📈 OHLCV-1m: US Stock Market Minute-Level Candlestick Data (1992–2025)

This dataset provides minute-level OHLCV (Open, High, Low, Close, Volume) candlestick data for thousands of U.S. stocks across multiple decades (1992 to 2025). The data was originally sourced from Finnhub.io, a real-time market data provider.

It has been aggregated and reformatted from monthly .tar archives into clean and unified Parquet files — one per month — and uploaded to the Hugging Face Hub for easy access.

🧾 Dataset Structure

Each row in the dataset represents one minute of trading for a given stock ticker, and includes the following columns:

The data is split by month into files like:

data/ohlcv_1992-01.parquet data/ohlcv_1992-02.parquet ... data/ohlcv_2025-05.parquet

📚 Usage

from datasets import load_dataset

# Load the dataset (will stream across all months)
ds = load_dataset("mito0o852/OHLCV-1m", split="train")

# View one row
print(ds[0])



# To convert it into a pandas DataFrame:

import pandas as pd

df = ds.to_pandas()
print(df.head())