Full project description
We treat each trade as a controlled experiment, changing one variable at a time, recording 46 metrics per trade, and the output is a compounding empirical map of market behavior - owned by the network, defended by validators, and harder to replicate w every surviving experiment Most market AI optimizes inside a box of human assumptions, a fixed logic stack and therefore they only find what humans thought to look for. Classroom starts with data, the data we couldn’t possibly see until now. The prototype is live. 96,000+ metric-events, running and growing. This is no longer an idea. Whitepaper + repo below. https://cuteclawmc.github.io/TheClassroom/
Why it works on Bittensor
The value is not just the strategy output. The value is the rate of discovery, and an subnet scales that to compounding speeds
