 __  __            _        _   ____
|  \/  | __ _ _ __| | _____| |_|  _ \ __ _ _ __ __ _ _   _  ___| |_
| |\/| |/ _` | '__| |/ / _ \ __| |_) / _` | '__/ _` | | | |/ _ \ __|
| |  | | (_| | |  |   <  __/ |_|  __/ (_| | | | (_| | |_| |  __/ |_
|_|  |_|\__,_|_|  |_|\_\___|\__|_|   \__,_|_|  \__, |\__,_|\___|\__|
                                                    |_|

Historical Stock, ETF & Futures Data in Parquet

Split-adjusted OHLCV for backtesting — 1-minute to daily bars since 2000, delisted tickers included.

> Get the Complete Archive -- $79 > Download a free daily sample 26 years of history · no subscription · pandas / Polars / DuckDB ready

> try it — free, no signup:

curl -LO https://marketparquet.com/api/data/download/stock_daily/2026-10-23.parquet

2026-10-23 close · download

also free, no signup: intraday sample pack · 1 week of 1-min to 1-hour bars, 30 symbols (zip, 3.6 MB)

on a phone? register free and the welcome email carries the download commands for your computer

date	symbol	open	high	low	close	volume
2026-10-23	AAPL	349.115	351.73	345.75	347.725	39539690.0
2026-10-23	MSFT	517.745	525.77	515.7	524.51	13681067.0
2026-10-23	NVDA	210.99	213.85	210.18	210.96	80189765.0
2026-10-23	AMZN	248.85	250.01	246.4516	248.0	25569043.0
2026-10-23	GOOGL	321.145	324.5307	320.18	320.21	17569640.0

real rows from this file ·

We couldn't find reliable split-adjusted Parquet data for backtesting, so we built it — 26 years of US historical OHLCV data, one file per trading day.

Pricing

Buy the archive once -- no subscription. See pricing.

Feature	Free sample	Complete Archive ($79)
Daily (EOD) data	Last 1 year	Full history
Intraday (1min-1hour)	sample pack (1 week, 30 symbols)	Full history
Asset types	Stock, ETF, Futures	Stock, ETF, Futures
Downloads	Unlimited	Unlimited
API access	60 req/min	600 req/min

* Optional add-on: Keep Current -- $15/mo rolls your archive forward each trading day. Cancel anytime.

Data Inventory

Updated every trading day — stocks current through 2026-10-23 · ETFs through 2026-10-23 · futures through 2026-10-23.

STOCK

Timeframe	Files	Date Range	Total Size
1-Min	6,743	2000-01-03 .. 2026-10-23	89.4 GB
5-Min	6,743	2000-01-03 .. 2026-10-23	31.3 GB
30-Min	6,743	2000-01-03 .. 2026-10-23	9.3 GB
1-Hour	6,743	2000-01-03 .. 2026-10-23	6.1 GB
Daily	6,743	2000-01-03 .. 2026-10-23	1.2 GB

ETF

Timeframe	Files	Date Range	Total Size
1-Min	6,743	2000-01-03 .. 2026-10-23	15.3 GB
5-Min	6,743	2000-01-03 .. 2026-10-23	6.8 GB
30-Min	6,743	2000-01-03 .. 2026-10-23	2.3 GB
1-Hour	6,743	2000-01-03 .. 2026-10-23	1.5 GB
Daily	6,743	2000-01-03 .. 2026-10-23	352 MB

FUTURES

Timeframe	Files	Date Range	Total Size
1-Min	5,886	2007-12-31 .. 2026-10-23	3.3 GB
5-Min	5,886	2007-12-31 .. 2026-10-23	1.3 GB
30-Min	5,886	2007-12-31 .. 2026-10-23	436 MB
1-Hour	5,886	2007-12-31 .. 2026-10-23	275 MB
Daily	4,896	2007-12-31 .. 2026-10-23	45 MB

Schema

  path: by_date/{asset}_{timeframe}/YYYY-MM-DD.parquet
  compression: snappy

  assets:     stock, etf, futures
  timeframes: 1min, 5min, 30min, 1hour, daily

  columns:
    timestamp    TIMESTAMP[us]   -- bar open time (US/Eastern)
    symbol       STRING          -- ticker symbol
    asset_type   STRING          -- "Stock", "ETF", or contract code
    open         FLOAT64         -- open price
    high         FLOAT64         -- high price
    low          FLOAT64         -- low price
    close        FLOAT64         -- close price
    volume       FLOAT64         -- bar volume

Quick Start

  # no account, no key -- daily files from the last 7 days are free
  curl -LO https://marketparquet.com/api/data/download/stock_daily/2026-10-23.parquet

  # or always-newest (302 to the dated file; saves as latest.parquet)
  curl -LO https://marketparquet.com/api/data/download/stock_daily/latest.parquet

  # Python
  import pandas as pd
  df = pd.read_parquet("stock_1min_2024-01-15.parquet")
  aapl = df[df.symbol == "AAPL"]   # SPY/QQQ live in the etf_* files

  # API -- one file (full API reference: /documentation)
  curl -H "Authorization: Bearer bt_YOUR_KEY" \
    https://marketparquet.com/api/v1/download/stock_1min/2024-01-15

  # API -- every file in a date range in one call (presigned URLs, valid 60 min)
  curl -H "Authorization: Bearer bt_YOUR_KEY" \
    "https://marketparquet.com/api/v1/manifest/stock_daily?start=2024-01-01&end=2024-12-31"

One Parquet file per trading day, read with pd.read_parquet(...). > API reference & code samples

Split-adjusted OHLCV bars, 1-minute to daily, US stocks & ETFs from 2000 and futures from 2007, survivorship-bias-free with delisted tickers, updated after market close -- one Parquet file per trading day, loads straight into pandas/Polars/DuckDB.