How Options Liquidity Impacts Your Market Data Needs
No matter the asset class you trade, liquidity is essential to taking a market position. High liquidity allows traders to efficiently enter and exit positions at stable, desirable prices. In turn, it supports trade strategy execution and reduces slippage, helping maximize profits.
In the options market, liquidity becomes even more important because of the market’s unique structure and use cases. Lower trading volume, instrument fragmentation, and hedging activity all create unconventional conditions that affect liquidity and shape how a portfolio manager or head of trading defines strategy. Understanding how these market intricacies affect liquidity also enables decision-makers to identify cost efficiencies in market data.
Uneven Distribution in Options Liquidity
Options liquidity is still heavily concentrated in a relatively small set of active underlyings, even though the listed options market itself is enormously broad. Cboe noted that the five single stocks with the highest average daily options volume as of August 2024 were NVDA, TSLA, AAPL, AMD, and AMZN, each with thousands of overlying options series. At the same time, Cboe said roughly 1.45 million individual index and equity options series traded in 2023. That contrast highlights a core reality of options market structure: firms may need to support a very large universe of possible instruments, but meaningful trading activity and liquidity tend to cluster in a much smaller portion of it.
Highly Liquid Options
The concentration of options activity is still pronounced, but the mix has evolved. In 2025, U.S.-listed options averaged 61 million contracts per day, with especially heavy activity in index and ETF-linked products. Cboe reported that SPX averaged 3.9 million contracts per day in 2025, including 2.3 million 0DTE contracts, while VIX averaged 858,000 contracts per day. At the single-stock level, activity continued to cluster in a relatively small set of names. Cboe identified NVDA, TSLA, AAPL, AMD, and AMZN as the top five single-stock underlyings by options ADV as of August 2024.
Table 1. Average Daily Volumes for 10 Most Liquid Options, Q2 2019
| Rank | Instrument | Ticker | Underlying Asset Type | Trading Volume (ADV) |
| 1 | S&P 500 Index | SPX | Index | 3.9M |
| 2 | Cboe Volatility Index | VIX | Index | 858K |
| 3 | NVIDIA | NVDA | Stock | Among Top 5 |
| 4 | Tesla, Inc | TSLA | Stock | Among Top 5 |
| 5 | Apple, Inc | AAPL | Stock | Among Top 5 |
| 6 | Advanced Micro Devices Inc | AMD | Stock | Among Top 5 |
| 7 | Amazon, Inc | AMZN | Stock | Among Top 5 |
Source: CBOE
Underlying assets vary in this mix, but the pattern is clear: options activity continues to cluster around broad market exposure and a relatively small set of highly liquid names. Index and ETF-linked products remain central because they support portfolio-level hedging and tactical positioning, while the most active single-stock options tend to center on names with deep underlying liquidity and sustained trading interest. In other words, liquidity is not evenly spread across the listed options universe. It is concentrated in the products, and underlying traders return to it most often for hedging, short-dated positioning, and high-turnover trading strategies
Unique Market Conditions Affecting Option Liquidity
In addition to the hedging and diversification behaviors of market participants in the option market, there are several structural factors inherent to the market that create unique conditions for traders seeking liquidity in options.
Lower Total Trading Volume
A large complication to sourcing liquidity in the options market is lower trading volume market-wide than in U.S. equities. In 2025, listed options averaged about 60.6 million contracts per day, while U.S. equities averaged roughly 17.7 billion shares per day through November 2025. Even in highly active products, options liquidity remains smaller than liquidity in the underlying cash market. Consider SPDR S&P 500 ETF Trust (SPY), which State Street describes as the world’s most traded ETF at about 64 million shares per day on average. That kind of depth in the underlying cash market helps explain why even liquid options can still be marginal relative to the assets they reference. Lower overall trading activity in options introduces complications to liquidity that are further exacerbated by the fragmentation of the asset class.
Fragmentation in Option Chains
Inherent in the structure of options chains, expiration dates, and strike prices fragment instruments and dilute liquidity. Unlike the structure in equities, these characteristics decentralize liquidity, offering greater options to hedge a single equity instrument. Therefore, in addition to defining the liquidity of an options chain overall, quantifying open interest and trading volume of a particular expiration date and strike price is necessary to gauge if an option is liquid enough for a trader’s strategy.
Liquidity may diminish for expiration dates that are soon or are months away, as well as if those dates are not widely available. Likewise, strike prices too far in-the-money or out-of-the-money will lack interested traders in opposing positions to match the quotes. For this reason, liquidity may centralize on common expiration dates and strike prices, limiting the flexibility of a trade strategy.
Option Liquidity and Cost-Efficiency in Market Data Infrastructure
Two key measures of liquidity—trading volume and open interest—are available from Level 1 data feeds. As a result, firms can navigate many of the complexities of options liquidity without the expense and overhead of Level 2 depth. For many workflows, the Options Price Reporting Authority (OPRA) feed remains the most practical way to access consolidated U.S.-listed options quotes and trades.
But in 2026, the cost discussion does not stop with exchange fees. Running OPRA reliably has become an operational challenge in its own right, as bursty message rates can put pressure on networks, processors, and downstream applications in milliseconds. That means firms are not just deciding which data they need. They are also deciding how to deliver it in a way that aligns with the needs of each workflow and avoids unnecessary infrastructure strain.
Understanding how liquidity concentrates across the options market helps firms make those decisions more intelligently. When traders and downstream systems only consume the instruments and delivery shape they actually need, firms can reduce operational burden without losing the market context required for strategy, risk, or surveillance. That is where a managed service model becomes compelling. Exegy’s Axiom for OPRA is designed to reduce the infrastructure and operational burden of consuming high-volume options data by delivering normalized OPRA through a managed service, with support for fit-for-purpose distribution such as full-feed, filtered, or sliced delivery.
In other words, cost-efficiency in options market data is no longer just about buying less data. It is about consuming OPRA in a way that matches how your firm actually trades and operates.
