"author:arhancanli" matching MCP servers:

Enables agents and users to explore 117 open benchmark problems, check candidate certificates against exact offline sandboxed checkers, compare values to best-known records, and retrieve verified results, replays, and citations. Every check yields a verdict and exact value, never an estimate.

Enables local, keyless quantitative finance analysis across performance and risk, options and exotics, fixed income, portfolio construction, econometrics, technical indicators, strategy backtests, and data/ML labeling on user-supplied data without network calls.

Enables AI agents to build point-in-time factors from SEC filings and run cross-sectional signal backtests on locally supplied prices, with lookahead blocked in code, costs and market impact charged on real trades, crisis and out-of-sample checks, and every variant logged so the best run is judged against the whole search.