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Forex 1min Price

One-minute open, high, low and close of currency pairs against the US dollar, from September 2009 to today. Volume is always zero: forex has no central tape, so the bars carry prices only.

3,062,443,272 rows, 7 columns, covering 2009-09-25 to 2026-10-30. Refreshed monthly.

Why It Matters

  • Intraday FX research: Fixing-time effects, the New York and London overlaps, reversals after the 4pm fix: all of it needs bars finer than the day.
  • Execution modeling: Minute bars bound the slippage of a daily strategy that trades at a chosen hour rather than at the close.
  • Event studies: Central bank announcements and macro releases move currencies within minutes; daily bars average them away.

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("Forex-1Min-Price", symbols=["EURUSD"])
print(df.iloc[0, :])

Example Output:

symbol      EURUSD
datetime    2024-07-15 04:00:00
open        1.0907
high        1.0909
low         1.0906
close       1.0908
volume      0

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

Volume. Always zero. There is no consolidated tape for spot forex; use the yearly cost table (Forex-Yearly-TransactionCostParams) for liquidity by pair and year.

History by pair. The majors run from September 2009; many minor and exotic pairs were listed in 2025 and have months, not years. Check the first bar of a pair before testing on it.

Gaps. Weekends and the daily 5pm New York maintenance break are absent, not filled; a minute without a tick has no row.

Access

Browsing the card and the schema is open to anyone. Downloading the files needs an approved request, tied to a subscription: what each plan includes. The same approval covers every dataset of the organisation.

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