Enables quant research, strategy generation, backtesting, and paper trading from natural language prompts, integrating with AI agents via an MCP server.
Enables AI agents to conduct cited equity research with independent committee views, reproducible backtests, and a locally stored, auditable track record through five MCP tools.
Enables AI agents to perform quantitative research and backtesting for China A-shares and futures, including data fetching, backtesting, factor analysis, and experiment tracking through MCP tools.
Enables AI assistants in MCP clients to query real-time market data, inspect portfolio and Web3 wallet balances across brokers, place protected equity/ETF, crypto, forex, options, DeFi swap, and prediction market orders, and run backtests.
Enables AI-driven quant research by exposing backtesting, portfolio optimization, and performance analytics tools through MCP, allowing iterative strategy refinement with built-in overfitting guardrails.
A quantitative research MCP server that lets AI agents submit plugin-based tasks for factor analysis, model training, and backtesting. Agents can inspect task status, logs, artifacts, and lineage through a shared research runtime.