Quantitative research MCP server that lets AI define strategies and uses MetaTrader 5's official Strategy Tester to execute backtests, managing experiments and results via tools like run_backtest, get_run, and compare_runs.
An MCP server that provides AI trading agents with persistent, outcome-weighted memory to learn from historical performance and detect behavioral biases. It enables agents to automatically adjust strategies and optimize position sizing based on context-aware recall of past trade outcomes.
An MCP server that exposes the Jesse algorithmic trading framework's capabilities to LLM agents for backtesting, optimization, and risk analysis. It provides 32 specialized tools for managing trading strategies and performing comprehensive market simulations via the Jesse REST API.
MCP server that exposes the Backtest360 backtesting engine API as tools, enabling AI agents to conversationally discover indicators, build and validate strategies, run backtests, and read results.
An MCP server that exposes trading analytics — technical indicators, portfolio state, risk metrics, and backtest results — as tools an LLM agent can call.
