X7: signal 1: add protection.

Author: iterativv

NostalgiaForInfinityX7.py

@@ -69,7 +69,7 @@ class NostalgiaForInfinityX7(IStrategy):
   INTERFACE_VERSION = 3
 
   def version(self) -> str:
-    return "v17.3.771"
+    return "v17.3.772"
 
   stoploss = -0.99
 
@@ -12067,6 +12067,10 @@ def populate_entry_trend(self, df: DataFrame, metadata: dict) -> DataFrame:
             & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1d"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0))
             # 15m down move & downtrend, 4h high
             & ((df["RSI_3_15m"] > 10.0) | (df["CMF_20_15m"] > -0.3) | (df["AROONU_14_4h"] < 100.0))
+            # 15m down move, 1h high & overbought
+            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1h"] < 20.0))
+            # 15m down move, 1h high, 1d downtrend
+            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1d"] > -40.0))
             # 15m down move, 1h high, 1d overbought
             & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 100.0) | (df["ROC_9_1d"] < 80.0))
             # 15m down move, 15m & 4h high
@@ -12151,6 +12155,8 @@ def populate_entry_trend(self, df: DataFrame, metadata: dict) -> DataFrame:
             & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1d"] < 100.0))
             # 1h down move, 1h & 4h high
             & ((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 100.0))
+            # 1h down move, 1h high & overbought
+            & ((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1h"] < 20.0))
             # 1h down move, 1h still high, 4h high
             & ((df["RSI_3_1h"] > 60.0) | (df["AROONU_14_1h"] < 50.0) | (df["RSI_14_4h"] < 90.0))
             # 4h & 1d down move, 4h still not low enough
@@ -12181,6 +12187,8 @@ def populate_entry_trend(self, df: DataFrame, metadata: dict) -> DataFrame:
             & ((df["RSI_3_change_pct_1h"] > -75.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_1d"] < 100.0))
             # 15m & 1h & 4h downtrend
             & ((df["CMF_20_15m"] > -0.3) | (df["CMF_20_1h"] > -0.3) | (df["CMF_20_4h"] > -0.3))
+            # 1h high, 1h overbought, 1d downtrend
+            & ((df["AROONU_14_1h"] < 85.0) | (df["ROC_9_1h"] < 20.0) | (df["ROC_9_1d"] > -40.0))
             # 4h & 1d high, 1d overbought
             & ((df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 50.0))
             # 1d high, 4h downtrend, 1d overbought
@@ -12199,6 +12207,8 @@ def populate_entry_trend(self, df: DataFrame, metadata: dict) -> DataFrame:
             )
             # 1h downtrend, 4h high & overbought
             & ((df["ROC_9_1h"] > -25.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 80.0))
+            # 1h & 4h overbought, 1d downtrend
+            & ((df["ROC_9_1h"] < 20.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] > -40.0))
             # 1d P&D, 1d downtrend
             & ((df["change_pct_1d"] > -5.0) | (df["change_pct_1d"].shift(288) < 30.0) | (df["CMF_20_1d"] > -0.0))
             # 1d green with top wick, 1h down move