Cryptocurrency Trading Strategies | Quantra Courses | Python for Trading

This course is perfect for those who have a basic understanding of cryptocurrency trading or who are already trading cryptocurrencies.
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This course covers the creation of four strategies in a step-by-step manner, and we will do this in Python. In the first section of the course, we will learn about an unsupervised learning algorithm called K-Means. This machine learning model is used to detect patterns in the data without explicitly labeling the data. We will learn how to code this model and use it in a trading strategy to capture market trends.

In the next section, we will learn to create a pairs trading strategy. Pairs trading is a very popular trading strategy used in the Forex markets. In this section, we will learn how to apply this concept on different cryptocurrencies and create a trading strategy.

In the third section, we will learn about a statistical technique called the Hurst exponent. It is used to determine the persistence of a time series. We will learn how to calculate Hurst exponent and use it in a trading strategy to trade both trending and sideways markets.

The final section covers a quant strategy framework. This framework is used to develop a long-only momentum trading strategy on a group of cryptocurrencies.

All these strategies are available as downloadable Python codes which you can tweak and use in your own trading after thorough backtesting and analysis.

Quantra is an online education portal that specializes in Algorithmic and Quantitative trading. Quantra offers various bite-sized, self-paced and interactive courses that are perfect for busy professionals, seeking implementable knowledge in this domain.

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