AI-powered stock analysis & quantitative research
Machine learning models, backtesting frameworks, and data-driven trading strategies — from research to deployment.
AI Data Center Power Analysis: Utility Stock Supercycle
AI data center power demand utility stocks 2026 — learn to find earnings tailwinds via PPA backlogs and valuation screens to start trading the theme today.
Fed Holds, Big Tech Splits: Weekly Market Pulse
The Federal Reserve held rates in a split vote while mega-cap earnings diverged sharply. Learn what the data means for your systematic trading strategies.
AI Capex vs GDP: Analyzing the Macro Divergence
AI capex and GDP are diverging in 2026, splitting the market into two regimes. Learn how to position your quant strategy for this structural divergence so you can trade with confidence.
Dealer Gamma, Sentiment Collapse, and the 7,500 Pin: Reading Late-July 2026 Market Structure
SPX is pinned at 7,500 by positive dealer gamma while retail sentiment collapses and institutions stay net long. The 7,477 gamma flip is the tripwire. A quant framework for monitoring the regime change.
Building an Unusual Options Activity Detection System with Python
A code-first methodology for detecting unusual options activity (UOA) as a trading signal — volume/OI ratios, put/call thresholds, ML ensemble features, and the pitfalls that kill most UOA strategies.
Palantir (PLTR) Deep Dive: AI Compounder at 137x P/E — Buy the Dip or Value Trap?
A quant-driven analysis of Palantir Technologies entering Q2 earnings — fundamentals, technicals, positioning, and the binary Aug 3 catalyst.
QuantConnect Review 2026: The Open-Source Algo Trading Powerhouse, Warts and All
Deep-dive review of QuantConnect — the LEAN engine, pricing, data depth, backtesting speed, broker integrations, and where it falls short (especially for EU traders).