Help shape the Jesse roadmap

Expose authenticated, permission-controlled MCP tools for managing Jesse live-trading sessions. Compatible AI clients could inspect session status, positions, orders, and errors, as well as start or stop sessions, with explicit confirmation for operations that could affect live trading.

Introduce reinforcement-learning support for training and evaluating Jesse strategies. Strategies could learn from market environments, test learned policies through backtesting, and eventually use those policies during live or paper trading.

Integrate third-party market-data providers so Jesse can access years of high-quality historical stock, forex, and commodity data. Users could backtest and develop strategies against those traditional markets, then run the resulting strategies live through crypto exchanges that offer them.

Add first-class support for Alpaca so Jesse strategies can execute and manage live trades through Alpaca, including order placement, cancellation, position tracking, and account synchronization for supported assets.

Add first-class support for Interactive Brokers so Jesse strategies can execute and manage live trades through IBKR, including order placement, cancellation, position tracking, and account synchronization across supported markets.

Allow a TradingView alert to call a webhook URL assigned to a Jesse strategy. The alert payload would be passed into the strategy, where you could validate the data, perform your own calculations, and decide whether Jesse should execute a trade.