# Historical Option Chart — StockMojo > Historical option chain snapshots for past expiries - Live page: https://stockmojo.in/historical-chart - Content last updated: 2026-07-09 - Platform: StockMojo — free options analytics for Indian markets (NSE F&O) This is a machine-readable markdown mirror of the live tool page. The live page shows real-time NSE data during market hours (09:15-15:30 IST) and supports 200+ F&O symbols via per-symbol URLs like https://stockmojo.in/historical-chart/banknifty. ## Frequently asked questions ### What is NSE historical option data? NSE historical option data is the past trading record of options contracts on the National Stock Exchange of India — historical option chain data, open interest (OI), implied volatility (IV), premium and price for each strike and expiry. StockMojo lets you chart this history for Nifty, Bank Nifty, FinNifty and F&O stocks instead of just downloading raw numbers. ### What is historical option chain data and why does it matter? Historical option chain data is a record of how every strike's OI, IV and premium looked on past sessions. It matters because option outcomes are decided by what actually happened intraday — IV crush, OI buildup, gap moves — not by end-of-day closes. Charting the historical chain lets you replay those conditions and understand why a trade worked or failed. ### How do I chart historical OI and IV for Nifty options? Select Nifty (or Bank Nifty, FinNifty, or an F&O stock), pick the strike and expiry you want to study, and choose a date range. The TradingView-powered chart then plots the historical open interest, implied volatility, premium and price for that option so you can see how it evolved session by session — something a CSV file can't show at a glance. ### Can I view Bank Nifty and FinNifty historical option data? Yes. The historical chart supports Bank Nifty and FinNifty option data alongside Nifty and NSE F&O stocks. You can analyse the historical option chain, OI trends, implied volatility and premium decay for Bank Nifty and FinNifty across weekly and monthly expiries. ### How do I view expired options and past-expiry option chains? Most sites and broker terminals drop an option once it settles, but this tool keeps the full record. Choose the expiry date you want — including expired weekly and monthly contracts — pick a strike, and chart how that expired Nifty, Bank Nifty or FinNifty option behaved right up to settlement. It's the easiest way to open the option chain by expiry date and study past expiries. ### Can I see expired Nifty and Bank Nifty option charts? Yes. You can pull up expired Nifty and Bank Nifty options and chart their historical price, premium, OI and IV. This is ideal for reviewing how a past expiry played out — how premium decayed in the final sessions, where OI concentrated before expiry, and how implied volatility collapsed into settlement. ### How far back does the historical option data go? The tool provides multiple years of archived NSE option-chain history across weekly and monthly expiries for Nifty, Bank Nifty, FinNifty and major F&O stocks. That depth lets you study option behaviour across very different regimes — trending rallies, sharp corrections, event days and quiet expiries. ### What is historical OI data and how do I read it? Historical OI (open interest) data shows the total outstanding contracts at each strike over time. Rising OI with rising price is fresh long buildup; rising OI with falling price is short buildup; falling OI is unwinding. Charting historical OI helps you see where past support and resistance formed and how positioning shifted into expiry. ### How is historical option data useful for backtesting? Backtesting on real historical option data — actual traded premiums, OI and IV — is far more reliable than testing on close-only prices, because it captures IV changes, liquidity and gaps. Use the historical chart to study a setup, then run the exact strategy in our Options Simulator to measure its P&L across many past sessions. ### Can I see historical option prices for a specific strike and expiry? Yes. Pick any available strike and expiry and the chart plots that contract's historical price, premium, OI and IV over your chosen range. This is ideal for studying premium decay, how a strike behaved into expiry, or how a specific option reacted around an earnings or policy event. ### Is the historical option data free? Yes, StockMojo offers free access to historical option chain data and charts for NSE indices and stocks — historical OI, IV, premium and price for Nifty, Bank Nifty, FinNifty and F&O stocks — so you can research and backtest without cost. ## How to chart NSE historical option data 1. **Select the symbol** — Choose Nifty, Bank Nifty, FinNifty or any NSE F&O stock whose historical option data you want to study. 2. **Pick the strike and expiry** — Select the strike price and the weekly or monthly expiry — including expired past expiries — of the option contract you want to chart. 3. **Set the date range** — Choose how far back to load — a single expiry cycle, or months of history across multiple expiries. 4. **Read the OI, IV and price series** — Study how open interest, implied volatility, premium and price evolved session by session on the interactive chart. 5. **Compare strikes or add context** — Overlay other strikes or use our Live Option Chain, IV Chart and Max Pain tools to interpret what drove the moves. 6. **Backtest the setup** — Take what you learned into the Options Simulator to test the strategy on the same historical data and measure real P&L. ## Related tools - [Option Chain](https://stockmojo.in/option-chain) — markdown: https://stockmojo.in/option-chain.md - [Option Simulator](https://stockmojo.in/simulator) — markdown: https://stockmojo.in/simulator.md - [IV Chart](https://stockmojo.in/iv-chart) — markdown: https://stockmojo.in/iv-chart.md - [Max Pain](https://stockmojo.in/max-pain) — markdown: https://stockmojo.in/max-pain.md ## Glossary Terms used: historical-option-data, option-chain-history, historical-oi, historical-iv, nifty. Definitions: https://stockmojo.in/glossary