AI-powered stock analysis & quantitative research
Machine learning models, backtesting frameworks, and data-driven trading strategies — from research to deployment.
Sector Spotlight: AI Semiconductors — The July 2026 Correction & Quant Trading Playbook
The AI semiconductor sector surged 80%+ in H1 2026 before entering bear territory in July. We dissect the earnings, volatility regime, drawdown mechanics, and quant trading angles (mean-reversion, momentum, sector rotation signals) for data-driven traders.
Weekly Market Pulse: Tech Earnings Shock, Fed Looms — July 20–26, 2026
Tesla misses on EPS despite record revenue, Alphabet's AI capex spooks investors, and the Fed's next move hangs in the balance. Your data-driven weekly quant market roundup.
Market Sentiment & Capital Flows: Reading the Late-July 2026 Divergence
VIX compression meets elevated put/call ratios and retail neutral sentiment at 1-year highs. A quantitative read on institutional vs retail flows, sector rotation, options positioning, and insider signals through late July 2026.
Intel Deep Analysis: Q2 2026 Earnings Ignite the AI Comeback
QuantBrainAI decision report on Intel (INTC) — post-earnings multi-agent strategy signals, game theory equilibrium, and the 18A foundry turnaround thesis.
AI-Powered Stock Analysis Tools in 2026: TrendSpider, ChartingLens, and Koyfin Compared
A data-driven comparison of TrendSpider, ChartingLens, and Koyfin for quantitative stock analysis in 2026. Features, pricing, data quality, and real-world quant workflows.
ChartingLens Deep Dive: AI Scoring, Insider Signals, and Quant Integration in 2026
Can ChartingLens replace your existing stock analysis stack? A quantitative evaluation of its AI scoring engine, insider tracking, screener, and API capabilities against Koyfin, Finviz, and TradingView.
Local Time Series Forecasting for Stocks: Running Google's TimesFM on Your Own Hardware
A practical tutorial on deploying Google's TimesFM 2.5 time-series foundation model locally for zero-shot stock price forecasting — from environment setup to multi-asset portfolio inference.