better pivots and CNN wip training
This commit is contained in:
@ -46,3 +46,7 @@ if there are no ticks, we bstitute them with 1s or lowest ohclv data.
|
||||
this is my idea, but I am open to improvement suggestions.
|
||||
output of the CNN model should be the next pibot point in each level
|
||||
course, data must be normalized to the max and min of the highest timeframe, so the relations between different timeframes stay the same
|
||||
|
||||
# training CNN model
|
||||
|
||||
run cnn training fron the dashboard as well - on each pivot point we inference and pipe results to the RL model, and train on the data we got for the previous pivotrun cnn training fron the dashboard as well - on each pivot point we inference and pipe results to the RL model, and train on the data we got for the previous pivot
|
Reference in New Issue
Block a user