📈 Using Selenium and Pandas to Evaluate Profitable Investment Decisions in DITQ Stock

 📈 Using Selenium and Pandas to Evaluate Profitable Investment Decisions in DITQ 

 

Stock Analyzing whether a stock such as DITQ is a profitable investment often requires up-to-date market data, historical patterns, and automated data extraction. By integrating Selenium, Pandas, and supporting Python libraries, investors can build a reliable pipeline for collecting, analyzing, and visualizing stock trends.  

This workflow combines web automation, data cleaning, and visual analytics to help you determine whether a stock is worth buying. 

🔷 Key Steps in the Selenium + Pandas Stock-Analysis Workflow 

🔹 Data Extraction with Selenium 

🔹 Using Python Requests (Where Possible) 

🔹 Data Cleaning and Structuring with Pandas 

🔹 Visualizing Stock Trends with Matplotlib 

🔹 Decision-Making for DITQ Stock 

🔷 Example Workflow Summary 

✔️ Step 1: Selenium loads a financial site and grabs live DITQ price data 

✔️ Step 2: Data is parsed and stored into Pandas DataFrames 

✔️ Step 3: Pandas computes indicators for trend evaluation 

✔️ Step 4: Matplotlib visualizes price patterns 

✔️ Step 5: Automated rules decide if DITQ is a potential buy

 

 

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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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