Cypher uses machine learning to detect meaningful patterns and trends in your trading. However, to ensure reliability, these models require a much larger dataset — typically at least a few hundred trades. With only 17 trades, there simply isn’t enough data for the AI to draw any statistically significant or trustworthy conclusions.
We’ve also deliberately chosen not to force the system to generate insights when the data is insufficient. Trying to extract patterns from such a small number of trades would likely result in false positives — misleading suggestions that appear valid but are actually based on random noise. Our goal is to help you trade better, not misguide you with inaccurate advice. We encourage users to keep logging their trades. As their history grows, Cypher will become much more powerful and insightful in analyzing their trading behavior.