Algorithmic trading for a buy-sell platform: study and comparison

Abstract

With the high-paced change in the world, the market trends are changing fast and so do the technological innovations. The market is constantly moving and being affected by a number of external factors, making it difficult for investors to make decision. To solve this problem, a technique called Algorithmic Trading is being implemented widely. It refers to use of computer algorithms to make trading decisions without human intervention. In this paper, the algorithm used to predict the stock prices is the LSTM model which is a methodology of neural networks.The existing models are less accurate as they do not take technical factors into consideration. LSTM model, having error of only 0.00036%, overcomes this limitation and also takes temporal factor into consideration.

Keywords

• algorithmic trading
• lstm
• neural network
• ridge regression