Academy & Industry Research Collaboration Center (AIRCC)

Volume 12, Number 16, September 2022

A Stock Forecasting App Using Machine Learning and Big Data Analysis
to Help Guide Decision Making when Investing in the Stock Market


Alex Xie1 and Yu Sun2, 1USA, 2California State Polytechnic University, USA


Currently, there is increasing participation in investment, especially in the stock market, as it appeals to more average citizens. One common roadblock these individuals receive is the lack of information about the economy, politics, regulation, etc., which could all affect the stock market. This app addresses this problem by collecting mass information from third-party social media. Information from social media platforms has its advantage mainly due to the citizen involvement and expertise some users may resemble. Pulling large amounts of data from these social media users avoids bias and establishes reliable sourcing. Using this information as a predictor, the app computes data and effectively predicts the performance of the stock for the next three days. By doing this, users of this app could easily get informed through instant quantitative prediction instead of having to read all over social media. This app also indirectly manages people’s wealth because it allows users to make smarter decisions, thus increasing their money potential. In certain areas, this app is able to perform the same duty as a licensed wealth manager.


Stock, Asset, Investment, Exchange.