Historical Stock Data

Overview

The QuantQuote Historical Stock Data API delivers end-of-day price data for over 11,000 US-listed equities, with coverage extending back to January 2000. Every record is split-adjusted, ensuring that historical prices accurately reflect corporate actions such as stock splits and reverse splits. This makes the data immediately suitable for backtesting, charting, and quantitative analysis without requiring manual adjustment.

Data is served through a simple REST endpoint that accepts a ticker symbol and a date range, returning results in either JSON or CSV format. The API is designed for low-latency retrieval, making it well suited for both interactive applications and batch data pipelines. Whether you are building a portfolio tracker, a screening tool, or a machine-learning feature pipeline, the Historical Stock Data API provides the foundation you need.

Sample Data

Try the API live — select a date range to retrieve AAPL daily price data.

Data Overview

Comprehensive coverage of US equities, ETFs, and ADRs.