stop losses, and be more aggressive in trending conditions.</li>
<li>Profit Target Adjustments: Consider implementing a scaling out strategy where partial profits are taken as the price hits intermediate levels of resistance on the way to the primary profit target.</li>
<li>Continuous Learning: Keep a trading journal to record the outcomes of the tweaked strategy, enabling the identification of patterns that work well and those that need further adjustment or elimination.</li>
</ul>

This trading strategy utilizes Bollinger Bands and the Relative Strength Index (RSI) to make trading decisions. It enters a long position when the RSI is below 30 and the price is below the lower Bollinger Band, and exits when the RSI goes above 70 or reaches the take profit/stop loss levels.

To trade this strategy manually on TradingView:
<ul>
<li>Set RSI with length of 14 and plot two horizontal lines at values 30 (as the oversold level) and 70 (as the overbought level).</li>
<li>Apply Bollinger Bands with a length of 20 periods and a standard deviation multiplier of 2.0 to your price chart.</li>
<li>Enter a long position when the RSI is below 30 and the closing price is below the lower Bollinger Band.</li>
<li>Set your take profit at 10% above your average entry price and your stop loss at 25% below your average entry price.</li>
<li>Exit the long position when RSI rises above 70 or when the price hits the take profit/stop loss levels previously set.</li>
</ul>

<ul>
 <li>Strategy Basis: Utilizes Bollinger Bands for volatility and RSI for momentum to pinpoint entry and exit points.</li>
 <li>Manual Trading: Entry at lower Bollinger Band with RSI below 30; exit at RSI above 70 or at take profit/stop loss levels.</li>
 <li>Automation Potential: Can be automated in TradingView using the given script, with alerts to notify traders.</li>
 <li>Combining Methods: Alerts can be used to flag potential trades, which are then analyzed manually for confirmation.</li>
 <li>Optimization Techniques: Backtest, adjust Bollinger Bands settings, incorporate price action, and use volume analysis for confirmation.</li>
 <li>Multiple Time-Frame Analysis: Verify signals on multiple time frames for added confidence in the trades.</li>
 <li>Risk Management: A predefined 25% stop loss and dynamic adjustments using ATR can enhance strategy safety.</li>
 <li>Target Trader Profile: Suits swing and technical traders, especially those who are risk-averse and prefer medium-term positions.</li>
 <li>Trade Frequency: Not intended for high-frequency trading due to indicator lag.</li>
</ul>

The Bollinger Band with RSI strategy employs Bollinger Bands and the Relative Strength Index to identify potential entry points based on price volatility. A signal to enter is when the closing price touches the lower Bollinger Band and the RSI indicates oversold conditions. Exit when the RSI suggests overbought conditions or profits can be taken after a rebound past the middle Bollinger Band. A default stop loss of 25% is recommended to protect capital.

The Bollinger Band with RSI strategy employs the Bollinger Band and Relative Strength Index (RSI) indicators to identify potential buy and sell points based on price volatility and momentum. This two-pronged approach uses the Bollinger Band to gauge the price level relative to historical volatility, focusing on instances when the closing price touches or breaches the lower band, signaling a possible entry point if supported by RSI readings.

<ul>
<li>Long Entry: Triggered when RSI is below 30 (indicating oversold conditions), and the closing price is below the lower Bollinger Band, suggesting potential price reversal and bullish movement.</li>
<li>Exit Strategy: The strategy advises selling when the RSI rises above 70, indicating overbought conditions.</li>
<li>Stop Loss: Set at 25% below the entry price to mitigate the risk of continued downward price movement despite oversold RSI readings.</li>
<li>Take Profit: Recommended when the price rebounds to the middle or upper Bollinger Band or when RSI indicates overbought territory.</li>
</ul>

The buy and sell signals, combined with proper stop loss and take profit levels, provide a systematic approach to trading within the parameters set by the Bollinger Band and RSI indicators on the TradingView platform.

This strategy aims to predict price volatility and identify optimal entry points by analyzing price behavior at critical levels. It focuses on capturing rebounds from lower price bands or identifying continued downtrends to make informed trading decisions. The approach incorporates a stop loss to manage risk and defines clear profit-taking points to maximize gains, emphasizing strategic entry and exit points based on price movement patterns.
 
 
Using combination bollinger band and RSI indicator as guide to predict price volatility and the best entry point. The strategy logic is pretty straightforward where we're interested with close price that touches the lower bollinger band ; there are only two scenarios that will happened after the price reaches the lower band; the price might rebound from the lower bollinger band or drop lower and continue downtrend. To confirm the price movement, we use a second indicator which is the RSI to further investigate the price trend. For example, if the price reaches the lower bollinger band but the RSI value is not in the oversold region, we can conclude that the price will go lower and continue downtrend. If the RSI value is in the oversold region, we can use this price area as our entry point. 
 
Stop loss is necessary to avoid losing too much capital if the RSI value lingers too long in the oversold region. 
 
Best take profit area is when the price rebound above the middle bollinger band area/upper bollinger band or when the RSI reaches overbought region; whichever comes first. 
 
Long entry: 
RSI < 30 & close price < lower bollinger band 
 
Exit entry: 
RSI > 70 
 
Default stop loss: -25%
 
 
					
 
 Release Notes: 
 
 After more than two weeks of dry-run trading, bollinger band and rsi strategy are not able to accumulate huge profit. Some profits were lost due to lag on the indicators; rsi and bollinger band are pretty slow indicator for high frequency trading. Below is the summary of my trades using this strategy: 
 
Mode: Dry-run 
Exchange: binance 
Stake per trade: 40 USDT 
Max open Trades: 0 
Minimum ROI: {'0': 0.1} 
Ask strategy: {"price_side": "ask", "use_order_book": false, "order_book_min": 1, "order_book_max": 1, "use_sell_signal": true, "sell_profit_only": false, "ignore_roi_if_buy_signal": false, "sell_profit_offset": 0.0, "ignore_buying_expired_candle_after": 0} 
Bid strategy: {"price_side": "bid", "ask_last_balance": 0.0, "use_order_book": false, "order_book_top": 1, "check_depth_of_market": {"enabled": false, "bids_to_ask_delta": 1}} 
Stoploss: -0.25 
Timeframe: 15m 
Strategy: bbandrsi 
Current state: running 
 
ROI: Closed trades 
∙ -16.46963487 USDT (-0.57%) (-41.13 Σ%) 
∙ -16.634 USD 
ROI: All trades 
∙ -19.92004824 USDT (-0.67%) (-49.75 Σ%) 
∙ -20.119 USD 
Total Trade Count: 74 
First Trade opened: 2 weeks ago 
Latest Trade opened: 18 hours ago 
Win / Loss: 38 / 34 
Avg. Duration: 1 day, 9:55:57 
Best Performing: EOS/USDT: 27.16% 
 
Use the strategy at your own risk.

Bollinger Band with RSI

BINANCE:VIRTUALUSDT

This strategy suits active traders who have the ability to monitor the markets regularly and can respond swiftly to breakout signals. The use of fractals for high/low confirmation introduces a lag that requires traders to be patient and wait for the right conditions before entering a trade. It&apos;s most effective for:

<ul>
 <li>Intraday traders: who capitalize on small price movements within a single trading day.</li>
 <li>Swing traders: who hold positions for several days to capture gains from short-term trends.</li>
 <li>Technical analysis enthusiasts: comfortable with using indicators like simple moving averages (SMAs) and fractals to inform trading decisions.</li>
</ul>

Its reliance on dynamic support and resistance levels aligns well with a trading style that emphasizes technical chart patterns and price action. Traders who thrive on volatility and price momentum will find this strategy particularly useful, as it aims to enter trades during potentially strong price moves following a breakout.

Improving the Support-Resistance breakout strategy manually involves refining entry and exit points, considering additional technical indicators, and incorporating price action analysis. Here&apos;s a structured plan to enhance the strategy:

<ul>
 <li>
 Refine SR Levels: Instead of relying solely on the SMA differential for alternate support and resistance (SR) levels, enhance precision by integrating volume-weighted average price (VWAP) as it takes into account both price and volume, providing a more dynamic SR level.
 </li>
 <li>
 Optimize Lookback Period: The default 21-bar lookback may not suit all trading styles or timeframes. Adjust the period based on the volatility and trend characteristics of the asset being traded, implementing a shorter period for a more reactive strategy or longer for more confirmation.
 </li>
 <li>
 Price Action Confirmation: Incorporate candlestick patterns at SR levels for extra confirmation of a breakout. For example, a bullish engulfing pattern on a resistance level breach may reinforce a long entry, whereas a bearish pattern on support breach could strengthen a short signal.
 </li>
 <li>
 Use Multiple Timeframes: For greater reliability, look for SR breakouts that occur concurrently on multiple timeframes. If a breakout on a 15-minute chart coincides with one on an hourly chart, this multi-timeframe confirmation can signal a stronger trade opportunity.
 </li>
 <li>
 Momentum Indicators Addition: Add momentum indicators like the Relative Strength Index (RSI) or the Moving Average Convergence Divergence (MACD) to support your decision-making. An RSI reading above 70 or a MACD crossover could align with a resistance breakout for long entries and the opposite for short entries.
 </li>
 <li>
 Implement Risk Management: Define a maximum risk per trade and include stop-loss orders, ideally just below support for long trades and above resistance for short ones. Adjust stop-losses as the trade progresses to lock in profits or minimize potential losses.
 </li>
 <li>
 Adaptive Exit Strategy: In addition to SMA differential exits, consider using trailing stops or exiting a portion of the position at predetermined profit targets to capture gains while allowing the remainder of the position the opportunity to run.
 </li>
 <li>
 Backtesting and Optimization: Manually backtest your adjusted strategy on historical data to ensure that your modifications lead to an improved performance. Iteratively refine parameters and indicators based on backtesting results.
 </li>
</ul>

This trading strategy identifies trend reversals based on dynamic support and resistance levels calculated over a specified lookback period. It generates buy signals when the price is above the resistance level and sell signals when below the support level.

To trade this strategy manually on TradingView:
<ul>
 <li>Set the SR lookback length to 21 bars.</li>
 <li>Identify high points where the last three bars form a peak with conditions &quot;high[5] &lt; high[4] &lt; high[3] &gt; high[2] &gt; high[1]&quot;.</li>
 <li>Identify low points where the last three bars form a trough with conditions &quot;low[5] &gt; low[4] &gt; low[3] &lt; low[2] &lt; low[1]&quot;.</li>
 <li>Calculate rolling sums of highs and lows over the last 21 bars to find the average of these points.</li>
 <li>Determine the resistance value (hval) at the highest peak within 21 bars and support value (lval) at the lowest trough.</li>
 <li>Establish a trend indicator that becomes positive (1) when the close is above both the resistance and support and negative (-1) when below both.</li>
 <li>Buy (long position) when the trend indicator turns positive and the current close is above the resistance level.</li>
 <li>Sell (short position) when the trend indicator turns negative and the current close is below the support level.</li>
 <li>Close long positions when the trend turns negative and close short positions when the trend turns positive.</li>
 <li>Use bar color to indicate trends and positions: green for long, red for short, white for uptrend, orange for downtrend, and blue otherwise.</li>
</ul>

<ul>
 <li>Strategy dynamics: Trades are triggered by price breakouts from fractal-based support and resistance levels, with alternate levels calculated using the differences between high and low SMAs.</li>
 <li>Automation potential: Scripted for TradingView, allowing for automated signal generation and trade execution, paired with manual oversight for optimization.</li>
 <li>Manual trading feasibility: Can be executed by hand using fractals and SMAs on TradingView charts; suitable for traders who prefer hands-on control.</li>
 <li>Alert utilization: Set up TradingView alerts on breakout events to prompt timely manual analysis, ensuring you don&apos;t miss entry or exit points.</li>
 <li>Optimization strategies: Integrate additional indicators like RSI or MACD for momentum confirmation, adjust lookback periods, and apply multi-timeframe analysis for increased accuracy.</li>
 <li>Risk management: Includes stop-loss placements and trailing stops to protect from losses and lock in profits, critical for strategies with lag elements that might otherwise lead to significant retracements.</li>
 <li>Trader profile: Favors intraday and swing traders adept with technical analysis and who are able to respond to trade alerts with quick decision-making.</li>
</ul>

The Support-Resistance breakout strategy involves entering long positions after a resistance level&#x2014;determined by fractal indicators with a two-bar confirmation lag&#x2014;is breached, and entering short positions when a support level is similarly broken. Alternate support and resistance levels are derived from the difference between the simple moving averages (SMA) of the highs and lows over a 21-bar period, inspired by the Nebula-Advanced-Dynamic-Support-Resistance indicator. Trades are exited when a price bar moves contrary to the position direction by more than the SMA difference of highs and lows.

The Support-Resistance breakout strategy capitalizes on significant price movements through entry points created by fractal-based support and resistance levels. Sequentially analyzing bars with a 2-bar confirmation delay, it detects potential highs and lows. Contrary to typical support and resistance, this strategy employs a unique moving average (SMA) calculation by taking the difference between the SMA of the highs and the SMA of the lows, over a default period of 21 bars. This calculation forms a dynamic, alternate support/resistance level.

Traders enter long positions when the price breaks above this resistance, and short positions when it drops below support. The strategy dictates the exit from a position whenever there&apos;s a bar change against the position&apos;s direction, with the magnitude exceeding the difference between the SMAs of the highs and lows. Overlaying the actual calculated levels onto a chart, this strategy not only signals entry and exit points but also colors the bars for visual confirmation of the market trend.

Strategy based on longing resistance breakout and shorting support breakout. 
It defines highs and lows using fractal with 2 bars for confirming high/lows. So it has 2 bars lag. 
It calculates the difference between sma with defined length (21 by default) of highs and of lows and uses it as alt SR level. This idea I took from synapticEx's indicator Nebula-Advanced-Dynamic-Support-Resistance. 
Position enter is the breakout of SR, defined by fractals. 
Position exit is: bar change in opposite to position direction > difference is sma of highs and of lows.