Live trading
Promote a trained model to a live deployment. Your agent runs in the cloud on a schedule and executes real-time market orders—no local setup.
Promote to live
Choose a trained model and create a live trading deployment. Link a broker account; timeframe and universe come from your experiment.
From an experiment overview, select a model (e.g. best run or a specific checkpoint), pick a broker account, and create a deployment. Timeframe and symbols are read from the experiment so training and live stay aligned.
Agent runs in the cloud
The platform runs your agent on a schedule aligned to your timeframe. It fetches data, runs inference, and executes market orders—no local setup.
Deployments are executed in the cloud on a schedule (e.g. once per day for daily bars, or at intraday cadence during market hours). The runner fetches the latest candles, runs your model, and places market orders via your broker. You don’t need to host or maintain the execution environment.
One broker for data and execution
Training and live trading both use the same broker. Data and execution stay consistent; no fragmented pipelines.
Experiments are configured with a broker account for OHLCV data. The same broker account is used for live deployments when the agent places orders. One connection, one source of truth for market data and execution.