StockSharp.Strategies.0305_RSI_Dynamic_Overbought_Oversold.py

RSI Dynamic Overbought Oversold (Python Version)

The RSI Dynamic Overbought Oversold strategy is built around RSI with dynamic overbought/oversold levels.

Testing indicates an average annual return of about 178%. It performs best in the stocks market.

Signals trigger when Overbought confirms trend changes on intraday (5m) data. This makes the method suitable for active traders.

Stops rely on ATR multiples and factors like RsiPeriod, MovingAvgPeriod. Adjust these defaults to balance risk and reward.

Details

• Entry Criteria: see implementation for indicator conditions.
• Long/Short: Both directions.
• Exit Criteria: opposite signal or stop logic.
• Stops: Yes, using indicator-based calculations.
• Default Values:
  • RsiPeriod = 14
  • MovingAvgPeriod = 50
  • StdDevMultiplier = 2.0m
  • StopLossPercent = 2.0m
  • CandleType = TimeSpan.FromMinutes(5).TimeFrame()
• Filters:
  • Category: Trend following
  • Direction: Both
  • Indicators: Overbought, Oversold
  • Stops: Yes
  • Complexity: Intermediate
  • Timeframe: Intraday (5m)
  • Seasonality: No
  • Neural Networks: No
  • Divergence: No
  • Risk Level: Medium