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Ahmed Log
Personal Log:
Week 1 (08/31 - 09/05): Discussion about how many neural networks will be required to make this application successfully terminate tasks, and predict stock prices. Conducted our first zoom call meeting, in which we assigned specific roles to each team member. Discussed in length about the building process of our application, the requirements to build our application, how often we will meet via mobile meetings. I did research on the types of stocks we will be feeding our information to in the neural networks. Robinhood data retrieval such as Top 100 Movers for stocks, limited stock prediction based off of stock indices, and looked more into historical stock prices and trend.
Week 2 (09/06 - 09/12): Began researching through Google Trends stocks price increases and drops based off incoming news, and days throughout the week. Continued pulling research data from Google Trends and charts from Robinhood. Began looking into libraries provided by fellow peers.
Week 3 (09/13 - 09/20): No advancement
Week 4 (09/21 - 09/28): Discovered a new website to draw information such as Stock Summary, Price and News, Valuation, Future, Past, Dividend, Management of the stock company, and more insightful information. Began looking into Django language usage and implementation.
Week 5 (09/29 - 10/03): Began learning and developing with Django/Python language. Conducted further Zoom calls to discuss the development of our Stock Prediction Web Application.
Week 6 (10/04 - 10/11): Developed the first testing file 'HelloWorld' and 'StockPredictionApp' in Django through Terminal. Did further research on Trends through Google Trends Data.
Week 7 (10/12 - 10/19): Modified README for the Source Control Milestone after a bug was included. Met with our team to discuss our plans for the remainder of the semester. Current tasks include providing team members with information needs such as the Stock Stats [stock open and close price, stock daily, weekly, monthly, yearly highs and lows, 52-week Highs and 52-week Lows, the Volume, Average Volume, and Market Cap].
Week 8 (10/20 - 10/27): No advancement
Week 9 (10/27 - 11/04): Created and completed the wiki page(s) for the (Ethical), Legal, and Security issues milestone. Researched data scraper to intake stock data for our app database. Also looked into historical stock data from tradingview.com, yahoo.finance.com, and investing.com
Week 10 (11/05 - 11/12): Continuation of the training of neural networks for refreshed stock data pull and storage. Meet on zoom to discuss potential issues we might run into or currently have. Also discussed the publication of our skeleton app progression and the goals for the remainder of the semester.
Week 11 (11/13 - 11/20): Continued neural networks training using TensorFlow. Began working on PoC Demo milestone and presentation.
Week 12 (11/21 - 11/28): Met on zoom, wrapped up final touches of project. Pushed up the neural network to Github. Continued working on PoC Demo milestone.
Week 13 (11/29 - 12/06): Finished PoC milestone presentation. Met with teammates to begin the presentation of PoC Demo video. Ensured all enhancements were functional on our web application. Met on zoom again to discuss future enhancements and features to our application.
Week 14 (12/07 - 12/14): No advancement / Done for the semester
Over break: Reviewed code from partners, researched more stock data, found better websites for historical data input and usage. Familiarized self more sufficiently in Django usage.
Week 1 (01/11 - 01/18): Began looking over new issues and improvements for web application.
Week 2 (1/19 - 1/26): Coordinated with team to schedule the first meeting of this semester.
Week 3 (1/27 - 02/03): Held first zoom meeting of the semester. Discussed further updates to application, personal tasks to complete for the semester and reviewed functionality and accessibility of site and code.
Week 4 (02/04 - 02/11): Began designing new User Interface for our web application.
Week 5 (02/12 - 02/19): Continued working on creating new user interface. Began looking into how to incorporate wait time for stock info pull into web application.
Week 6 (02/20 - 02/26): Continued working on creating new user interface. Ran into some complications - will continue to find a quick resolve. Should be finishing up soon. Will be presenting to teammates demo of UI. Finished user interface using react.js - was able to push code to my branch so other teammates may proceed to configure backend integration.
Week 7 (02/27 - 03/04): Created Login Page, Home page, and Place Holder pages for all stocks listed in our database.
Week 8 (03/05 - 03/12): Looked over the entirety of our code and made sure it ran smoothly.
Week 9 (03/13 - 03/20): Made sure "issues" were up to date and successfully completed.
Week 10 (03/21 - 03/28): Began working on new widget design and implementation for our web application. The widget will also implement the ability to give users an estimated wait time for updated data, and the ability to tell users when the data was last updated. Will push to GitHub within the next couple of days.
Week 11 (03/28 - 04/04): No advancements
Week 12 (04/05 - 04/12): Began designing new home page and profile page for web application.
Week 13 (04/13 - 04/20): Began redesigning the login page. Added QA labels to all of the new and incoming issues from different testers. Assigned issues to myself and other team members.
Week 14 (04/21 - 04/28): Completed the Website Milestone, pushed to git.
commit https://github.com/SCCapstone/StockPrediction/tree/ahmed/User-Interface-Files/python_project 8a379152936ef9e18a21da063915b3e382658fef
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