Trading Economics: A Bootstrapped Bloomberg Challenger With Apple and the Fed as Clients
What it actually covers beyond macro data, its real client list, and its new AI integration, and where automated execution fits in for macro-driven traders.
Market Data & News · 6 min read
Trading EconomicsThe hook: Trading Economics' own investor page frames its mission as challenging "the multi-billion dollar market of economic and financial information currently monopolized by Bloomberg/Refinitiv," and its actual client list, Apple, Google, Goldman Sachs, and the U.S. Federal Reserve among them, suggests that pitch isn't just marketing.
- Founded ~2008 in New York by Anna Fedec and Antonio Sousa, still bootstrapped
- Client roster includes Apple, Google, Goldman Sachs, and the Federal Reserve
- New AI integration lets ChatGPT, Claude, and GitHub Copilot query its full database
About Trading Economics
Trading Economics was founded in New York around 2008 by Anna Fedec and Antonio J. Fernandes Sousa, who remains CEO. Its own site discloses no founding history at all, that detail comes only from third-party sources, but its investor page is candid about the business model: roughly 40% of revenue comes from recurring subscriptions, 40% from API sales to businesses and institutions, and 20% from advertising, and it states plainly it has been profitable since its very first month.
Its actual client roster, published on its own site, is considerably more impressive than "macro data platform" suggests: Apple, Google, Microsoft, Goldman Sachs, UBS, American Express, Citadel, Point72, Millennium Management, the U.S. Federal Reserve, and dozens of other Fortune 500 companies and central banks. The platform itself covers more than pure macro data too, live financial markets (stocks, currencies, crypto, bonds, commodities), company financials, and sovereign credit ratings are all part of the same product.
A genuinely new addition is its AI integration: a dedicated AI product page describes plugin-based access for ChatGPT, Claude, and GitHub Copilot via the Model Context Protocol (MCP), letting users query its full 20-million-plus indicator database in natural language directly inside those tools.
What Trading Economics Offers
Live Economic Indicators
GDP, inflation, interest rates, employment, and more across 196 countries.
Financial Markets Data
Stocks, currencies, crypto, bonds, and commodities, not just macro.
Company Financials & Sovereign Ratings
Fundamental data beyond pure economics.
Economic Calendar
Scheduled release dates across major economies.
AI/MCP Integration
Natural-language database queries inside ChatGPT, Claude, and Copilot.
Excel Add-In & Mobile Apps
iOS/Android apps and spreadsheet integration.
API Access
Programmatic access with SDKs in Python, R, C#, Node.js, Java, and PHP.
Why Traders Rely On Trading Economics
Its appeal is breadth and structure at a fraction of a professional terminal's cost. For traders positioning around global macro themes, having every major economy's indicators in one standardized, comparable format, backed by a client list that includes central banks, saves the work of chasing down dozens of individual sources.
A bootstrapped company that has never taken outside funding lists the Federal Reserve as a customer.
Trading Economics: Strengths and Limitations
Strengths
Limitations
Trading Economics FAQ
Anna Fedec and Antonio J. Fernandes Sousa founded it in New York around 2008; the company remains privately held and self-describes as profitable since its first month.
Its main marketing consistently says 20 million across 196 countries, though its own investor page separately claims 23 million, an inconsistency across its own site.
No, it also covers live financial markets, including stocks, currencies, crypto, bonds, and commodities, plus company financials and sovereign credit ratings.
Its customers page names Apple, Google, Microsoft, Goldman Sachs, the U.S. Federal Reserve, and dozens of other major banks, governments, and Fortune 500 companies.
Automating a Macro-Driven Futures Trade
Macro data moves futures markets, but reacting to an indicator update by manually placing a trade is slow by nature: reading a table, forming a thesis, and typing an order, all under time pressure. Turn a macro-driven entry rule into a TradingView alert and let it execute automatically the moment conditions are met.
How it works
- Translate the macro indicator threshold into a TradingView alert, no coding required
- Connect PickMyTrade to your broker or prop firm account once
- PickMyTrade executes automatically when the alert fires
- Copy the same signal across multiple accounts at once
Not with PickMyTrade, a macro-driven trigger needs to be built as a TradingView alert based on the data point being tracked.
Indirectly, querying Trading Economics' data through ChatGPT or Claude could help research a macro thesis, but the actual TradingView alert still needs to be built separately for PickMyTrade to act on.
PickMyTrade is an independent automation platform. It is not affiliated with, endorsed by, or sponsored by Trading Economics, unless otherwise stated. Trading futures and other leveraged products carries substantial risk of loss. Details reflect what was published on Trading Economics' official site at the time of research and may have changed since.