I want a python code $($ program $)$that do the following For price prediction project:

If I have a table contains two columns, the first one is the date $($ in months $)$ named $(\text{'}$Date$\text{'})$and the second one is the price named $(\text{'}$GLD$\text{'}),$ I want a model that calculate the change in the prices between the month and the month before then the model try to predict this change. after the prediction of the price change $($ or price difference $)$done$,$ I want the model to add this predicted difference to the price value, which results a predicted Price. Then let the model plot the scatterplot $($ comparing actual and predicted $)$and do the error calculations, for these three machine learning algorithms:

$1-$XGboost

$2-$LSTM

$3-$reinforcement learning ANN

In three separate codes