Glossary

Market Data

Easy

Market data is a record of what happens in a market.

What Is Market Data?

Market data is real-time and historical information about trading activity, including prices, orders, and volumes.

In essence, it is a record of what happens in a market. Every time a buyer and seller agree on a price, an order is placed or cancelled, or a trade occurs, new data is created. Together, this information shows how a market behaves over time. Market data plays a key role in analysis, execution, compliance, and risk management across crypto markets.
In traditional finance, the term is well-established. It usually refers to prices, quotes, and volumes published by exchanges and licensed data vendors. 
In crypto, the picture is broader. The asset class spans thousands of venues, from centralized exchanges and decentralized protocols to derivatives platforms and prediction markets. All such venues produce their own continuous streams of trading activity. Handling that data quickly at scale is one of the core challenges in professional crypto trading.

What Types of Market Data Exist?

Market data comes in several forms, including tick-level records, volume, order book data, derivatives data, and onchain data.

Tick-level data is the event-by-event record of all exchange activity. This can include order placements, cancellations, trades, and updates to price or size. It is the most detailed type of data and is often used in advanced trading strategies.

Trade volume data condenses individual trades into a single metric. Usually expressed in nominal terms such as U.S. dollars, token units, or contract counts, these metrics gauge liquidity and market conviction over a concrete period of time. 

Order book data, also known as Level 2 data, captures bids and offers across the price spectrum in real time. While top-of-book data shows the best bid and offer, full-depth data provides a more detailed snapshot of supply and demand.

Funding rates and open interest are important metrics for crypto perpetual futures. Funding rates are periodic payments between long and short positions that help keep perpetual futures prices tied to spot prices. They can provide insight into market sentiment. Open Interest tracks the total number of outstanding contracts, which shows the active capital and risk currently in the market.
Onchain data is a category unique to crypto. Decentralized exchanges (DEXs) settle trades on public blockchains, making every transaction transparent and auditable. While latency is governed by block times rather than microseconds, onchain data can show activity such as liquidity pool health or large "whale" movements. Mapping these onchain flows against centralized order books is now a standard practice for sophisticated participants.

How Is Market Data Used?

Market data is used to trade, research markets, manage risk, and monitor trading activity.

Algorithmic trading and market making place the highest demands on market data. A market maker quoting across dozens of venues at once needs accurate, low-latency order book feeds to manage inventory and reduce adverse selection. In that setting, data quality and speed are operational requirements.

Quantitative research and backtesting rely on clean historical data to build and test trading strategies. The output is only as good as the input. A strategy built on daily candles can look very different in production when it meets live tick-level conditions.

Risk management uses market data to monitor exposures in real time, track positions across venues, and stress test portfolios under different market conditions. In crypto derivatives, monitoring liquidation clusters and funding rate volatility can help identify possible long squeezes or broader deleveraging events. 

Compliance and trade surveillance teams use market data to look for unusual trading patterns. Robust data sets mean compliance teams can identify patterns like wash trading, spoofing, or layering that may indicate market manipulation. Regulators use this data for oversight. 

Why Do Crypto Prices Differ Across Exchanges?

Crypto prices differ across exchanges because each venue has its own buyers, sellers, liquidity, and order flow.
Crypto market prices are always changing. With thousands of venues operating at the same time, the same asset can trade at slightly different prices across exchanges. Arbitrageurs help keep markets aligned, but the gap is never fully closed. In stressed or illiquid conditions, those differences can widen materially.

This has an important implication. Treating the price on a single venue as the market price can be misleading. Professional firms consume data from multiple venues at once so they can build a consolidated view of where an asset is actually trading.

What Are Some Common Misconceptions About Market Data?

Traders often mistakenly assume that an aggregated price feed is the same thing as full market data. It is important to properly distinguish the two. 

A price feed, such as one published by an onchain oracle network, gives a consolidated reference price derived from multiple sources. That is useful for DeFi applications that need an external pricing input, but it is not market data in the professional trading sense. True market data is granular, venue-specific, and timestamped at the individual event level. Confusing the two can lead to weak backtests, poorly calibrated execution models, and risk frameworks built on data that lacks necessary detail.

True market data is granular, venue-specific, and timestamped at the individual event level. Confusing the two can lead to weak backtests, poorly calibrated execution models, and risk frameworks built on data that lacks necessary detail. 

Author

Tim Meggs is the CEO of LO:TECH (Low Observable Technology Limited), an on-chain capital markets firm operating across centralized and decentralized exchanges. LO:TECH connects to more than 20 venues through low-latency systems and provides market data services to institutional clients.

The firm combines modern trading technology with traditional finance compliance and transparency standards, serving institutions and Web3 builders navigating blockchain-based capital markets.