Dataset Viewer
The dataset could not be loaded because the splits use different data file formats, which is not supported. Read more about the splits configuration. Click for more details.
Couldn't infer the same data file format for all splits. Got {'train': ('parquet', {}), 'AOM': (None, {}), 'CMFO': (None, {}), 'FORD': (None, {}), 'PFXF': (None, {}), 'MILIF': (None, {}), 'AICOF': (None, {}), 'DMPZF': (None, {}), 'TOYOF': (None, {}), 'REAMS': (None, {}), 'INVA': (None, {}), 'TRSY': (None, {}), 'ELD': (None, {}), 'XFLT.PRA': (None, {}), 'CLDI': (None, {}), 'COCHW': (None, {}), 'HEI.A': (None, {}), 'ETOR': (None, {}), 'IDUB': (None, {}), 'ENOV': (None, {}), 'PMAX': (None, {}), 'SFLO': (None, {}), 'NHAWF': (None, {}), 'REGN': (None, {}), 'SMTSF': (None, {}), 'PYCT': (None, {}), 'COWS': (None, {}), 'UPAR': (None, {}), 'AVSU': (None, {}), 'RFAI': (None, {}), 'VCLN': (None, {}), 'LBGJ': (None, {}), 'BYSTF': (None, {}), 'XYIGF': (None, {}), 'GLTO': (None, {}), 'VZ': (None, {}), 'BAYP': (None, {}), 'CKYS': (None, {}), 'FCXXF': (None, {}), 'USCL': (None, {}), 'EBCOY': (None, {}), 'ACSI': (None, {}), 'IGIC': (None, {}), 'SEPM': (None, {}), 'FT': (None, {}), 'SRZNW': (None, {}), 'NLSC': (None, {}), 'LIMFF': (None, {}), 'EIM': (None, {}), 'FLS': (None, {}), 'PTA': (None, {}), 'FCX': (None, {}), 'CHIZF': (None, {}), 'BCMXY': (None, {}), 'HKTTY': (None, {}), 'OFED': (None, {}), 'AMKYF': (None, {}), 'PSCJ': (None, {}), 'LDRC': (None, {}), 'RECT': (None, {}), 'SOUL': (None, {}), 'BAP': (None, {}), 'BBSC': (None, {}), 'AIBT': (None, {}), 'TTLHF': (None, {}), 'CNTHN': (None, {}), 'EXXAF': (None, {}), 'SCNI': (None, {}), 'SKUFF': (None, {}), 'SPRY': (None, {}), 'CBDD': (None, {}), 'HTHT': (None, {}), 'RROYF': (None, {}), 'TAGS': (None, {}), 'WSM': (None, {}), 'GJT': (None, {}), 'PLTW': (None, {}), 'FENG': (None, {}), 'TQQY': (None, {}), 'FRI': (None, {}), 'GRDN': (None, {}), 'UJAN': (None, {}), 'BKTI': (None, {}), 'GSTRF': (None, {}), 'EVGOW': (None, {}), 'DMKPQ': (None, {}), 'TGRR': (None, {}), 'CDZIP': (None, {}), 'DUFRY': (None, {}), 'NHLG': (None, {}), 'AIFD': (None, {}), 'FACTW': (None, {}), 'WSEMF': (None, {}), 'JVA': (None, {}), 'MNTHY': (None, {}), 'PNGAF': (None, {}), 'ACKAY': (None, {}), 'CERT': (None, {}), 'DESK': (None, {}), 'RXLSF': (None, {}), 'TCEFF': (None, {}), 'VYGVQ': (None, {}), 'MMNGF': (None, {}), 'MFAO': (None, {}), 'ASLV': (None, {}), 'NTWOU': (None, {}), 'MNSEF': (None, {}), 'BKGI': (None, {}), 'VOO': (None, {}), 'ZBH': (None, {}), 'SOMLY': (None, {}), 'MAR': (None, {}), 'PSFJ': (None, {}), 'CJPRF': (None, {}), 'RSVNS': (None, {}), 'ARR': (None, {}), 'SKILW': (None, {}), 'DGS': (None, {}), 'PFRL': (None, {}), 'VYRE': (None, {}), 'EDDRF': (None, {}), 'VGFCQ': (None, {}), 'EAOA': (None, {}), 'IBHI': (None, {}), 'NHICW': (None, {}), 'WB': (None, {}), 'TX': (None, {}), 'IBLC': (None, {}), 'OTTEF': (None, {})}
Error code: FileFormatMismatchBetweenSplitsError
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📈 OHLCV-1m: US Stock Market Minute-Level Candlestick Data (1992–2026)
This dataset provides minute-level OHLCV (Open, High, Low, Close, Volume) candlestick data for thousands of U.S. stocks across multiple decades (1992 to 2026). 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_2026-03.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())
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