Skip to content

Deployment

Algo.Py offers an intuitive one‑click deployment system for live trading.

One‑Click Deployment Workflow

  1. Backtest and Save:
    Run and save your backtest to capture the strategy’s configuration and performance metrics.

  2. Navigate to the Deployment Dashboard:
    Open the Strategy Deployment page in the Streamlit dashboard.

  3. Load a Backtest (Optional):
    Use the Load Backtest button to auto‑populate deployment settings from a saved backtest.

  4. Configure Deployment Settings:

  5. Scheduler:

    • Fixed Interval: Set the run interval (in minutes).
    • Specific Time: Choose an execution time (with timezone).

  6. OMS (Order Management System):
    Select your OMS (e.g., Telegram, Zerodha, or Binance) and provide the required credentials.

  7. Additional Settings:
    Set initial cash, start date, trade size, cash sharing, and partial order options.

  8. Deploy:
    Click the Deploy Strategy button. A new process is spawned to handle live execution, and you can monitor its status, logs, and performance via the dashboard.

Behind the Scenes

  • A dedicated process is launched for deployment.
  • The saved configuration is loaded and the OMS is initialized.
  • A scheduler triggers data fetching, signal generation, and order execution.
  • Deployment status and logs are continuously updated.