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Trendelicious Strategy

Script from: TradingViewLongTermTrend followingReversalPrice action

Trendelicious Strategy utilizes a unique indicator to capitalize on emerging uptrends. Enter a long position if an uptrend began two candles prior, and exit when it ended two candles ago. Opt for 4H or daily timeframes for optimal results, filtering noise for significant trend profits. Tailored for mobile use, the strategy includes statistical features. Suitable for traders seeking simplified decision-making on larger timeframes.

Zcash / TetherUS (ZECUSDT)

+ Trendelicious Strategy

@ Daily

2.29

Risk Reward

415.45 %

Total ROI

23

Total Trades

Cardano / TetherUS (ADAUSDT)

+ Trendelicious Strategy

@ Daily

2.13

Risk Reward

5,837.60 %

Total ROI

19

Total Trades

Binance Coin / TetherUS (BNBUSDT)

+ Trendelicious Strategy

@ Daily

2.12

Risk Reward

11,055.81 %

Total ROI

23

Total Trades

Ethereum / TetherUS (ETHUSDT)

+ Trendelicious Strategy

@ Daily

2.04

Risk Reward

3,056.40 %

Total ROI

23

Total Trades

Zcash / TetherUS (ZECUSDT)

+ Trendelicious Strategy

@ 2 h

1.63

Risk Reward

2,176.67 %

Total ROI

197

Total Trades

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ 4 h

39.19

Risk Reward

2,928.96 %

Total ROI

19

Total Trades

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ Daily

7.17

Risk Reward

461.24 %

Total ROI

22

Total Trades

Progressive Corporation (The) (PGR)

+ Trendelicious Strategy

@ Daily

2.65

Risk Reward

23,108.50 %

Total ROI

102

Total Trades

CrowdStrike Holdings, Inc. (CRWD)

+ Trendelicious Strategy

@ 4 h

2.51

Risk Reward

271.29 %

Total ROI

26

Total Trades

NIFTY 50 (NIFTY)

+ Trendelicious Strategy

@ 4 h

2.36

Risk Reward

192.76 %

Total ROI

65

Total Trades

IREN LIMITED (IREN)

+ Trendelicious Strategy

@ 4 h

2.34

Risk Reward

579.72 %

Total ROI

17

Total Trades

AST SpaceMobile, Inc. (ASTS)

+ Trendelicious Strategy

@ 4 h

2.31

Risk Reward

784.33 %

Total ROI

21

Total Trades
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Guide

How does the Trendelicious Strategy strategy work ?

The Trendelicious Strategy leverages the Trendelicious indicator to identify trend shifts. It focuses on trend reversals by:

  • Entering Long: Executes a long position if an uptrend has been in place for at least two candles.
  • Exiting Position: Closes positions once an uptrend concludes two candles earlier.

This strategy is ideally applied on higher timeframes such as 4-hour or daily charts, effectively capturing larger uptrend movements. With built-in parameters and timeframe specifications, it filters out market noise and ensures clarity in trend identification.

An embedded code segment also provides mobile-compatible statistical displays, enhancing user convenience on-the-go. This script runs within specific time windows, and utilizes initial parameters including price source and an optional aggressive mode for more dynamic market interpretations.

How to use the Trendelicious Strategy strategy ?

This trading strategy identifies uptrends and downtrends using a pivot point (PP) calculated based on the highest and lowest price over a user-defined period. Trades are entered when the trend conditions align favorably, particularly utilizing price crossovers and changes in PP across a number of bars, with optional aggressive conditions.

To trade this strategy manually:

  • Indicators:
    • Pivot Point (PP): Calculate by averaging the highest and lowest prices over the last 30 bars.
    • Price Crossover and Crossunder: Track when prices cross over or under the PP.
    • Price and PP Changes: Monitor if they are rising or falling over five consecutive bars.
  • Entry Conditions:
    • Buy: Enter a long position if the price is above PP and either PP is rising, or conditions meet aggressive mode criteria with specific preceding PP changes.
    • Sell: Close the long position if the price is below PP and either PP is falling, or conditions meet aggressive mode criteria with specific preceding PP changes.
  • Exit Conditions:
    • Close a long position when downtrend criteria are met.

How to optimize the Trendelicious Strategy trading strategy ?

To enhance the Trendelicious Strategy for manual trading, you can integrate various adjustments and complementary tools. Here’s a structured plan to refine its performance:

  • Diversify Timeframes:
    • Incorporate multi-timeframe analysis to ensure alignment of trends across different charts. Use a 1-hour chart to confirm trends on lower 15-minute charts for precise entry points.
  • Complementary Indicators:
    • Add Moving Average Convergence Divergence (MACD) to detect momentum shifts that support PP crossovers.
    • Employ RSI (Relative Strength Index) to evaluate overbought or oversold conditions, reducing false entries.
  • Refine Pivot Point Calculation:
    • Adjust the parameter length based on market volatility, using a shorter period during high volatility for more reactive PP changes, and a longer period in stable conditions for reliability.
  • Aggressive Mode Evaluation:
    • Regularly evaluate market conditions to decide when to enable or disable aggressive mode manually, potentially using historical trend analyses.
  • Risk Management Enhancements:
    • Implement stop-loss orders systematically below recent swing lows/highs or a percentage threshold, following entry.
    • Set take-profit orders at key resistance levels to protect gains.
  • Entry and Exit Signals Improvement:
    • Use candle patterns or volumes to confirm entries/exits recognized by the strategy, especially during transitions at PPs.
  • Backtesting and Optimization:
    • Run extensive backtests across various market conditions and asset classes to identify which settings yield the best performance. Adapt parameters iteratively based on findings.
  • Journaling and Continuous Learning:
    • Maintain a detailed trading journal logging your trades, market conditions, and decision rationales. Use this data to review, assess, and refine your strategy aligned with practical findings.

By incorporating these enhancements, the Trendelicious Strategy can be refined into a more robust and adaptable trading system, leveraging manual insights and continual improvement.

For which kind of traders is the Trendelicious Strategy strategy suitable ?

This strategy is ideal for traders who prefer a medium to long-term trading approach, leveraging higher timeframes such as 4-hour or daily charts. It caters to those who are comfortable with strategic patience, waiting for clear trend confirmations based on the Trendelicious indicator. The strategy suits:

  • Swing Traders: Those interested in capturing significant market movements over several days or weeks, utilizing trend reversals as primary signals for entry and exit.
  • Position Traders: Individuals aiming to hold positions longer-term, riding substantial trends with fewer, but potentially more significant, trades.

Traders who favor technical analysis and appreciate the structured simplicity of clearly defined entry and exit rules will find this method fitting. It requires careful observation, especially when incorporating the optional aggressive mode, and benefits from manual refinement and multi-timeframe assessments in volatile markets.

Key Takeaways of Trendelicious Strategy

Key takeaways of the Trendelicious Strategy:

  • Strategy Overview: Designed for medium to long-term trading on higher timeframes to capture significant trend reversals using the Trendelicious indicator.
  • How it Works: The strategy enters long positions when an uptrend started two candles ago and exits when it ended two candles ago, focusing on price and pivot point changes.
  • How to Use It: Automated alerts can be set in TradingView for entry and exit signals, combining with manual analysis for confirmation and adaptability in different market conditions.
  • Optimization Techniques: Integrate additional indicators like MACD and RSI and perform backtesting to tailor parameters to market dynamics and gain more reliable signals.
  • Risk Management Enhancements: Implement clear stop-loss and take-profit levels based on market structure, such as previous highs and lows, to protect trades and secure profits.
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