Real-time stock data APIs deliver market prices, quotes, and related information as they are generated on an exchange. For traders and developers building on market data, the choice of API affects latency, coverage, cost, and how the data integrates with existing systems.
In financial markets, real-time refers to data delivered without intentional delay — typically within milliseconds of a trade being executed on an exchange. This is distinct from delayed feeds (usually 15 minutes behind) and end-of-day data, which is published after the close of trading.
The delivery method matters as much as the latency. Push-based feeds (WebSocket, direct exchange connections) send data as events occur. Pull-based REST APIs require the client to request updates at intervals, which introduces additional lag and creates gaps between requests.
Direct feeds carry raw data from a single exchange. They are faster and closer to the source but require separate connections for each venue.
Consolidated feeds aggregate data from multiple exchanges into a single stream. They cover more markets with one connection, which simplifies integration for strategies that trade across venues.
Check which exchanges, asset classes, and instruments are included. A feed that covers US equities may not include European futures or forex pairs. Verify whether index constituent data and corporate action records are part of the package.
For intraday and algorithmic trading, the delivery mechanism (push vs. pull) and the location of servers relative to your infrastructure affect how quickly data arrives. Providers typically publish documentation on their delivery technology; ask for specifics rather than relying on general claims.
Most APIs deliver data in JSON or XML over REST or WebSocket. Confirm which formats are available and whether the provider offers SDKs for the languages your team uses (Python, Java, JavaScript are the most common). Check rate limiting policies — exceeding request limits can disrupt feeds or trigger additional charges.
Real-time feeds and historical archives are often separate products. If your strategy requires backtesting, confirm whether intraday history, tick data, or end-of-day records are available and at what depth.
APIs use API keys or OAuth for authentication. Verify how the provider handles key rotation, access control, and data transmission security before connecting production systems.
Exchange data is licensed, not sold. Terms differ for personal, commercial, and redistribution use. Read the licensing agreement for each exchange package before deploying.
Clear reference documentation, working code examples, and accessible support reduce integration time. Check whether the provider maintains active developer resources and how support requests are handled.
Algorithmic traders and quantitative analysts need low-latency push feeds, tick-level data, and reliable historical archives for backtesting. Rate limits and API downtime directly affect strategy performance.
Developers building financial applications need broad coverage, predictable pricing, and well-documented APIs that can be integrated quickly. Flexible licensing for commercial use is often a requirement.
Individual traders typically need coverage of the markets they trade, a reasonable cost structure, and enough historical data to test their approaches. End-of-day feeds are often sufficient for longer time horizons.
Institutional users require custom data packages, guaranteed uptime, compliance documentation, and dedicated support.
TAI-PAN, operated by Lenz + Partner, provides real-time and historical market data via push technology. Coverage includes stocks, futures, forex, and indices across major exchanges. The feed delivers tick-by-tick data, Level 2 market depth, and Commitments of Traders data from the CFTC alongside price feeds.
Pricing is subscription-based and modular: you select the exchange packages you need rather than paying for a fixed bundle. A 30-day trial is available for €1. There is no permanent free real-time tier.
TAI-PAN integrates directly with a range of trading platforms including ATAS, NinjaTrader, ELWAVE, and AgenaTrader. Historical data covers end-of-day records from 1987 and intraday histories from 2002.