I started this project in January 2026 with a simple question: can a Transformer trained on technical indicators predict Bitcoin's direction better than a coin toss?
By June, the system had processed over 87,000 training generations, survived three major architectural bugs, and taught me more about machine learning than any course could.
This is not a "how to get rich with AI" post. This is the engineering story.
Architecture Overview
The system uses a hybrid Transformer + BiLSTM architecture:







