Autonomous Quantitative Trading & Vibe Coding
Institutional factor analysis, volatility contraction protocols, and modern AI coding architectures. From mathematical market edges to production-grade trading bots.
Post List #3
Masterclass #28: LLM Sentiment Arbitrage – From News Noise to Predictive Signals
In the speed-of-light markets of 2026, the first to “understand” is the one who profits. While traditional algorithms look for price patterns, LLM-driven arbitrage looks for the vibration of human and machine psychology embedded in natural language. 1. Executive Summary:…
Masterclass #27: AI-Driven Portfolio Optimization – Beyond Mean-Variance with Reinforcement Learning
The 20th-century portfolio was built on static assumptions and Gaussian distributions. In the 2026 Inference Era, capital is a liquid force that demands agentic rebalancing. This masterclass strips away the limitations of the Markowitz frontier and introduces the VibeAlgo framework…
Masterclass #26: The Permanent Portfolio – Building a Fortress for All Seasons
Welcome to Masterclass #26. In an era of hyper-complexity, institutional-grade simplicity is the ultimate sophistication. Today, we reconstruct one of the most resilient investment models in history—Harry Browne’s Permanent Portfolio—and upgrade it for the AI-driven macro regime of 2026. 1.…
Masterclass #25: Dynamic Asset Allocation (DAA) – The Adaptive Engine of 2026
Welcome to Masterclass #25. While others rely on hope, we rely on logic. In the volatile markets of 2026, fixed asset allocation is a slow-motion car crash. Today, we deconstruct Dynamic Asset Allocation (DAA)—the ultimate proactive ‘Kill Switch’ for the…
Masterclass #23b: Factor Rotation – Mastering the DNA of Equity Returns
Welcome to the 24th installment of the Google AI Stock Masterclass. Today, we move beyond simple asset classes to the underlying drivers of all equity returns: Factors. In a high-velocity 2026 market, static allocations are a liability. True alpha lies…