StockSharp.Strategies.0170_ADX_CCI.py
5.0.1
Prefix Reserved
dotnet add package StockSharp.Strategies.0170_ADX_CCI.py --version 5.0.1
NuGet\Install-Package StockSharp.Strategies.0170_ADX_CCI.py -Version 5.0.1
<PackageReference Include="StockSharp.Strategies.0170_ADX_CCI.py" Version="5.0.1" />
<PackageVersion Include="StockSharp.Strategies.0170_ADX_CCI.py" Version="5.0.1" />
<PackageReference Include="StockSharp.Strategies.0170_ADX_CCI.py" />
paket add StockSharp.Strategies.0170_ADX_CCI.py --version 5.0.1
#r "nuget: StockSharp.Strategies.0170_ADX_CCI.py, 5.0.1"
#:package StockSharp.Strategies.0170_ADX_CCI.py@5.0.1
#addin nuget:?package=StockSharp.Strategies.0170_ADX_CCI.py&version=5.0.1
#tool nuget:?package=StockSharp.Strategies.0170_ADX_CCI.py&version=5.0.1
Adx Cci Strategy (Python Version)
Strategy based on ADX and CCI indicators. Enters long when ADX > 25 and CCI is oversold (< -100) Enters short when ADX > 25 and CCI is overbought (> 100)
Testing indicates an average annual return of about 97%. It performs best in the crypto market.
ADX assesses whether a trend has strength and CCI identifies entry timing after pullbacks. Longs and shorts follow the ADX direction.
Geared toward momentum traders entering on retracements. ATR multiples manage risk.
Details
- Entry Criteria:
- Long:
ADX > 25 && CCI < -100
- Short:
ADX > 25 && CCI > 100
- Long:
- Long/Short: Both
- Exit Criteria: Trend weakens or CCI crosses zero
- Stops: Percent-based using
StopLossPercent
- Default Values:
AdxPeriod
= 14CciPeriod
= 20StopLossPercent
= 2.0mCandleType
= TimeSpan.FromMinutes(5).TimeFrame()
- Filters:
- Category: Mean reversion
- Direction: Both
- Indicators: ADX, CCI
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Mid-term
- Seasonality: No
- Neural Networks: No
- Divergence: No
- Risk Level: Medium
Learn more about Target Frameworks and .NET Standard.
This package has no dependencies.
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