QuantWright

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as com.quantwright/agent-api and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

If this is your server, claim the listing to edit it and take ownership. The registry index lists everything else still awaiting a probe.

Tools this endpoint exposes

Read directly from the endpoint on 29 Oct 2026. Not supplied by the maker.

• describe_data

  Start 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) and runs backtests on it, so no price da

• create_study

  Opens 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, that no run tests except run_held_out_tes

• run_backtest

  Backtests 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 evaluate a trading rule or strategy, inste

• get_result

  Reads 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 version). A run comes with its trades, a pag

• run_held_out_test

  The 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 first held-out test per account and market is

• compare_trades

  Checks 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 and, if not, why (already in a trade, no