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

🚀 Watch an end-to-end AI-powered stock price movement prediction system in action!

In this demo, I showcase a complete pipeline that predicts stock price movements using modern AI and automation tools. The system analyzes Reliance Industries Ltd (RIL) stock data scraped from BSEIndia.com and delivers human-readable predictions. 

🔧 𝗧𝗢𝗢𝗟𝗦 & 𝗧𝗘𝗖𝗛𝗡𝗢𝗟𝗢𝗚𝗜𝗘𝗦 𝗨𝗦𝗘𝗗:

✅ Playwright Python — Web automation for scraping live stock data
✅ Machine Learning — Predictive model for forecasting close price
✅ Claude Desktop LLM — AI-powered analysis and summarization
✅ Local MCP Server — Custom MCP server connecting all components

📊 𝗪𝗛𝗔𝗧 𝗧𝗛𝗜𝗦 𝗗𝗘𝗠𝗢 𝗖𝗢𝗩𝗘𝗥𝗦:

🔷 Real-time data scraping from BSEIndia.com
🔷 Automated capture of market depth & financials
🔷 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 Playwright script
⚡ Tool 2: summarize_outputs — Processes graphs for Claude LLM

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 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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VSCode Integration with Local MCP Server To Automate the P2P Business Process Flow in SAP S/4HANA

 

Overview: 

🔵 Integrate VS Code with a local AI LLM to automate the P2P (Procure-to-Pay) process flow in SAP S/4HANA. 

🔵 A local MCP server is created to host AI tools. 

🔵 The MCP server registers “test” as a tool for execution. 

🔵 A CLI interface is implemented to manage standard input/output (STD I/O). 

🔵 The CLI converts user commands into instructions understood by the MCP server. 

🔵 The MCP server receives the converted commands and executes the “test” tool. 

🔵 Results flow from the MCP server back through the CLI into VS Code, enabling automated workflow execution. 

 

Business Process Flows Automated in SAP S/4HANA: 

🔵 Purchase-to-Pay (P2P) 

 

 

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 SAP S/4HANA Business Process Flow Automation using Playwright MCP Agent

Overview:

✅ SAP S/4HANA business process flows are automated using Playwright, which is controlled by the MCP Agent.

Automation Technology:

✅ The automation is done using JavaScript and TypeScript.

✅ Playwright automation is implemented using the MCP Server/Agent.

Business Process Flows Automated in SAP S/4HANA:

✅ Purchase-to-Pay (P2P)

✅ Order-to-Cash (O2C)

✅ Project Management (Projects)

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RPA with UIPath Demo how AI can be used in Stock Buy or Sell Decisions

•  How RPA(Robotic Process Automation) with UIPath can be utilized in decsion making with the aid of Artificial Intelligence.
• Live Stock furture data is analyzed and estimate or projection of Stock price is made

“Web Scrapping” of data from YouTube UI and generate reports using python (AI & Data Science) Demo

 

• v  A Python BDD (AI and Data science) solution for YouTube UI, demo.

• v  Web Scrapping of data from UI will be performed.

• v  Scrubbing of the extracted data will be accomplished.

• v  Graphs generated are two-dimensional comparison in nature

• v  At the end, below mentioned reports will be produced using AI & Data Science which provides useful/vital insights.

  Ø  Plot Graph
Ø  Scatter Chart
Ø  Bar Graph
Ø  Histogram
Ø  Pie Chart

“Web Scrapping” from UI & API and generate reports using python (AI & Data Science) Demo

• A Python BDD solution for UI and API, demo.

•  Web Scrapping from UI & retrieval of data from API.

•  Reports are generated using AI & Data Science.

•  The following reports will be generated.

  v  Bar Graph
v  Pie Chart
v  Histogram
v  Line Graph