SPX Options Screener Excel: Filter, Rank & Find the Best S&P 500 Options Trades

SPX Options Screener Excel is the tool that serious index options traders have been waiting for. The S&P 500 Index options chain is one of the largest and most actively traded in the world, with thousands of contracts spread across daily, weekly, monthly, and quarterly expirations. Each expiration carries hundreds of strike prices for both calls and puts, and every single contract has its own set of Greeks, implied volatility, bid-ask spread, volume, and open interest. Trying to manually scan through all of that data on a broker platform or the CBOE website is not just tedious — it is genuinely impossible to do thoroughly. You will miss opportunities, waste time scrolling, and inevitably settle for "good enough" instead of finding the optimal trade.

A spreadsheet-based options screener changes everything. When you bring the entire SPX option chain into Excel, you gain the ability to filter, sort, rank, and score contracts using any criteria you want. You are no longer limited to whatever filters your broker decided to build into their platform. You can combine Greeks with volume data, layer in implied volatility rankings, calculate custom metrics like premium-to-width ratios for credit spreads, and save your screening templates so you can reuse them day after day. MarketXLS makes this possible with a comprehensive set of functions that pull real-time SPX option chain data directly into your spreadsheet, giving you the raw material to build any screener you can imagine.

In this guide, you will learn exactly how to build an SPX options screener in Excel from the ground up, explore the specific MarketXLS functions that power it, walk through practical screening workflows for income trading, 0DTE setups, event plays, and delta-neutral strategies, and see a fully worked example of finding the best iron condor trade. By the end, you will have everything you need to stop browsing and start screening.

Why Screen SPX Options?

Before diving into the how, it is worth understanding why screening SPX options is so different from screening options on individual stocks. The SPX option chain is uniquely massive and uniquely complex.

The Scale Problem

On any given trading day, the SPX option chain contains contracts across dozens of active expirations. There are daily expirations (0DTE contracts that expire the same day), weekly expirations every Monday, Wednesday, and Friday, standard monthly expirations on the third Friday, and quarterly expirations. Each expiration typically has hundreds of strike prices listed for both calls and puts. When you multiply dozens of expirations by hundreds of strikes by two contract types (calls and puts), you are looking at tens of thousands of individual contracts. No human being can scan all of that manually.

The Filtering Challenge

Even if you could somehow look at every contract, you would need to filter them by multiple criteria simultaneously. An income trader looking for credit spreads needs to find contracts that are out of the money, have sufficient premium relative to the spread width, adequate open interest for clean fills, acceptable implied volatility levels, and the right delta exposure. A 0DTE trader needs same-day expiration, high volume, tight bid-ask spreads, and specific delta or gamma characteristics. A trader positioning for an economic event needs elevated implied volatility relative to historical norms, combined with specific expiration timing.

Broker platforms typically let you filter by one or two criteria at a time. You can sort by volume, or filter by expiration, but you cannot easily combine five or six criteria into a single view and then rank the results. That is exactly what a spreadsheet screener does.

The Consistency Problem

Professional traders do not make ad hoc decisions about which strikes to trade. They have systematic criteria — specific delta ranges, minimum volume thresholds, implied volatility percentile cutoffs, and premium targets. A spreadsheet screener lets you codify those rules once and apply them consistently every single day. This eliminates the emotional bias that creeps in when you are manually browsing chains and get drawn to whatever "looks good" in the moment.

The Speed Advantage

When opportunity strikes — a volatility spike, an unexpected economic release, a sudden market move — you need to find the right contracts fast. A well-built screener can pull the entire SPX chain, apply your filters, and surface the top candidates in seconds. By the time another trader has finished scrolling through their broker platform, you have already identified your trade and are placing your order. For more on why options data in Excel matters, see our guide on options data in Excel: Greeks, prices, and analytics.

Building an SPX Options Screener in Excel

Now let us build the screener step by step. Each section introduces a specific MarketXLS function and explains how it fits into your screening workflow.

Step 1: Pull the Full SPX Option Chain

The foundation of any screener is the raw data. To pull the complete SPX option chain into your spreadsheet, use:

=QM_GetOptionChain("^SPX")

This function returns the entire option chain for the S&P 500 Index, including every active expiration and every listed strike price. The output includes contract symbols, expiration dates, strike prices, contract types (call or put), last prices, bid and ask prices, volume, and open interest. This is your starting dataset — the universe of contracts that your screener will filter down.

The data spills into a range of cells starting from where you place the formula. Because the SPX chain is so large, make sure you have enough empty rows and columns below and to the right of your formula cell.

Step 2: Add Greeks and Detailed Quotes

Raw chain data gives you prices and volume, but serious screening requires Greeks. To add delta, gamma, theta, vega, and implied volatility to your data, use:

=QM_GetOptionQuotesAndGreeks("^SPX")

This function returns the full option chain enriched with Greek values for every contract. Delta tells you the directional exposure, gamma measures how fast delta changes, theta quantifies time decay, vega shows sensitivity to implied volatility changes, and implied volatility itself tells you how expensive the option is relative to historical norms. These fields become the primary filtering criteria in most screening workflows.

Step 3: Filter by Expiration Type

The SPX chain includes many different expiration cycles. Rather than pulling everything and filtering afterward, you can pull only the expirations you care about:

Weekly expirations only:

=QM_GetOptionChainWeeklies("^SPX")

Monthly expirations only:

=QM_GetOptionChainMonthlies("^SPX")

Near-term expirations (closest dates):

=QM_GetOptionChainNearTerm("^SPX")

Weekly options are popular with short-term income traders and 0DTE specialists. Monthly options are the standard choice for swing traders and longer-term positioning. Near-term options give you the contracts closest to expiration, which is useful for traders focused on time decay acceleration or gamma scalping.

Step 4: Filter by Moneyness

Another powerful pre-filter is moneyness — whether the option is in the money, at the money, or out of the money:

At-the-money options:

=QM_GetOptionChainAtTheMoney("^SPX")

Out-of-the-money options:

=QM_GetOptionChainOutOfTheMoney("^SPX")

In-the-money options:

=QM_GetOptionChainInTheMoney("^SPX")

Income traders who sell credit spreads primarily care about out-of-the-money options. Traders looking for directional plays at the cheapest price point also focus on OTM contracts. At-the-money options are relevant for straddle and strangle traders who want maximum vega exposure. In-the-money options matter for deep ITM strategies and synthetic positions.

Step 5: Get Available Expirations and Strikes

To build dropdown menus or dynamic selection lists in your screener, you need to know what expirations and strikes are currently available:

List all available expirations:

=Expirations("^SPX")

List all available strikes:

=Strikes("^SPX")

These functions return clean lists that you can use with Excel's data validation feature to create dropdown selectors. This makes your screener interactive — select an expiration from a dropdown, and the rest of your sheet updates to show only contracts for that date.

Step 6: Find the Most Active Contracts

Liquidity is critical for SPX options trading. Wide bid-ask spreads eat into your edge, and low-volume contracts can be difficult to fill at fair prices. MarketXLS provides two functions specifically designed to surface the most liquid contracts:

Top contracts by volume:

=TopOptionsByVolume("^SPX")

Top contracts by open interest:

=TopOptionsByOpenInterest("^SPX")

Volume tells you what is trading right now — today's activity. Open interest tells you what positions are already established — the accumulated interest over time. Both are valuable screening criteria. High volume means tight spreads and easy fills. High open interest means there is a deep market of existing positions, which often correlates with key support and resistance levels.

For contracts that are actively trading with tight spreads and high participation, you can also use:

=QM_GetOptionChainActive("^SPX")

This pulls only the most active contracts, giving you an instant shortlist of the most liquid SPX options available.

Step 7: Market-Level Statistics

Before screening individual contracts, it is often useful to understand the overall state of the SPX options market:

Market statistics:

=QM_GetOptionMarketStats("^SPX")

Recent statistics:

=QM_GetRecentOptionStats("^SPX")

These functions provide aggregate data like total put volume, total call volume, the put-call ratio, average implied volatility levels, and other market-wide metrics. This context helps you decide what kind of screening workflow to run. If the put-call ratio is elevated, you might screen for put credit spreads to take the other side. If implied volatility is at historical highs, you might screen for premium-selling opportunities.

Step 8: Implied Volatility

Implied volatility is arguably the single most important metric for options screening. To get the current implied volatility for SPX:

=ImpliedVolatility("^SPX")

This gives you the aggregate implied volatility level for the index. You can compare this against historical levels to determine whether options are cheap or expensive, which directly informs whether you should be a net buyer or net seller of premium.

Step 9: Structured Data for Advanced Screening

For building more sophisticated screeners that need the data organized in a specific format:

=QM_GetOptionChainStructured("^SPX")

This returns the option chain in a structured layout that is easier to work with for advanced Excel formulas, pivot tables, and conditional formatting. The structured format makes it straightforward to build VLOOKUP or INDEX/MATCH formulas that cross-reference different parts of the chain.

Dynamic vs Static Functions: An Important Distinction

MarketXLS provides two versions of many option chain functions — static and dynamic. Understanding the difference is essential for building an effective screener.

Static Functions

The standard functions like =QM_GetOptionChain("^SPX") are static. They pull data when the formula is calculated (when you press Enter, when the sheet recalculates, or when you manually trigger a refresh). The data represents a snapshot at the moment of calculation. This is ideal for end-of-day analysis, for building screening templates that you run once at a specific time, or for any workflow where you want to capture a moment in time and then work with the data without it changing.

Dynamic Functions

Dynamic functions like =QM_GetOptionChainDynamic("^SPX") auto-refresh at regular intervals, streaming updated data into your sheet continuously. This is essential for intraday screening, where prices, volume, and Greeks are changing in real time. If you are screening for 0DTE opportunities or reacting to market events, you need dynamic functions so your screener reflects the current state of the market, not data from five minutes ago.

When to Use Each

Use static functions when you are doing end-of-day screening, building reports, backtesting screening criteria, or when you want to minimize bandwidth and processing load. Use dynamic functions when you are actively trading intraday, screening for 0DTE setups, monitoring positions in real time, or when you need the most current data possible. Many traders use a hybrid approach: a static screener for daily morning analysis, and a dynamic sheet for intraday monitoring of the candidates their morning screen identified.

Screening Workflows: Four Practical Approaches

With the data functions in place, let us build four distinct screening workflows that cover the most common SPX options trading styles.

Workflow 1: Income Screener — Finding High-Premium Credit Spreads

Income traders sell options premium through credit spreads, collecting upfront cash in exchange for taking on defined risk. The key screening criteria for this workflow are:

1. Pull OTM options: Start with =QM_GetOptionChainOutOfTheMoney("^SPX") to get only out-of-the-money contracts, which is where credit spread sellers operate.

2. Filter by expiration: Use Excel's filtering to isolate contracts in the 30-45 day-to-expiration (DTE) sweet spot, which balances time decay acceleration with sufficient premium collection.

3. Screen by delta: Filter for contracts with a delta between approximately -0.10 and -0.20 for put spreads (or 0.10 to 0.20 for call spreads). This gives you a statistical edge with roughly a 80-90 percent probability of expiring out of the money.

4. Calculate premium-to-width ratio: For each potential spread, create a formula that divides the net credit received by the width between strikes. For example, if you receive $3.50 on a 10-point-wide spread, your premium-to-width ratio is 35 percent. Screen for ratios above your minimum threshold (many traders target 25-35 percent).

5. Check volume and open interest: Use conditional formatting to highlight contracts with volume above 100 and open interest above 500, ensuring sufficient liquidity for clean fills.

6. Sort by the premium-to-width ratio in descending order. The top results are your best income trade candidates.

If you are interested in credit spread strategies specifically, check out our detailed guide on the iron condor options strategy, which builds on the credit spread approach with both a put spread and a call spread.

Workflow 2: 0DTE Screener — Same-Day Expiry Opportunities

Zero-days-to-expiration (0DTE) trading on SPX has exploded in popularity. These contracts expire the same day they are traded, offering huge gamma and rapid price movement. The screening workflow is different from traditional options screening because speed and liquidity matter more than anything else.

1. Pull near-term and active options: Combine =QM_GetOptionChainNearTerm("^SPX") with =QM_GetOptionChainActive("^SPX") to find today's expiring contracts that have active trading.

2. Filter for today's expiration: In Excel, add a formula column that compares each contract's expiration date to today's date using =IF(expiration_cell=TODAY(), "0DTE", "") and filter for "0DTE" only.

3. Screen by volume: 0DTE trading requires extreme liquidity. Filter for contracts with volume above 1,000. Use =TopOptionsByVolume("^SPX") as a cross-reference to make sure you are trading the most active strikes.

4. Focus on ATM and near-ATM strikes: Use =QM_GetOptionChainAtTheMoney("^SPX") to identify the at-the-money level, then screen for contracts within 20-30 points of that strike.

5. Monitor Greeks in real time: For 0DTE, use the dynamic version =QM_GetOptionChainDynamic("^SPX") because gamma and delta change rapidly on expiration day. A contract that was 0.30 delta an hour ago might be 0.50 delta now.

6. Calculate risk-reward: Create formulas that estimate the potential move based on current implied volatility and remaining time, comparing that against the premium being paid. The goal is to find contracts where the market is underpricing the potential move.

Workflow 3: Event Screener — Elevated IV Before Catalysts

Before major economic releases (Fed meetings, CPI reports, employment data, GDP releases), implied volatility on SPX options tends to expand. Traders who sell this elevated premium — or buy options strategically to participate in the expected move — need to identify which contracts offer the best opportunity.

1. Check market-level IV: Start with =ImpliedVolatility("^SPX") and =QM_GetOptionMarketStats("^SPX") to understand the overall volatility environment.

2. Pull the full chain with Greeks: Use =QM_GetOptionQuotesAndGreeks("^SPX") to get implied volatility for every individual contract.

3. Filter by expiration: Focus on the expiration that immediately follows the event. If the Fed meeting is Wednesday, screen options expiring that Wednesday or Friday.

4. Identify elevated IV contracts: Create a column that compares each contract's implied volatility to the at-the-money implied volatility for that expiration. Contracts trading at a significant premium to ATM IV may represent skew opportunities.

5. Screen for vega exposure: If you are selling premium into elevated IV, sort by vega in descending order to find the contracts with the most sensitivity to a volatility crush after the event.

6. Check the put-call ratio: Use =QM_GetRecentOptionStats("^SPX") to see whether the market is skewed toward puts or calls ahead of the event. Contrarian traders may want to sell what the crowd is buying.

Workflow 4: Delta-Neutral Screener — Iron Condors and Strangles

Delta-neutral strategies like iron condors and strangles require finding pairs of options (a put and a call) that create a balanced position with minimal directional bias. The screening process focuses on finding the right combination of strikes.

1. Pull OTM puts and calls separately: Use =QM_GetOptionChainOutOfTheMoney("^SPX") and filter your data into separate put and call sections.

2. Target specific delta levels: For a standard iron condor, screen for short put strikes with delta around -0.15 and short call strikes with delta around 0.15. This creates a position with roughly a 70 percent probability of both sides expiring worthless.

3. Match expirations: Ensure you are comparing puts and calls with the same expiration date. The 30-45 DTE range is most common for iron condors.

4. Calculate total credit: For each potential iron condor, create a formula that sums the credit from the put spread and the call spread. For example, if you are selling a 5500/5490 put spread for $2.00 and a 5900/5910 call spread for $2.00, your total credit is $4.00 on a $10-wide condor.

5. Rank by return on risk: Divide the total credit by the maximum risk (spread width minus credit received) and sort descending. The best iron condor candidates will have the highest return-on-risk ratios.

6. Verify liquidity on all four legs: Use conditional formatting to flag any leg where volume is below 50 or open interest is below 200. An iron condor is only as liquid as its least liquid leg.

For a deeper dive into the SPX versus SPY decision for these strategies, read our SPX vs SPY options comparison, which covers the tax advantages, settlement differences, and contract sizing considerations.

Worked Example: Finding the Best SPX Iron Condor

Let us walk through a complete, concrete example of using the SPX options screener to identify the optimal iron condor trade. This example ties together multiple functions and screening criteria into a single, practical workflow.

Step 1: Set the Parameters

Start by defining your target criteria at the top of your spreadsheet:

• Target DTE: 30-45 days
• Short strike delta: Approximately 0.15 (both sides)
• Minimum credit per spread: $2.00
• Minimum volume per leg: 50 contracts
• Minimum open interest per leg: 200 contracts
• Spread width: 10 points

Step 2: Pull the Data

In cell A10, enter:

=QM_GetOptionQuotesAndGreeks("^SPX")

This populates your sheet with the complete SPX option chain including all Greeks. You now have thousands of rows of data — every listed contract with its delta, gamma, theta, vega, implied volatility, volume, open interest, bid, ask, and last price.

Step 3: Identify Available Expirations

In a separate area of your sheet, pull the available expirations:

=Expirations("^SPX")

From this list, identify the expirations that fall in the 30-45 DTE window. If today is February 14, 2026, you are looking at expirations roughly between March 16 and March 31, 2026.

Step 4: Filter and Score

Create a filtered view (or use Excel's built-in filter feature) with the following criteria applied to your chain data:

1. Expiration filter: Only show rows where the expiration date falls within your 30-45 DTE window.
2. OTM filter: Only show puts with strikes below the current SPX price and calls with strikes above.
3. Delta filter: Only show contracts where the absolute value of delta is between 0.10 and 0.20.
4. Volume filter: Only show contracts with volume greater than or equal to 50.
5. Open interest filter: Only show contracts with open interest greater than or equal to 200.

After applying these filters, you will have a much smaller universe of candidate contracts — perhaps 20-40 options instead of thousands.

Step 5: Build the Condor Candidates

For each qualifying put strike, pair it with the strike 10 points lower (the long put leg). For each qualifying call strike, pair it with the strike 10 points higher (the long call leg). Calculate the credit for each spread as the difference between the short leg's mid-price (average of bid and ask) and the long leg's mid-price.

Then, combine each put spread with each call spread at the same expiration to form complete iron condor candidates. For each candidate, calculate:

• Total credit: Put spread credit + Call spread credit
• Maximum risk: Spread width ($10) minus total credit
• Return on risk: Total credit divided by maximum risk, expressed as a percentage
• Breakeven range: Short put strike minus total credit (lower) to short call strike plus total credit (upper)
• Breakeven width as percent of SPX: How wide your profit zone is relative to the current index level

Step 6: Rank and Select

Sort your iron condor candidates by return on risk in descending order. The top entries represent the most efficient use of capital and margin. However, do not blindly select the top result — review the breakeven range to make sure it is wide enough to accommodate normal market fluctuation over the holding period.

A typical high-quality SPX iron condor in a normal volatility environment might look like this:

• Expiration: 35 DTE
• Short put: 5450 (delta -0.14)
• Long put: 5440
• Short call: 5900 (delta 0.16)
• Long call: 5910
• Put spread credit: $2.50
• Call spread credit: $2.20
• Total credit: $4.70
• Max risk: $5.30
• Return on risk: 88.7%
• Breakeven range: 5445.30 to 5904.70

This entire process — from pulling the data to having a ranked list of iron condor candidates — takes about two minutes once your screener template is built. Compare that to manually scanning the chain on a broker platform, which could take 30 minutes or more and would likely miss the optimal combination.

To calculate the projected profit and loss of your selected iron condor across different scenarios, use the Options Profit Calculator, which lets you model outcomes based on price changes, time decay, and volatility shifts.

Comparing SPX Screening Methods

How does an Excel-based SPX options screener compare to the alternatives? Here is a side-by-side breakdown of the most common screening methods available to traders:

Broker Scanners (TD Ameritrade, Schwab, Interactive Brokers)

Broker platforms offer built-in options scanners with pre-set filter categories. They provide real-time data, but customization is limited to the filters the broker has built. You can typically filter by one or two criteria at a time. Multi-expiration screening is usually not available in a single view. Greeks are displayed but not easily sortable or rankable across the entire chain. These scanners are included with your brokerage account at no additional cost, but they cannot match the flexibility of a spreadsheet approach.

CBOE Website

The Chicago Board Options Exchange provides SPX chain data on its website. The data is delayed by 15-20 minutes for non-subscribers, which makes it unsuitable for intraday screening. Customization is minimal — you can view the chain for a single expiration at a time, but there are no screening or filtering tools. Greeks are not always displayed. It is free to use, but the limitations make it useful only for basic reference, not for active screening.

Third-Party Options Scanners

Services like OptionSonar, Unusual Whales, and similar platforms provide dedicated options scanning tools. Many offer real-time data, predefined scans (unusual volume, large trades, IV rank), and some customization. However, they are purpose-built tools with fixed interfaces — you cannot create entirely custom metrics, combine criteria in novel ways, or integrate with your own trading models. Pricing ranges from moderate to expensive monthly subscriptions, and the customization ceiling is lower than what you can achieve in a spreadsheet.

MarketXLS Excel Screener

Building your screener in Excel with MarketXLS gives you real-time data through dynamic functions, unlimited customization through Excel's formula engine, simultaneous multi-expiration screening, full Greeks for every contract, and the ability to save, reuse, and iterate on your screening templates over time. You can build any metric you can express as a formula, combine as many criteria as you want, and produce ranked outputs tailored exactly to your trading strategy. The platform requires a MarketXLS subscription — visit the pricing page for current options.

The key differentiator is ownership and flexibility. With a broker scanner or third-party tool, you are limited to what they built. With an Excel screener, you are limited only by what you can imagine.

Frequently Asked Questions

Can I screen SPX options in real-time?

Yes. MarketXLS provides dynamic functions like =QM_GetOptionChainDynamic("^SPX") that auto-refresh at regular intervals, streaming updated data into your spreadsheet continuously throughout the trading day. This means your screener filters and rankings update automatically as prices, volume, and Greeks change in real time. For the most responsive intraday screening, use the dynamic versions of the chain functions. For end-of-day analysis or when you want a static snapshot, use the standard functions like =QM_GetOptionChain("^SPX").

How do I filter by delta range?

After pulling the option chain with Greeks using =QM_GetOptionQuotesAndGreeks("^SPX"), the delta value is included in the output for every contract. You can use Excel's built-in filter feature to show only rows where delta falls within your target range (for example, between 0.10 and 0.20 for short call candidates, or between -0.20 and -0.10 for short put candidates). Alternatively, add a helper column with a formula like =IF(AND(ABS(delta_cell)>=0.10, ABS(delta_cell)<=0.20), "TARGET", "") and filter for "TARGET" to isolate your desired delta range. This approach works with any Greek — you can filter by gamma, theta, vega, or implied volatility using the same technique.

What is the difference between static and dynamic chain functions?

Static functions like =QM_GetOptionChain("^SPX") pull a snapshot of the option chain at the moment the formula calculates. The data does not change until you manually trigger a recalculation or re-enter the formula. Dynamic functions like =QM_GetOptionChainDynamic("^SPX") automatically refresh at regular intervals, continuously updating the data in your spreadsheet. Use static functions for end-of-day analysis, report generation, and situations where you want to work with a fixed dataset. Use dynamic functions for intraday trading, real-time monitoring, and any workflow where you need the most current market data.

Can I screen across multiple expirations at once?

Absolutely. The function =QM_GetOptionChain("^SPX") pulls the entire chain across all expirations simultaneously. This means your screener can filter, rank, and compare contracts from different expirations side by side. For example, you can find the best credit spread across all expirations in the 30-45 DTE window, rather than checking each expiration one at a time. If you want to narrow the scope, you can use =QM_GetOptionChainWeeklies("^SPX") for only weekly expirations, =QM_GetOptionChainMonthlies("^SPX") for only monthlies, or =QM_GetOptionChainNearTerm("^SPX") for the closest expirations. The =Expirations("^SPX") function gives you a complete list of available dates to work with.

How do I find the most liquid SPX options?

Liquidity in options is measured by volume (how many contracts have traded today), open interest (how many contracts are currently held in open positions), and bid-ask spread width. MarketXLS provides two dedicated functions for this: =TopOptionsByVolume("^SPX") returns the contracts with the highest trading volume, and =TopOptionsByOpenInterest("^SPX") returns the contracts with the largest open interest. You can also use =QM_GetOptionChainActive("^SPX") to pull only the most actively traded contracts. In your screener, combine these data points by adding conditional formatting that highlights contracts where both volume and open interest exceed your minimum thresholds, ensuring you are only considering contracts where you can get filled quickly and at fair prices.

Can I save and reuse my screening criteria?

Yes, and this is one of the biggest advantages of building your screener in Excel rather than using a broker platform or web-based tool. Once you set up your filtering formulas, conditional formatting rules, sorting criteria, and helper columns, you simply save the workbook. The next day, when you open it and let the data refresh, your entire screening workflow runs automatically on the updated chain data. You can create multiple worksheets within the same workbook — one for income screening, one for 0DTE, one for event plays — and switch between them as needed. You can also create template workbooks that you copy and customize for different strategies without rebuilding from scratch. Your screening criteria become a reusable, evolving asset that improves over time as you refine your approach.

Start Screening SPX Options Today

The SPX option chain is too large and too complex to navigate manually. Whether you trade iron condors, credit spreads, 0DTE setups, or volatility plays, a spreadsheet-based screener gives you the speed, precision, and customization that broker platforms and web tools simply cannot match.

MarketXLS puts the entire SPX options universe at your fingertips with real-time chain data, complete Greeks, volume and open interest rankings, and both static and dynamic function options. Build your screener once, save it, and use it every trading day to find the best S&P 500 options trades systematically.

Ready to model the profitability of your screened trades? Use the Options Profit Calculator to visualize outcomes across different scenarios. And for the complete MarketXLS toolkit, visit MarketXLS to find the plan that fits your trading needs.