Multi-Strategy Trading System Deployment

The client had a working strategy on paper but no production system to run it. They needed live market data, order routing, risk limits that actually trip before losses pile up, and a dashboard they could trust at 3am. They'd tried a couple of off-the-shelf bots first. Both broke under load and had no visibility into why trades did or didn't fire.

We built the whole thing in-house. The core is a Python execution engine pulling from exchange WebSocket feeds, routing orders through the REST API, and persisting every signal, fill, and rejection to Postgres. On top of that sits a Node.js dashboard showing live positions, P&L, and per-strategy performance. Risk controls are not an afterthought — position sizing, hard stop-loss, and a kill switch are wired into the order path itself, not just the UI. Strategies are configurable without redeploying, so the client can tune parameters in hours instead of waiting on a dev cycle.

Average order latency under 12ms. Zero unplanned downtime since launch. Multiple strategies running concurrently on live accounts, with full audit logs and alerting on anything that drifts from expected behavior. The client now runs configuration changes themselves — we built the system, then got out of the way.