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This resposity is a pre-released verison of Python code used in the paper "Asset pricing via the conditional quantile variational autoencoder".
Here is the pre-released code for the FTGCN-based quantile and mean models in our paper "Big portfolio selection by graph-based conditional moments method"
Code for paper "Temporal Relational Ranking for Stock Prediction"