Free historical stock data: a year of daily bars for every US ticker
The free tier is not a teaser table. It is the real daily files: every US stock, ETF and futures contract, split-adjusted, delisted names included, for roughly the last 365 days, current through 2026-09-16. No card, and the files are the same Parquet the paid archive uses, so code written against them keeps working.
Try it before signing up
The newest 7 days of daily files are downloadable with no account at all. One command, one file, every ticker:
> try it — free, no signup:
curl -LO https://marketparquet.com/api/data/download/stock_daily/2026-09-16.parquet
2026-09-16 close · 6,533 US stocks · download
| date | symbol | open | high | low | close | volume |
|---|---|---|---|---|---|---|
| 2026-09-16 | AAPL | 332.53 | 335.48 | 330.7 | 332.41 | 35981000.0 |
| 2026-09-16 | MSFT | 493.03 | 495.97 | 487.23 | 490.3 | 16670285.0 |
| 2026-09-16 | NVDA | 214.14 | 216.76 | 212.5 | 213.9 | 96563590.0 |
| 2026-09-16 | AMZN | 248.1 | 249.26 | 244.3 | 245.96 | 33488488.0 |
| 2026-09-16 | GOOGL | 347.08 | 348.4 | 340.64 | 342.87 | 18928864.0 |
real rows from this file · see all 50 rows →
What the free account includes
| Dataset | Free window | Symbols |
|---|---|---|
| stock daily | last ~365 days | every US stock, delisted included |
| ETF daily | last ~365 days | every US ETF |
| futures daily | last ~365 days | ~130 continuous contracts |
| intraday (1-min to 1-hour) | Complete Archive only | |
| daily history before the window | Complete Archive only | |
Each daily file holds one row per symbol with date, symbol, asset_type, open, high, low, close, volume.
Prices are split-adjusted; dividends are not embedded. Delisted tickers stay in the files
through their last trading day, so even the free year is survivorship-bias-free.
Download the free year in a minute
Register, create an API key on the account page, then either click through the
browse pages or script it. Free dates return a
download; dates outside the window return 403 so a script can simply stop there:
export KEY=mp_live_...
mkdir -p by_date/stock_daily && cd by_date/stock_daily
for y in 2025 2026; do
curl -s -H "Authorization: Bearer $KEY" \
"https://marketparquet.com/api/v1/manifest/stock_daily?start=$y-01-01&end=$y-12-31" \
| jq -r '(.files // [])[] | "\(.download_url) -o \(.filename)"' \
| xargs -P8 -n3 curl -s --retry 3
done
The manifest only lists dates your account may download, so the same loop works unchanged after an upgrade; it just returns more years.
> Create a free accountWhat a year of free data is good for
- Validating a pipeline end to end: schema, joins, calendar handling, corporate actions, before paying for history.
- Cross-sectional work that only needs recent data: screens, factor snapshots, correlation matrices across every listed name.
- Checking another vendor: the free files are the same bars customers pay for, so a mismatch with your current source is worth investigating.
- Teaching and notebooks, where a reproducible file beats a rate-limited API.
When the free tier is not enough
Backtests need history and, usually, intraday bars. The Complete Archive is a one-time $79 for every timeframe and the full history back to 2000 (futures from December 2007); Keep Current is an optional $15 a month for the nightly files after that. The bulk download guide shows sizes and the same one-command loop over the whole archive.
FAQ
Is a card required?
No. A free account is an email address or a Google sign-in.
Is the free data delayed or sampled?
No. It is the same nightly file the paid tier gets, complete for every symbol; only the date range is limited.
Can I use the free data commercially?
The license covers both tiers; the short version is internal research and products built on derived results are fine, redistribution of the files is not.
Which format?
Apache Parquet, readable by pandas, Polars, DuckDB, R (arrow), Spark and anything else that speaks Parquet. CSV export of a preview is available on each file's preview page.
Related
download the whole archive · yfinance limitations · symbol pages · pricing