Hull Suite + Stoch RSI Strategy v1.1

This trading strategy involves a combination of Hull Moving Averages (HMA) and Stochastic RSI to generate long and short signals within a defined backtest period. Based on the color change of the Hull Moving Average and the Stoch RSI crossover, it sets multiple take-profit levels and a stop-loss for each trade.

To trade this strategy manually on TradingView:

• Set up a Hull Moving Average (HMA) with a length of 180. Look for crossovers between the current HMA value (HMA[0]) and the HMA value from 2 periods prior (HMA[2]).
• Apply the Stochastic RSI indicator with a %K smoothing of 3, a %D smoothing of 3, a 14 period RSI for %K and %D lines, and use the same length for Stoch RSI.
• For entry conditions on a long position, confirm that HMA[0] is greater than HMA[2] and that the Stochastic RSI %K has crossed above the %D while it is below the 5 threshold (stoch_lower_input).
• Conversely, for a short entry, HMA[0] must be below HMA[2], and the Stochastic RSI %D has crossed above the %K while it is above the 88 threshold (stoch_upper_input).
• Set your stop-loss (SL) at 0.7% below the entry price for longs, or 0.7% above for shorts. Divide your take-profit (TP) levels into three parts: 25% of the position at a 0.525% profit, another 25% at a 1.05% profit, and the rest at a full 2.1% TP level.

Improving the Hull Suite + Stoch RSI Strategy v1.1 for manual trading on TradingView requires a systematic approach that involves refining entry/exit conditions, effectively managing risk, and utilizing additional tools and analysis to better inform trading decisions. The following plan outlines steps to enhance the strategy:

• Optimize Indicator Settings: Experiment with different lengths and calculation methods for the Hull Moving Average to improve response to market condition changes. For the Stoch RSI, adjusting the %K and %D smoothing periods or the RSI period might provide more accurate signals tailored to current market volatility.
• Filter Trades with Additional Indicators: Introduce additional indicators such as the Average Directional Index (ADX) to gauge the trend's strength or Bollinger Bands for volatility analysis. Only take trades when these indicators reinforce the signals provided by the Hull Suite and Stoch RSI.
• Market Sentiment Analysis: Complement technical analysis with sentiment analysis. Monitor news, social media, and fundamental updates to assess the sentiment around the specific asset. Positive sentiment may add conviction to long entries, while negative sentiment could strengthen short entry signals.
• Risk Management: Apply a dynamic stop-loss strategy that adapts to market conditions, such as using the Average True Range (ATR) indicator to set stop-loss distances. This aligns risk levels with market volatility.
• Trade Timing: Besides looking at overbought/oversold levels, consider the time of day and trading volume when entering trades. For instance, higher volume times might offer better trade execution and stronger momentum.
• Diversification: Test and apply the strategy across multiple assets and timeframes to determine its effectiveness in various market scenarios. This diversification can serve as a hedge against market-specific risks.
• Continuous Backtesting: Regularly backtest the strategy using a variety of historical market conditions to identify potential improvements or to understand when the strategy performs best. Keep a detailed log of these backtests to track changes over time.
• Manual Oversight: While the Hull Suite and Stoch RSI provide a systematic approach, always apply manual oversight to avoid blind execution. Be prepared to override the system based on evolving market contexts and emerging price patterns.
• Exit Strategy Refinement: Consider partial profit-taking at multiple levels. Use different technical pointers, like resistance levels or RSI divergence, for more granular exits rather than a one-size-fits-all approach.

This strategy is well-suited for intra-day and swing traders who prefer technical analysis and are looking for systematic entry and exit points. Intra-day traders can leverage the Hull Suite + Stoch RSI Strategy v1.1 to capitalize on short-term price movements by following the trend's direction, while swing traders might use it to catch larger price swings over a few days or weeks. The strategy's reliance on the Hull Suite makes it particularly appealing to those who prioritize smooth trend identification, minimizing lag that can be common with other moving averages.

• Intra-day Traders: Those who execute multiple trades within a single day for quick profits can use this strategy's signals for timely entries and exits, adjusting to the strategy's best-performing time frames and volatility conditions.
• Swing Traders: Traders holding positions for several days can benefit from the trend-following nature of the Hull indicator and the precise overbought/oversold conditions identified by the Stoch RSI.

The strategy is particularly tailored for traders who prefer to trade in the direction of the current market trend and are comfortable with technical setups.

• Strategy Profile: The Hull Suite + Stoch RSI Strategy v1.1 is designed for intra-day and swing traders who rely on technical indicators to identify trends and precise market entry/exit points.
• Functioning Mechanism: It combines the Hull Moving Average for trend direction with the Stochastic RSI to pinpoint overbought or oversold conditions, guiding traders to enter or exit trades in sync with the trend.
• Manual Trading: Traders can either use automation features on TradingView or apply manual trading by plotting the Hull Moving Average and Stochastic RSI on their charts to replicate the strategy's logic.
• Optimization: Fine-tuning the Hull and Stoch RSI settings, employing additional indicators for confirmation, and conducting market sentiment analysis can enhance the strategy's effectiveness.
• Risk Management: Incorporating dynamic stop-loss levels based on volatility, utilizing Average True Range (ATR), and diversifying across assets and timeframes are crucial for risk mitigation.
• Usage Recommendations: While the automated signal provides a structured approach, traders should oversee and intervene when market conditions change or unexpected events occur.
• Exit Strategies: To maximize profits, employ tiered take-profit levels and refine exits based on technical cues beyond the initial automated signals.