Hull Suite + Stoch RSI Strategy v1.1

This trading strategy combines the Hull Moving Average (HMA) with the Stochastic RSI to generate buy and sell signals. Entry conditions are based on the HMA trend and the Stochastic RSI crossover, while the exit conditions use stop-loss and take-profit percentages.

To trade this strategy manually on TradingView:

• Apply Hull Moving Average (HMA) to the chart, and set the length according to your preference (recommended around 180-200)
• Set up the Stochastic RSI with a period of 14 and smoothing of 3 for both %K and %D lines
• For buy entries, wait until the HMA is trending up (current HMA is greater than the HMA two periods ago) and the Stochastic RSI %K crosses above %D from below the set lower threshold (default is 5)
• For sell entries, wait until the HMA is trending down (current HMA is less than the HMA two periods ago) and the Stochastic RSI %D crosses above %K from above the set upper threshold (default is 88)
• Implement a stop-loss at a set percentage below the entry price for buy orders or above the entry price for sell orders (inputted SL% in the script is 0.7%)
• Take profits at multiple levels (25%, 50%, and 100%) at increasing percentages above the entry price for buy orders or below for sell orders (inputted TP% in the script is 2.1%)

Improving the "Hull Suite + Stoch RSI Strategy v1.1" requires addressing its core components: the Hull Moving Average (HMA) for trend determination and the Stochastic RSI for entry signals. The goal is to enhance its accuracy, minimise false signals, and maximise profitability.

Adjust HMA Parameters: The HMA's length setting can be crucial in determining trend direction. Test various lengths on historical data to identify the optimal setting for the specific market's volatility and cycle length. Additionally, consider employing a dual HMA system—one for short-term trends and another for long-term trends—to balance sensitivity and lag.

Optimize Stochastic RSI Settings: The default thresholds for overbought and oversold conditions may not be the best fit for all market conditions. By analyzing the price behavior of the particular asset, fine-tune the upper and lower thresholds of the Stochastic RSI to better signal turning points.

Filter Trades: Incorporate additional filters to screen out weak signals:

• Volume Filter: Confirm entry signals with a surge in trading volume to increase the likelihood of a substantial move.
• Price Action Filter: Use candlestick patterns and support/resistance levels for additional confirmation of entries and exits.
• Multiple Time Frame Analysis: Confirm trade signals with higher time frame trends to ensure alignment with the overall market direction.

Dynamic Stop-Loss and Take-Profit: Rather than static percentages for stop-loss (SL) and take-profit (TP), employ a dynamic approach based on market conditions. Use Average True Range (ATR) to set SL/TP based on current volatility. This method adjusts risk parameters adaptively and can protect gains while allowing profitable trades to run.

Risk Management: Refine risk management rules to tailor the strategy for individual risk tolerance. This could involve adjusting position sizing, employing trailing stops, or setting a max drawdown level after which trading halts until reassessment.

Backtest Iteratively: Using TradingView's backtesting capabilities, continually assess and refine modifications. Record changes made, the rationale behind them, and their impact on the strategy's performance. Be systematic and avoid curve-fitting; ensure that improvements hold in both backtesting and forward-testing (paper trading).

Manual Oversight: Implement a level of manual oversight to override the system under abnormal market conditions, such as during major news events or market anomalies where technical analysis may falter.

This strategy is particularly suitable for traders who prefer a technical, systematic approach and are comfortable with day trading or swing trading. The reliance on the Hull Moving Average makes it appealing to those who aim to identify and act on trends efficiently. Its effectiveness in capturing quick shifts in momentum also makes it an excellent fit for traders aiming to capitalize on shorter-term price swings based on overbought and oversold conditions as indicated by the Stochastic RSI.

• Day Traders: With a focus on Hull Suite's trend confirmation and Stoch RSI for precise entry points, this strategy helps day traders make the most of intra-day price movements.
• Swing Traders: The incorporation of trend analysis through the HMA provides swing traders with a framework to capture larger market moves over multiple days or weeks.
• Technical Traders: Traders who base their decisions on technical indicators will find the combination of HMA for trend and Stoch RSI for timing particularly cohesive and actionable.

Strategy Essence: Combines Hull Moving Average for trend analysis and Stochastic RSI for entry points, catering to day and swing traders focusing on technical indicators.

To leverage the strategy:

• Automation: Utilize TradingView's automation features for entry and exit, based on parameters set in the script.
• Alerts: Set up TradingView alerts to notify on Hull and Stochastic RSI signal alignment for timely execution.
• Manual Trading: Apply the indicator setup manually and enter trades after additional confirmation through price action or volume analysis.
• Combination: Combine automated alerts with manual oversight to filter out false signals and adapt to market conditions.

To enhance its performance:

• Optimization: Fine-tune HMA length and Stochastic RSI thresholds through backtesting on the asset-specific historical data.
• Additional Filters: Employ volume surges, price patterns, and multi-time frame analysis to enhance signal fidelity.

Risk management improvements:

• Dynamic SL/TP: Use Average True Range (ATR) for volatility-adjusted stop-loss and take-profit levels.
• Risk Rules: Integrate customized risk rules tailored to individual risk tolerance including position sizing and trailing stops.