Cool to see that you created a notebook and are publishing this like a paper. I was thinking of doing some projects and this looks like a good format to follow

Cool to see that you created a notebook and are publishing this like a paper. I was thinking of doing some projects and this looks like a good format to follow. However, this looks to be grossly overfitting. You can't just randomly drop out samples in a time series and use those for the test dataset. You need to cut out larger contiguous sequential time ranges and reserve those for your test set. Probably a single contiguous time window. Anyone can predict with a high degree of accuracy what stock price is given the last 5 days and the next 5 days. Predicting a few randomly dropped out pixels in that graph is really easy due to the nature of time series. You can just interpolate it.