Buy 4: rework.

Author: iterativv

NostalgiaForInfinityX.py

@@ -107,7 +107,7 @@ class NostalgiaForInfinityX(IStrategy):
     INTERFACE_VERSION = 2
 
     def version(self) -> str:
-        return "v10.8.152"
+        return "v10.8.153"
 
     # ROI table:
     minimal_roi = {
@@ -354,9 +354,9 @@ def version(self) -> str:
             "close_above_ema_slow_len"  : "200",
             "sma200_rising"             : False,
             "sma200_rising_val"         : "28",
-            "sma200_1h_rising"          : False,
+            "sma200_1h_rising"          : True,
             "sma200_1h_rising_val"      : "50",
-            "safe_dips_threshold_0"     : 0.012,
+            "safe_dips_threshold_0"     : 0.032,
             "safe_dips_threshold_2"     : 0.09,
             "safe_dips_threshold_12"    : 0.54,
             "safe_dips_threshold_144"   : 0.9,
@@ -366,10 +366,10 @@ def version(self) -> str:
             "safe_pump_36h_threshold"   : 0.7,
             "safe_pump_48h_threshold"   : None,
             "btc_1h_not_downtrend"      : False,
-            "close_over_pivot_type"     : "sup3", # pivot, sup1, sup2, sup3, res1, res2, res3
-            "close_over_pivot_offset"   : 0.95,
+            "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
         },
         5: {
             "ema_fast"                  : False,
@@ -8613,15 +8613,16 @@ def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
                 # Condition #4 - Semi swing. Local dip.
                 elif index == 4:
                     # Non-Standard protections
+                    item_buy_logic.append(dataframe['close'] > (dataframe['sup_level_1h'] * 0.93))
 
                     # Logic
                     item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12'])
                     item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 0.02))
                     item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100))
                     item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.992))
-                    item_buy_logic.append(dataframe['rsi_14'] > 30.0)
-                    item_buy_logic.append(dataframe['mfi'] > 25.0)
-                    item_buy_logic.append(dataframe['crsi_1h'] > 14.0)
+                    item_buy_logic.append(dataframe['mfi'] > 18.0)
+                    item_buy_logic.append(dataframe['cti_1h'] < 0.82)
+                    item_buy_logic.append(dataframe['crsi_1h'] > 10.0)
 
                 # Condition #5 - Semi swing. Local dip. Uptrend.
                 elif index == 5: