Hull Fisher

This trading strategy utilizes the Hull Moving Average and the Fisher Transform to generate trading signals, enhanced optionally by the Commodity Channel Index (CCI). Entry signals are based on crossovers of the Fisher Transform relative to the zero and extreme lines, with additional conditions from the HMA and CCI. Exits are triggered by opposing crossovers.

To trade this strategy manually on TradingView:

• Set up a Hull Moving Average (HMA) with your chosen period, say 14, to smooth out price data.
• Add the Fisher Transform indicator to determine when price extremes have been reached, with a length of 9, to translate prices into a Gaussian normal distribution.
• Optionally include the Commodity Channel Index (CCI) with the same period as your HMA to measure the current price level relative to an average price level over a specific time period.
• Plot two horizontal lines at 5 (Top Line) and -5 (Bottom Line), which will act as your extreme values for the Fisher Transform.
• Enter a long position when the Fisher Transform crosses above the zero line or crosses above the Bottom Line (when set in the inputs).
• Enter a short position when the Fisher Transform crosses below the zero line or crosses below the Top Line (when set in the inputs).
• Enhance your signal by confirming the direction of the HMA (up or down) and the CCI (above or below its previous value).
• Close positions when the Fisher Transform crosses in the opposite direction of your open trade or the Hull Moving Average changes direction, depending on your preset conditions.

To enhance the 'Hull Fisher' strategy in manual trading on TradingView, focus on optimizing the indicator settings, tightening the entry and exit rules, and integrating supplemental analysis to refine signals. Here is a structured plan to improve the strategy:

• Adjust Indicator Settings: Start by calibrating the Hull Moving Average (HMA) and Fisher Transform period settings based on historical performance for your specific trading instrument and time frame. A shorter period may provide earlier signals but can increase the number of false positives, while a longer period might smooth out noise at the expense of entry timing.
• Refine Fisher Transform Application: Test various high and low values for the Fisher Transform to find the optimum levels that correlate with reversals specific to the asset you're trading. Standard boundaries may need adjustment considering the volatility and price range of the instrument.
• Incorporate Multi-Time Frame Analysis: Enhance the precision by analyzing multiple time frames. Use a higher time frame to establish the overall market trend and trade in its direction on a lower time frame. This can add conviction to the signals received from the Fisher Transform and HMA crossovers.
• Enhance CCI Utilization: Rather than just noting whether the CCI is above or below its previous value, consider incorporating the 100/-100 levels which traditionally indicate overbought or oversold conditions. This may help to avoid entries in overextended price moves.
• Tighten Entry Conditions: Use additional price action techniques, such as support/resistance levels, chart patterns, or candlestick formations, to validate or dismiss a signal offered by the Fisher Transform and CCI crossover. This could also help in pinpointing more precise entry points.
• Improve Risk Management: Define strict stop-loss rules based on volatility measures like the Average True Range (ATR) or a fixed percentage of your account to protect from significant adverse moves.
• Proactive Trade Management: Trailing stops could be beneficial to lock in profits as the price moves favorably. Alternatively, use a scaling strategy to add to profitable positions or take partial profits at predetermined levels.
• Regular Strategy Review: Periodically review the strategy's performance under varying market conditions to identify the need for further adjustments or to switch to alternative strategies in case of consistent underperformance.

This strategy is ideal for traders who thrive on technical analysis and favor a systematic, indicator-based approach to trading. It is particularly well-suited for:

• Day and Swing Traders: The flexibility to apply this strategy to any time frame makes it adaptable for both day trading, where trades are exited before the market close, and swing trading, which spans several days or weeks.
• Adaptive Traders: Traders who prefer a customizable setup will appreciate the ability to toggle components like CCI or HMA on and off, allowing for a tailored experience based on market conditions or personal preferences.
• Cryptocurrency Enthusiasts: Given the strategy's inclusion of typical crypto exchange commission settings, it is well-aligned with the volatility and trade frequency seen in cryptocurrency markets, although it can be adjusted for other assets like forex.
• Trend Followers: The inclusion of HMA provides a solid foundation for those who trade in the direction of the predominant market trend.

• Core Concept: Utilizes Fisher Transform on Hull Moving Average extremes, with optional Commodity Channel Index (CCI) for entry and exit signals.
• Indicator Based: Automatic trade signals generated from the crossovers of the Fisher line, with settings to toggle the influence of CCI or HMA.
• Flexibility in Use: Can be executed automatically via script, set up alerts on TradingView, or conducted manually after thorough analysis.
• Customizable Settings: Traders can optimize periods and thresholds of HMA and Fisher Transform for different markets and assets.
• Time Frame Adaptability: Suitable for any time frame, fitting various trading styles including day trading and swing trading.
• Trend-Focused: The HMA element caters to traders looking to capture trend momentum and potential reversals.
• Risk Management: Use of stop-loss levels based on indicators such as ATR or fixed percentages, with review intervals to adjust strategy performance.
• Enhancement Strategy: Integrate additional technical analysis for validation, adjust entry/exit points, and manage trades proactively to improve potential outcomes.
• Trader Type: Suitable for technical traders, adaptable traders, cryptocurrency enthusiasts, and trend followers.