Skip to content
TrustedSkillsbeta
Back to all skills

Backtest Expert

Checked
nicepkg·vlatest·data·MIT

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

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add nicepkg/ai-workflow --skill backtest-expert --full-depth -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

nicepkg

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned nicepkg/ai-workflow at d167b41af7.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
d167b41af7
Manifest
workflows/stock-trader-workflow/.claude/skills/backtest-expert/SKILL.md
Scanned
3 files, 672 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

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?"
  • “Guide 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.