I trained the following families of machine learning models on stock market minute bar data
- Standalone convolutional neural networks
- Standalone LSTMs
- Convolutional LSTMs (A combination of convolutional neural nets and LSTMs as described in the video)
I explain what a minute bar is, and discuss the intution behind combining convolutional neural nets and LSTMs for the last family of models mentioned. I then present the theoretical performance of each of the families of models, and then show some real world performance.
Here's the link to my short book on investments: https://www.eddywealth.com/e-books/
00:00 Introduction
00:23 Minute bar data
01:07 Families of machine learning models
02:47 Data segmentation
04:34 Model assessment
05:04 Backtested model performances
08:24 Real money performance
11:06 Final remarks
Disclaimer: This video is for educational purposes only. It doesn't constitute advice.