alpha-decay — community alpha-decay, trading-platform, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Quantitative Trading Agents needing advanced alpha decay detection and analysis capabilities. Algotradingstudio

maminul007 maminul007
[0]
[0]
Updated: 3/5/2026

Agent Capability Analysis

The alpha-decay skill by maminul007 is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Perfect for Quantitative Trading Agents needing advanced alpha decay detection and analysis capabilities.

Core Value

Empowers agents to detect and analyze alpha decay in trading strategies using statistical methods, providing custom decay threshold and analysis period capabilities, and generating detailed decay metrics in formats like CSV or JSON.

Capabilities Granted for alpha-decay

Analyzing strategy performance over time
Detecting alpha decay in momentum-based trading strategies
Generating detailed decay metrics for portfolio optimization

! Prerequisites & Limits

  • Requires trading strategy data
  • Limited to statistical methods for analysis
  • Custom threshold and period parameters required for advanced analysis
Labs Demo

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Boot Container Sandbox

alpha-decay

Install alpha-decay, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
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Alpha Decay Detection

Detect and analyze alpha decay in trading strategies using statistical methods.

Usage

  • /alpha-decay - Check all active strategies
  • /alpha-decay --strategy momentum-001 - Analyze specific strategy
  • /alpha-decay --threshold 0.3 - Custom decay threshold
  • /alpha-decay --period 90 - Analysis period in days
  • /alpha-decay --detailed - Show detailed decay metrics

Decay Indicators

IndicatorDescriptionWarning Level
Sharpe DecayRolling Sharpe ratio decline> 30% decline
IC DecayInformation coefficient dropIC < 0.02
Hit RateWin rate degradation< 45%
CapacityReturns vs AUM correlationr < -0.3
RegimeRegime change detectionConfidence > 0.8
  • scripts/risk_management/strategy_analytics.py - AlphaDecayDetector class
  • scripts/risk_management/alpha_research.py - Signal evaluation
  • services/risk/risk_manager.py - Strategy monitoring

Instructions

When this skill is invoked:

  1. Parse arguments:

    • No args: Scan all active strategies
    • --strategy <id>: Single strategy analysis
    • --threshold: Custom decay threshold (default 0.3)
    • --period: Lookback period in days (default 60)
  2. Load strategy data:

    • Fetch returns from database/API
    • Get strategy metadata and targets
    • Load benchmark/factor returns
  3. Run decay detection:

    python
    1from risk_management.strategy_analytics import AlphaDecayDetector 2 3detector = AlphaDecayDetector( 4 decay_threshold=0.3, 5 confidence_level=0.95, 6 lookback_window=60 7) 8signals = detector.detect_decay(returns)
  4. Display decay report:

    Alpha Decay Analysis
    ═══════════════════════════════════════════════════════════
    
    Strategy: momentum-001
    Period: Last 60 days
    Status: ⚠️  WARNING - Decay signals detected
    
    DECAY SIGNALS
    ─────────────────────────────────────────────────────────
    Signal          Severity    Confidence    Description
    ─────────────────────────────────────────────────────────
    Sharpe Decay    0.65        87%          Sharpe dropped 42%
    IC Decay        0.45        72%          IC now 0.015 (was 0.04)
    Hit Rate        0.30        65%          Win rate 43% (target 52%)
    
    METRICS COMPARISON
    ─────────────────────────────────────────────────────────
    Metric          Current     Historical    Change
    ─────────────────────────────────────────────────────────
    Sharpe Ratio    0.85        1.45          -41%
    IC Mean         0.015       0.042         -64%
    Hit Rate        43%         52%           -17%
    Avg Return      0.02%       0.08%         -75%
    
    RECOMMENDATIONS
    ─────────────────────────────────────────────────────────
    1. Review regime indicators - potential regime change
    2. Check for crowding in signal factors
    3. Validate data inputs for drift
    4. Consider reducing position sizing by 50%
    
  5. For --detailed:

    • Rolling IC time series
    • Distribution shift analysis
    • Factor exposure changes
    • Correlation regime changes
  6. Severity thresholds:

    • ACTIVE: No decay (severity < 0.3)
    • WARNING: Moderate decay (0.3 <= severity < 0.6)
    • CRITICAL: Severe decay (severity >= 0.6)

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is alpha-decay?

Perfect for Quantitative Trading Agents needing advanced alpha decay detection and analysis capabilities. Algotradingstudio

How do I install alpha-decay?

Run the command: npx killer-skills add maminul007/trading-platform/alpha-decay. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for alpha-decay?

Key use cases include: Analyzing strategy performance over time, Detecting alpha decay in momentum-based trading strategies, Generating detailed decay metrics for portfolio optimization.

Which IDEs are compatible with alpha-decay?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for alpha-decay?

Requires trading strategy data. Limited to statistical methods for analysis. Custom threshold and period parameters required for advanced analysis.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add maminul007/trading-platform/alpha-decay. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use alpha-decay immediately in the current project.

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