Trading Economics

Trading Economics is a leading macroeconomic research and data platform providing access to over 20 million economic indicators spanning 196 countries. Founded in 2007, the platform sources data directly from official institutions — central banks, government statistical agencies, and international organizations — ensuring accuracy and timeliness that third-party aggregators cannot match. With approximately 2 billion lifetime page views, it has become a go-to resource for economists, analysts, and macro-focused traders worldwide.

The platform's core offering includes a real-time Economic Calendar tracking over 300,000 scheduled indicator releases, proprietary macro-based forecasting models, streaming financial market quotes, and comprehensive historical data going back decades. Analysts rely on Trading Economics for GDP, inflation, unemployment, interest rates, PMI/ISM readings, credit ratings, central bank policy tracking, and hundreds of other metrics across virtually every country on earth.

For developers and quantitative analysts, Trading Economics offers a robust API with Python and R client packages for programmatic data access, plus an Excel Add-in for seamless spreadsheet integration. The API supports streaming quotes for live financial market data, historical data retrieval, and economic calendar event feeds. Pricing is volume-based and highly customized, making it accessible to individual researchers as well as large institutional clients — though the opacity of their rate card is a common friction point.

Trading Economics competes more directly with Bloomberg Terminal and Refinitiv/LSEG at a significantly lower price point, rather than with retail charting platforms like TradingView. It is an essential tool for macro traders, economists, policy researchers, central bank watchers, and any developer or analyst who needs deep, authoritative cross-country economic data in a single unified platform. The breadth of coverage and official-source integrity are its clearest differentiators in a crowded data market.