OMEGA Forex v3

Architecture

• Conv1d(k=3) → Conv1d(k=5) → RegimeGate → 3-layer Transformer (pre-norm) → Classifier
• d_model=64, 4 attention heads, FFN=256
• ~184,354 parameters
• Input: seq_len=24 × 46 features → binary UP/DOWN

Features (46)

Pairs

Inference

Not financial advice. Research and educational use only.