Can AI Remember the Market? Teaching LLMs to Detect When the Rules Change

TL;DR We built a memory system for LLMs to track Bitcoin market regimes. The LLM can't predict tomorrow's price any better than a coin flip (nobody can, honestly). But it can detect major market regime changes with zero false alarms, and unlike every statistical method, it tells you why the regime changed in plain English. That explainability is the real contribution. The Problem: AI Models Have Amnesia Imagine you trained an AI model to predict Bitcoin prices during the 2020-2021 bull run, a period when institutional investors were piling in, central banks were printing money, and everything was going up. The model learns the rules of that world pretty well. Then 2022 arrives. The Fed starts aggressively hiking interest rates. Crypto exchange FTX collapses. Luna implodes. The entire market enters a prolonged bear phase. Your model, still operating on the old rules, has no idea what hit it. This is called concept drift : when the underlying patterns that a model learned no longer refle