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BNB-NOVADAX-TRADE – AI Model by Alisson990 | AlphaNeural AI

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Alisson990/
BNB-NOVADAX-TRADE

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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