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HFTFramework utilized for research on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "

License: Apache License 2.0

Java 12.90% Batchfile 0.15% Python 3.22% Jupyter Notebook 31.15% MQL5 46.43% HLSL 0.07% MQL4 5.91% C 0.13% PowerShell 0.01% Shell 0.02%
algorithmic hft high-frequency-trading trading trading-bot trading-strategies deep-learning market-maker market-making market-making-bot

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