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TradeMaster is a first-of-its-kind, best-in-class open-source platform for quantitative trading (QT) empowered by reinforcement learning (RL), which covers the full pipeline for the design, implementation, evaluation and deployment of RL-based algorithms. TradeMaster is composed of 6 key modules: 1) multi-modality market data of different financial assets at multiple granularities; 2) whole data preprocessing pipeline; 3) a series of high-fidelity data-driven market simulators for mainstream QT tasks; 4) efficient implementations of over 13 novel RL-based trading algorithms; 5) systematic evaluation toolkits with 6 axes and 17 measures; 6) different interfaces for interdisciplinary users.

Analyze, winning percentage, back test and estimate the maximum rate of return from the historical prices of an equity stock listed in NSE, India between any two selected dates for more than 20 years. INVESTOCK program is used to get the historical prices of an Indian share listed in National Stock Exchange( NSE), India between any two selected dates. All the shares listed in National Stock Exchange (NSE), India can be analyzed. Interactive graphs will be displayed for the...

This project is intended to provide Git access to the code of the original project, TA-Lib, which uses Subversion. It is intended for system integrators wishing to use TA-Lib in their Git-managed project through Git submodules or subtrees. No actual development is being done here; all development happens in the original project.