This notebook contains an independently developed Keras/Tensorflow implementation of the CNN-LSTM model for Limit Order Book forecasting originally proposed by Zhang et al. (https://arxiv.org/pdf/1808.03668.pdf). The current implementation was adopted in the paper written by Briola et al. (https://arxiv.org/pdf/2007.07319.pdf).
☆38Oct 18, 2020Updated 5 years ago
Alternatives and similar repositories for CNN-LSTM_Limit_Order_Book
Users that are interested in CNN-LSTM_Limit_Order_Book are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Pytorch implementation of DeepLOB-ATT and DeepLOB-Seq2Seq from Multi Horizon Forecasting for Limit Order Books☆14Feb 4, 2023Updated 3 years ago
- ☆213Mar 29, 2023Updated 3 years ago
- Limit Orderbook CNN model implementation for ETH-BTC (buy-low-sell-high indicator)☆17Mar 20, 2023Updated 3 years ago
- Deep learning models for high-frequency financial data (limited order book)☆19Apr 2, 2019Updated 7 years ago
- This repo contains some codes and outputs of my implementation of DeepLOB model.☆94Mar 12, 2021Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆13Mar 31, 2019Updated 7 years ago
- Limit Order Book data analysis and modeling using LSTM network☆137Mar 27, 2019Updated 7 years ago
- This repo contains my reimplementation and improvement of DeepLOB model.☆32Apr 22, 2021Updated 5 years ago
- Python package for a class of tractable SPDE models for limit order book modeling☆38Jun 20, 2021Updated 5 years ago
- Deep learning modelling of orderbooks☆102Oct 8, 2020Updated 5 years ago
- High-frequency trading in a limit order book