Buy 2: rework.

Author: iterativv

NostalgiaForInfinityX.py

@@ -276,7 +276,7 @@ class NostalgiaForInfinityX(IStrategy):
             "close_under_pivot_offset"  : 1.0
         },
         2: {
-            "ema_fast"                  : True,
+            "ema_fast"                  : False,
             "ema_fast_len"              : "50",
             "ema_slow"                  : True,
             "ema_slow_len"              : "20",
@@ -292,7 +292,7 @@ class NostalgiaForInfinityX(IStrategy):
             "safe_dips_threshold_2"     : 0.06,
             "safe_dips_threshold_12"    : 0.3,
             "safe_dips_threshold_144"   : None,
-            "safe_pump_6h_threshold"    : 0.4,
+            "safe_pump_6h_threshold"    : 0.5,
             "safe_pump_12h_threshold"   : None,
             "safe_pump_24h_threshold"   : None,
             "safe_pump_36h_threshold"   : None,
@@ -301,7 +301,7 @@ class NostalgiaForInfinityX(IStrategy):
             "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_offset"  : 1.4
+            "close_under_pivot_offset"  : 1.0
         },
         3: {
             "ema_fast"                  : False,
@@ -6647,13 +6647,12 @@ def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
                     # Non-Standard protections
 
                     # Logic
-                    item_buy_logic.append(dataframe['rsi_14'] < (dataframe['rsi_14_1h'] - 47.5))
+                    item_buy_logic.append(dataframe['rsi_14'] < (dataframe['rsi_14_1h'] - 47.0))
                     item_buy_logic.append(dataframe['mfi'] < 46.0)
                     item_buy_logic.append(dataframe['cti'] < -0.8)
-                    item_buy_logic.append(dataframe['r_14'] < -99.0)
+                    item_buy_logic.append(dataframe['r_14'] < -98.0)
                     item_buy_logic.append(dataframe['r_480'] > -95.0)
-                    item_buy_logic.append(dataframe['r_480'] < -20.0)
-                    item_buy_logic.append(dataframe['cti_1h'] < 0.88)
+                    item_buy_logic.append(dataframe['cti_1h'] < 0.82)
 
                 # Condition #3 - Semi swing. Local dip.
                 elif index == 3: