1D Convolutional Neural Network for Stock Market Prediction using Tensorflow.js

Authors : Sandeep Chavan, Harshil Doshi, Diksha Godbole, Pranav Parge, Deipali Gore.

Volume/Issue : Volume 4 - 2019, Issue 6 - June

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/2Lnh7v2

Stock also known as equity or shares is a type of security that signifies ownership in a corporation and represents a claim on part of the corporations assets and earnings whereas a stock market or share market is the aggregation of buyers and sellers of stocks. Stock Exchange is defined as a process where the stock brokers can buy as well as sell the shares, bonds or other securities. Many companies regardless of their domains or sectors make their stocks or shares available through Stock Market. Such type of an exchange deals with concentration and a focused mind as the entire process is dealing with valuable assets of a person. Thus to ease the process of stock exchange many stock brokers use the act of predicting the stock prices i.e.

Keywords : Stock, Stock Market, Stock Exchange, Ma- chine Learning, Deep Learning, Neural Network, Prediction/Forecasting, Time Series Prediction, Convolutional Neural Network, JavaScript, Tensorflow.js


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