Skip to main content
Total Downloads
1.5K
1,527
Published
Aug 7, 2025
1y ago

Get Started

dotnet add package StockSharp.Strategies.0200_Ichimoku_ADX.py --version 5.0.1

No framework information available.

README

Ichimoku Adx Strategy (Python Version)

Strategy based on Ichimoku Cloud and ADX indicators. Entry criteria: Long: Price > Kumo (cloud) && Tenkan > Kijun && ADX > 25 (uptrend with strong movement) Short: Price < Kumo (cloud) && Tenkan < Kijun && ADX > 25 (downtrend with strong movement) Exit criteria: Long: Price < Kumo (price falls below cloud) Short: Price > Kumo (price rises above cloud)

Testing indicates an average annual return of about 187%. It performs best in the stocks market.

This strategy blends Ichimoku Cloud signals with ADX to filter for powerful trends. Trades occur when price breaks above or below the cloud with ADX confirming.

It favors traders who prefer structured trend setups. ATR-defined stops defend against adverse swings.

Details

  • Entry Criteria:
    • Long: Price > Cloud && Tenkan > Kijun && ADX > AdxThreshold
    • Short: Price < Cloud && Tenkan < Kijun && ADX > AdxThreshold
  • Long/Short: Both
  • Exit Criteria:
    • Price crosses the cloud opposite
  • Stops: Uses Ichimoku cloud for trailing stop
  • Default Values:
    • TenkanPeriod = 9
    • KijunPeriod = 26
    • SenkouSpanBPeriod = 52
    • AdxPeriod = 14
    • AdxThreshold = 25m
    • CandleType = TimeSpan.FromMinutes(15).TimeFrame()
  • Filters:
    • Category: Trend
    • Direction: Both
    • Indicators: Ichimoku Cloud, ADX
    • Stops: Yes
    • Complexity: Intermediate
    • Timeframe: Mid-term
    • Seasonality: No
    • Neural Networks: No
    • Divergence: No
    • Risk Level: Medium

Downloads by Version

Similar & Alternative Packages

Hand-picked matching NuGet libraries based on tags & ecosystem

Depended On By

Find packages that declare this package as a dependency. NuGet does not provide a reverse-dependency endpoint, so candidates are checked on demand.

Adoption Assessment

A verified publisher signal is available. Assess fit from the package's supported frameworks, license and dependency graph rather than popularity alone.

No SPDX license expression is published. Review the license text and your organisation's policy before redistribution.No target framework metadata is available. Confirm compatibility in a representative project before standardising on this package.

Related Guides & Workflows

Learn how to evaluate, integrate, or audit this package in your .NET project.