Introduction to Algorithmic Crypto Trading

Cryptocurrency trading is notoriously challenging, both for individual retail investors using platforms like Robinhood and for prominent hedge funds such as Three Arrows Capital. A major obstacle in successful cryptocurrency trading is the general lack of a systematic approach. Often, retail traders make decisions based on influences from social media, FOMO (Fear Of Missing Out), or a variety of less-than-ideal reasons.

However, the rise of Large Language Models (LLMs) has opened up new possibilities for retail investors in tackling the complexities of cryptocurrency trading. With these models, investors can move away from making spontaneous buy or sell decisions. Instead, they can develop a set of predefined rules that dictate when to enter and exit trades.

The strength of this method lies in its systematic nature. It allows for the rules to be adjusted in response to changing market conditions, and for continuous improvement of these rules to maximize returns.

This article delves into how the average, non-technical person can approach algorithmic crypto trading in 2024, using these sophisticated tools to create a more disciplined and potentially more profitable trading strategy.

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