[pull] develop from freqtrade:develop

freqtrade/data/metrics.py

@@ -300,7 +300,11 @@ def calculate_cagr(days_passed: int, starting_balance: float, final_balance: flo
     if (final_balance < 0) or (starting_balance <= 0) or (days_passed <= 0):
         # With leveraged trades, final_balance can become negative.
         return 0
-    return (final_balance / starting_balance) ** (1 / (days_passed / 365)) - 1
+    try:
+        return (final_balance / starting_balance) ** (1 / (days_passed / 365)) - 1
+    except OverflowError:
+        # Extrapolating a large gain over a very short timeframe can exceed float range.
+        return 0
 
 
 def calculate_expectancy(trades: pd.DataFrame) -> tuple[float, float]:

tests/data/test_metrics.py

@@ -504,6 +504,8 @@ def test_calculate_p_value_zero_mean():
         (0.01000000, 0.01762792, 120, 4.6087),  # sub year BTC values
         (1000, 1010, 0, 0.0),  # zero days
         (-100, 100, 365, 0.0),  # negative starting balance
+        (1.49, 11.2, 1, 0.0),  # Overflow - huge gain over a single day
+        (1.0, 6.99, 1, 1.7146249823477656e308),  # just below the overflow threshold
     ],
 )
 def test_calculate_cagr(start, end, days, expected):