Historical data · Parquet

Historical NIFTY, SENSEX & MCX options, futures and spot data

1-minute and 1-second. Download the sample first.

Download the sample → check the columns

NIFTYSENSEXBANKNIFTYBANKEXFINNIFTYMIDCPNIFTYMCXNIFTY 1-second
1-secondfinest resolution
26instruments
JAN 2023pack history from
₹2,999packs from
NIFTY 23500 CE · 2026-09-15 · exp 22-SEP-2026
import pandas as pd
df = pd.read_parquet("2026-09-15/2026-09-22.parquet")
# 13 columns · 1-minute bars · every traded strike
datetimestrike_pricerightopenhighlowclosevolumeopen_interest
2026-09-15 09:15:0023500Call193.15202.65151.8153.355572452792270
2026-09-15 09:16:0023500Call154.55162.6154.5160.94345252756780
2026-09-15 09:17:0023500Call160.45161153.7153.72626002892760
2026-09-15 09:18:0023500Call153155.45150151.11976002981420

Real data from the free sample file — not a mock-up.

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  • ParquetTyped, compressed, documented columns.
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Free sample · Coverage · Schema · Ask the AI for other data

Datasets: NIFTY options 1-minute · SENSEX options · BANKNIFTY options · MCX 1-minute · XAU/USD 1-minute · all datasets

FAQ

Questions buyers ask

How does buying work?

Pick a pack and enter your name, email and mobile. The next page shows a UPI QR with the exact amount pre-filled — pay from any UPI app, then enter the 12-digit UTR (transaction reference). Payments are verified 8 AM – 11 PM IST; after approval the download unlocks on your order page and by email.

What is in the files?

Contract-level OHLC, volume and open interest as Parquet: 1-minute, plus NIFTY at 1-second. SENSEX and BANKEX OI has gaps. No Greeks or bid/ask. See the schema and coverage.

Can I check the data before buying?

Yes. The free sample is three real trading days of the NIFTY option chain as Parquet, no email needed. The free sample has 13 columns (layout A); older option files use the other documented layout.

What if something goes wrong?

Full refund if we cannot deliver what you paid for, or if you have paid but not yet downloaded and change your mind. Duplicate UPI payments are refunded in full. No refund after the files are downloaded; expired links are re-issued free. See the refund policy.

CSV or Parquet?

Files are Parquet. Any file converts to CSV in one line: pd.read_parquet(f).to_csv("out.csv", index=False). The pandas guide walks through it.

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