Recently, Google Research released TabFM, a foundation model designed for tabular classification and regression tasks. It attempts to compress model training, hyperparameter search, and complex f...
Introduction: From Harness Engineer to Loop Engineer Some time ago, the idea of the “Harness Engineer” gained traction in quantitative trading circles. Its core principle is not to pick an...
AI has been incredibly hot lately. Over the past two years, the strongest market themes have, one way or another, revolved around AI. NVIDIA, AMD, Broadcom, TSMC, Micron, Microsoft, Google, Meta, Core...
The World Cup had barely kicked off before the market gave us a little dose of shock education: it’s not that strong teams never crash — it’s that the way they crash is often more creative...
There’s Someone Going Viral on X Lately If you’ve been scrolling X (Twitter) recently, you may have already come across this account: @aleabitoreddit, handle “Serenity.” T...
Recently I came across an interesting article on X. The author describes how, over the years, he slowly got a “flywheel” spinning: three wheels — cash flow, core assets, and Alpha&nbs...
Posted in the Submissions section · Created 2026-05-21 · Updated 2026-05-27 · FMZ Quant 1. The Biggest IPO Wave in History — Are Retail Investors Just Left Watching? In 2026, the tech capital markets ...
Preface: Why Skip Crypto and Trade TradFi? Anyone who has run a grid strategy on crypto knows the same nightmare: the grid is set up, the price tanks, every level fills, and you’re either chasin...
From 99 Traders to One Signal: Implementing a Distilled KOL Consensus Strategy on FMZ The word “distillation” has been showing up everywhere lately. In AI it usually means compressing comp...
Posted in: Community > MA Screening Quant Strategy: A Harness Engineer Approach in Practice Intro: The Harness Engineer Mindset Lately in the AI/ML engineering community, a way of thinking has been...