Summary

In this chapter, you learned how to predict stock prices. We covered the different machine learning algorithms that can help us in this. We tried Random Forest Regressor, Logistic Regression, and multilayer perceptron. We found out that the multilayer perceptron works really well. I really want to discuss something beyond what we have done so far. If you are under the impression that using the sentiment analysis of news and predictive methods, we can now correctly predict the stock market price with a hundred percent accuracy, then you would be wrong. We can't predict stock prices with a hundred percent accuracy. Many communities, financial organizations, and academic researchers are working in this direction in order to make a stock market price predictive model that is highly accurate. This is an active research area.

So if you are interested in research and freelancing, then you can join some pretty cool communities. There are two communities that are quite popular. One of these...