Buy 11: rework.

Author: iterativv

NostalgiaForInfinityX.py

@@ -537,18 +537,18 @@ class NostalgiaForInfinityX(IStrategy):
             "sma200_rising_val"         : "30",
             "sma200_1h_rising"          : False,
             "sma200_1h_rising_val"      : "50",
-            "safe_dips_threshold_0"     : 0.028,
+            "safe_dips_threshold_0"     : 0.032,
             "safe_dips_threshold_2"     : 0.09,
             "safe_dips_threshold_12"    : 0.48,
             "safe_dips_threshold_144"   : 0.9,
-            "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"   : 0.9,
+            "safe_pump_36h_threshold"   : 0.88,
             "safe_pump_48h_threshold"   : None,
             "btc_1h_not_downtrend"      : False,
-            "close_over_pivot_type"     : "sup2", # pivot, sup1, sup2, sup3, res1, res2, res3
-            "close_over_pivot_offset"   : 1.0,
+            "close_over_pivot_type"     : "sup3", # pivot, sup1, sup2, sup3, res1, res2, res3
+            "close_over_pivot_offset"   : 1.06,
             "close_under_pivot_type"    : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
             "close_under_pivot_offset"  : 1.0
         },
@@ -5656,11 +5656,10 @@ def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
 
                     # Logic
                     item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12'])
-                    item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.024))
+                    item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.027))
                     item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100))
-                    item_buy_logic.append(dataframe['close'] < dataframe['ema_20'] * 0.935)
-                    item_buy_logic.append(dataframe['rsi_14'] < 20.0) # 28.0 20.0
-                    item_buy_logic.append(dataframe['crsi_1h'] > 14.0)
+                    item_buy_logic.append(dataframe['close'] < dataframe['ema_20'] * 0.932)
+                    item_buy_logic.append(dataframe['rsi_14'] < 25.0)
 
                 # Condition #12 - Semi swing. Local deeper dip. Uptrend.
                 elif index == 12: