-Domain: Stock Market Analysis -Objective: Analyze the stock performance of Nifty 500 companies using data from Groww, focusing on percentage changes in stock prices and trading values. -Process:
- Web scraping from Groww.
- Data cleaning and formatting.
- Exploratory Data Analysis (EDA) including univariate and bivariate analysis.
- Visualization of key insights.
- Summary of top and bottom performers.
- Challenges: Handling dynamic content, managing data integrity, filtering noise, and balancing visualization clarity.
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Expand on Challenges and Solutions:
- Detail how you handled dynamic content in web scraping, perhaps by mentioning the specific libraries or techniques used.
- Discuss any specific methods or algorithms used to clean and standardize data.
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Advanced Analysis Techniques:
- Include a section on advanced analysis, such as regression analysis to predict future stock prices or clustering to group similar stocks based on performance metrics.
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Data Sources:
- Consider mentioning if you cross-referenced Groww data with other sources to validate accuracy.
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Investment Insights:
- Add a section on how the findings can influence different types of investors (e.g., risk-averse vs. risk-tolerant).
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Conclusion: Strengthen your conclusion by tying it back to potential market trends or future outlooks based on the analysis.
