RSI Dynamic Overbought Oversold (Python)

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

• 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