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algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex, binance futures, market making)
Pythonで学ぶ強化学習 -入門から実践まで- サンプルコード
HFT backtest-engine for LOB data.
This repo contains some codes and outputs of my implementation of DeepLOB model.
Cloud-native Deep Reinforcement Learning. Please star. 🔥
A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. Please star. 🔥
J-Quants-Tutorial
This is a research about using ML or RL predictions for HFT Market Making. Backtest was build on Full order log
mbt_gym is a module which provides a suite of gym environments for training reinforcement learning (RL) agents to solve model-based high-frequency trading problems such as market-making and optimal execution. The module is set up in an extensible way to allow the combination of different aspects of different models. It supports highly efficient imp
High frequency trading (HFT) strategies built for futures using machine learning and deep learning techniques.
short exercises for Python
Git練習用
Transformers for limit order books
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