Google Stock Analysis Using Machine Learning

Peiyong Lin

Abstract


Stock price predictions have been a big obstacle for people to tackle from the start of stock trading. One of the biggest benefits of stock price prediction is that people can use this data to get an advantage in trading by knowing the price before the other people which significantly boosts the possibility of a positive investment. But because stock price is determined by many complicated factors and some are involved in real life situations such as a break out of war or an epidemic. It is really hard to predict the actual price of the stock. In this paper, it will talk about modern machine learning algorithms that will help people to predict the stock price. It will give a model of futute price but it will not guarantee to match with the real life performance of the stock due to many unpredictable factors.


Keywords


Stock Price Prediction; Modern Machine Learning Algorithms

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References


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DOI: https://doi.org/10.18686/esta.v9i4.300

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