NIFTY 50 DATASET DIRECTORY

Nifty Expired Options CSV Data

1-minute OHLCV + Open Interest historical expired weekly & monthly options contract dataset for the NSE Nifty 50 Index. Provided strictly for educational and backtesting purposes.

NSE NIFTY 50 INDEX1-Min OHLCV + OI

Nifty Expired Options Dataset

Includes strike prices (ITM, ATM, OTM), weekly and monthly expiries with 1-minute open, high, low, close, volume, and open interest for algorithmic strategy research.

Dataset Type
Expiry Data
Granularity
1-Minute Candles
Format
Universal CSV

Download request will approved within 10 minutes

Historical Data Disclaimer

All historical options and stock datasets provided by Cloud Trader Pro are provided strictly on an "AS-IS" and "AS-AVAILABLE" basis for educational and backtesting purposes only.

⚡ Purely a Technology Provider

Cloud Trader Pro is strictly an algorithmic technology and software tools provider. We are NOT registered with SEBI as Investment Advisors, Research Analysts, or Stock Brokers, and do not provide financial advice or tips.

🛡️ Zero Warranty & Zero Liability

Data is provided without warranty of any kind. Cloud Trader Pro bears zero liability for any trading decisions, financial losses, or discrepancies in algorithmic backtesting results.

Please audit and verify all data before relying on it for quantitative analysis or backtesting models.Read full legal terms →

Full Dataset RequestEducational & Backtesting Only

Need Full Expired Nifty Options Dataset?

Looking for complete historical expired Nifty options datasets for algorithmic backtesting, strategy validation, or quantitative modeling? Connect via Telegram to request full dataset.

FREE DATASETS DIRECTORY

Explore Other Historical Datasets

Looking for Bank Nifty, Sensex, Bankex, Finnifty, Midcap Select, or Nifty 500 Stock data? Explore our other datasets in the directory below.

BANKNIFTY INDEX1-Min OHLCV + OI

Bank Nifty Expired Options Data

High-volatility 1-minute OHLCV+OI dataset for expired Bank Nifty contracts. Ideal for high-beta expiry day strategies.

Dataset Type:Historical Data
Granularity:1-Min OHLCV + OI
Status:Available for Download
SENSEX INDEX1-Min OHLCV + OI

Sensex Expired Options Data

High-resolution 1-minute OHLCV+OI historical data for expired Sensex options contracts. Essential for weekly & monthly expiry analytics.

Dataset Type:Historical Data
Granularity:1-Min OHLCV + OI
Status:Available for Download
FINNIFTY INDEX1-Min OHLCV + OI

Finnifty Expired Options Data

Sanitized 1-minute OHLCV+OI datasets for expired Nifty Financial Services (FINNIFTY) weekly & monthly options.

Dataset Type:Historical Data
Granularity:1-Min OHLCV + OI
Status:Available for Download
MIDCAP SELECT INDEX1-Min OHLCV + OI

Midcap Select Expired Options Data

Historical 1-minute OHLCV+OI dataset for expired NIFTY MIDCAP SELECT contracts. Ideal for high-beta midcap index decay models.

Dataset Type:Historical Data
Granularity:1-Min OHLCV + OI
Status:Available for Download
BANKEX INDEX1-Min OHLCV + OI

Bankex Expired Options Data

1-minute OHLCV+OI dataset for expired Bankex index options. Perfect for banking sector quantitative model validation.

Dataset Type:Historical Data
Granularity:1-Min OHLCV + OI
Status:Available for Download
500+ NSE EQUITIES (SPOT)Currently Unavailable

Nifty 500 Stocks Historical CSV Data

1-minute and daily historical spot OHLCV dataset for constituents of the NSE Nifty 500 Index (Currently Not Available).

Dataset Type:Historical Data
Granularity:Daily & 1-Min
Status:Currently Unavailable

Why Backtesting on Real Expired Options Data is Essential

Many quantitative traders attempt to backtest options strategies using spot index data and theoretical Black-Scholes pricing models. While mathematical approximations provide rough estimates, they fail to replicate real market phenomena: intraday implied volatility (IV) crush, liquidity gaps during sudden spikes, and the extreme gamma acceleration that occurs on weekly expiry afternoons.

Using actual 1-minute historical expired options contract CSV files allows you to test trading rules against the exact tick-by-tick bids, asks, and volume that occurred in live market sessions.

Key Advantages of Actual Expired Contract Datasets

  • True Theta Decay Curves: Measure the exact rate of premium erosion for ATM and OTM strikes between 9:15 AM and 3:30 PM.
  • Real Gamma Explosions: Observe how Out-of-the-Money (OTM) options transition from pennies to multiple times their value during 0-DTE breakout moves.
  • Accurate Stop-Loss Simulation: Avoid unrealistic fills. Verify whether your stop-loss order would have triggered during sharp index wicks.
  • Open Interest (OI) Confirmation: Study how buildup and unwinding in call/put open interest correlates with major support and resistance reversals.

Proven Options Backtesting Strategies for Nifty 50

With this sanitized 1-minute dataset, strategy developers commonly backtest the following rule-based systematic trading architectures:

9:20 AM / 9:30 AM Straddle

Sell ATM Call and Put simultaneously at 9:20 AM with individual stop-losses (e.g. 20%-30% on each leg) and analyze cumulative PnL across trending vs range-bound days.

OTM Strangle Decay

Sell 100-200 points OTM strikes on expiry day morning. Backtest re-entry conditions when one leg hits stop-loss during sudden momentum bursts.

VWAP Reversion Scalping

Buy options when premium crosses above 20-period Volume Weighted Average Price (VWAP) on confirmed volume spikes, targeting rapid quick momentum scalps.

0-DTE Expiry Hero-or-Zero

Evaluate buying sub-₹10 options after 1:30 PM on expiry day with defined risk parameters to measure risk-reward payoff across multiple expiry cycles.

Python Pandas Quickstart for Nifty Options

Load, parse dates, and filter Nifty CE / PE contracts in just 4 lines of code:

import pandas as pd

# 1. Load Nifty expired options dataset
df = pd.read_csv('NIFTY_EXPIRY_DATA.csv')

# 2. Combine Date and Time into a unified DatetimeIndex
df['Datetime'] = pd.to_datetime(df['Date'] + ' ' + df['Time'])
df.set_index('Datetime', inplace=True)

# 3. Filter specific CE/PE contracts for straddle backtesting
ce_contracts = df[df['Symbol'].str.contains('CE')]
pe_contracts = df[df['Symbol'].str.contains('PE')]

print("Loaded records:", len(df))
print(ce_contracts.head())

Common Mistakes in Options Backtesting (And How to Avoid Them)

  • Assuming Zero Slippage: In live trading, market orders experience slippage of 0.5 to 2.0 points on volatile candles. Always add a realistic slippage buffer in your backtester.
  • Ignoring Brokerage & STT: Frequent intraday trades accumulate transaction charges. Incorporate exchange turnover fees, GST, and STT into your net calculations.
  • Overfitting Parameters: Optimizing stop-loss to the exact decimal (e.g. 23.75%) on a small sample will fail in live markets. Test broad parameter robustness (e.g. 20% to 40%).

Frequently Asked Questions

Are these Nifty options datasets 100% free?

Yes. Sample expiry datasets can be downloaded directly for free using the "Download Few Expiries" button. For complete multi-year archives, click "Get Full Data" to connect with us via Telegram.

When do Nifty 50 options expire?

Nifty 50 weekly options contracts currently expire on Tuesday (if a holiday, the expiry occurs on the preceding trading day).

Which backtesting platforms support this CSV format?

The files use standard universal CSV columns (Symbol, Date, Time, Open, High, Low, Close, Volume, Open Interest) that work with Python (Pandas, VectorBT, Backtrader), Microsoft Excel, R, AmiBroker, and custom trading engines.

Can I get data for other expiries or index options?

Yes! We offer datasets for Bank Nifty, Sensex, Bankex, Finnifty, Midcap Select, and Nifty 500 stocks. You can also request full datasets via our Telegram support by clicking Get Full Dataset above.