Best ETF APIs for Developers in 2026
Compare what developers need from an ETF data API — universe coverage, historical prices, backtesting, and pricing — and how Data Captain fits.
What makes a good ETF API?
If you are building a portfolio app, research dashboard, or trading bot, you need more than a single quote endpoint. A production-grade ETF API should expose a searchable universe, historical OHLCV, batch prices, and clear rate limits.
Data Captain is built for this workflow: list thousands of US ETFs, pull history for backtests, and upgrade when you need higher limits — one API key, one dashboard.
- ETF universe endpoint with pagination and search
- Historical daily prices (2000–present where data is loaded)
- Batch latest prices for watchlists
- Backtesting API for buy-and-hold simulations
- Free tier to prototype, paid plans for production traffic
ETF API use cases
Robo-advisors and portfolio trackers need symbol metadata plus latest NAV or close. Quant teams need aligned date ranges for CAGR and drawdown. Content sites publish articles like “QQQ historical returns” — those pages convert when backed by real API data.
- Fintech dashboards — ETF explorer + charts
- Backtesting tools — SPY, QQQ, VOO comparisons
- Internal research — screener and batch prices
- Educational content — embed live API examples
How to evaluate providers
Check documentation quality, authentication (API keys vs OAuth), latency, and whether historical data is split-adjusted. Ask if backtesting is a separate product or included in the same platform.
Data Captain keeps ETF data, backtesting, and portfolio comparison under one roof at datacaptain.in — same login as your API dashboard.
Quick start
Sign up free, copy your API key, and call GET /api/etf/list?search=SPY. Upgrade to Starter when you need full history, backtests, and 1,000 requests/day.
Ready to build with Data Captain?
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