quasar-hft
Popular repositories
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DeepLOB-Deep-Convolutional-Neural-Networks-for-Limit-Order-Books
DeepLOB-Deep-Convolutional-Neural-Networks-for-Limit-Order-Books PublicForked from zcakhaa/DeepLOB-Deep-Convolutional-Neural-Networks-for-Limit-Order-Books
This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-201…
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SGX-Full-OrderBook-Tick-Data-Trading-Strategy
SGX-Full-OrderBook-Tick-Data-Trading-Strategy PublicForked from rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
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gym-continuousDoubleAuction
gym-continuousDoubleAuction PublicForked from ChuaCheowHuan/gym-continuousDoubleAuction
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
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ML-HFT
ML-HFT PublicForked from bradleyboyuyang/ML-HFT
High frequency trading (HFT) strategies built for futures using machine learning and deep learning techniques
Jupyter Notebook
Repositories
- SGX-Full-OrderBook-Tick-Data-Trading-Strategy Public Forked from rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
- ML-HFT Public Forked from bradleyboyuyang/ML-HFT
High frequency trading (HFT) strategies built for futures using machine learning and deep learning techniques
- gym-continuousDoubleAuction Public Forked from ChuaCheowHuan/gym-continuousDoubleAuction
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
- DeepLOB-Deep-Convolutional-Neural-Networks-for-Limit-Order-Books Public Forked from zcakhaa/DeepLOB-Deep-Convolutional-Neural-Networks-for-Limit-Order-Books
This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.
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