NIFTY Complete · Options + Futures + Spot · 3 years
16 Oct 2023 – 13 Oct 2026
₹7,999
Buy1-minute and 1-second. Download the sample first.
Download the sample → check the columns
import pandas as pd df = pd.read_parquet("2026-09-15/2026-09-22.parquet") # 13 columns · 1-minute bars · every traded strike
| datetime | strike_price | right | open | high | low | close | volume | open_interest |
|---|---|---|---|---|---|---|---|---|
| 2026-09-15 09:15:00 | 23500 | Call | 193.15 | 202.65 | 151.8 | 153.35 | 557245 | 2792270 |
| 2026-09-15 09:16:00 | 23500 | Call | 154.55 | 162.6 | 154.5 | 160.9 | 434525 | 2756780 |
| 2026-09-15 09:17:00 | 23500 | Call | 160.45 | 161 | 153.7 | 153.7 | 262600 | 2892760 |
| 2026-09-15 09:18:00 | 23500 | Call | 153 | 155.45 | 150 | 151.1 | 197600 | 2981420 |
Real data from the free sample file — not a mock-up.
16 Oct 2023 – 13 Oct 2026
₹7,999
Buy16 Oct 2023 – 13 Oct 2026
₹7,249
Buy2 Jan 2023 – 1 Oct 2026
₹4,999
BuyFree 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
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.
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.
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.
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.
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.