Export ensemble models for BTC-USD (1d)

balanced_lookback90/README.md

@@ -5,12 +5,35 @@ tags:
 - temporal
 - trading
 - btc-usd
+- ensemble
 library_name: temporal-forecasting
 ---
 
-# Temporal Trading Model: BTC-USD (balanced)
+# Temporal Trading Model: BTC-USD (Ensemble Member 3/5: balanced (lookback=90))
+
+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 3 of 5** in a consensus ensemble for BTC-USD (1d).
+
+The ensemble uses 5 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)
+2. [balanced (lookback=60)](../balanced_lookback60)
+3. **balanced** (lookback=90) - *This model*
+4. [mean_reversion (lookback=60)](../mean_reversion_lookback60)
+5. [momentum (lookback=45)](../momentum_lookback45)
+
+### 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
 
-This is a pre-trained Temporal transformer model for time series forecasting of BTC-USD.
 
 ## Model Details