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strategy-optimization

Diagnose and optimize trading strategies through a six-phase iterative workflow.

19|3|Updated Jan 7, 2026
Search Tags:#performance#optimization#strategy#risk-management#trading#backtest#regime-detection
One-click install
npx skills add https://github.com/miles990/claude-domain-skills --skill strategy-optimization
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: strategy-optimization
Source: https://github.com/miles990/claude-domain-skills/tree/main/finance/strategy-optimization/skills/strategy-optimization
Command: npx skills add https://github.com/miles990/claude-domain-skills --skill strategy-optimization

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It provides a structured, end-to-end process to identify, diagnose, and improve underperforming trading strategies through data-driven experimentation.

Core Features & Use Cases

  • Phase-driven workflow: Analyze, diagnose, research, implement, validate, and iterate to reach targets.
  • Data-backed decisions: Uses metrics like win rate, expectancy, and drawdown to guide changes.
  • Safe parameter tuning: Systematically adjust SL/TP, leverage, and thresholds with guardrails.

Quick Start

Provide your current strategy, run the ANALYZE phase on your data, and begin iterative optimizations until targets are met.

Frequently Asked Questions about strategy-optimization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I systematically optimize an underperforming trading strategy?▼

Trading strategy optimization diagnoses underperforming backtests and live trades by applying a six-phase workflow that uses quantitative metrics, risk guardrails, and comprehensive change documentation to implement iterative improvements.

What metrics are used to diagnose trading strategy performance gaps?▼

Diagnosing trading strategy performance relies on quantitative metrics like win rate, expectancy, and drawdown to evaluate data, identify gaps, and guide systematic parameter adjustments with enforced risk guardrails.

How do I safely tune trading strategy parameters like stop loss and leverage?▼

Safe parameter tuning systematically adjusts stop loss, take profit, leverage, and thresholds using enforced risk guardrails, validating changes through backtesting across market regimes before implementation.

When do I need a phase-driven workflow for backtesting and live trading?▼

You need a phase-driven workflow for backtesting and live trading when systematically identifying performance gaps across market regimes, requiring structured research, implementation, and validation to safely reach performance targets.

Can I use this strategy optimization process across different market regimes?▼

Yes, the strategy optimization process applies to backtesting and live trading across varying market regimes, using regime-detection to diagnose performance and implement iterative improvements guided by quantitative metrics.

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