Shypd.aiThe largest open index of AI toolsDeepLOB-Deep-Convolutional-Neural-Networks-for-Limit-Order-Books is an open-source Finance tool that demonstrates deep convolutional neural networks for limit order book analysis. It uses the FI-2010 dataset and provides model architectures in both TensorFlow and PyTorch.
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DeepLOB-Deep-Convolutional-Neural-Networks-for-Limit-Order-Books is a Jupyter notebook project showcasing the application of deep convolutional neural networks to analyze limit order books. This tool is based on research published in IEEE Transactions on Signal Processing, providing a practical demonstration of the methodologies presented in the paper. It utilizes the publicly available FI-2010 dataset to illustrate how the model architecture is constructed and implemented. The project offers implementations in both TensorFlow (versions 1 and 2) and PyTorch, making it accessible to researchers and developers familiar with either framework. It serves as a valuable resource for understanding and replicating advanced deep learning techniques in financial market analysis.
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