Access comprehensive financial data including historical prices, dividends, sentiment analysis, and more. Built for developers who demand reliability and speed.
Everything you need to build powerful financial applications, from historical prices to real-time sentiment analysis.
End-of-day OHLCV data for over 11,000 tickers going back 25+ years. Split-adjusted and available in JSON or CSV format.
Complete dividend history with ex-dates, record dates, declaration dates, pay dates, and per-share amounts for all dividend-paying stocks.
Full record of stock split events including execution dates and split ratios for forward and reverse splits.
FINRA-reported short interest data with settlement dates, share counts, average daily volume, and days-to-cover ratios.
Aggregated social media sentiment scores, activity rankings, and buzz metrics for tracking retail investor discussions.
Pre-calculated technical indicators including RSI, moving averages, beta, volatility, ADX, and stochastic oscillators.
Daily valuation ratios including P/E, P/B, P/S, market cap, enterprise value, dividend yield, and earnings yield.
Historical and upcoming earnings release dates with EPS estimates, reported EPS, and release timing (BMO/AMC).
Quarterly and annual financial statements with 60+ fields covering income statement, balance sheet, cash flow, and profitability ratios.
Built by developers, for developers. Our API is designed to be fast, reliable, and easy to integrate.
Validated, split-adjusted data ready to use out of the box. No cleaning or preprocessing required.
Get data in Excel-friendly CSV format. No complex setup — just call the API and get the data file.
Clear documentation with ready-to-use examples. Simple REST endpoints that work with any language or tool.
Get started in minutes with our intuitive REST API. Responses in JSON or CSV.
import requests
API_KEY = "your_api_key"
BASE_URL = "https://api.quantquote.com"
# Get daily OHLCV data for Apple (Jan 2024 - Dec 2024)
response = requests.get(
f"{BASE_URL}/v1/trade_data/stock/1day/AAPL/2024-01-01/2024-12-31",
params={"api_key": API_KEY, "type": "json"}
)
data = response.json()
for candle in data["data"]:
print(f"{candle['date']}: ${candle['close']}")Start free and scale as you grow. No hidden fees, no surprises.
Perfect to test and try out QuantQuote
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