StockSharp.Strategies.0144_Hull_MA_Volume.py
5.0.0
Prefix Reserved
dotnet add package StockSharp.Strategies.0144_Hull_MA_Volume.py --version 5.0.0
NuGet\Install-Package StockSharp.Strategies.0144_Hull_MA_Volume.py -Version 5.0.0
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<PackageReference Include="StockSharp.Strategies.0144_Hull_MA_Volume.py" Version="5.0.0" />
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<PackageVersion Include="StockSharp.Strategies.0144_Hull_MA_Volume.py" Version="5.0.0" />
<PackageReference Include="StockSharp.Strategies.0144_Hull_MA_Volume.py" />
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paket add StockSharp.Strategies.0144_Hull_MA_Volume.py --version 5.0.0
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#r "nuget: StockSharp.Strategies.0144_Hull_MA_Volume.py, 5.0.0"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
#:package StockSharp.Strategies.0144_Hull_MA_Volume.py@5.0.0
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#addin nuget:?package=StockSharp.Strategies.0144_Hull_MA_Volume.py&version=5.0.0
#tool nuget:?package=StockSharp.Strategies.0144_Hull_MA_Volume.py&version=5.0.0
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Hull Ma Volume Strategy (Python Version)
Strategy that uses Hull Moving Average for trend direction and volume confirmation for trade entries.
The Hull moving average smooths out noise, and rising volume confirms conviction. Entries occur when price moves with the Hull slope backed by a volume surge.
This method targets traders watching for strong participation on breakouts. ATR-based stops defend against sudden reversals.
Details
- Entry Criteria:
- Long:
HullMA(t) > HullMA(t-1) && Volume > AvgVolume * VolumeMultiplier
- Short:
HullMA(t) < HullMA(t-1) && Volume > AvgVolume * VolumeMultiplier
- Long:
- Long/Short: Both
- Exit Criteria:
- Long:
HullMA(t) < HullMA(t-1)
- Short:
HullMA(t) > HullMA(t-1)
- Long:
- Stops:
StopLossAtr
ATR from entry - Default Values:
HullPeriod
= 9VolumePeriod
= 20VolumeMultiplier
= 1.5mStopLossAtr
= 2.0mAtrPeriod
= 14CandleType
= TimeSpan.FromMinutes(5).TimeFrame()
- Filters:
- Category: Breakout
- Direction: Both
- Indicators: Hull MA, Moving Average, Volume
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Mid-term
- Seasonality: No
- Neural Networks: No
- Divergence: No
- Risk Level: Medium
There are no supported framework assets in this package.
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
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Version | Downloads | Last Updated |
---|---|---|
5.0.0 | 64 | 7/19/2025 |