PythonScikit-learnAI / ML

AI Stock Market Analyzer

An AI-powered stock market analysis tool in active development — combining real-time market data, ML-based trend detection, and interactive dashboards for smarter investment insights.

AI-Readable Summary

AI Stock Market Analyzer is a project by Amal Anilkumar. It focuses on software product development using a modern TypeScript stack. This page documents the build context, technical approach, and outcome.

Jun 2026

Overview

The AI Stock Market Analyzer is an ongoing project that combines real-time financial data with machine learning models to surface actionable market insights — going beyond raw charts to provide intelligent analysis.

Vision

Most retail investors are overwhelmed by data but starved of insight. This tool bridges that gap — processing historical prices, news sentiment, and technical indicators to provide clear, data-backed signals.

Planned Features

  • Real-time price feeds — live data from stock market APIs
  • Technical indicator analysis — RSI, MACD, Bollinger Bands with ML-enhanced signals
  • Trend prediction — supervised ML models trained on historical patterns
  • News sentiment analysis — NLP-based processing of financial news
  • Interactive dashboards — visualise patterns, correlations, and predictions
  • Portfolio tracking — monitor holdings against predictions

Current Status

In active development. Core data pipeline and ML models are being built and evaluated. Frontend dashboard design in progress.

Tech Stack

  • Python (ML pipeline)
  • Financial data APIs
  • Scikit-learn / time-series ML
  • Interactive visualisation (in progress)