I am a data science enthusiast and decided to share some of my models results here. My current model scans over 300 stocks and 300 etfs. It tries to predict probable moves over the next 10 trading days. JNJ has been one that has been highlighted. Think the model is on to something considering that it has had quite a move down the last few months. The model has predicted 6 for JNJ which means it is expecting a reasonable move up over the next 10 days.
I use python for all my scripting of the machine learning. If you know about sklearn it can generate a confusion matrix like below for JNJ. I have included the confusion matrix on the chart where columns are what my model predicted and the rows are what the values actually were. The values 0 to 1 are indicative of a negative return over the next 10 trading days and 2 to 7 positive moves. 0 means a are large expected down move and 7 a large expected upward move for the stock.
Also have a look at my Patreon page where I publish more ideas: https://www.patreon.com/authentictrader
I use python for all my scripting of the machine learning. If you know about sklearn it can generate a confusion matrix like below for JNJ. I have included the confusion matrix on the chart where columns are what my model predicted and the rows are what the values actually were. The values 0 to 1 are indicative of a negative return over the next 10 trading days and 2 to 7 positive moves. 0 means a are large expected down move and 7 a large expected upward move for the stock.
Also have a look at my Patreon page where I publish more ideas: https://www.patreon.com/authentictrader