AI-powered stock analysis & quantitative research
Machine learning models, backtesting frameworks, and data-driven trading strategies — from research to deployment.
Treasury Buybacks Reset Risk Map Ahead of NVDA, Jackson Hole
Treasury buyback program 2026 — how doubled long-end buybacks, rate-path repricing, and the NVDA earnings setup reshape factor models ahead of Jackson Hole.
US CPI inflation trend analysis: why 3.4% is sticky
US CPI inflation trend analysis for quant traders: headline disinflation masks a sticky core, with war-driven energy swings distorting year-over-year picture.
Communication Services Sector Analysis 2026: Two Tracks
Communication services sector analysis 2026 — decode the ad-platform vs telecom divergence and screen XLC components to find where the money is rotating next.
Options Flow Analysis: Institutional Sentiment Ahead of NVDA
Options flow analysis exposes a retail-versus-institutional split ahead of Nvidia earnings. We quantify the divergence with market data and a pandas workflow.
Cisco Stock Analysis: AI Networking Supercycle vs Margins
A comprehensive Cisco stock analysis examining AI networking demand against gross margin pressure — see where CSCO fits in your quant portfolio research today.
CRM Stock Analysis: Agentforce AWU vs. cRPO Inflection
CRM stock analysis — a pre-earnings deep dive into Salesforce's Agentforce billing model versus cRPO growth, so you can frame the risk before the report.
Qlib Review 2026: Microsoft's AI Quant Platform
Microsoft Qlib is the best open source AI quant platform for beginners with Python skills — learn how to get started, install it, and run your first backtest.