Execution cost is not constant through the day. Spreads widen, depth thins, and order flow turns adverse together around stressed periods. For a moderate-frequency order, when you execute can matter more than shaving microseconds off the route. This notebook measures when liquidity is deep, spreads are narrow, and flow is least toxic, then ranks the hours by modelled execution cost and cross-checks that ranking against measured slippage.
Pre-executed results — free to run on preview data, or use the CLI with DEMO-KEY.
Browse the catalog and pull point-in-time microstructure metrics — no L2 reconstruction, no tick archive to maintain.
Every notebook runs end to end on preview data with a free account, in the browser or through the CLI.
Swap the preview key for your own and the same code pulls the full history through the Python package or the API.
Know when liquidity is deep, when spreads are wide, and when flow turns toxic.
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