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Cryptocurrencies 1min Price
One-minute open, high, low, close and volume of coins and tokens against the US dollar, from November 2013 to today, delisted coins included.
485,657,670 rows, 7 columns, covering 2013-11-03 to 2026-10-30. Refreshed monthly.
Why It Matters
- Intraday crypto research: Funding-time and round-the-clock effects, weekend liquidity, the reaction to listings: all live inside the day.
- Execution modeling: Minute bars bound the slippage of a daily strategy that rebalances at a chosen hour on a market that never closes.
- No survivorship: Coins that stopped trading keep their bars, so a cross-section ranked here is ranked on what was tradable at the time.
Load It
Installation/Upgrade:
pip install --upgrade pwb-toolbox
Load the Dataset:
from pwb_toolbox import datasets as pwb_ds
df = pwb_ds.load_dataset("Cryptocurrencies-1Min-Price", symbols=["BTCUSD"])
print(df.iloc[0, :])
Example Output:
symbol BTCUSD
datetime 2024-07-15 04:00:00
open 62810.3
high 62844.0
low 62790.1
close 62831.5
volume 12
Columns
| Column Name | Description |
|---|---|
| symbol | Pair or coin ticker against the US dollar. |
| datetime | Bar timestamp, New York time, as in Stocks-1Min-Price. |
| open | Opening price of the minute bar. |
| high | Highest price within the bar. |
| low | Lowest price within the bar. |
| close | Closing price of the minute bar. |
| volume | Traded volume during the bar. |
What This Data Does Not Cover
Venue. Prices are a consolidated feed across exchanges, not one order book; the volume column is the feed's, not any single venue's.
History by coin. Bitcoin runs from November 2013; most tokens start years later. Check the first bar of a coin before testing on it.
Redenominations. A ticker reused after a redenomination carries both series under one name; drop the day of the jump before ranking on returns.
Access
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Elsewhere
- Dataset page and coverage charts
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