StockSharp.Strategies.0082_Volume_Exhaustion.py
5.0.1
Prefix Reserved
dotnet add package StockSharp.Strategies.0082_Volume_Exhaustion.py --version 5.0.1
NuGet\Install-Package StockSharp.Strategies.0082_Volume_Exhaustion.py -Version 5.0.1
<PackageReference Include="StockSharp.Strategies.0082_Volume_Exhaustion.py" Version="5.0.1" />
<PackageVersion Include="StockSharp.Strategies.0082_Volume_Exhaustion.py" Version="5.0.1" />
<PackageReference Include="StockSharp.Strategies.0082_Volume_Exhaustion.py" />
paket add StockSharp.Strategies.0082_Volume_Exhaustion.py --version 5.0.1
#r "nuget: StockSharp.Strategies.0082_Volume_Exhaustion.py, 5.0.1"
#:package StockSharp.Strategies.0082_Volume_Exhaustion.py@5.0.1
#addin nuget:?package=StockSharp.Strategies.0082_Volume_Exhaustion.py&version=5.0.1
#tool nuget:?package=StockSharp.Strategies.0082_Volume_Exhaustion.py&version=5.0.1
Volume Exhaustion Strategy (Python Version)
Sharp spikes in volume often signal the end of a move as traders rush to exit or enter positions. This strategy measures current volume against an average to spot exhaustion. When combined with candle direction and a moving average filter it can pinpoint reversal entries.
Testing indicates an average annual return of about 133%. It performs best in the crypto market.
Each candle updates the average volume. If the new bar's volume exceeds this average by a set multiplier and the candle closes in the direction opposite the prevailing trend, the system enters a trade. A stop based on ATR protects the position.
The trade is typically exited via the stop-loss as the strategy anticipates a swift reversal following the volume burst.
Details
- Entry Criteria: Volume spike above average with candle opposite the trend.
- Long/Short: Both.
- Exit Criteria: Stop-loss.
- Stops: Yes, ATR based.
- Default Values:
VolumePeriod
= 20VolumeMultiplier
= 2.0MAPeriod
= 20AtrMultiplier
= 2 ATRCandleType
= 5 minute
- Filters:
- Category: Reversal
- Direction: Both
- Indicators: Volume, MA, ATR
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Intraday
- 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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Move state reset to OnReseted for strategies 81-90
Move state reset to OnReseted for strategies 81-90