🎬 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.

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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.

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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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💰 SAP FINANCE • TEST AUTOMATION

🎬 SAP S/4HANA Finance Demo: AR, AP & Financial Statements Automation with Tricentis Tosca

Explore end-to-end SAP S/4HANA Finance process automation covering Accounts Receivable, Accounts Payable and Financial Statements using Tricentis Tosca.

🏢 SAP S/4HANA 💳 Accounts Receivable 💰 Accounts Payable 📊 Financial Statements 🧪 Tricentis Tosca

▶️ SAP S/4HANA Finance Automation Demo

● WATCH DEMO

🔷 Overview

Demonstrating SAP S/4HANA's Accounts Receivable, Accounts Payable, Balance Sheet and Income Statement dashboards while automating financial processes using Tricentis Tosca.

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SAP S/4HANA Finance Processes

Three core finance scenarios demonstrated through automation

01

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Accounts Receivable

Automate and validate SAP S/4HANA receivables processes and verify corresponding financial information.

02

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Accounts Payable

Automate payable-related business processes and validate the resulting financial transactions.

03

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Financial Statements

Validate Balance Sheet and Income Statement overview dashboards as part of the automated finance workflow.

SAP S/4HANA → Tosca → Test Execution → Finance Validation

MODEL-BASED TEST AUTOMATION

🤖 Powered by Tricentis Tosca

The automation uses Tosca's model-based test automation approach to execute and validate SAP S/4HANA financial processes. The complete execution is performed directly through Tosca, enabling structured end-to-end validation of the finance workflows.

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Test Case 01 Receivables automation

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Test Case 02 Payables automation

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Test Case 03 Financial Statements validation

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Automation Technology

Technologies used in the SAP Finance automation demo

🏢 SAP S/4HANA 🧪 Tricentis Tosca 🤖 Model-Based Testing 💳 Accounts Receivable 💰 Accounts Payable 📊 Financial Statements 🔄 End-to-End Automation

🚀 Key Takeaway

This demonstration shows how Tricentis Tosca can be used to automate SAP S/4HANA Finance scenarios across Receivables, Payables and Financial Statements, providing an end-to-end approach to business-process validation.

🌟

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Built for SAP automation, intelligent testing & quality engineering.

 Using MCP Server &Tools, executed Bank Deposit & Funds Transfer, with GitHub Copilot & Claude AI LLM

  ✅ MCP Server setup: Created a MCP server with three tools (deposit, withdraw, fund-transfer) that call the bank app APIs. 

✅ Code-base & Integration: Bank Application in Java + JavaScript, integrated with GitHub Copilot and Claude Desktop for orchestration. 

✅ Validation Layers: Every tool triggers API, database, and Selenium UI (POM) validations. 

🔵 ✔️ Example — Deposit: "Deposit 1000 → account A98D5": API, DB, and UI tests run; summary logged. 

🔵 ✔️ Example — Fund transfer: "Transfer 1000 → I6728C→ A98D5": API, DB (source & target), and UI tests run for both accounts; summary logged. 

🔵 ✔️ Claude Desktop runs the same flow — API, DB, UI validations, transaction history and overall test results reported. 

✅ Outcome: End-To-End demo showing LLM-driven orchestration of MCP Server & Tools + Multi-layer verification (API → DB → Selenium UI) with clear pass/fail summaries.

 

 

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