Backtesting Crypto Trading Strategies with Python & C++ 2022 . Backtesting your trading ideas before implementing them in real conditions! Backtesting is an essential step when elaborating a trading strategy . This course will explain how you can use programming to estimate the potential performance of your trading strategies . Use the Pandas library to calculate Technical Indicators . Use Visual Studio Code and CMake to create a C++ Library . Use C++ to perform heavy calculations . Optimize your backtesting results with a Genetic Algorithm . Implement the NSGA-2 Algorithm to implement the NSNA-2 algorithm . Use Python and C make a CMake library to create C++ library .API quota exceeded. You can make 500 requests per day.
Who this course is for:
Traders who wish to backtest their strategies efficiently
Crypto exchange users who want to collect market data and store it
Developers who want to combine Python & C++
Anyone interested in multi-objective optimization with Genetic Algorithms
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Backtesting Crypto Trading Strategies with Python & C++ 2022 free download