StockSharp.Strategies.0002_NDay_Breakout.py
5.0.1
Prefix Reserved
dotnet add package StockSharp.Strategies.0002_NDay_Breakout.py --version 5.0.1
NuGet\Install-Package StockSharp.Strategies.0002_NDay_Breakout.py -Version 5.0.1
<PackageReference Include="StockSharp.Strategies.0002_NDay_Breakout.py" Version="5.0.1" />
<PackageVersion Include="StockSharp.Strategies.0002_NDay_Breakout.py" Version="5.0.1" />
<PackageReference Include="StockSharp.Strategies.0002_NDay_Breakout.py" />
paket add StockSharp.Strategies.0002_NDay_Breakout.py --version 5.0.1
#r "nuget: StockSharp.Strategies.0002_NDay_Breakout.py, 5.0.1"
#:package StockSharp.Strategies.0002_NDay_Breakout.py@5.0.1
#addin nuget:?package=StockSharp.Strategies.0002_NDay_Breakout.py&version=5.0.1
#tool nuget:?package=StockSharp.Strategies.0002_NDay_Breakout.py&version=5.0.1
NDay Breakout (Python Version)
N-day high/low breakout strategy N-day breakout looks for new highs or lows over the given period. Entries occur when price pierces the latest N-day high or low, anticipating momentum. A moving-average filter and percentage stop manage exits.
Testing indicates an average annual return of about 43%. It performs best in the stocks market.
By waiting for the prior extreme to break, the system attempts to catch the start of a directional move. Filtering by a trend-following average helps avoid false signals that arise during consolidation.
Details
- Entry Criteria: Signals based on MA.
- Long/Short: Both directions.
- Exit Criteria: Opposite signal or stop.
- Stops: Yes.
- Default Values:
LookbackPeriod
= 20MaPeriod
= 20StopLossPercent
= 2.0mCandleType
= TimeSpan.FromDays(1)
- Filters:
- Category: Breakout
- Direction: Both
- Indicators: MA
- Stops: Yes
- Complexity: Basic
- Timeframe: Daily
- 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.
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Move reset logic to OnReseted in initial strategies