📈 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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“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 using Selenium4 and Python (Data Science)

• Data is scraped from Amazon website using Selenium4

• Python Data science is used to create analytical report

• Bar Chat and Pie Chart analytical reports are created from real time data

Karate Labs Test Automation Demo

•  “Accuweather” APIs and User Interfaces have been automated using this framework

• Shortcoming discovered are explained

• Cons: How automation can be utilized in detecting the flaws in the software applications