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Prediction of Fund Net Value Based on ARIMA-LSTM Hybrid Model
The net value of the fund is affected by performance and market, and the researchers try to quantify these effects to predict the future net value by establishing different models.
An Improved Reinforcement Learning Model Based on Sentiment Analysis
The authors combined the deep Q network in reinforcement learning with the sentiment quantitative indicator ARBR to build a high-frequency stock trading model for the share market.
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation
RPT is pre-trained for a tuple-to-tuple model by corrupting the input tuple and then learning a model to reconstruct the original tuple.
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