Quandl Stock Market Data
Quandl is a platform for accessing financial and stock market data from multiple reliable sources. It brings together information on stock prices, stock indexes, interest rates, bonds, and other financial instruments used for market analysis and economic modeling.
Several tens of millions of records, CSV and JSON formats (including several free datasets)
Data accessible under commercial or free licenses depending on the supplier (variable licenses, to be consulted on Quandl)
Description
The datasets offered via Quandl cover a wide variety of data:
- Historical stock and index prices
- Data on interest rates, currencies, commodities
- Bonds, derivatives, implied volatility
- Fundamental corporate data (results, dividends, ratios)
- Macro and microeconomic economic data
Export formats are suitable for integration into analysis and modeling tools (CSV, JSON, REST API).
What is this dataset for?
When Stock Market Data is used to:
- Training predictive models on stock prices and trends
- The development of algorithmic trading strategies
- Research in quantitative finance or econometrics
- Simulation of portfolio evolution and risk
- Fundamental or technical analysis of the markets
Can it be enriched or improved?
Yes, in particular by:
- Cross-referencing with textual data (news, feelings, social networks)
- The addition of calculated technical indicators (Moving Averages, RSI, MACD...)
- Structuring multi-active time series for deep learning
- Integration into backtesting and interactive visualization environments
🔗 Source: Quandl Financial Data
Frequently Asked Questions
Is all data free?
No Some sources are free (e.g. WIKI EOD), others require a subscription or a commercial license depending on the provider.
When does it offer an API?
Yes, Quandl provides a powerful API to automate requests, integrate data into Data Science pipelines or financial tools.
What are the alternatives to Quandl?
We can cite Yahoo Finance API, Alpha Vantage, IEX Cloud, or even Bloomberg (paid) for more institutional needs.
