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Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.
A utility for fundamentals data of China commodity futures
This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy gradient (DDPG) learning algorithm
Reinforcement Learning for Portfolio Management
Technical Analysis Indicator Function Library in C
Quantitative finance research tools in Python
Tars is a highly performance rpc framework based on naming service using tars protocol and provides a semi-automatic operation platform.
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
quant strategy backtesting from pobo financial
Ultra fast and low latency C++ Logging library with flexible configuration and high throughput in multithreaded environment
Trading robot for trade on crypto exchanges
Common financial technical indicators implemented in Pandas.
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
100-Days-Of-ML-Code中文版
Tuchart is a visualization interface for the Chinese stock market. Tuchart supports candlestick charts, price charts, tick data, high-frequency data and distribution of top shareholders for individ…
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI
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