GA in Prediction

In prediction, the role of genetic algorithms is extremely important, as they help identify which data matters and which data creates noise.

Why not LLMs?

Before explaining why genetic algorithms are the best choice for Web3 predictions, we need to address the burning question: Why can’t LLMs (large language models) do this job? LLMs are designed for communication, not for specialized tasks such as prediction. More data is not always better, especially in machine learning, because irrelevant data can introduce context that causes the model to hallucinate.

Genetic algorithm in prediction

Genetic algorithms excel at crypto prediction because of the wealth of raw data available today. From on-chain metrics to overall sentiment, they cut through the noise and assemble the most informative features to achieve the highest possible accuracy.