Buy 52: rework.

Author: iterativv

NostalgiaForInfinityX.py

@@ -107,7 +107,7 @@ class NostalgiaForInfinityX(IStrategy):
     INTERFACE_VERSION = 2
 
     def version(self) -> str:
-        return "v10.8.157"
+        return "v10.8.158"
 
     # ROI table:
     minimal_roi = {
@@ -1428,11 +1428,11 @@ def version(self) -> str:
             "safe_pump_12h_threshold"   : None,
             "safe_pump_24h_threshold"   : None,
             "safe_pump_36h_threshold"   : None,
-            "safe_pump_48h_threshold"   : 1.4,
+            "safe_pump_48h_threshold"   : 1.1,
             "btc_1h_not_downtrend"      : False,
             "close_over_pivot_type"     : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
             "close_over_pivot_offset"   : 1.0,
-            "close_under_pivot_type"    : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
+            "close_under_pivot_type"    : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3
             "close_under_pivot_offset"  : 1.0
         },
         43: {
@@ -9093,15 +9093,16 @@ def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
                 # Condition #42 - 15m. Semi swing. Local dip. 15m uptrend.
                 elif index == 42:
                     # Non-Standard protections
+                    item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.92))
 
                     # Logic
-                    item_buy_logic.append(dataframe['ewo_15m'] > 5.4)
+                    item_buy_logic.append(dataframe['ewo_15m'] > 7.8)
                     item_buy_logic.append(dataframe['rsi_14_15m'] < 36.0)
                     item_buy_logic.append(dataframe['cti_15m'] < -0.9)
-                    item_buy_logic.append(dataframe['cci_15m'] < -175.0)
-                    item_buy_logic.append(dataframe['r_14_15m'] < -97.0)
-                    item_buy_logic.append(dataframe['r_14'] < -94.0)
-                    item_buy_logic.append(dataframe['cti_1h'] < 0.8)
+                    item_buy_logic.append(dataframe['r_14_15m'] < -90.0)
+                    item_buy_logic.append(dataframe['r_14'] < -96.0)
+                    item_buy_logic.append(dataframe['mfi'] > 24.0)
+                    item_buy_logic.append(dataframe['crsi_1h'] > 14.0)
 
                 # Condition #43 - 15m. Semi swing. Local dip. 1h uptrend.
                 elif index == 43: