# DFT_25 **Repository Path**: nutquant/DFT_25 ## Basic Information - **Project Name**: DFT_25 - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2024-12-13 - **Last Updated**: 2024-12-13 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README The complete data processing flow and training process will be released in the future You should install the corresponding version of qlib using the following command DFT: A Dual-branch Framework of Fluctuation and Trend for Stock Price Prediction[https://arxiv.org/abs/2411.06065] ``` git clone https://github.com/SJTU-Quant/qlib.git cd qlib pip install . ``` Since the dataset is too large, we uploaded a test sub-dataset and a model parameter. You can directly run `python test_model_DFT.py` to get the test results. Based on https://github.com/caozhiy/MATCC https://github.com/SJTU-DMTai/MASTER