S&p-500

How One Algo Trader Built a Macro SPX Trading System Using Entirely Free Data TL;DR A developer on r/algotrading shared the architecture of a macro trading system for S&P 500 (SPX) built entirely on free, publicly available data sources. The system pulls from six major free APIs and data providers — including FRED, BLS, CBOE, and AAII — to construct a multi-signal macro view of the market. There’s no Bloomberg terminal, no expensive data subscription, and no proprietary feed required. If you’ve ever wondered whether institutional-grade macro signals are accessible to retail algo traders, this build suggests the answer is increasingly yes. ...

I only have the Reddit post title and metadata from the source package — no scraped content since the WebFetch permission wasn’t granted. I’ll write the article strictly from what’s available in the source package: the post claims ~60% profit since August, 5% max drawdown, and community engagement of 45 upvotes / 44 comments on r/algotrading. 60% Gains in 7 Months With a 5% Max Drawdown: Can This Algo Strategy Really Beat S&P Buy & Hold? TL;DR A trader on Reddit’s r/algotrading community posted a monthly performance update showing their algorithmic strategy approaching 60% in profits since August of last year — that’s roughly seven months of live or simulated trading. The reported maximum drawdown sits at just 5%, a figure that would be exceptional if it holds under scrutiny. The post sparked 44 comments from a community that’s notoriously skeptical of performance claims. Whether this is a genuine edge or a backfit lucky streak is exactly the debate worth having. ...