YM Historical OHLC Data (E-mini Dow Jones Futures) — Intraday, RTH & Overnight (ET)


Data Coverage:

  • Start date: January 2014
  • End date: Present (continuously updated)
  • Trading calendar: CME equity index futures
  • Adjusted for exchange holidays and daylight saving time (DST)

Dataset Format & Structure:

YM RTH OHLC Data (Regular Trading Hours)

YM RTH OHLC data includes intraday price bars filtered strictly to Regular Trading Hours, excluding all overnight and extended Globex trading.
This view preserves the core U.S. cash-session behavior of Dow Jones futures without overnight volatility distortion.

  • Session: 09:30 – 16:15
  • Days: Monday–Friday
  • Timezone: New York time (ET, EST/EDT adjusted)

Why traders use YM RTH OHLC data

Common use cases include:

  • Initial Balance (IB) and Opening Range research
  • Intraday range and volatility studies
  • VWAP-based and mean-reversion strategies
  • Time-of-day performance analysis
  • Professional intraday backtesting workflows

YM RTH OHLC Data (Regular Trading Hours)

YM Overnight OHLC data represents price action during Electronic Trading Hours (ETH) on CME Globex, capturing market behavior outside the U.S. daytime session.

ETH Trading Hours (ET)

  • Session: 18:00 – 09:29
  • Timezone: New York time (ET)
  • Excludes: All RTH trading

Overnight session bars are assigned to the following RTH trading date, ensuring consistent alignment between ETH activity and the next U.S. session.

Why traders analyze YM overnight OHLC

Typical research applications:

  • Overnight range statistics and distribution analysis
  • Gap formation and gap-fill probability modeling
  • Asia / Europe session impact on U.S. open
  • ETH high/low interaction with the RTH open
  • Pre-market volatility and directional bias studies

YM 24-Hour Continuous OHLC Data (Globex + RTH)

YM 24-Hour Continuous OHLC data combines overnight Globex trading and Regular Trading Hours into a single uninterrupted intraday time series.

This view eliminates artificial session breaks and is designed for strategies and studies that depend on continuous market context.

Why use 24-hour continuous YM data

This dataset is commonly used for:

  • Gap research (prior session close → next session open)
  • Overnight-to-RTH transition analysis
  • Continuous intraday backtesting across sessions
  • Volatility regime detection and session comparison
  • Studying liquidity shifts around NY open and close

Unlike RTH-only datasets, the continuous view preserves true price discovery across global trading hours.

Available Intraday Timeframes

YM historical OHLC data is organized around intraday resolutions commonly used in futures research:

Related OHLC Datasets: