StockSharp.Strategies.0165_VWAP_CCI
5.0.2
Prefix Reserved
dotnet add package StockSharp.Strategies.0165_VWAP_CCI --version 5.0.2
NuGet\Install-Package StockSharp.Strategies.0165_VWAP_CCI -Version 5.0.2
<PackageReference Include="StockSharp.Strategies.0165_VWAP_CCI" Version="5.0.2" />
<PackageVersion Include="StockSharp.Strategies.0165_VWAP_CCI" Version="5.0.2" />
<PackageReference Include="StockSharp.Strategies.0165_VWAP_CCI" />
paket add StockSharp.Strategies.0165_VWAP_CCI --version 5.0.2
#r "nuget: StockSharp.Strategies.0165_VWAP_CCI, 5.0.2"
#:package StockSharp.Strategies.0165_VWAP_CCI@5.0.2
#addin nuget:?package=StockSharp.Strategies.0165_VWAP_CCI&version=5.0.2
#tool nuget:?package=StockSharp.Strategies.0165_VWAP_CCI&version=5.0.2
Vwap Cci Strategy (C# Version)
Implementation of strategy - VWAP + CCI. Buy when price is below VWAP and CCI is below -100 (oversold). Sell when price is above VWAP and CCI is above 100 (overbought).
Testing indicates an average annual return of about 82%. It performs best in the stocks market.
VWAP acts as a value benchmark, and CCI highlights momentum moves away from it. Entries favor strong CCI readings relative to VWAP.
Designed for day traders focusing on VWAP interaction. ATR stops help maintain discipline.
Details
- Entry Criteria:
- Long:
Close < VWAP && CCI < CciOversold
- Short:
Close > VWAP && CCI > CciOverbought
- Long:
- Long/Short: Both
- Exit Criteria:
- Price crosses back through VWAP
- Stops: Percent-based using
StopLoss
- Default Values:
CciPeriod
= 20CciOversold
= -100mCciOverbought
= 100mStopLoss
= new Unit(2, UnitTypes.Percent)CandleType
= TimeSpan.FromMinutes(5).TimeFrame()
- Filters:
- Category: Mean reversion
- Direction: Both
- Indicators: VWAP, 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.
NuGet packages
This package is not used by any NuGet packages.
GitHub repositories
This package is not used by any popular GitHub repositories.
Use tabs for C# strategy resets