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BTC Orderbook Microstructure Research

Market & alternative data★ 9 GitHub starsJupyter Notebook⏱ No commits in over six months

Notebook study of one Bitcoin order book

What it is

A set of Jupyter notebooks that studies a Binance BTC/USDT limit order book through order-book imbalance, cumulative volume delta, and quoted spread. A Parquet loader flags coverage gaps, and the notebooks measure how fast imbalance fades, whether aggressive flow leads or lags the mid price, and how tight the spread stays through the session. Microstructure researchers who want a worked example on a single crypto pair can rerun the notebooks or read the saved figures and a shorter sample extract. The series is one market window with long missing stretches, so gap-aware cuts are required before rolling statistics, and it is not a live feed or a trading library.

At a glance

Research onlyOur rating, based on popularity, maintenance and how ready it is for real use.

Best forProfessional quants
Used forData analysis, Strategy research
MarketsCrypto
StackPython / Jupyter
Learning curveModerate learning curve
Practical valueLow practical value
CostFree and open source
HardwareNo GPU needed
MaintenanceNo commits in over six months

GitHub stars, last 30 days

Daily snapshots since 2026-09-28 (up to 30 days): 0 over the period, now 9. Gaps mean no snapshot was taken that day.

In the author's words

statistical analysis of Binance BTC/USDT orderbook: OBI, CVD, spread.

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