TradeMind turns "buy $500 of AAPL if it drops below 180" into a structured, priced trade proposal. The AI can only stage proposals through validated tools — nothing reaches Alpaca until you click Confirm, and deterministic guardrails run after that.
Write your strategy the way you'd explain it to a colleague. The agent turns it into concrete, symbol-level trade decisions each run.
Position size, trades per run, daily loss and long-only rules are enforced server-side. The AI can propose; only the guard can release an order.
Every decision stores its reasoning, confidence, risk verdict and resulting Alpaca order id — so you can see exactly why a trade happened.
Describe the intent in chat. The agent asks a clarifying question instead of guessing.
It calls named backend tools — account, positions, market data — then stages a proposal. It can never place an order itself.
You see symbol, size, order type, estimated cost and the agent's why. Confirm or reject.
Server-side guardrails cap order size at 10% of buying power and daily order count, then the paper order is submitted and logged.