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AI Stock Sentiment Tracker Used AI
This project utilises my creating my own API (similar to what Yfinance does) as well as using Web Scraping to get data and use the News API to summate a good sentiment for different stocks that a user can click on. It is a full stack project using Flask, Python, PHP, MySQL, JS, Html, CSS and will soon be turned into React for Mobile deployment
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Timeline
Finished the entire app. Added the settings tab which includes password changing and logout. Debugged some login issues.
Created a simple Linear Regression AI to predict Price based off of past data. Now all that is left is producing the Settings page which contains Log Out, and Change Password Details.
Completed the graph creation aspect of each favorited ticker
Finished the news for each ticker, as well as deleting the ticker from favourites. All that is left is creating the graph for the ticker using data history then creating me ai to predict a price.
Finished the showing of details about the ticker when clicking on it.
Created the add companies and user companies part of the dashboard page and fixed some errors with my backend logic
Started to create the theme and layout of the dashboard, need to do the top right of it and the pages aspect then move onto my api usage.
Completed the signup and login page. Going to add some bits and bobs like forgot password (on login) and email verification (on signup). But its looking pretty good right now.
Finished the figma design for the login, signup and account dashboard page. First im doing the signup, then login then the account dashboard
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Finished the entire contact page, with working sending email through Flask_mail. Next is the account page where I will first set up the database through python :)
Created the contact page design in figma, now all thats left is coding that and finally moving onto the account page.
Finished the entire news page with a live search bar which constantly searches for the top articles matching search input and gives a horizontal scrolling list of all top news articles right now.
Finished the entire index page with working live news and live top companies. Pretty good so far, next is going to be the news tab than contact then finally account and settings
Finished the live companies part of my index page with a good UI, good responsive design, live graph making using matplotlib, live top 5 companies (changes), need to do the live news next using my API data.
Created a mockup design for the index page on figma. Going to now code the index page before moving onto the next pages
Currently finished the backend Sentiment analysis and all the data scraping. All thats left is creating a mockup design on figma and using that to create my flask app.
