Backtest Expert

🌐Community
by nicepkg Β· vlatest Β· Repository

The Backtest Expert analyzes trading strategies against historical data to assess their profitability and risk, optimizing investment decisions.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add nicepkg-backtest-expert npx -- -y @trustedskills/nicepkg-backtest-expert
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "nicepkg-backtest-expert": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/nicepkg-backtest-expert"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The Backtest Expert skill provides a systematic methodology for analyzing trading strategies against historical data, prioritizing robustness over simply maximizing paper profits. It guides users through a rigorous backtesting process that includes hypothesis definition, rule-based coding of strategy logic, stress testing parameters and execution conditions, and out-of-sample validation to assess real-world viability. The goal is to identify strategies that perform consistently well under pessimistic conditions, increasing the likelihood of success in live trading.

When to use it

  • Developing or validating systematic trading strategies
  • Evaluating a trading idea's robustness before live implementation
  • Troubleshooting misleading backtest results
  • Learning proper backtesting methodology and avoiding common pitfalls like curve-fitting and look-ahead bias
  • Assessing how sensitive a strategy is to parameter changes and market conditions

Key capabilities

  • Hypothesis Definition: Guides users in clearly articulating the trading edge.
  • Rule-Based Coding: Enforces complete specificity and eliminates subjective judgment when defining entry, exit, position sizing, filters, and universe criteria.
  • Stress Testing: Facilitates testing parameter sensitivity (stop loss, profit target, timing) and execution friction (slippage, order rejections).
  • Time Robustness Analysis: Enables assessment of year-by-year performance and regime dependence.
  • Sample Size Validation: Provides guidelines for ensuring sufficient trade volume for reliable results.
  • Out-of-Sample Validation: Supports walk-forward analysis to optimize on one period and test on another.

Example prompts

  • "Help me define a hypothesis for a trading strategy based on stocks gapping up on earnings."
  • "What are the key considerations when stress testing my backtest for parameter sensitivity?"
  • β€œGuide me through setting up a walk-forward analysis to validate this trading strategy.”

Tips & gotchas

  • Clear Hypothesis is Key: The skill emphasizes defining your trading edge in a single, clear sentence before proceeding.
  • Rule-Based Only: All aspects of the strategy (entry, exit, position sizing) must be defined with unambiguous rules – no subjective judgment allowed.
  • Stress Testing is Crucial: Allocate most of your testing time to stress testing parameters and execution conditions.

Tags

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Details

Version
vlatest
License
Author
nicepkg
Installs
45

🌐 Community

Passed automated security scans.