fine printing for floats in the roi tables (round to 5 digits after the decimal point)

freqtrade/misc.py

@@ -113,3 +113,10 @@ def deep_merge_dicts(source, destination):
             destination[key] = value
 
     return destination
+
+
+def round_dict(d, n):
+    """
+    Rounds float values in the dict to n digits after the decimal point.
+    """
+    return {k: (round(v, n) if isinstance(v, float) else v) for k, v in d.items()}

freqtrade/optimize/hyperopt.py

@@ -22,6 +22,7 @@ from skopt.space import Dimension
 
 from freqtrade.configuration import Arguments
 from freqtrade.data.history import load_data, get_timeframe
+from freqtrade.misc import round_dict
 from freqtrade.optimize.backtesting import Backtesting
 # Import IHyperOpt and IHyperOptLoss to allow unpickling classes from these modules
 from freqtrade.optimize.hyperopt_interface import IHyperOpt  # noqa: F4
@@ -147,7 +148,8 @@ class Hyperopt(Backtesting):
                    indent=4)
         if self.has_space('roi'):
             print("ROI table:")
-            pprint(self.custom_hyperopt.generate_roi_table(params), indent=4)
+            # Round printed values to 5 digits after the decimal point
+            pprint(round_dict(self.custom_hyperopt.generate_roi_table(params), 5), indent=4)
         if self.has_space('stoploss'):
             print(f"Stoploss: {params.get('stoploss')}")
 

freqtrade/optimize/hyperopt_interface.py

@@ -12,6 +12,7 @@ from pandas import DataFrame
 from skopt.space import Dimension, Integer, Real
 
 from freqtrade.exchange import timeframe_to_minutes
+from freqtrade.misc import round_dict
 
 
 logger = logging.getLogger(__name__)
@@ -128,7 +129,7 @@ class IHyperOpt(ABC):
             'roi_p3_min': 0.01 * roi_p_scale * roi_p_alpha,
             'roi_p3_max': 0.20 * roi_p_scale * roi_p_alpha,
         }
-        logger.debug(f"Using roi space limits: {roi_limits}")
+        logger.debug(f"Using roi space limits: {round_dict(roi_limits, 5)}")
         p = {
             'roi_t1': roi_limits['roi_t1_min'],
             'roi_t2': roi_limits['roi_t2_min'],
@@ -137,7 +138,7 @@ class IHyperOpt(ABC):
             'roi_p2': roi_limits['roi_p2_min'],
             'roi_p3': roi_limits['roi_p3_min'],
         }
-        logger.info(f"Min roi table: {IHyperOpt.generate_roi_table(p)}")
+        logger.info(f"Min roi table: {round_dict(IHyperOpt.generate_roi_table(p), 5)}")
         p = {
             'roi_t1': roi_limits['roi_t1_max'],
             'roi_t2': roi_limits['roi_t2_max'],
@@ -146,7 +147,7 @@ class IHyperOpt(ABC):
             'roi_p2': roi_limits['roi_p2_max'],
             'roi_p3': roi_limits['roi_p3_max'],
         }
-        logger.info(f"Max roi table: {IHyperOpt.generate_roi_table(p)}")
+        logger.info(f"Max roi table: {round_dict(IHyperOpt.generate_roi_table(p), 5)}")
 
         return [
             Integer(roi_limits['roi_t1_min'], roi_limits['roi_t1_max'], name='roi_t1'),