Title: Application of a Shallow Neural Network to Short-Term Stock Trading,
Abstract: Machine learning is increasingly prevalent in stock market trading. Though
neural networks have seen success in computer vision and natural language
processing, they have not been as useful in stock market trading. To
demonstrate the applicability of a neural network in stock trading, we made a
single-layer neural network that recommends buying or selling shares of a stock
by comparing the highest high of 10 consecutive days with that of the next 10
days, a process repeated for the stock's year-long historical data. A
chi-squared analysis found that the neural network can accurately and
appropriately decide whether to buy or sell shares for a given stock, showing
that a neural network can make simple decisions about the stock market.