Predicting stock prices.

Introduction

The stock market has always played a huge role in the global economy. That is why it will be meaningful to see how artificial intelligence can be applied in stock price prediction. As beginners to AI, this was an excellent project to start with. For AI projects, data is integral to its success and often it could be hard to obtain reliable data. However, the stock market has many different datasets that are readily available. Both from an interest and practicality perspective, stock price prediction was a great project for us who want to learn more about applications of AI in the real world.

Learn the basics of artificial intelligence and machine learning

Apply this knowledge to the stock price prediction project using online articles as aid

Have fun learning something new and interesting

Machine Learning by Stanford University

Neural Networks and Deep Learning

Predicting Stock Trend Using Deep Learning

Dataset: NSE Tata Global stock, Apple stock

Recurrent Neural Network (RNN)

Pandas: preprocessing

Keras: LSTM, Adam optimizer

The model is quite accurate in the beginning but the accuracy decreases as time increases