2/2 — it's a single ML model running 24/7, making its own buy and sell decisions on ETH. No human input, no manual overrides.
It watches 100s of real-time features every minute — price action, volatility, and proprietary on-chain data that took years to build. When it sees a high conviction setup with rising momentum, it enters. When conviction fades, it exits. No fixed targets, no stop losses based on price — it exits based on its own changing view of the market.
Retrained often on fresh data so it never goes stale. Same rules work across every model without retuning.
The edge isn't about predicting direction — it's right about 50/50 on that. The edge is finding moments where the upside move is structurally larger than the downside. Repeat that 200 times a year and let compounding do the work.
4 years of building the data pipeline, training infrastructure, and figuring out why models stop working. The model itself trains in hours. The system around it took years.
Finally done and have been trading live since Feb 5th. I built a model that contains a real edge in trading, and it works out of sample/live. Only took 4 years #AI#ETH#Crypto#trading