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Analyze Stock Data\n\nIn this lab I'm Analyze and Visualize Stock Data of Tesla and GameStop Revenue using data from Yahoo Finance API.\nAnd others stocks like Apple, AMD, Netflix and Amazon.\n\n## Demonstration of Result\n\n### Plot Tesla Stock Graph\n\n- [run code path: `stock-analyze\\main.py`](https://github.com/dotpep/stock-analyze/blob/main/stock-analyze/main.py)\n\n![Tesla Revenue Stock Graph](assets/plot_tesla_stock_graph.png)\n\n### Plot GameStop Stock Graph\n\n- [run code path: `stock-analyze\\main.py`](https://github.com/dotpep/stock-analyze/blob/main/stock-analyze/main.py)\n\n![GameStop Revenue Stock Graph](assets/plot_gamestop_stock_graph.png)\n\n### Plot Apple Stack data Graph\n\n- [run code path: `stock-graph\\apple_stock_data_graph.py`](https://github.com/dotpep/stock-analyze/blob/main/stock-graph/apple_stock_data_graph.py)\n\n![Apple Stock Data Graph](assets/apple_stock_data_graph.png)\n\n## Using Technology\n\n- Jupyter Notebook\n- IBM cloud, IBM Watson Studio\n- Yahoo Finance API\n- Webscraping using BeautifulSoup\n- yfinance to extract stock data\n- pandas\n- matplotlib\n- plotly\n\n## Installation\n\n- You can 1. clone nessacarry graphs file 2. install dependencies 3. run this code and you must see results of stock graph visualization with matplotlib and plotly.\n\n## Resources\n\n- [My IBM Data Science GitHub repo](https://github.com/dotpep/python-sample-space/tree/master/IBM_Data_Science_Professional_Certificates_coursera)\n- [IBM](https://www.coursera.org/learn/python-project-for-data-science)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdotpep%2Fstock-analyze","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdotpep%2Fstock-analyze","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdotpep%2Fstock-analyze/lists"}