superpilot69

Core high-impact U.S. macro history with replay-ready FRED events and Investing.com consensus forecasts

45
10
100% credibility
Found Apr 25, 2026 at 45 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A curated dataset of key US macroeconomic indicators from FRED, enriched with consensus forecasts from Investing.com, formatted for historical market event replays.

How It Works

1
🔍 Discover economic data treasure

You hear about a free collection of US economy history, like inflation rates and job numbers, shared openly online.

2
📖 Explore the offerings

You visit the page and see a neat list of key economic updates from trusted sources, ready for your use.

3
🌟 Spot the highlights

Get excited by the detailed past events, including surprises versus expectations, covering over a century of market movers.

4
💾 Download your copies

Grab the ready-to-use data files and save them right to your computer in a snap.

5
📊 Open and dig in

Load the files into your everyday tools like spreadsheets to browse dates, values, and stories behind the numbers.

🎉 Unlock historical insights

Relive past economic moments, understand market reactions, and boost your knowledge effortlessly.

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Star Growth

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AI-Generated Review

What is fred-us-macro-open-data?

This repo delivers a focused dataset of core U.S. macro history from FRED, covering 15 high-impact series like CPI, core CPI, PPI, payrolls, unemployment, and GDP. It provides raw historical observations plus replay-ready events with precise release timestamps—many vintage-dated—and enriches them with Investing.com consensus forecasts, actuals, and surprises where available. Developers get JSON exports ready for backtesting market reactions without scraping FRED APIs or calendars themselves.

Why is it gaining traction?

Unlike raw FRED dumps or broad scrapers, it zeroes in on market-moving core releases like is core PPI high impact news, with transformations to user-friendly formats (YoY percents, MoM changes) and consensus data for beat/miss analysis. The replay-ready events include approximate dates for pre-vintage history back to 1914, plus metadata for easy filtering—ideal for simulating trading around events. At 45 stars, it's pulling devs who need clean, enriched FRED data without the noise.

Who should use this?

Quants and algo traders backtesting strategies around macro events, like payroll surprises or Fed rate changes. Macro researchers simulating historical market replays with consensus forecasts. Fintech devs building dashboards for high-impact core data without custom ETL.

Verdict

Grab it if you need polished FRED core events with forecasts—docs are solid, coverage is deep (18k+ observations). But with 1.0% credibility score and low stars, treat as experimental; verify against primaries for production.

(178 words)

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