checkbox manager and handling

_dev/notes.md

@@ -1,6 +1,26 @@
+>> Models
 how we manage our training W&B checkpoints?  we need to clean up old checlpoints. for every model we keep 5 checkpoints maximum and rotate them. by default  we always load te best, and during training when we save new we discard the 6th ordered by performance
 
 add integration of the checkpoint manager to all training pipelines
 
-we stopped showing executed trades on the chart. let's add them back
+skip creating examples or documentation by code. just make sure we use the manager when we run our main training pipeline (with the main dashboard/📊 Enhanced Web Dashboard/main.py)
+.
+remove wandb integration from the training pipeline
 
+
+do we load the best model for each model type? or we do a cold start each time?
+
+
+
+>> UI
+we stopped showing executed trades on the chart. let's add them back
+.
+update chart every second as well.
+
+>> Training
+
+how effective is our training? show current loss and accuracy on the chart. also show currently loaded models for each model type
+
+
+>> Training
+what are our rewards and penalties in the RL training pipeline? reprt them so we can evaluate them and make sure they are working as expected and do improvements