# Stock Market Prediction with Machine Learning
This is a project I have done using matlab in the spring of 2018. It is an implementation of machine learning on stock market data.
For this project, no libraries were used. The deep learning algorithm was written manually based on mathematical principles.
SP500.pdf includes background, method, and how to run the programs found in this repository. Sort of a walk-through. It is intended for people who don't have a thorough understanding of stock market analysis.
project_stock.m is the main algorithm that trains with the historical data and predicts the S&P500's next day price.
Figures file include the figures found in the SP500.pdf file.
Data file includes the S&P500 and VIX historical data, both retrieved from Yahoo Finance. S&P goes back to 1950s while VIX goes back to 1990s. I used a modified version of realized standard deviation to extrapolate VIX into 1950s.
Others file include codes that test the machine learning algorithm with toy data. There is also a code that can visualize the S&P500 along with a technical indicator for the desired period.
Some nice figures from this project:
SP500-master.zip （26个子文件） 
SP500-master 
SP500.pdf 7.61MB Others 
data_preparation.m 8KB project_toy3.m 5KB data_plot.m 3KB project_toy1.m 5KB project_toy2.m 5KB README.md 1KB Data VIX.csv 133KB SP.csv 1.2MB Figures 
Figure 15.png 739KB Figure 16.png 602KB Figure 14.png 658KB Figure 1.png 689KB Figure 13.png 502KB Figure 11.png 308KB Figure 8.png 239KB Figure 3.png 437KB Figure 10.png 400KB Figure 9.png 468KB Figure 2.png 701KB Figure 7.png 317KB Figure 4.png 300KB Figure 5.png 262KB Figure 12.png 612KB Figure 6.png 405KB project_stock.m 4KB资源评论
雨中漫步杲2022-09-26这个不能运行啊
