Keltner Rsi Strategy (Python)

Strategy combining Keltner Channels and RSI indicators. Looks for mean reversion opportunities when price touches channel boundaries and RSI confirms oversold/overbought conditions. Keltner Channels map recent volatility while RSI measures momentum extremes. Entries occur when RSI supports a move beyond the channel. Great for bounce traders around volatility envelopes. Stops rely on an ATR multiplier.

• Entry Criteria:

• Long: Close < LowerBand && RSI < RsiOversoldLevel

• Short: Close > UpperBand && RSI > RsiOverboughtLevel []Long/Short: Both []Exit Criteria:

• Price returns to EMA []Stops: Percent-based using StopLossPercent []Default Values:

• EmaPeriod = 20

• AtrPeriod = 14

• AtrMultiplier = 2.0m

• RsiPeriod = 14

• RsiOverboughtLevel = 70m

• RsiOversoldLevel = 30m

• StopLossPercent = 2.0m

• CandleType = TimeSpan.FromMinutes(5).TimeFrame() [*]Filters:

• Category: Mean reversion

• Direction: Both

• Indicators: Keltner Channel, RSI

• Stops: Yes

• Complexity: Intermediate

• Timeframe: Mid-term

• Seasonality: No

• Neural Networks: No

• Divergence: No

• Risk Level: Medium