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...
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...
Introduction Recently there’s been a popular open-source project on GitHub called AI-Trader (HKUDS/AI-Trader, 19.4k stars). It positions itself as an “AI-Agent-native trading pla...
Strategy Background Earlier this year, stories about someone making a fortune overnight on Polymarket were circulating widely across communities. Curious about the actual trading framework behind it, ...
A reflection on Vibe Trading: when to use AI, and when not to. There’s a concept gaining traction lately called Vibe Trading — describe your trading intent in natural language, and let...
I. Why Automated Factor Mining? If you’ve been around quantitative trading, you’ve surely heard the word “factor.” What is a factor? Simply put, it’s a market signal expr...
The concept of “new listing trading” is familiar to anyone in the stock market — get in early, grab your allocation, and ride the price discovery when the ticker goes live. The core logic ...
Preface If you’ve traded perpetual contracts, you’ve probably been liquidated at some point. At best you lose part of your position; at worst your entire principal is gone. But have you ev...
1. Strategy Background & Requirements Recently, some friends asked: could we build a funding rate arbitrage strategy? Between CEX and DEX platforms, funding rates are often inconsistent, creating ...
Introduction In our previous video, we built a dual moving average strategy using ClawdBot/OpenClaw. Many viewers wanted more and asked in the comments: Can we let AI monitor the market, make decision...