I Re-Created A Quant Trading Strategy With Claude Code (Insanely Cool)
▸ All Free Prompts & Systems → https://www.skool.com/zero-one/about 📌 Useful links: ▸ Track my progress on the 10x Challenge → https://10x-app-production.up.railway.app/dca 📱 Follow me: 📧 The Lewsletter (free twice weekly breakdown): https://www.workwithlewis.com/lewsletter 🐦 X/Twitter: https://x.com/WhatSayLew 📸 Instagram: https://www.instagram.com/lewis.w.jackson 🎵 TikTok: https://tiktok.com/@lewisjacksontiktok 💼 LinkedIn: https://www.linkedin.com/in/lewisjacksonli/ The hedge fund method is how quants actually trade — and it has nothing to do with trend lines, indicators, or vibes. It's a Markov regime model that quantifies the market into three states: bull, bear, and sideways. And once you see it, you can't unsee it. Here's the core. You label every day in an asset's history based on the trailing 20-day return — 5% or more is a bull state, -5% or worse is a bear state, everything else is sideways. Then you count every transition between states and turn those counts into a 3x3 transition matrix of probabilities. That matrix tells you the odds of tomorrow's regime based only on today. This is the opposite of how retail trades. You're not guessing. You're calculating. The Markov property says the past doesn't matter — only the current state determines what comes next, and the stickiness of each regime tells you how to size the trade. I'll walk you through squaring the matrix for multi-day forecasts, the stationary distribution that explains why 28-day predictions collapse, signal generation by subtracting bear probability from bull probability, and the walk-forward backtest that stops your strategy from cheating with future data. Then the hidden Markov model removes the subjective labels entirely. You'll get a free Claude Code skill and a Pine Script overlay for TradingView — copy, paste, done. This is real quant Markov regime trading. ⚠️ DISCLAIMER: This video is for educational and informational purposes only and does not constitute financial, inve
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