Backtesting Crypto Trading Strategies with Python & C++ 2022

_Course Instructor: Vincent Carmier
Course Title: Backtesting Crypto Trading Strategies with Python & C++ 📚⚫️

Course Headline: Use Python and the Power of C++ for High-Performance Backtesting and Optimization of your Trading Strategies! 🚀💻

Why You Should Take This Course:

• Master the Art of Backtesting: Before you risk real money, test your trading ideas to see how they might perform in various market conditions. This course will guide you through the process of estimating your strategy's potential performance with precision. 📊✨

Key Skills You Will Master:

• Data Management: Learn to collect and store large amounts of market data efficiently, with a focus on using HDF5 format, which is less commonly known but incredibly powerful for handling high-volume data. 🗂️💾

• Python Programming: Dive deep into Python, one of the most versatile and user-friendly programming languages. You'll use it to build the main features of your backtesting system and calculate technical indicators with the help of the Pandas library. 🐍📈

• High-Performance C++ Coding: Discover how to leverage the speed and efficiency of C++ for complex operations on large datasets in your backtesting processes. You'll find that C++ can be more approachable than you think! 🧑‍💻🔧

• Scientific Optimization Approach: Implement an NSGA-2 optimization algorithm, which is part of the Genetic Algorithm family, to fine-tune your trading strategy's parameters and maximize performance. This advanced technique sets this course apart from others. 🔬🧙‍♂️

Course Highlights:

• Applicability Across Markets: While the focus is on cryptocurrency, the skills and methodologies you'll learn in this course can be applied to traditional markets like stocks, making it a versatile tool in your trading arsenal. 🌐🌍

What You Will Learn:

• Data Collection and Storage: Learn how to fetch data from various cryptocurrency exchanges and organize it effectively.

• Python for Backtesting: Use Python to build the framework of your backtesting system, including calculating technical indicators from scratch with precision.

• C++ for Performance: Understand when and how to use C++ to perform high-performance backtesting on large datasets.

• Optimization Algorithms: Write and apply an NSGA-2 optimization algorithm to find the optimal parameters for your trading strategy.

Who is this course for?

• Aspiring traders who want to validate their strategies before live trading 🏦📈
• Programmers looking to apply Python and C++ in the context of financial markets 🧑‍💻🧑‍⫫
• Investors interested in learning advanced techniques for backtesting 📚🔍

Disclaimer:

This course aims to provide you with the tools and knowledge necessary for effective backtesting. However, it's essential to remember that no strategy can guarantee success in trading. This course is for educational purposes only, and any trading activity involves risk. Please do your own research and consult with financial professionals before making investment decisions. 🔑📘

Embark on a journey to transform your trading strategies into robust, tested, and optimized models. With this course, you'll have the skills to confidently navigate the complex world of crypto trading backtesting, armed with the power of Python and the performance of C++. 🚀🔧🚀