Experiment configuration
Create experiments and configure RL environment, policy, actions, observations, and rewards. Validate before you run.
AI for Finance
TrainTestTradeReinforcement Learning agentsto trade the financial market.
How we enable it
From experiment to live trading: one pipeline, one broker for data and execution.
Configure & train
Set up your experiment—environment, policy, actions, observations, rewards—and launch training runs. Track progress and metrics in real time.
Promote to live
Choose a trained model and create a live trading deployment. Link a broker account; timeframe and universe come from your experiment.
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.
What Kabu does
Train reinforcement learning trading agents and deploy them for AI trading—configuration, monitoring, and live execution in one place.
Reproducible runs
Launch training runs tied to experiments. Versioned config and execution so you can reproduce results every time.
Real-time monitoring
Watch training progress, key metrics, and failures live from the dashboard. No polling—updates stream as they happen.
Live trading deployment
Promote a trained model to a live deployment. Your agent runs in the cloud on a schedule and executes real-time market orders via your broker.
Traceable artifacts
Every run logs metrics and artifacts. Compare runs, manage models, and keep experiments auditable.
Account flexibility
Create an account through us or add external broker accounts. One broker for data and execution.