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Quandl (now Nasdaq Data Link) provides access to financial, economic, and alternative datasets including stock prices, futures, commodities, and sentiment data. Used in quantitative data engineering pipelines for financial modelling, backtesting, and building investment analytics systems with the Quandl Python library.
The `nasdaqdatalink` Python library (formerly Quandl) authenticates with an API key and provides `nasdaqdatalink.get()` for time-series data. Engineers access datasets like FRED, WIKI stock prices, and CME futures with a consistent interface across data vendors.
Quandl/Nasdaq Data Link financial data trains AI trading models and macro forecasting systems. The breadth of asset classes — equities, commodities, currencies, bonds — makes it ideal for multi-asset AI portfolio optimization models and RAG-powered financial research assistants.
# pip install nasdaq-data-link pandas
import nasdaqdatalink, pandas as pd
nasdaqdatalink.ApiConfig.api_key = "YOUR_API_KEY"
# Daily crude oil prices (WTI)
oil = nasdaqdatalink.get("FRED/DCOILWTICO", start_date="2023-01-01")
print(oil.tail(10))Official dataset source
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