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Predictions and Trend analysis for stock market using machine learning algorithms

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Pseudo Trading Platform

A Website which allows users to trade using virtual credits. This is mainly for beginners to understand the market and evaluate their trade stratergies. It has features such as price predictions, optimized portfolio, bollinger bands and support-resistance bands. Different ML techniques such as LSTM, RL, ARIMA and SVR were used. Yahoo API has been used to fetch live data.


The website is built using the MERN Stack. MongoDB is used to store data, React is used to implement the frontend and NodeJS-Express is used for the backend server. Apart from the Node server, a flask server has been used to run the python models.


To run the Application:

In trainer directory run "node start" - starts the react website

In backend directory run "node start" - starts the node server

In flask directory run "flask run" - starts the flask server

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