Buy 15: rework.

Author: iterativv

NostalgiaForInfinityX.py

@@ -647,16 +647,16 @@ class NostalgiaForInfinityX(IStrategy):
         15: {
             "ema_fast"                  : False,
             "ema_fast_len"              : "100",
-            "ema_slow"                  : True,
+            "ema_slow"                  : False,
             "ema_slow_len"              : "12",
             "close_above_ema_fast"      : False,
             "close_above_ema_fast_len"  : "200",
             "close_above_ema_slow"      : False,
             "close_above_ema_slow_len"  : "200",
             "sma200_rising"             : True,
             "sma200_rising_val"         : "24",
-            "sma200_1h_rising"          : False,
-            "sma200_1h_rising_val"      : "72",
+            "sma200_1h_rising"          : True,
+            "sma200_1h_rising_val"      : "48",
             "safe_dips_threshold_0"     : 0.032,
             "safe_dips_threshold_2"     : 0.09,
             "safe_dips_threshold_12"    : 0.48,
@@ -7473,10 +7473,10 @@ def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
                     # Non-Standard protections
 
                     # Logic
-                    item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.986))
+                    item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.99))
                     item_buy_logic.append(dataframe['ewo'] > 2.0)
                     item_buy_logic.append(dataframe['rsi_14'] < 28.5)
-                    item_buy_logic.append(dataframe['cti'] < -0.75)
+                    item_buy_logic.append(dataframe['cti'] < -0.8)
                     item_buy_logic.append(dataframe['rsi_14_1h'] < 80.0)
                     item_buy_logic.append(dataframe['cti_1h'] < 0.4)