Showing posts with label #WebScraping. Show all posts
Showing posts with label #WebScraping. Show all posts

Wednesday, 31 December 2025

🎬 AI-Powered Stock Price Movement Prediction: Playwright + Python + Claude Desktop LLM + MCP Server Demo

🎬 AI-Powered Stock Price Movement Prediction

Playwright + Python + Claude Desktop LLM + MCP Server Demo

🚀 Watch the AI-Powered Prediction System in Action!

In this demo, I showcase a complete end-to-end pipeline that predicts stock price movements using modern AI, machine learning, web automation, and Model Context Protocol (MCP) technologies.

The system analyzes Reliance Industries Ltd (RIL) stock data scraped from BSEIndia.com and transforms the collected information into easy-to-understand, human-readable predictions and insights.

🔧 TOOLS & TECHNOLOGIES USED

🎭

Playwright + Python

Web automation and scraping of live stock market data.

📈

Machine Learning

Predictive modeling for forecasting future closing prices.

🤖

Claude Desktop LLM

AI-powered analysis, interpretation, and summarization of results.

🔌

Local MCP Server

Custom MCP server connecting the automation, data, and AI components.

📊 WHAT THIS DEMO COVERS

🔷 Real-time data scraping from BSEIndia.com

🔷 Automated capture of market depth and financial data

🔷 Generation of analytical visualizations

⭐ Open / High / Low / Close Price Comparison Chart

⭐ Trading Volume & Spread Analysis

⭐ Future Close Price Predictions Table

🔷 AI-powered summarization into actionable insights

🛠️ MCP SERVER ARCHITECTURE

Tool 1: run_playwright_test

Executes the Playwright automation script to collect and process stock market data.

🧠

Tool 2: summarize_outputs

Processes analytical outputs and visualizations for interpretation by the Claude LLM.

🔄 END-TO-END AI WORKFLOW

🌐 BSEIndia.com   →   🎭 Playwright   →   🐍 Python   →   📊 ML Model   →   🔌 MCP Server   →   🤖 Claude Desktop   →   💡 AI Insights

⚠️ Disclaimer: This demonstration is for educational and technology demonstration purposes only. Stock price predictions generated by machine-learning or AI systems are not guaranteed and should not be considered financial or investment advice.

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