My @WaveformBackup a2 agent just caught $MACHINES early... and the logic behind the trade says everything about how far these AI models have come. 👇 ↛. Wave-a2 model The new a2 model scales position size by conviction: ➠ 25% = early signal, testing liquidity. ➠ 50% = trend confirmation. ➠ 100% = strong narrative + data alignment. So this one was a scout trade, meant to test signal strength before scaling in. ↛. Why it took the trade: » Volume spike of 16K+ flagged as institutional-style accumulation. » Liquidity depth improving faster than price (a known smart money trait). » Narrative catalyst: strong advisor rumours and new data source mentions. The model doesn’t “believe”... it calculates edge from behavioural data. ↛. The result: Up +154% since signal. No emotion. No FOMO. Just execution based on probability and liquidity strength. This is how AI traders will outperform retail... by scaling conviction instead of guessing conviction.