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Latest

• Published on

  March 21, 2026

  RegimeSense - Building an Adaptive Market Regime Detection System

  Quantitative-FinanceAlgorithmic-TradingMachine-LearningHidden-Markov-ModelsPortfolio-ManagementSignal-ProcessingTime-SeriesPythonSystematic-TradingMarket-Microstructure

  A deep dive into building a regime-aware trading system that uses Hidden Markov Models to classify market conditions and dynamically allocate across a strategy pool — from feature engineering to live paper trading.

• Published on

  May 14, 2025

  Building a Stock Screener Using Python and Streamlit

  FinanceData-ScienceStock-MarketStreamlitInvestmentQuantPythonVisualizationPortfolioOpen-Source

  A detailed walkthrough of how I built a dynamic and customizable Stocks Screener using Python, Streamlit, and real financial data. This project combines finance and data science principles to empower investment research through factor-based strategies.

• Published on

  January 23, 2025

  Controlling Spotify with Hand Gestures Using OpenCV and MediaPipe

  Computer-VisionPyTorchMediaPipeOpenCVGesture-ControlAutomationPythonSpotifyAIReal-Time-Systems

  A step-by-step guide to building a computer vision project that uses hand gestures to control Spotify. Learn how to integrate OpenCV, MediaPipe, and Python for gesture recognition and automation.