Bitstamp BTC/USD 1-minute OHLC Data

This repository provides historical and up-to-date Bitcoin (BTC/USD) 1-minute OHLC candle data from Bitstamp.

Bulk Historical Data

The historical dataset is saved in data/historical/btcusd_bitstamp_1min_2012-2025.csv.gz.

Some facts about the data:

• Date Range: From 1 January 2012 to 7 January 2025.
• Number of Records: 6,846,600
• File Size: Approximately 90MB zipped, 326MB unzipped.
• Data Integrity: No missing minutes, no duplicates, and no null values.

Data Preview

Below is a preview of the first and last two rows of the bulk dataset:

timestamp	open	high	low	close	volume
1325412060	4.58	4.58	4.58	4.58	0.0
1325412120	4.58	4.58	4.58	4.58	0.0
...	...	...	...	...	...
1736207940	102280.0	102280.0	102280.0	102280.0	0.007554
1736208000	102278.0	102291.0	102263.0	102263.0	0.523107

Daily Updates

A daily GitHub action runs at midnight UTC to fetch the latest data and append it to a separate, daily update file.

The daily updates (since the bulk data) are saved in data/updates/btcusd_bitstamp_1min_latest.csv.

How Can I Use This Data?

The simplest way to use the data is to clone the repository:

git clone https://github.com/ff137/bitstamp-btcusd-minute-data
cd bitstamp-btcusd-minute-data

If you don't have git, you can also download the repository as a zip file. Or, just download the individual datasets:

• data/historical/btcusd_bitstamp_1min_2012-2025.csv.gz
• data/updates/btcusd_bitstamp_1min_latest.csv

Keeping the Data Up-to-Date

Some time passes and you want to fetch the new daily updates. Perform a force pull:

git fetch upstream
git reset --hard upstream/main

This is needed instead of git pull, because the daily update file gets overwritten to keep the git history clean.

Working with the Data in Python

Assuming you have Python installed, you can install Poetry and the project dependencies:

python -m venv venv  # Create a new virtual environment
source venv/bin/activate  # On Windows use `venv\Scripts\activate`

pip install poetry  # Install Poetry
poetry install  # Install the project dependencies

We have a sample script for you to inspect the data integrity (validate that there are no missing minutes, no duplicates, no nulls, etc):

python -m scripts.inspect_data merged

Replace merged with bulk or updated to inspect the individual bulk or daily datasets.

Python Template for Loading the Data

If you need a basic template for just loading the data into a single DataFrame:

import pandas as pd

# Load historical and recent data
DATA_DIR = 'data'
df_hist = pd.read_csv(
    f'{DATA_DIR}/historical/btcusd_bitstamp_1min_2012-2025.csv.gz',
    compression='gzip'
)
df_recent = pd.read_csv(
    f'{DATA_DIR}/updates/btcusd_bitstamp_1min_latest.csv'
)

# Combine the datasets
df = pd.concat([df_hist, df_recent], ignore_index=True)
df.info()

Want to Know More About this Repo?

Forked from mczielinski/kaggle-bitcoin and fixed some issues.

See scripts/README.md for more information on how this data was onboarded.

Go to scripts/update_data.py and .github/workflows/update-automation.yml if you are curious about how the data is processed and kept up-to-date.

Support

If you need any help or have any questions, please feel free to open an issue or contact me directly.

We hope this repo makes your life easier! If it does, please give us a star! ⭐