AI-powered stock analysis & quantitative research
Machine learning models, backtesting frameworks, and data-driven trading strategies — from research to deployment.
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.
How to detect backtest overfitting in Python
Learn how to detect backtest overfitting in Python using the deflated Sharpe ratio and the probability of backtest overfitting, from the academic papers.
Consumer Discretionary Sector Analysis 2026: XLY vs S&P 500
Consumer discretionary sector analysis 2026: records on the tape, softness in spending. See the data, the diverging winners, and how to screen for them.
Grid Infrastructure Investment Stocks: 2026 Industrials Outlook
Grid infrastructure investment stocks are drawing attention as AI power demand reshapes how capital flows into transformers, switchgear, and grid equipment.
Quant News: CPI Cools, Records, AI Capex Wave
Quantitative trading news roundup — explore how cooling inflation and AI earnings are reshaping factor models, rate paths, and volatility assumptions.
September FOMC: Will the Fed Cut Rates or Hike in 2026?
Markets see the September FOMC as a hike-or-hold decision, not a cut. Here is what July jobs, inflation, and Fed signals mean for the Fed rate path ahead.
Healthcare Sector Analysis 2026: GLP-1 & AI Drugs
Healthcare sector analysis 2026 — decode the rotation opportunity between GLP-1 growth and AI drug discovery catalysts, then screen the leaders for the theme.