Export ensemble models for BTC-USD (1h)

balanced_lookback60_6h/README.md

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+---
+tags:
+- time-series
+- forecasting
+- temporal
+- trading
+- btc-usd
+- ensemble
+library_name: temporal-forecasting
+---
+
+# Temporal Trading Model: BTC-USD (Ensemble Member 5/7: balanced (lookback=60))
+
+This is a pre-trained Temporal transformer model for time series forecasting of BTC-USD. This model is part of a consensus ensemble.
+
+## Ensemble Context
+
+This model is **member 5 of 7** in a consensus ensemble for BTC-USD (1h).
+
+The ensemble uses 7 models with different lookback periods and focus strategies to generate diverse forecasts. These forecasts are then aggregated using multiple consensus strategies (gradient, confidence, timeframe, volatility, mean reversion, acceleration, swing, risk-adjusted) to produce robust trading signals.
+
+### All Ensemble Members
+
+1. [momentum (lookback=30)](../momentum_lookback30_12h)
+2. [momentum (lookback=30)](../momentum_lookback30_6h)
+3. [balanced (lookback=45)](../balanced_lookback45_12h)
+4. [balanced (lookback=60)](../balanced_lookback60_24h)
+5. **balanced** (lookback=60) - *This model*
+6. [balanced (lookback=60)](../balanced_lookback60_12h)
+7. [mean_reversion (lookback=45)](../mean_reversion_lookback45_12h)
+
+### How the Ensemble Works
+
+1. Each member model generates independent forecasts using its specific lookback window and focus
+2. Multiple consensus strategies analyze the ensemble's forecasts from different perspectives
+3. Each strategy produces action recommendations (BUY/SELL/HOLD) with confidence scores
+4. Final consensus aggregates all strategy recommendations into a unified trading signal
+
+
+## Model Details
+
+- **Symbol**: BTC-USD
+- **Interval**: 1h
+- **Lookback Window**: 60 periods
+- **Forecast Horizon**: 6 periods
+- **Focus**: balanced
+- **Training Date**: 2025-11-10 08:02 UTC
+- **Training Epochs**: 10
+- **Best Validation Loss**: 0.20215057868223923
+
+## Training Dataset
+
+- **Date Range**: 2020-11-12T00:49:00 to 2025-11-10
+- **Training Samples**: 1837645
+- **Lookback Period**: 60 1h intervals
+
+## 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="1h",
+    lookback=60,
+    focus="balanced",
+    forecast_horizon=6
+)
+```
+
+## 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_6h/config.json

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+{
+  "cache_key": "BTC-USD_1h_balanced_efd785a6dc29",
+  "symbol": "BTC-USD",
+  "interval": "1h",
+  "lookback": 60,
+  "focus": "balanced",
+  "forecast_horizon": 6,
+  "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": "2025-11-10T08:02:37.669175",
+  "data_end_timestamp": "2025-11-10T05:00:00",
+  "training_epochs": 10,
+  "best_val_loss": 0.20215057868223923,
+  "model_architecture": {
+    "d_model": 512,
+    "num_encoder_layers": null,
+    "num_decoder_layers": null
+  },
+  "data_start_timestamp": "2020-11-12T00:49:00",
+  "training_samples": 1837645
+}

balanced_lookback60_6h/pytorch_model.bin

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balanced_lookback60_6h/scaler.pkl

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