Buy condition 9: semi swing, local dip, uptrend, 1h uptrend.

Author: iterativv

NostalgiaForInfinityNextGen.py

@@ -188,6 +188,7 @@ class NostalgiaForInfinityNextGen(IStrategy):
         "buy_condition_6_enable": True,
         "buy_condition_7_enable": True,
         "buy_condition_8_enable": True,
+        "buy_condition_9_enable": True,
         #############
     }
 
@@ -423,6 +424,34 @@ class NostalgiaForInfinityNextGen(IStrategy):
             "close_over_pivot_offset"   : 1.0,
             "close_under_pivot_type"    : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
             "close_under_pivot_offset"  : 1.15
+        },
+        9: {
+            "ema_fast"                  : False,
+            "ema_fast_len"              : "50",
+            "ema_slow"                  : True,
+            "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"             : False,
+            "sma200_rising_val"         : "24",
+            "sma200_1h_rising"          : False,
+            "sma200_1h_rising_val"      : "50",
+            "safe_dips_threshold_0"     : 0.04,
+            "safe_dips_threshold_2"     : 0.1,
+            "safe_dips_threshold_12"    : 0.26,
+            "safe_dips_threshold_144"   : 0.38,
+            "safe_pump_6h_threshold"    : None,
+            "safe_pump_12h_threshold"   : None,
+            "safe_pump_24h_threshold"   : None,
+            "safe_pump_36h_threshold"   : None,
+            "safe_pump_48h_threshold"   : 0.9,
+            "btc_1h_not_downtrend"      : False,
+            "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"  : 1.0
         }
     }
 
@@ -2071,6 +2100,20 @@ def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
                     item_buy_logic.append(dataframe['r_14'] < -90.0)
                     item_buy_logic.append(dataframe['cti_1h'] < -0.25)
 
+                # Condition #9 - Semi swing. Local deep. Uptrend, 1h uptrend.
+                elif index == 9:
+                    # Non-Standard protections
+
+                    # Logic
+                    item_buy_logic.append(dataframe['ema_20_1h'] > dataframe['ema_25_1h'])
+                    item_buy_logic.append(dataframe['close'].shift(1) < (dataframe['sma_15'].shift(1) * 0.97))
+                    item_buy_logic.append(dataframe['close'] > (dataframe['open'].shift(1)))
+                    item_buy_logic.append(dataframe['ewo'] > 4.4)
+                    item_buy_logic.append(dataframe['cti'] < -0.75)
+                    item_buy_logic.append(dataframe['r_14'].shift(1) < -94.0)
+                    item_buy_logic.append(dataframe['ewo_1h'] > 2.0)
+                    item_buy_logic.append(dataframe['cti_1h'] < -0.75)
+
                 item_buy_logic.append(dataframe['volume'] > 0)
                 item_buy = reduce(lambda x, y: x & y, item_buy_logic)
                 dataframe.loc[item_buy, 'buy_tag'] += f"{index} "