Train a machine learning model of your choice on a company stock's historical data as well as 3 other data points. They can be the sentiment from twitter, news headlines, google trends, etc. Be creative, good luck!
This is the code for this video on Youtube by Siraj Raval. This takes the past 10 years of historical price data from the Dow Jones and the news headlines from New York times articles (sentiment analysis) to predict future prices.
- numpy
- pandas
- nltk
- scikit-learn
Install missing dependencies using pip
Run the jupyter notebook by typing jupyter notebook in terminal
Install jupyter here
Credits for this code go to dineshdaultani. I've merely created a wrapper to get people started.