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Use case

Execute smarter

Know when liquidity is deep, when spreads are wide, and when flow turns toxic.

Shown: the median perpetual’s book depth across the top 25 levels, as a share of its 20:00–20:45 average, per venue, 18:00–01:00 UTC on 10 Oct 2025; minutes under half of normal take the strong tone, and the lowest of all, OKX’s 8.5% at 22:06, is orange · built with l2_liquidity 1m

Featured notebook

Timing execution around liquidity

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.

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Metrics in this use case

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Related notebook

Intro to Aperiodic L1 Price Metrics

Execute smarter

This notebook explores top-of-book (L1) pricing with Aperiodic's `l1_price` metric for Binance BTC perpetuals from September 1, 2025 through February 28, 2026 at 5-minute granularity.

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Execute smarter

Know when liquidity is deep, when spreads are wide, and when flow turns toxic.

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Shown: minute lows of the 465 Binance perpetuals, 20:40–22:00 UTC on 10 Oct 2025, with BTC’s path traced · built with ohlcv 1m

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Shown: minute closes of 847 perpetuals, 20:30–22:30 UTC on 10 Oct 2025, IOTX in orange · built with ohlcv 1m