# BNB-NOVADAX-TRADE — Phase 1 Supervised Pre-training

## Resultados
- **Steps**: 204,000
- **Épocas**: 2
- **Tempo de treino**: 11.00h
- **Val Loss**: 2.4436
- **Acc 30s**: 0.178
- **Acc 60s**: 0.246
- **Acc 120s**: 0.317

## Arquitetura
- Transformer Encoder | d_model=256 | 8 heads | 6 layers | FFN=1024
- ~10.7M parâmetros
- Contexto: 120 segundos
- Features: 12 features por timestep
- Multi-task: direção 30s/60s/120s + spread futuro + NDX follow

## Dataset
- Binance BTCUSDT 1s + NovaDax BTC_USDT | 2020-2026
- Split: 2020-2023 treino | 2024 val | 2025-2026 test (blind)

## Como usar (Phase 2 — RL Fine-tuning)
```python
ckpt = torch.load('checkpoint_best.pt', map_location='cpu')
model = TradingTransformer(ckpt['cfg'])
model.load_state_dict(ckpt['model_state'])
emb = model.get_embedding(x)  # usar como encoder no PPO
```