YM historical data: 1-minute to daily bars, 2008 to 2026

YM is the E-mini Dow futures; it tracks the Dow Jones Industrial Average. MarketParquet holds YM as a futures contract with 1-minute, 5-minute, 30-minute, 1-hour and daily OHLCV bars from 2008-01-02 to 2026-09-11 (4,717 daily bars), continuous contract, ratio-adjusted at each roll, as one Parquet file per trading day.

YM completes the US index-futures set with ES, NQ and RTY for spread and rotation backtests.

YM at a glance

InstrumentE-mini Dow futures (YM)
Asset classFutures (continuous contract)
First bar2008-01-02
Latest bar2026-09-11
Daily bars4,717
Timeframes1-minute, 5-minute, 30-minute, 1-hour, daily
Adjustmentcontinuous contract, ratio-adjusted at each roll
TimezoneUS/Eastern bar open time; intraday files include pre-market and after-hours bars where available
FormatApache Parquet, one file per trading day containing every Futures symbol

Sample: YM 30-minute bars on 2026-09-16

The first regular-session bars from the newest 30-minute file, read live from the archive. Prices are the values as published; the full session has many more rows.

timestampopenhighlowclosevolume
09:3052588.0052625.0052390.0052446.008,715
10:0052448.0052480.0052325.0052376.004,336
10:3052377.0052496.0052359.0052495.003,203
11:0052496.0052582.0052495.0052502.003,007
11:3052505.0052619.0052479.0052564.003,216
12:0052565.0052570.0052490.0052508.001,306
12:3052509.0052513.0052475.0052491.00977
13:0052493.0052562.0052466.0052561.001,042

Open the full 2026-09-16 preview for YM

Corporate actions in the changelog

YM is a continuous contract: each roll is ratio-adjusted so the series has no artificial gaps between expiries. There are no splits to record; the continuous futures page explains the roll method.

Load YM in Python

Files are partitioned by trading day, so pulling one symbol means filtering across files. DuckDB reads the whole daily history in one statement; union_by_name and the COALESCE cover the older daily files, which carry a timestamp column where newer ones carry date:

  import duckdb

  ym = duckdb.sql("""
      SELECT COALESCE(date, CAST(timestamp AS DATE)) AS date,
             open, high, low, close, volume
      FROM read_parquet('by_date/futures_daily/*/*.parquet', union_by_name=true)
      WHERE symbol = 'YM'
      ORDER BY 1
  """).df()

Intraday files all share one schema, so Polars can scan a year of 5-minute bars lazily and keep only YM:

  import polars as pl

  bars = (
      pl.scan_parquet("by_date/futures_5min/2025/*.parquet")
        .filter(pl.col("symbol") == "YM")
        .select(["timestamp", "open", "high", "low", "close", "volume"])
        .sort("timestamp")
        .collect()
  )

Timestamps are US/Eastern bar open times. The Polars guide, the DuckDB guide and the backtrader guide take it from here: multi-year loads, resampling and feeding a backtest engine.

Available Futures files

TimeframeFilesDate range
1-Min5,8542007-12-31 to 2026-09-16
5-Min5,8542007-12-31 to 2026-09-16
30-Min5,8542007-12-31 to 2026-09-16
1-Hour5,8542007-12-31 to 2026-09-16
Daily4,8692007-12-31 to 2026-09-16

Every file holds all Futures symbols for that day, YM included.

Get YM data

Free: a free account can download roughly the last year of daily Futures files, which include YM, from the daily browse page or by API key. Complete Archive: every timeframe and the full history back to 2008-01-02 for YM and every other symbol, $79 one-time.

> Download the free daily sample > See pricing

FAQ

Is YM history split-adjusted?

Futures do not split. YM is a continuous, ratio-adjusted series, so returns are correct across contract rolls.

How far back does YM go?

The first YM bar in the archive is dated 2008-01-02 and the newest is 2026-09-11. New sessions are added the same night, typically by midnight ET.

What timezone are the intraday bars in?

US/Eastern. Regular hours are 9:30 AM to 4:00 PM ET; 1-minute files also carry pre-market from 4:00 AM and after-hours to 8:00 PM where trades occurred.

Can I download only YM?

Files are per day, not per symbol, so you download the daily or intraday files for the dates you need and filter on symbol == "YM". A year of daily files is small; the snippets above do the filtering in one pass.

Related

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