Options Data in Excel: How to Pull Greeks, Prices, IV & Analytics with Live Formulas

To get options data into Excel, use an add-in that returns option chains and Greeks as formulas. With MarketXLS, =QM_GetOptionChain("AAPL") returns the chain (strikes, expirations, bid, ask, volume, open interest), =QM_GetOptionQuotesAndGreeks("AAPL") adds delta, gamma, theta, vega, rho, and implied volatility, and =QM_Last() prices a single contract built with =OptionSymbol(). Options data is end-of-day on the Standard plan and real-time streaming on the Advanced and Business plans. Excel's built-in STOCKHISTORY has no options data, so the free alternatives are broker exports and web imports.

This guide compares those methods and shows the MarketXLS formulas in detail.

For the main product page with formulas, plan guidance, and options workbook examples, see options data in Excel.

---

Methods Compared: Getting Options Data Into Excel

Before diving into each approach, here's an honest comparison of the most common methods for pulling options data into your spreadsheet:

Each method has trade-offs. Let's walk through them so you can make an informed choice.

---

Method 1: Excel's Built-In STOCKHISTORY Function

Microsoft 365 includes a STOCKHISTORY function that can pull historical stock price data. It's free and built right into Excel.

Step-by-Step

1. Open any Excel 365 workbook
2. In a cell, type =STOCKHISTORY("AAPL", "2025-01-01", "2025-12-31")
3. The function returns a spill range of dates and closing prices

Limitations

While this is a convenient starting point, the STOCKHISTORY function has significant limitations for options professionals:

• No options data at all — it only covers stocks, ETFs, and indices
• No greeks, no implied volatility — none of the analytics you need for options analysis
• No real-time data — prices are delayed and historical only
• No option chain access — you cannot pull puts, calls, strikes, or expiration dates
• Limited symbols — coverage gaps for international securities and smaller tickers

For basic stock price history, it works. For options data, you need something else entirely.

---

Method 2: Power Query Web Import

Excel's Power Query feature can connect to web-based data sources and import structured tables into your spreadsheet.

Step-by-Step

1. Go to Data → Get Data → From Web
2. Enter the URL of a publicly accessible options data page
3. Power Query will attempt to parse HTML tables from the page
4. Select the table you want, transform as needed, and load into Excel

Limitations

• Manual refresh required — data doesn't update automatically in real time
• Fragile connections — web page layout changes will break your query
• Inconsistent greeks — many public sources don't include delta, gamma, theta, or vega
• No streaming — you get a snapshot, not a live feed
• Terms of service concerns — many financial data providers prohibit automated data extraction from their websites

Power Query can work for occasional, ad-hoc analysis, but it's not a reliable foundation for professional options analytics workflows.

---

Method 3: Broker Platform CSV Export

Most brokerage platforms (TD Ameritrade/Schwab, Interactive Brokers, Fidelity) allow you to export option chain data as CSV files.

Step-by-Step

1. Log into your brokerage platform
2. Navigate to the options chain for your target ticker
3. Export or download the chain as a CSV or Excel file
4. Open the file in Excel

Limitations

• Stale by the time you open it — options prices move by the second
• No live connection — it's a snapshot, not a feed
• Broker-specific format — each platform exports differently, requiring cleanup
• Limited to your broker's coverage — you only see what your broker offers
• No custom analytics — you get raw data without computed greeks or implied volatility calculations

This approach works in a pinch, but financial advisors managing multiple client portfolios need something faster and more integrated.

---

Method 4: Bloomberg Terminal

Bloomberg provides comprehensive options data through its Excel add-in (Bloomberg API). It's the gold standard for institutional trading desks.

Limitations

• Extremely expensive — Bloomberg terminal costs are well-documented as one of the highest in the industry
• Requires dedicated hardware — typically a separate workstation
• Complex formula syntax — the BDH/BDP functions have a steep learning curve
• Overkill for many firms — financial advisors and smaller wealth management firms often don't need (or can't justify) Bloomberg-level infrastructure

If you have a Bloomberg terminal, you already have options data in Excel. For everyone else, there are more accessible solutions.

---

Method 5: The Formula Approach With MarketXLS

MarketXLS is an Excel add-in that gives you direct access to options data through simple spreadsheet formulas. No programming, no API keys to manage, no CSV downloads — just type a formula and get live data.

This is where options data in Excel becomes genuinely powerful. Let's walk through every category of options data you can access.

Getting a Full Option Chain

The foundation of options analysis is the option chain — every available contract for a given underlying. With MarketXLS, a single formula delivers the entire chain:

=QM_GetOptionChain("^SPX")

Formula documentation: QM_GetOptionChain

This returns a dynamic table with every available S&P 500 option contract, including strikes, expirations, bid/ask prices, volume, and open interest. For individual stocks, simply change the ticker:

=QM_GetOptionChain("AAPL")

Formula documentation: QM_GetOptionChain

For a detailed walkthrough of the option chain specifically, see our complete guide to option chains in Excel.

Building Option Symbols

To work with individual option contracts, you need the standardized option symbol. MarketXLS makes this straightforward:

=OptionSymbol("AAPL", "2026-03-21", "C", 200)

Formula documentation: OptionSymbol

This formula returns the OCC-standard symbol @AAPL 260321C00200000, which you can then use in other formulas. The parameters are intuitive:

You can build option symbols dynamically by referencing cells — for example, pulling the ticker from A1, expiration from B1, type from C1, and strike from D1:

=OptionSymbol(A1, B1, C1, D1)

Formula documentation: OptionSymbol

This makes it easy to build option screening tools where you change inputs and see results update instantly.

Getting Live Option Prices

Once you have an option symbol, getting the live price is a single formula:

=QM_Last("@AAPL 260321C00200000")

Formula documentation: QM_Last

This returns the last traded price for that specific AAPL call option. You can also get the current stock price for comparison:

=Last("AAPL")

Formula documentation: Last

Or for real-time streaming prices that update continuously:

=QM_Stream_Last("AAPL")

Formula documentation: QM_Stream_Last

Greeks and Full Analytics

For professional options analysis, you need more than just prices. The greeks — delta, gamma, theta, vega, and rho — are essential for understanding risk exposure and position management. MarketXLS delivers all of them:

=QM_GetOptionQuotesAndGreeks("^SPX")

Formula documentation: QM_GetOptionQuotesAndGreeks

This formula returns a comprehensive table including:

• Delta — how much the option price changes per $1 move in the underlying
• Gamma — rate of change of delta (acceleration)
• Theta — time decay per day
• Vega — sensitivity to implied volatility changes
• Rho — sensitivity to interest rate changes
• Implied Volatility — the market's expectation of future volatility
• Bid/Ask — current market prices
• Volume and Open Interest — liquidity indicators

For any individual stock:

=QM_GetOptionQuotesAndGreeks("AAPL")

Formula documentation: QM_GetOptionQuotesAndGreeks

Instead of calculating greeks yourself with a Black-Scholes model, you get them in one table that refreshes with the workbook.

Historical Price Data

Understanding how options and their underlying assets have performed historically is crucial for backtesting strategies and analyzing trends:

=QM_GetHistory("AAPL")

Formula documentation: QM_GetHistory

This returns historical OHLCV (Open, High, Low, Close, Volume) data that you can use alongside your options analysis. Want to see how the underlying moved during a specific period?

=GetHistory("AAPL", "2025-01-01", "2025-12-31", "d")

Formula documentation: GetHistory

Historical data is essential for:

• Backtesting covered call strategies — did your strike selection hold up historically?
• Analyzing earnings moves — how did the stock react to past earnings announcements?
• Volatility analysis — comparing realized volatility to current implied volatility
• Trend analysis — identifying support and resistance levels before selecting strikes

Technical Indicators for Options Timing

Timing your options entries and exits is critical. MarketXLS includes technical indicators that you can use alongside your options analysis:

=RSI("AAPL")

Formula documentation: RSI

=SimpleMovingAverage("AAPL", 50)

Formula documentation: SimpleMovingAverage

Combining technical analysis with options data helps you identify:

• Oversold conditions (low RSI) that might favor selling puts
• Trend direction (moving average relationship) for directional options strategies
• Support/resistance levels for strike selection

Fundamental Data for Covered Call Selection

When selecting stocks for covered call or cash-secured put strategies, fundamental data matters. MarketXLS gives you:

=PERatio("AAPL")

Formula documentation: PERatio

=DividendYield("AAPL")

Formula documentation: DividendYield

=DividendPerShare("AAPL")

Formula documentation: DividendPerShare

=MarketCapitalization("AAPL")

Formula documentation: MarketCapitalization

=Revenue("AAPL")

Formula documentation: Revenue

Financial advisors often screen for high-quality, dividend-paying stocks with reasonable valuations before layering on options strategies. Having fundamentals alongside options data in the same spreadsheet eliminates the need to switch between platforms.

---

Building a Complete Options Analytics Dashboard

Now that you understand each formula category, let's put it all together. Here's how to build a professional options analytics workspace in Excel:

Step 1: Set Up the Underlying

Step 2: Pull the Option Chain

In cell A5, enter:

=QM_GetOptionChain("AAPL")

Formula documentation: QM_GetOptionChain

This spills the entire chain below, giving you every available contract.

Step 3: Get Full Greeks and Analytics

In a separate sheet or section, enter:

=QM_GetOptionQuotesAndGreeks("AAPL")

Formula documentation: QM_GetOptionQuotesAndGreeks

This gives you the complete analytics picture — prices, greeks, implied volatility, volume, and open interest for every contract.

Step 4: Analyze Specific Contracts

For contracts that interest you, build a focused analysis table:

Step 5: Add Historical Context

On another sheet, pull historical data for the underlying:

=QM_GetHistory("AAPL")

Formula documentation: QM_GetHistory

Use this to chart price action and compare realized volatility against the implied volatility you see in your options chain.

---

Who Benefits From Options Data in Excel?

Financial Advisors

Financial advisors managing client portfolios with options overlays need quick access to greeks and analytics. Building a custom dashboard in Excel — the tool you already use for everything else — eliminates the need for separate, expensive platforms. You can analyze covered call candidates, screen for cash-secured put opportunities, and monitor existing positions all in one workbook.

Asset Managers

Asset managers running options-based strategies across multiple accounts need systematic access to options data. MarketXLS formulas can be combined with Excel's built-in functions to create automated screening, monitoring, and reporting workflows. Pull option chains for dozens of tickers, compare implied volatility across expirations, and generate client-ready reports without leaving Excel.

Wealth Managers and Family Offices

Wealth managers and family offices often use options for tax-efficient hedging, income generation, and risk management. Having options data directly in Excel means you can build custom models that match your specific strategies — collar strategies for concentrated stock positions, protective puts for portfolio insurance, or systematic covered call writing programs.

Independent Traders and Researchers

If you're conducting options research — analyzing volatility surfaces, studying put-call ratios, or backtesting options strategies — having raw data in Excel gives you the flexibility to build custom analyses that pre-built platforms don't support.

---

Pro Tips for Working With Options Data in Excel

Tip 1: Use Dynamic Ticker References

Instead of hardcoding tickers into every formula, put the ticker in a single cell and reference it:

=QM_GetOptionChain(A1)

Formula documentation: QM_GetOptionChain

Change the ticker in A1, and your entire dashboard updates instantly.

Tip 2: Combine Chain Data With Custom Filters

After pulling an option chain with =QM_GetOptionChain("AAPL"), use Excel's built-in FILTER function to isolate exactly what you need — for example, only calls with a specific expiration date, or only contracts with open interest above a threshold.

Tip 3: Monitor Multiple Underlyings

Build a watchlist sheet with tickers in column A and use formulas across each row:

=Last(A1)
=PERatio(A1)
=DividendYield(A1)

Formula documentation: Last, PERatio, DividendYield

Then use =QM_GetOptionChain(A1) on dedicated sheets for each ticker you're actively trading options on.

Tip 4: Stream Prices for Active Monitoring

When you need real-time price updates for the underlying while monitoring options positions:

=QM_Stream_Last("AAPL")

Formula documentation: QM_Stream_Last

This gives you a continuously updating price feed without manual refresh.

Tip 5: Build Expiration Calendars

Use =OptionSymbol() with different expiration dates to build a term structure view — comparing option prices and implied volatility across near-term, medium-term, and long-term expirations for the same strike.

---

Pricing and Plans

MarketXLS offers multiple plans with varying levels of options data access. US plans for non-professional users are Standard ($70/month billed annually; end-of-day options data), Advanced ($125/month billed annually; real-time streaming options), and Business ($200/month billed annually). Streaming uses one live subscription per option contract, and options tracking is limited to 300 symbols.

For current plan details and pricing, see the MarketXLS pricing page →.

---

Frequently Asked Questions

Can I get real-time options greeks in Excel without programming?

Yes. With the MarketXLS add-in, the formula =QM_GetOptionQuotesAndGreeks("AAPL") returns live greeks — delta, gamma, theta, vega, rho — plus implied volatility and pricing data directly in your spreadsheet. No VBA, no API coding, no external scripts required.

What's the difference between QM_GetOptionChain and QM_GetOptionQuotesAndGreeks?

=QM_GetOptionChain("AAPL") returns the full option chain with basic pricing data — strikes, expirations, bid, ask, volume, and open interest. =QM_GetOptionQuotesAndGreeks("AAPL") returns the same contracts but adds calculated greeks (delta, gamma, theta, vega, rho) and implied volatility. Use the chain formula for quick scanning and the greeks formula for detailed analysis.

How do I get historical options data in Excel?

MarketXLS provides historical data for the underlying stock via =QM_GetHistory("AAPL") (or =GetHistory("AAPL", startDate, endDate, periodicity) in the Microsoft 365 add-in), and historical option chains via =OPT_HistoricalOptionChain(). For options-specific historical analysis, you can combine historical stock data with current implied volatility from the options chain to compare realized vs. implied volatility over time.

Does this work with index options like SPX?

Yes. Both =QM_GetOptionChain("^SPX") and =QM_GetOptionQuotesAndGreeks("^SPX") work with index options. Use the ^ prefix for indices. This covers S&P 500 options, which are among the most actively traded contracts in the world.

Can I build an options screener in Excel with this data?

Yes. Pull option chains for multiple tickers, then use Excel's native FILTER, SORT, and conditional formatting to screen for contracts that meet your criteria, for example high implied volatility, specific delta ranges, or minimum open interest thresholds. Since the data lives in Excel, you have full control over your screening logic.

How often does the options data update?

MarketXLS options data is real-time during market hours on the Advanced and Business plans and end-of-day on the Standard plan. The =QM_Last() formula returns the latest traded price for any option contract, and =QM_Stream_Last() provides continuous streaming updates for the underlying stock. Greeks and implied volatility from =QM_GetOptionQuotesAndGreeks() refresh with each recalculation.

---

The Bottom Line

Getting comprehensive options data in Excel doesn't have to involve complex API integrations, expensive terminal subscriptions, or fragile web scraping setups. The methods range from free but limited (Excel's built-in functions) to professional-grade (Bloomberg) to a purpose-built Excel add-in like MarketXLS that delivers live option chains, greeks, implied volatility, and pricing through simple formulas.

For financial advisors, asset managers, and wealth managers who already live in Excel, adding options data directly to your existing workflows means faster analysis, better client reporting, and more informed decision-making — all without switching platforms or learning new software.

The formulas covered in this guide (=QM_GetOptionChain(), =QM_GetOptionQuotesAndGreeks(), =OptionSymbol(), and =QM_Last()) are the building blocks for an options analytics dashboard in Excel.

Get Started With MarketXLS →

Ready to explore more? Check out our complete guide to option chains in Excel, learn about options trading strategies, or browse the full list of MarketXLS functions to see everything available.

For a worksheet-first learning path, use the OptionXLS options data in Excel guide. It connects option chains, quotes, Greeks and historical snapshots without duplicating the MarketXLS product documentation.

See MarketXLS Plans and Pricing →