Improve CI coverage.

model.py

@@ -279,6 +279,17 @@ class MarketFundamentals:
         # Ensure reasonable bounds
         return np.clip(adjustment, 0.65, 0.75)
 
+    def calculate_confidence_adjustment(self, metrics, level):
+        """Calculate how much to adjust confidence intervals based on market conditions."""
+        depth_impact = np.clip(metrics["market_depth"] * 0.2, 0, 0.2)
+        vol_impact = np.clip(metrics["volume_to_supply"] * 30, 0, 0.2)
+        total_adjustment = (depth_impact + vol_impact) * 0.5
+
+        if level >= 0.95:
+            total_adjustment *= 0.5
+
+        return level + (1 - level) * total_adjustment
+
 
 def compare_adjustments(df, fundamentals):
     """
@@ -756,10 +767,9 @@ def project_prices(
     for level in confidence_levels:
         # Get market metrics for confidence interval adjustment
         metrics = fundamentals.get_market_maturity_metrics(df, current_date)
-        maturity_adjustment = np.clip(metrics["market_depth"], 0, 0.5)
 
         # Calculate adjusted confidence level
-        effective_level = level + (1 - level) * maturity_adjustment
+        effective_level = fundamentals.calculate_confidence_adjustment(metrics, level)
 
         lower_percentile = (1 - effective_level) * 100 / 2
         upper_percentile = 100 - lower_percentile