Strategy Overview
Indicators Used:
Relative Strength Index (RSI): This momentum oscillator measures the speed and change of price movements. It helps identify overbought or oversold conditions in the market.
Fibonacci Retracement Levels: These levels help identify potential support and resistance areas based on the Fibonacci sequence. You focus specifically on the 50% retracement level for your entries.
Entry Criteria:
Trendline Break with Divergence: The strategy involves identifying trendlines that have at least three touchpoints. A trendline break indicates a potential change in price direction.
RSI Confirmation: An entry is triggered when the RSI indicates an oversold condition (crossing above a certain level) for long trades, or an overbought condition (crossing below a certain level) for short trades.
Fibonacci Touch: A rejection candle wick must touch the 50% Fibonacci retracement level, confirming the trade setup.
Exit Criteria:
Risk-to-Reward Ratio: The strategy employs a 1:3 risk-to-reward ratio for exit points.
Multiple Exit Targets:
First Target: When the first target is hit, 50% of the position is closed, and the stop-loss is moved to breakeven.
Second Target: When the second target is reached, 25% of the remaining position is closed.
Third Target: The final target closes the remaining position.
Risk Management:
Stop-Loss Placement: Stop-loss orders are set according to the defined risk-to-reward ratio, utilizing the ATR (Average True Range) for volatility-based placement.
The stop-loss is adjusted to breakeven once the first target is hit, ensuring that no losses are incurred on the trade after that point.
Advantages of Your Strategy
Structured Approach: By combining RSI and Fibonacci retracement with clear entry and exit criteria, the strategy provides a well-defined trading plan.
Risk Management: The strategy emphasizes risk management by using a calculated approach to stop-loss and take-profit levels, helping to preserve capital.
Adaptability: The use of ATR allows for flexibility in trade execution based on market conditions, making the strategy adaptable to different volatility environments.
Potential Considerations
Market Conditions: The strategy may perform better in trending markets compared to sideways or choppy conditions. Backtesting in various market scenarios can help evaluate its robustness.
Divergence Detection: Implementing additional logic to detect divergences can enhance the entry criteria and improve the accuracy of the strategy.
Execution Timing: Consideration for the timing of entries and exits, such as during high volatility or news events, can further refine the strategy.
This strategy leverages both technical indicators and risk management principles, aiming to capture profitable trades while minimizing risk. Let me know if you need further insights or modifications!