Export ensemble models for BTC-USD (1d)

balanced_lookback60/README.md

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+---
+tags:
+- time-series
+- forecasting
+- temporal
+- trading
+- btc-usd
+library_name: temporal-forecasting
+---
+
+# Temporal Trading Model: BTC-USD (balanced)
+
+This is a pre-trained Temporal transformer model for time series forecasting of BTC-USD.
+
+## Model Details
+
+- **Symbol**: BTC-USD
+- **Interval**: 1d
+- **Lookback Window**: 60 periods
+- **Forecast Horizon**: 7 periods
+- **Focus**: balanced
+- **Training Date**: 2025-11-09 19:40 UTC
+- **Training Epochs**: 15
+- **Best Validation Loss**: 0.32455316185951233
+
+## Model Architecture
+
+- **Model Type**: Temporal Transformer
+- **d_model**: 512
+- **Encoder Layers**: None
+- **Decoder Layers**: None
+
+## Features
+
+Input features used: 17 features
+
+## Usage
+
+```python
+from strategies.model_cache import get_model_cache
+
+# Import from HuggingFace
+cache = get_model_cache()
+model_path, scaler_path, metadata = cache.import_from_huggingface(
+    repo_id="YOUR_REPO_ID",
+    symbol="BTC-USD",
+    interval="1d",
+    lookback=60,
+    focus="balanced",
+    forecast_horizon=7
+)
+```
+
+## License
+
+GPL-3.0-or-later
+
+## Citation
+
+```
+@software{temporal_trading_model,
+  title = {Temporal Trading Model: BTC-USD (balanced)},
+  author = {Unidatum Integrated Products LLC},
+  year = {2025},
+  url = {https://github.com/OptimalMatch/temporal-trading-agents}
+}
+```

balanced_lookback60/config.json

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+{
+  "cache_key": "BTC-USD_1d_balanced_f230d2efd653",
+  "symbol": "BTC-USD",
+  "interval": "1d",
+  "lookback": 60,
+  "focus": "balanced",
+  "forecast_horizon": 7,
+  "feature_columns": [
+    "Close",
+    "Open",
+    "High",
+    "Low",
+    "Volume",
+    "Returns",
+    "Log_Returns",
+    "MA_7",
+    "MA_21",
+    "MA_50",
+    "Volatility_7",
+    "Volatility_21",
+    "RSI",
+    "Momentum_7",
+    "Momentum_21",
+    "Volume_Ratio",
+    "Price_Range"
+  ],
+  "training_timestamp": "2025-11-09T19:40:14.165092",
+  "data_end_timestamp": "2025-11-08T00:00:00",
+  "training_epochs": 15,
+  "best_val_loss": 0.32455316185951233,
+  "model_architecture": {
+    "d_model": 512,
+    "num_encoder_layers": null,
+    "num_decoder_layers": null
+  }
+}

balanced_lookback60/pytorch_model.bin

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balanced_lookback60/scaler.pkl

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