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Stock analysis using Syncfusion MAUI Toolkit with features like Candle Chart, Volume Analysis, DateTime Range Selector, and Segmented Control for analyzing prices and market trends over different time periods.
This is an in-depth exploratory data analysis of Spotify's stock performance from January 1, 2018, to the present. Utilizing Python and a robust set of libraries, this project examines trends, volatility, and external influences on Spotify's stocks using data from Yahoo Finance. From trend analysis and volatility exploration to predictive modeling.
Graded assignment on Stock price analysis
A Python-based analysis of NVIDIA's stock performance, focusing on price trends, volatility metrics (ATR, Bollinger Bands), and trading volume correlations.
Python automation tools for market price comparison and Windows temp files cleanup, featuring Playwright and PyAutoGUI scripts with visual and text outputs
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