StockSharp.Strategies.0453_Vela_Superada.py
5.0.0
Prefix Reserved
dotnet add package StockSharp.Strategies.0453_Vela_Superada.py --version 5.0.0
NuGet\Install-Package StockSharp.Strategies.0453_Vela_Superada.py -Version 5.0.0
<PackageReference Include="StockSharp.Strategies.0453_Vela_Superada.py" Version="5.0.0" />
<PackageVersion Include="StockSharp.Strategies.0453_Vela_Superada.py" Version="5.0.0" />
<PackageReference Include="StockSharp.Strategies.0453_Vela_Superada.py" />
paket add StockSharp.Strategies.0453_Vela_Superada.py --version 5.0.0
#r "nuget: StockSharp.Strategies.0453_Vela_Superada.py, 5.0.0"
#:package StockSharp.Strategies.0453_Vela_Superada.py@5.0.0
#addin nuget:?package=StockSharp.Strategies.0453_Vela_Superada.py&version=5.0.0
#tool nuget:?package=StockSharp.Strategies.0453_Vela_Superada.py&version=5.0.0
Vela Superada Strategy (Python Version)
The Vela Superada strategy trades a two-candle reversal pattern. A bullish setup occurs when a bearish candle is immediately followed by a bullish candle that closes above the prior open. Trades are filtered with a short-term EMA, RSI and MACD trend to avoid counter-trend signals. Both long and short sides can be enabled.
The strategy employs percentage-based take profit and stop loss levels and dynamically tightens a trailing stop once price moves favorably. This allows capturing extended moves while protecting against reversals.
Details
- Entry Criteria:
- Long: Previous candle bearish, current bullish, close and previous close above EMA, RSI < 65, MACD rising.
- Short: Previous candle bullish, current bearish, close and previous close below EMA, RSI > 35, MACD falling.
- Long/Short: Configurable (long by default).
- Exit Criteria:
- Trailing stop or opposite signal.
- Stops: Percent-based stop loss and take profit.
- Default Values:
EmaLength
= 10RsiLength
= 14ShowLong
= TrueShowShort
= FalseTpPercent
= 1.2SlPercent
= 1.8
- Filters:
- Category: Pattern + indicators
- Direction: Both
- Indicators: EMA, RSI, MACD
- Stops: Yes
- Complexity: Medium
- Timeframe: Any
- Seasonality: No
- Neural networks: No
- Divergence: Yes
- 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
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Version | Downloads | Last Updated |
---|---|---|
5.0.0 | 233 | 8/7/2025 |
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