An option chain is a table showing all call and put options for a stock or index, organized by strike and expiry.Option chain is used to spot support/resistance, gauge sentiment, and pick strike prices based on open interest, volume, and implied volatility.
Key components include strike price, expiry, Greeks, and IV. Analyzing the option chain helps with strategies like spreads and condors. Mistakes to avoid include over-relying on OI, ignoring IV, and trading illiquid contracts. Best strike prices are usually at-the-money or slightly out-of-the-money. Live data is available on NSE India, broker platforms, and analytics sites.
An option chain is a real-time table showing all available call and put option contracts for a specific stock or index, organized by strike price and expiry date. An option chain allows traders to see the pricing, volume, and open interest for each option at a glance.
Option chains are essential tools for options traders, as they display the full range of contracts available for trading in one place. Both call and put options are listed, usually with calls on the left and puts on the right for each strike price.
The option chain updates throughout the trading day, reflecting live prices and market activity. Brokers, exchanges, and financial websites provide these data tables for free.
Option chains make it easier to compare different strikes and expiries, helping traders make quick, informed decisions. They are crucial for executing multi-leg strategies like spreads or condors.
The option chain is used in trading to identify market sentiment, key support/resistance zones, and optimal strike prices for various strategies. It provides a real-time overview that helps traders understand where large positions are concentrated and how the market expects the underlying asset to move.
For example, for a stock is trading at Rs. 1,000 and open interest is highest at the 1,020 strike for calls, this level could act as resistance. Similarly, heavy put interest at Rs. 980 might signal support.
Option chain analysis supports both intraday and positional trading by showing where “smart money” is betting. This makes it a powerful tool for active traders.
The key components of an option chain include strike price, expiry date, call and put options, bid/ask price, volume, open interest, implied volatility, and option Greeks. Each component provides unique insights into the option’s value and market dynamics.
Here’s a sample snippet.
| Strike Price | Call OI | Call IV | Call LTP | Put LTP | Put IV | Put OI |
| 1,000 | 12,000 | 18% | 30 | 28 | 19% | 16,000 |
| 1,020 | 8,500 | 17% | 22 | 40 | 20% | 12,700 |
Understanding these terms is crucial for making informed trading decisions.
An example of using an option chain effectively can be seen in the strategy built around the 25400 and 25500 strike prices. Suppose the option chain shows heavy call open interest at the 25500 strike and the highest put open interest at the 25400 strike. This indicates a potential trading range between these two levels as expiry is just a day away.

Based on this observation, an Iron Condor strategy can be deployed. Here’s how the strikes and premiums are selected.

The maximum profit in this setup is the net premium received upfront:
Net Credit = (52.80 + 43.85) – (8.05 + 9.70) = ₹78.90
With a lot size of 75,
Max Profit = ₹78.90 × 75 = ₹5,918
Loss occurs if the price breaches either spread completely.
The wider spread determines the max loss:
Max Loss per unit = 250 – 78.90 = ₹171.10
Max Loss = ₹171.10 × 75 = ₹12,832

So, the breakeven zone is roughly 25322 to 25578.
To read and analyze an option chain, follow a step-by-step process focusing on liquidity, OI, IV, and price movement. Here’s a simple guide.
For example, for a scenario where Nifty is at Rs. 22,000 and 22,000 calls have high OI, this level might resist upward moves. If 21,900 puts see rising OI, this level could act as support.
Images and color-coded tables on broker sites can help visualize these dynamics. Practice by tracking a live option chain for a few days to spot patterns.
Open interest (OI) is the total number of outstanding option contracts that have not been closed or settled, reflecting the level of activity and liquidity in each strike. OI is different from volume, which counts only contracts traded in a specific session.
For example, if the 22,000 Nifty call has 20,000 OI and 4,000 volume, there are 20,000 contracts still open, and 4,000 traded today.
OI trends help spot support and resistance. Rising put OI below market price signals support, while rising call OI above market price indicates resistance.
High OI at a strike often acts as a magnet for price, especially near expiry. This makes OI a crucial metric for both intraday and positional traders.
Implied volatility (IV) in an option chain directly affects option pricing—higher IV means more expensive options and greater expected price movement. IV is not an absolute number but reflects the market’s expectations of future volatility.
IV also interacts with the Greek “Vega,” which measures how much an option’s price changes with IV. A 1% IV jump could increase an option’s price by Rs. 2 if Vega is 2.
Advanced traders track IV percentile or IV rank, which show how current IV compares to its historical range. If IV is at the 90th percentile, options are expensive relative to the past.
Understanding IV helps decide whether to buy or sell options. Selling options when IV is high (and likely to fall) is a common strategy.
Option Greeks in the option chain measure how an option’s price responds to various risk factors, helping traders manage trades and predict moves. The main Greeks are:
| Greek | Meaning | Typical Use |
| Delta | Price sensitivity/probability | Directional trades |
| Theta | Time decay | Selling premium, expiry plays |
| Vega | IV sensitivity | Volatility trades |
| Gamma | Delta change rate | Managing rapid moves |
Traders adjust position size, hedge risk, or time their trades for maximum advantage.
Option chain data is used in both intraday and positional trading to spot momentum, confirm setups, and create watchlists. For intraday, traders watch OI build-up and volume spikes at specific strikes to catch short-term momentum.
For example, if 22,000 Nifty puts see rising OI and price bounces at that level, it signals strong support for intraday long trades. For positional setups, rising OI at multiple strikes helps spot the broader trend.
Smart traders use the option chain as a real-time “heatmap” for market positioning.
Live option chain data is available on major exchange websites, broker platforms, and specialized analytics sites like Market Strike.Money. The National Stock Exchange (NSE) India provides free, real-time option chains for all listed stocks and indices.
Popular sources include the below.
Always use official or regulated sources to avoid errors and lag. Fast data is critical for intraday traders, so test your platform’s refresh speed.
Live option chain data helps you react instantly to market changes and manage your trades with confidence.
Common mistakes when using option chain data include over-relying on open interest, ignoring implied volatility trends, misinterpreting Greeks, and trading illiquid contracts. Avoid these pitfalls to improve your results:
Stats show that novice traders lose money largely due to these mistakes. Education and practice are key to using option chains effectively.
The best strike price depends on your trading objective, risk appetite, and chosen strategy, but generally, at-the-money (ATM) or slightly out-of-the-money (OTM) strikes offer the best balance for most traders. ATM strikes have the most liquidity and tightest bid-ask spreads.
For intraday trades, ATM or one strike OTM options are popular due to high volume and quick movement. For positional or hedging, deeper OTM or in-the-money (ITM) strikes might suit different risk-reward needs.
Always consider open interest, IV, and your stop-loss levels before choosing a strike. Track how different strikes react during volatility to refine your selection process.
Arjun is a seasoned stock market content expert with over 7 years of experience in stock market, technical & fundamental analysis. Since 2020, he has been a key contributor to Strike platform. Arjun is an active stock market investor with his in-depth stock market analysis knowledge. Arjun is also an certified stock market researcher from Indiacharts, mentored by Rohit Srivastava.
Sunder Subramaniam combines his extensive experience in fundamental analysis with a passion for financial markets. He possesses a profound understanding of market dynamics & excels in implementing sophisticated trading strategies. Sunder’s unique skill set extends to content editing, where he leverages his insights to develop equity analysis strategies at Strike.money.
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