This project aims to gather social sentiments from the internet mainly Reddit, apply machine learning
techniques to predict short-term future stock prices so as to provide user recommendation to which
US-stock they should keep an eye on.
Intended Outcome: A fully responsive web dashboard, allowing user to view daily most
mentioned stocks, suggested daily stock screening result. Recommend investors respective stock's
investment position, daily stock forcast with trends.
Tech-Stack: Python, Bootstrap, Django, SQLite3.
Databaseless Django Web Application: A simple YouTube Searcher, that fetch top 9 videos
based on query.
Simple bootstrap included: E.g., Cards
This Project queries/interact
with YouTube API, parsing result such as video id / link / thumbnail / duration.
Finally deployed with Heroku.
My First web application. Mainly using the streamlit Library as its utilites for
building a web application is rather simple.
Also the wallstreetbets GME incident sparked me to learn more about the finace market.
The
data fetching process uses psaw, while gathering stock prices uses alpaca_trade_api.
For data visualization, I used streamlit
built in write function with the help of pandas library. Finally deploying this web application with
Heroku.
This was a really fun experience!
Curves are nice!
This project is based from Zenva Academy, using JavaScript - Phaser3. Game Map is created using TILE
HTML5 CSS JavaScript
Theme: HTML5UP
The fully responsive Portfolio Web Site you are currently visiting on. My portfolio is consistanly being
updated!
This is my first ever coding experience in my freshman year. A responsive web site with basic HTML, CSS
and JavaScript knowledge.
