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SuperTREX strategy

Script from: TradingView

Swing

Trend following

Momentum

Mean reversion

The SuperTREX strategy involves customizable parameters for various assets, with a focus on multi-timeframe (MTF) analysis and staged take profit levels. This adaptive approach requires tailored settings for each coin or asset to optimize performance in different market conditions.

fuboTV Inc. (FUBO)

+ SuperTREX strategy

@ 2 h

1.79

Risk Reward

38.91 %

Total ROI

72

Total Trades

Pfizer, Inc. (PFE)

+ SuperTREX strategy

@ 15 min

1.68

Risk Reward

8.12 %

Total ROI

43

Total Trades

fuboTV Inc. (FUBO)

+ SuperTREX strategy

@ 4 h

1.67

Risk Reward

25.43 %

Total ROI

51

Total Trades

Bank of America Corporation (BAC)

+ SuperTREX strategy

@ 15 min

1.65

Risk Reward

9.52 %

Total ROI

46

Total Trades

Lucid Group, Inc. (LCID)

+ SuperTREX strategy

@ 2 h

1.64

Risk Reward

16.12 %

Total ROI

21

Total Trades

Premium users only

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

@ 4 h

3.92

Risk Reward

27.16 %

Total ROI

19

Total Trades
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Guide

How does the SuperTREX strategy strategy work ?

The SuperTREX strategy is an open-source trading system designed for various assets, requiring tailored parameter settings for each. It uses a combination of RSI for overbought and oversold signals and SuperTrend indicators to determine market trends and generate buy/sell signals.

  • Directional trading based on user-defined Strategy Direction settings which could be 'long,' 'short,' or 'both.'
  • Utilizes a modified Relative Strength Index (RSI) formula to generate entry points when crossing over the oversold level for long positions or under the overbought level for short positions.
  • Includes a non-secure multi-time frame (MTF) option for calculating price averages, using a mechanism that considers price changes across different time resolutions.
  • Incorporates a dynamic SuperTrend calculation which adapts the upper and lower levels based on average prices and ATR (Average True Range), adjusting these for trend strength and direction.
  • Buy and sell signals are plotted directly on the chart, with green labels below and red labels above the price bar to indicate possible entry points for long and short positions respectively.
  • Integrated with a predefined take profit strategy partitioned into four steps, allowing for partial profit taking at different price levels, accompanied by an adjustable stop-loss for risk management.

Traders can customize the strategy by setting the multiplier and period for the SuperTrend calculation, the percentage of equity used per trade, and thresholds for taking profits at various levels.

How to use the SuperTREX strategy strategy ?

This trading strategy uses a modified RSI for entry signals triggered when the RSI crosses over the oversold level for long entries or under the overbought level for short entries. The exit signals are generated by a SuperTrend indicator based on ATR and price, with adjustable take-profit and stop-loss levels.

To trade this strategy manually on TradingView:

  • Set RSI to the Relative Strength Index with a period length of 14.
  • Define oversold as 35 and overbought as 70.
  • For long entries, enter when RSI crosses above 35. For short entries, enter when RSI crosses below 70.
  • Set SuperTrend using ATR with a period of 10 and a multiplier of 4.
  • Buy when the price crosses over the SuperTrend line and sell when it crosses under.
  • Set your take-profit levels at 10%, 20%, 50%, and 100% of your entry price, and set your stop-loss at 25%.
  • Adjust your position's size using a percentage of your equity, with the inputs suggesting 25% for each trade.
  • Use price-based exits by dividing the take-profit and stop-loss percentages by the minimum tick size for the asset you're trading and rounding to the nearest whole number.

How to optimize the SuperTREX strategy trading strategy ?

To enhance the SuperTREX strategy for manual trading on TradingView, several adjustments can be implemented:

  • Optimize RSI Parameters: The default RSI settings could be fine-tuned for the specific asset being traded. This could involve adjusting the length of the RSI or the overbought and oversold thresholds to better align with the asset’s volatility and trading behavior.
  • Adaptive ATR Multiplier: The SuperTrend multiplier impacts the sensitivity of the trend line. Rather than a fixed multiplier, use an adaptive approach that accounts for recent market volatility, perhaps by linking the multiplier to a volatility index or recent ATR readings.
  • Multiple Time Frame Analysis: A multi-timeframe approach can provide a broader market perspective. For instance, confirming entry signals with higher timeframe trends can potentially improve the accuracy of the strategy and filter out weaker signals.
  • Dynamic Position Sizing: Instead of a static percentage of equity per trade, consider using a dynamic position sizing method. This can be based on the volatility of the asset, the distance to the stop-loss, or the confidence level of the trade signal.
  • Custom Take-Profit Levels: The four predefined take-profit levels may not suit every trade. Analyze past performance to tailor these levels, possibly using key support and resistance zones or a trailing stop mechanism that locks in profits as the price moves favorably.
  • Price Action Confirmation: Incorporate price action analysis before executing trades. Look for confirmation from candlestick patterns and support/resistance levels near RSI and SuperTrend signals to add an extra layer of validation.
  • Diversify Asset Selection: Apply the strategy across a diverse set of assets to spread risk and take advantage of varying market conditions. Each asset should be carefully analyzed to accommodate its specific characteristics in the strategy settings.
  • Manual Discretion: Allow for manual override where trader experience and judgment can preempt mechanical signals, especially during major economic announcements or when unexpected market moves occur.
  • Backtesting and Continuous Review: Regularly backtest the revised strategy against historical data and adjust parameters as necessary. Keeping performance logs and reviewing trades can help identify what adjustments are proving effective.

While refining the SuperTREX for manual trading, it is important to remember that no strategy guarantees success, and enhancements should focus on incrementally improving trade outcomes and reducing drawdowns.

For which kind of traders is the SuperTREX strategy strategy suitable ?

The SuperTREX strategy targets traders who are comfortable with both trend-following systems and mean-reversion techniques. It's particularly suited for:

  • Intermediate to Advanced Traders: Individuals with the ability to optimize technical indicators and tailor strategies to different assets. Familiarity with concepts like RSI, ATR, and SuperTrend is essential.
  • Swing Traders: Those who capitalize on short-term trends within a primary trend, taking advantage of the momentum derived from the RSI and SuperTrend signals over days or weeks.
  • Technical Analysts: Traders who base their decisions on chart analysis and technical indicators, rather than fundamental analysis, will find this strategy appealing as it involves multiple technical concepts.
  • Adaptable Traders: Traders who are willing to manually adjust the strategy parameters for different market environments and assets, as SuperTREX requires fine-tuning to perform optimally across various conditions.

Key Takeaways of SuperTREX strategy

  • Strategy Essence: SuperTREX combines RSI for entry points with SuperTrend indicators for trend direction, with staged take-profit levels.
  • Automated Trading: Traders can set up the strategy on TradingView with automated entries and exits based on predefined conditions in the script.
  • Manual Trading: Discretionary traders manually apply RSI levels, SuperTrend settings, and adjust take-profits based on the price action and volatility.
  • Optimization: Fine-tune RSI parameters, SuperTrend multipliers and adapt position sizing to improve strategy performance for specific markets.
  • Combining Approaches: Use alerts for potential entries and apply manual analysis for confirmation to increase the accuracy of signals.
  • Risk Management: Tailor stop-loss levels and take-profit steps, consider dynamic position sizing to protect capital.
  • Suitable Traders: Tailored for those experienced in technical analysis and indicator optimization across varying assets and conditions.
  • Continuous Improvement: Regular backtesting and adjustments to the strategy settings are crucial for consistent performance.
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