WIBE

• Tech Stack: Python, Data Analysis, Statistics, Pandas, Numpy, YahooFinance, Matplotlib, Seaborn, PLotly, Beautiful Soup, Fastapi
• Website URL: wibe.school

1. Developed algorithms to fetch daily live and historical data of stocks (Nifty_500 & Russell_1000) and perform sector and macroeconomic analysis.

2. Conducted data exploration and preprocessing to ensure data quality and consistency, and developed automated data pipelines and workflows for data acquisition, preprocessing, and transformation.

3. Developed algorithms to derive various terms for each stock, which are helpful in declaring buy and sell signals.

4. Developed charts and graphs to show trends and patterns in stock data, using the Styler format for visual representation of output files.