Donchian Rsi Strategy (Python)
Get Started
No framework information available.
README
Donchian Rsi Strategy (Python Version)
Strategy combining Donchian Channels and RSI indicators. Buys on Donchian breakouts when RSI confirms trend is not overextended.
Testing indicates an average annual return of about 55%. It performs best in the stocks market.
Donchian channels identify breakout levels, while RSI checks whether momentum supports the move. Positions follow when a breakout aligns with RSI direction.
Best for traders expecting a sustained breakout rather than a fakeout. Risk is limited through an ATR stop.
Details
- Entry Criteria:
- Long:
Close > DonchianHigh && RSI < RsiOversoldLevel - Short:
Close < DonchianLow && RSI > RsiOverboughtLevel
- Long:
- Long/Short: Both
- Exit Criteria:
- Breakout failure or opposite signal
- Stops: Percent-based using
StopLossPercent - Default Values:
DonchianPeriod= 20RsiPeriod= 14RsiOverboughtLevel= 70mRsiOversoldLevel= 30mStopLossPercent= 2.0mCandleType= TimeSpan.FromMinutes(5).TimeFrame()
- Filters:
- Category: Breakout
- Direction: Both
- Indicators: Donchian Channel, RSI
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Mid-term
- Seasonality: No
- Neural Networks: No
- Divergence: No
- Risk Level: Medium
Downloads by Version
Similar & Alternative Packages
Hand-picked matching NuGet libraries based on tags & ecosystem
Depended On By
Find packages that declare this package as a dependency. NuGet does not provide a reverse-dependency endpoint, so candidates are checked on demand.
Adoption Assessment
A verified publisher signal is available. Assess fit from the package's supported frameworks, license and dependency graph rather than popularity alone.
Related Guides & Workflows
Learn how to evaluate, integrate, or audit this package in your .NET project.