Using machine learning for investment has always been a popular subject. In recent years, deep learning models have attracted a lot of attention, especially in the field of computer vision. Therefore, the paper introduced here provides a brand new approach by using the currently hottest computer vision neural network: Convolutional Neural Network (CNN) to predict … Read more
Source: DeepHub IMBA This article is approximately 5500 words, recommended reading time is over 10 minutes. This article explores the hybrid modeling method that combines temporal features and static features in the field of quantitative trading. By integrating Stacked Sparse Denoising Autoencoder (SSDA) and Long Short-Term Memory based Autoencoder (LSTM-AE), we aim to build a … Read more
On Kaggle, 90% of fields including finance, tree models (like XGBoost) outperform deep learning neural network models. Let’s analyze the reasons. 01 Tree VS NN Deep learning neural network models excel in fields such as image processing and natural language, but in tabular data, such as OHLC candlestick data, neither neural networks nor transformers outperform … Read more