Inspiration
In case of a Pandemic or any natural calamity, the stock market goes unstable and people start panic-selling their stocks to cash out their money.
What it does
StockInsider is a web application built for Investors, Stockbrokers and Traders, that visualizes the data linked between natural calamities and the open value of different stock exchanges. With the help of this web app, they can choose a stock exchange as per its reliability.
How I built it
Back-end: Python-Flask
Front-end: Plotly (Python)
Datasets used: https://www.kaggle.com/mattiuzc/stock-exchange-data
https://www.kaggle.com/headsortails/us-natural-disaster-declarations
Challenges I ran into
Fetching the graph on the web page, creating subplots and correlating data.
Accomplishments that I'm proud of
I'm proud of building my first financial hack with Plotly Express and adding it to my web app.
What I learned
I learned about Plotly, Flask integration and pandas.
What's next for StockInsider
I'll use sci-kit learn to create a machine learning model that can predict the closing price for each exchange.
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