com.quantwright/agent-api
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Publisher-provided title
QuantWright
Publisher-provided description
Backtests with costs, a held-out test that counts once, a score that counts every version tried.
Summary by lookupd
Backtests trading rules on stock, crypto, FX and gold price history, checks trades against rules, and reads results with a single held-out…
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http agent-api https://quantwright.com/api/mcp
Codex, remote (streamable-http)
codex mcp add agent-api --url https://quantwright.com/api/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"agent-api": {
"url": "https://quantwright.com/api/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (6 tools)
Publisher-provided text
describe_dataStart here to backtest a trading idea. This server holds the price history (US stocks and ETFs, spot crypto, FX, spot gold and silver; daily and intraday bars)create_studyOpens a study, the named set of runs every backtest belongs to: call it once per question, before run_backtest. Can set a hold-out period, once and only here, trun_backtestBacktests a trading rule on this server's price history: one backtesting.py Strategy class, one symbol, one bar size, in a study. Use it to test, backtest or evget_resultReads a backtest result by its run_id (when run_backtest answered "running", call this until the run ends), or a study's runs by study_id (one of them with versrun_held_out_testThe final out-of-sample check: runs a finished run's exact code once over its study's hold-out period. Call it at the end, on the run you would keep: the firstcompare_tradesChecks a trader's own trades against a run's rule, on the price history this server holds: for each trade, in their order, whether the rule would have taken it
Details
- Version: 1.0.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 859 ms
- First indexed:
- Last seen in registry:
- Website: https://quantwright.com/docs/agent-api
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