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How Crypto Volatility, Volume, and Returns Vary by Trading Hours

Article Amberdata research

Summary

This report compares BTC/USDT activity on Binance across regional market-hour windows, using return standard deviation, hourly volume, average returns, cumulative log returns, and Garman-Klass volatility. It reports that US and European hours generally coincide with greater volatility and volume, while Asian windows often show lower activity or different volatility patterns. The analysis also identifies particular UTC hours with elevated or subdued volatility and compares results across a longer sample and 2023. Its central practical implication is that regional schedules may help traders reason about liquidity and intraday risk, rather than treating crypto’s continuous market as uniform.

The findings are descriptive and do not establish a profitable time-based strategy. The study covers one exchange and one trading pair, uses regional exchange hours as proxies rather than identifying traders’ locations, and acknowledges overlapping sessions and external market events. The observed patterns vary across periods and measures, so they may not persist or generalize to other assets and venues. The report provides no controlled test of execution costs or risk-adjusted trading outcomes.

Key ideas

  • The analysis measures BTC/USDT intraday patterns using volatility, volume, hourly returns, cumulative log returns, and Garman-Klass ranges.
  • US and European market windows generally align with higher volume and volatility in the reported samples.
  • Asian market hours show distinct patterns, including periods of lower activity and varied volatility.
  • The analysis is limited to Binance BTC/USDT and uses regional trading hours as proxies, not trader-location data.
  • Observed time-of-day differences are descriptive and do not demonstrate that a trading strategy will be profitable.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.