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Python in algorithmic trading - the thread with edicational videos
Forum on trading, automated trading systems and testing trading strategies
Python in algorithmic trading
MetaQuotes, 2023.04.13 11:31
MQL5 is a programming language that is specifically designed for creating high-performance trading applications in financial markets.
It offers faster speed and superior performance compared to other specialized programming languages used in algorithmic trading, and its syntax is similar to that of C++.
MQL5 supports OpenCL and also provides access to libraries for statistics, fuzzy logic, and ALGLIB. MetaEditor development environment enables easy importing of ".NET" libraries with "smart" functions that eliminate the need for special wrappers. C++ source code files (CPP and H) can be directly edited and compiled into a Dynamic Link Library (DLL) from the editor, and third-party C++ DLLs are also supported in MQL5.
Python is a widely used language in machine learning due to its extensive libraries and tools for data analysis and scientific computing, such as NumPy, Pandas, and Scikit-learn.
It also supports popular machine learning frameworks like TensorFlow and PyTorch for creating and training complex neural networks. Python's popularity in the machine learning community means that there are many online resources and communities available for developers to learn and share knowledge.
Python's MetaTrader5 package enables traders to perform trade operations in MetaTrader 5 client terminal and exchange data for statistical calculations and machine learning.