historical market data API with low latency

If you want a historical market data API with low latency, the best choice depends on:

1. Asset class: equities, options, futures, FX, crypto
2. Granularity: tick, trades, quotes, 1s bars, 1m bars, daily
3. Coverage: US only vs global
4. Budget: cheap / mid-tier / enterprise
5. Use case: backtesting, live trading, analytics, research

Common low-latency historical data APIs

1) Polygon.io

• Good for: US stocks, options, crypto, FX
• Strengths: fast API, solid developer experience, real-time + historical
• Weaknesses: can get expensive for high usage or deeper coverage
• Best if you want: a practical all-around API with decent latency

2) Tiingo

• Good for: equities, crypto, some fundamentals
• Strengths: clean API, affordable
• Weaknesses: not as broad/deep as premium vendors
• Best if you want: lower-cost historical data with decent speed

3) Alpaca Market Data

• Good for: US equities and crypto
• Strengths: easy if you already use Alpaca brokerage
• Weaknesses: historical depth/coverage may be limited depending on plan
• Best if you want: trading + data in one ecosystem

4) Intrinio

• Good for: equities, options, fundamentals, economic data
• Strengths: enterprise-grade datasets
• Weaknesses: pricing can be higher
• Best if you want: institutional-style data access

5) Twelve Data

• Good for: stocks, FX, crypto, ETFs, indices
• Strengths: broad coverage, simple API
• Weaknesses: latency/limits depend on plan
• Best if you want: broad multi-asset coverage

6) IEX Cloud

• Good for: US equities
• Strengths: easy API
• Weaknesses: coverage and pricing model have changed over time; check current status carefully
• Best if you want: US stock data and simple integration

7) Nasdaq Data Link / Quandl

• Good for: macro, end-of-day, alternate datasets
• Strengths: huge dataset catalog
• Weaknesses: not ideal for low-latency market microstructure
• Best if you want: research data, not ultra-fast trading use

---

If “low latency” is the priority

For fast historical retrieval, look for:

• CDN-backed APIs
• pre-aggregated bars
• pagination optimized for time series
• bulk downloads or S3-style object storage for large backfills
• websocket + historical REST combo if you also need live data

For tick-level historical data, the real bottleneck is often:

• dataset size
• query design
• vendor backend, not just API speed

---

Best recommendations by use case

• Best overall for developers: Polygon.io
• Best budget-friendly: Tiingo or Twelve Data
• Best for institutional-grade equities/options: Intrinio
• Best if you already use a broker API: Alpaca
• Best for research/macro datasets: Nasdaq Data Link

---

Questions to narrow it down

If you want, I can recommend the best API based on:

• asset class
• region
• tick vs bar data
• expected request volume
• budget

If you tell me what market data you need (e.g. US stocks 1-minute bars, crypto tick data, options chains), I can give you a short ranked list with pricing/latency tradeoffs.