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Crypto Currencies and the application of Machine Learning

Updated: Apr 18, 2023


Education is the cornerstone of commerce and advancement, and we are here to help you. This blog post is for individuals who have a maybe some or no understanding of machine learning but would like to find out more in easy to follow and digest episodes.



Machine learning is becoming increasingly important and helpful in many different fields. One area where it has shown particular promise is in the world of cryptocurrency trading. In this article, we will explore the application of machine learning in the cryptocurrency trading space.

Machine learning is a field of artificial intelligence (AI) that involves training computer algorithms to learn from and make predictions or decisions based on data, without being explicitly programmed to do so. Essentially, it is a way for computers to learn from data and improve their performance over time without human intervention. Machine learning algorithms can be applied in many different fields, including image recognition, natural language processing, and of course, financial trading in the cryptocurrency space.



Ok lets get the next bit out of the way….. Machine learning algorithms are not sentient, which means they do not have consciousness or a sense of self-awareness. They are simply a set of rules and mathematical models that are programmed to learn from data and make predictions or decisions based on that data.

While machine learning algorithms can be highly sophisticated and can sometimes appear to mimic human intelligence, they do not have the ability to think or reason on their own. They are simply a tool that humans can use to analyse data and make more informed decisions.

Furthermore, machine learning algorithms are highly specialized and can only perform specific tasks for which they have been trained. They do not have the ability to generalize or apply their learning to new or unforeseen situations without further training or modification by humans.

Maybe without you realising machine learning has integrated itself into your everyday life when you use services, applications, or an internet service from helping to make traffic flow better in your streets to solver in MS Excel and Google’s search engines.Machine learning is getting to a place whereby its application is getting easier and more and more seamless.Indeed, there are plenty of situations now where machine learning will be used and you will not realise that you’re doing so.GPT Chat is a great example of how machine learning is now becoming simpler to use while providing almost natural answers to questions.



With the advent of fast computers, machine learning in trading has become more prevalent in recent years, with many hedge funds and other financial firms using algorithms to make investment decisions. These algorithms are based on machine learning techniques such as neural networks, decision trees, and support vector machines.

Machine learning algorithms can analyse vast amounts of data and find patterns at a speed that would be difficult or impossible for humans to detect. This ability to analyse data and detect patterns makes machine learning particularly well-suited for use in the cryptocurrency market, where data is abundant and complex patterns can emerge rapidly.

One of the primary applications of machine learning in the cryptocurrency trading space is in predicting the price of cryptocurrencies. Predicting the price of cryptocurrencies is a difficult task, as there are many different factors that can influence the value of a particular coin. Machine learning algorithms can consider a wide range of data sources, including news articles, social media sentiment, and market data, to predict the price of cryptocurrencies.

For example, a machine learning algorithm might analyse news articles and social media sentiment to predict whether the price of Bitcoin is likely to go up or down in the near future. The algorithm might also take into account technical analysis indicators such as moving averages, Fibonacci retracements, and Bollinger Bands to make more accurate predictions.



Another application of machine learning in the cryptocurrency trading space is in identifying trading signals. Trading signals are patterns or trends that can indicate a buy or sell opportunity. Machine learning algorithms can be trained to recognize these patterns and generate trading signals based on them.

For example, a machine learning algorithm might analyse the price and volume of a particular cryptocurrency and identify a pattern that has historically been associated with a buying opportunity. The algorithm could then generate a trading signal indicating that it is a good time to buy the coin.



Machine learning can also be used to optimize trading strategies. This is different to signal generation as analysing historical market data, machine learning algorithms can identify which trading strategies have been most effective in the past and use this information to make better trading decisions in the future.

For example, a machine learning algorithm might analyse the historical performance of a particular trading strategy and identify areas where the strategy could be improved. For example, the strategy maybe trending in nature, the machine learning algorithm may detect that in periods of mean reversion the performance deteriorates and suggest changes to the strategy, such as adjusting the stop loss or take profit levels, to improve its performance.

Finally, machine learning can be used to identify and prevent fraud in the cryptocurrency market. Fraud is a significant problem in the cryptocurrency industry, with many scams and fraudulent projects taking advantage of investors. Machine learning algorithms can be trained to identify fraudulent activity and prevent it from happening.

For example, a machine learning algorithm could be used to analyse the behaviour of users on a particular cryptocurrency exchange and identify patterns that are associated with fraudulent activity. The algorithm could then flag these users and prevent them from making transactions on the exchange. Of course, fraudulent individuals can come up with new ways to manipulate the markets however machine learning is getting to a state whereby it will quickly be able to identify the activity and report it.

In conclusion, machine learning is becoming an increasingly important tool in the cryptocurrency trading space. Machine learning algorithms can be used to predict the price of cryptocurrencies, identify trading signals, optimize trading strategies, and prevent fraud. As the cryptocurrency market continues to evolve, we can expect to see more and more applications of machine learning in this space.



Here at Atela we are applying machine learning techniques like the ones mentioned above to produce unique and sophisticated trading strategies and applications. We have a team of quantitative engineers who are constantly looking for new way to apply this growing science to increase our profitability while reducing our risks and costs. We want not only to increase performance and reduce the risks for customers and users of our services through the purchase of crypto strategies via our platforms using machine learning but also to help you understand the process behind what you are buying.



We wish to further educate you in machine learning and as well as help you profit from. To this end we will start a series of blogs outlining in terms that we hope will be early to digest byte size explanations of machine learning techniques. These will include simple to follow examples. Please stay tuned for blogs on this subject and other educational and topical matters. We would also like to hear you regarding techniques (in machine learning or general finance and trading) that you may of here of buy do not understand. Education is the cornerstone of commerce and advancement, and we are here to help you.


Find out more about machine learning with cryptocurrencies and see how Neomony can help you invest in the crypto currency markets please click on the pictures below.



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