ML-derived directional probability from 5-model ensemble — XGBoost, LightGBM, LSTM neural network, Adaptive Random Forest, and MetaLearner. Returns directional probability, confidence, and per-model agreement for BTC, ETH, SOL, TAO, KAS, XLM, QUBIC. Quantitative research data for AI agents and analytics — informational purposes only, not investment advice.
| Network | Scheme | Amount | Pay To |
|---|---|---|---|
| Base | exact | $0.05 USDC | 0xf8b2...F2Ee |
| Polygon | exact | $0.05 USDC | 0xf8b2...F2Ee |
| Arbitrum One | exact | $0.05 USDC | 0xf8b2...F2Ee |
| solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp | exact | 0.05 tokens | GgS891...pCiD |
| algorand:wGHE2Pwdvd7S12BL5FaOP20EGYesN73ktiC1qzkkit8= | exact | 0.05 tokens | 5GRGZV...GJGI |
| stellar:pubnet | exact | 0.50 tokens | GDYFWC...O2VP |