Inspiration

The biggest challenge in the stock market today is predicting stock prices. Stock price data represents financial time series data that is more difficult to predict due to its characteristics and dynamic nature. We will assist our users by predicting the stock market prices using LSTM algorithm.

What it does

To solve the problem, LSTM is an another way to update the weights not only through multiplication but also through addition. Our code predicts about a given stock which is visualized through graphs. We offer a list of companies listed under NIFTY 50 and the user can download the data of the respective company from the link for its prediction. We have also used Yahoo Finance API for real time stock prices.

How we built it

The code is build on Google Colab using various Python libraries and Yahoo Finance API. We used LSTM since LSTM networks are well suited for classifying, processing, and predicting based on time series data because delays of unknown duration can occur between important events in a time series.

Challenges we ran into

The restriction with this code is that it can only assist in predicting stock market prices for the companies listed in the Kaggle link.

Future of NIFTY 50 Stock Prediction

Due to time constraints we built it on Google Colab, later we are planning to create it as a Python software making it more user friendly.

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