Backtest Expert
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating…
Runs a declarative strategy spec over OHLCV bars with the manifoldbt Rust engine, pairs the fill log into round trips, and emits the eight inputs the backtest-expert skill scores. Use when the user wants to execute a backtest, measure a rule they have described, obtain win rate / average win / average loss / max drawdown from real bars, or feed backtest-expert with measured numbers instead of estimates.
Research and analysis tools, not financial advice. Some workflows use optional FMP, FINVIZ Elite or Alpaca accounts; the repo's five-skill starter path needs no API key. Open the repository
Run this in your project folder. It works with Claude Code, Cursor, Codex and dozens of other agents.
$ npx skills add tradermonty/claude-trading-skills --skill manifoldbt-backtesterNeeds Node.js. Add -g to install for every project, or -a claude-code to skip the agent picker.
Once it's installed, Claude reads this skill on its own whenever a request matches what it's for, so you don't have to mention it by name. In Claude Code you can also run it directly by typing /manifoldbt-backtester.
It includes scripts that Claude may run on your computer, so skim them on GitHub before you install.
Section headings from the skill's SKILL.md file.
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating…
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