Canlicapital — Data skill for Claude Code
canli-mcp: 306 free finance tools for Claude and any MCP client, behind three (SEC filings, insider trades, 13F and 13D/G holders, options, FOMC, macro data, quant analytics, backtest validation).
How to install Canlicapital
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open arhancanli/canlicapital and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Canlicapital does
canli-mcp: 306 free finance tools for Claude and any MCP client, behind three (SEC filings, insider trades, 13F and 13D/G holders, options, FOMC, macro data, quant analytics, backtest validation). MIT, no API key, runs locally. Plus Canli Capital's open quant research, where every number links to its source file.
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README
Canli Capital
**Open quant research where every published number comes with the file that produced it, including the strategies that failed.** Live at **[canlicapital.com](https://canlicapital.com)**.
[](https://www.npmjs.com/package/canli-validation-mcp) [](https://www.npmjs.com/package/canli-fundamentals-mcp) [](https://www.npmjs.com/package/canli-research-mcp) [](https://glama.ai/mcp/servers/arhancanli/canli-validation-mcp) [](https://scorecard.dev/viewer/?uri=github.com/arhancanli/canlicapital) [](LICENSE) [](LICENSE-DATA.md)

Try it in a minute
# Ask your AI assistant whether a backtest is real (Claude Code shown; Cursor, VS Code and
# Claude Desktop setups are in mcp/README.md)
claude mcp add canli -- npx -y canli-validation-mcp
# Or call the free API: get a key, then deflate a Sharpe ratio for the number of trials you ran
curl -X POST https://canlicapital.com/api/v1/keys -H "Content-Type: application/json" -d '{"label":"readme"}'
# Or check the published record yourself (Python 3)
pip install cryptography
curl -sO https://canlicapital.com/glassbox/reproduce.py
for f in capacity_commitment founder_commitment; do curl -sO https://canlicapital.com/glassbox/$f.json; done
python3 reproduce.py --dir .
What is here
- Backtest validators (deflated Sharpe, CSCV overfitting probability, minimum track record, hair
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