Buy 47: 15m. Semi swing. Local dip. 1h minor dip.

Author: iterativv

NostalgiaForInfinityX.py

@@ -227,6 +227,7 @@ class NostalgiaForInfinityX(IStrategy):
         "buy_condition_44_enable": True,
         "buy_condition_45_enable": True,
         "buy_condition_46_enable": True,
+        "buy_condition_47_enable": True,
         #############
     }
 
@@ -1526,6 +1527,34 @@ class NostalgiaForInfinityX(IStrategy):
             "close_over_pivot_offset"   : 1.0,
             "close_under_pivot_type"    : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
             "close_under_pivot_offset"  : 1.0
+        },
+        47: {
+            "ema_fast"                  : False,
+            "ema_fast_len"              : "12",
+            "ema_slow"                  : False,
+            "ema_slow_len"              : "50",
+            "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"         : "42",
+            "sma200_1h_rising"          : True,
+            "sma200_1h_rising_val"      : "50",
+            "safe_dips_threshold_0"     : 0.03,
+            "safe_dips_threshold_2"     : 0.09,
+            "safe_dips_threshold_12"    : None,
+            "safe_dips_threshold_144"   : None,
+            "safe_pump_6h_threshold"    : 0.5,
+            "safe_pump_12h_threshold"   : None,
+            "safe_pump_24h_threshold"   : None,
+            "safe_pump_36h_threshold"   : 0.9,
+            "safe_pump_48h_threshold"   : 1.4,
+            "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
         }
     }
 
@@ -4325,6 +4354,7 @@ def informative_15m_indicators(self, dataframe: DataFrame, metadata: dict) -> Da
         informative_15m['ema_200'] = ta.EMA(informative_15m, timeperiod=200)
 
         # SMA
+        informative_15m['sma_15'] = ta.SMA(informative_15m, timeperiod=15)
         informative_15m['sma_200'] = ta.SMA(informative_15m, timeperiod=200)
 
         informative_15m['sma_200_dec_20'] = informative_15m['sma_200'] < informative_15m['sma_200'].shift(20)
@@ -5225,6 +5255,23 @@ def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
                     item_buy_logic.append(dataframe['r_14'] < -75.0)
                     item_buy_logic.append(dataframe['crsi_1h'] > 14.0)
 
+                # Condition #47 - 15m. Semi swing. Local dip. 1h minor dip.
+                elif index == 47:
+                    # Non-Standard protections
+
+                    # Logic
+                    item_buy_logic.append(dataframe['rsi_14_15m'] < dataframe['rsi_14_15m'].shift(3))
+                    item_buy_logic.append(dataframe['ema_20_1h'] > dataframe['ema_25_1h'])
+                    item_buy_logic.append(dataframe['close_15m'] < (dataframe['sma_15_15m'] * 0.95))
+                    item_buy_logic.append(
+                        ((dataframe['open_15m'] < dataframe['ema_20_1h']) & (dataframe['low_15m'] < dataframe['ema_20_1h'])) |
+                        ((dataframe['open_15m'] > dataframe['ema_20_1h']) & (dataframe['low_15m'] > dataframe['ema_20_1h'])))
+                    item_buy_logic.append(dataframe['cti_15m'] < -0.9)
+                    item_buy_logic.append(dataframe['r_14_15m'] < -90.0)
+                    item_buy_logic.append(dataframe['r_14'] < -97.0)
+                    item_buy_logic.append(dataframe['cti_1h'] < 0.1)
+                    item_buy_logic.append(dataframe['crsi_1h'] > 8.0)
+
                 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} "