📈 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:

Column	Type	Description
timestamp	datetime64[ns, UTC]	Start time of the minute
open	float64	Opening price
high	float64	Highest price within the minute
low	float64	Lowest price within the minute
close	float64	Closing price
volume	float64	Volume traded within the minute
ticker	string	Stock ticker symbol

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())