Scripting V2 - Python

Market Lab provides two Python workflows.

Scripting with Jupyter Notebook

Use JupyterLab for interactive historical research, pandas or NumPy analysis, visualization, and native Market Lab studies.

mlab notebook

Market Lab injects mlab into the notebook kernel. This workflow has no script manifest, callback hooks, simulator, or live execution.

Start with Scripting with Jupyter Notebook.

Plain Python Files

Write a normal .py strategy and run it through Market Lab's sequential backtester, daemon, and execution runtime.

mlab script backtest strategy.py --from 2026-08-01 --to 2026-08-20
mlab script run strategy.py

Plain files use on_data(ctx, history), retained source history, simulated or live execution, positions, PnL, and artifacts. They require no Market Lab Python package or base class.

Start with Plain Python Files.