Description
Backtesting Crypto Trading Strategies with Python & C++ 2022 is a project-based training course for backtesting trading strategies in the cryptocurrency market with Python and C++ programming language, published by Udemy Academy. Backtesting is a very basic skill in designing and developing trading strategies that can help us identify the disadvantages and problems of a strategy and then solve them. Continuous optimization of trading strategies is very important and necessary. Backtests help you test your strategy before the final implementation and avoid huge losses in the future. A rough estimate of the performance of a trading system is only possible through backtesting. Building a mental and operational framework for backtesting is one of the most important parts of this course.
Before starting any backtesting process, we must make sure to obtain and receive correct and valid price and time data in different markets. Our data must be valid and the process of collecting, storing and organizing them must be transparent to us.
What you will learn in Backtesting Crypto Trading Strategies with Python & C++ 2022 course:
- Collection and storage of various market data through REST API of exchanges
- Data storage format HDF5
- Use a powerful library Pandas To perform sensitive and technical calculations
- Creating a connection between Python and C++ programs and functions
- And ….
Course details
Publisher: Yudmi
teacher: Vincent Carmier
English language
Training level: introductory to advanced
Number of courses: 54
Training duration: 8 hours and 15 minutes
Course headings
Course prerequisites
Basic Python knowledge (know what a class/object is, dictionaries, lists, functions, loops, etc.)
Basic knowledge about trading (what candlesticks are, Long/Short…)
Course images
Video introducing the course Backtesting Crypto Trading Strategies with Python & C++ 2022
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
2.3 GB
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