About accuracy of LSTM
It would be easier if you measure MAE instead of RMSE, as it is the L1 is a more "natural metric".
If you want to estimate how good is your model, you need to build baselines. You could check for example how does the error change it you predicted always the average, or if you predicted always the last available data point.
That said, once you compute that, you could calculate relative metrics, for example the MAE of your model divided by the MAE of one of those Benchmarks. This builds upon the idea of the MASE metric from Rob Hyndman. I recommend you to have a look at it.
I just built a price prediction model with LSTM and the RMSE was approximately 0.12. The price range is from 0 to 3. Does it mean the model is accurate? Are there any other ways to measure LSTM's accuracy?
Thank you!