IRF-LLM-accepted-at-WWW25-
Unverified Other strategy on Multi by wencyxu. BotFinder score 18 out of 100.
Accepted at WWW 25 Industrial Track (oral)
Source: github
BotFinder analysis pending.
IRF-LLM-accepted-at-WWW25-
If you find our research helpful, please cite our paper: IRFT(mining high-frequency risk factors with transformer) 1 How to config the environments: - on Ubuntu 20.04.5 - scikit-learn==1.1.0 - matplotlib==3.7.4 - numpy==1.24.4 - numexpr==2.8.1 - python 3.8 - scipy==1.10.1 - sympy==1.10.1 - sympytorch==0.1.4 - typingextensions==4.9.0 - torch==1.11.0 2 Prepare training data and model: Download the and folder from the website . Download and put the and in the same folder. The folder contains two folders, representing two types of high-frequency trading data for the stock market (the data has been preprocessed, without leaking any important information): the folder and the folder. Both folders contain , respectively. 3 How to train model:
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