Stock Market Prediction

Abstract

Predicting the Stock Market has been the goal of investors since its existence. Everyday billions of dollars are traded on the exchange, and behind each dollar is an investor hoping to profit in one-way or another. The recent trend in stock market prediction technologies is the machine learning to predict stock values. Using cutting edge technology such as AI can improve prediction stock price. The stock market is characterized by extreme fluctuations, non-linearity, and shifts in internal and external environmental variables. The programming language used to predict the stock market using machine learning is Python. In this context this study uses Artificial Intelligence technique called Long short-term Memory (LSTM) to predict stock prices for the large and small capitalizations and in the market, here we use LSTM for stock market price prediction. For the trader agent - selling and buying stocks to make a profit - we use Reinforcement learning.