Buy 59: Semi swing. Local dip.

Author: iterativv

NostalgiaForInfinityX.py

@@ -239,6 +239,7 @@ class NostalgiaForInfinityX(IStrategy):
         "buy_condition_56_enable": True,
         "buy_condition_57_enable": True,
         "buy_condition_58_enable": True,
+        "buy_condition_59_enable": True,
         #############
     }
 
@@ -1874,6 +1875,34 @@ 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
+         },
+        59: {
+            "ema_fast"                  : False,
+            "ema_fast_len"              : "50",
+            "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"          : False,
+            "sma200_1h_rising_val"      : "50",
+            "safe_dips_threshold_0"     : 0.032,
+            "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"   : None,
+            "safe_pump_48h_threshold"   : 1.0,
+            "btc_1h_not_downtrend"      : False,
+            "close_over_pivot_type"     : "sup3", # pivot, sup1, sup2, sup3, res1, res2, res3
+            "close_over_pivot_offset"   : 0.75,
+            "close_under_pivot_type"    : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
+            "close_under_pivot_offset"  : 1.0
          }
     }
 
@@ -6720,6 +6749,8 @@ def normal_tf_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFram
         dataframe['vma_10'] = ta.SMA(dataframe['volume'], timeperiod=10)
         dataframe['vma_20'] = ta.SMA(dataframe['volume'], timeperiod=20)
         dataframe['vol_osc'] = (dataframe['vma_10'] - dataframe['vma_20']) / dataframe['vma_20'] * 100
+        dataframe['volume_mean_12'] = dataframe['volume'].rolling(12).mean().shift(1)
+        dataframe['volume_mean_24'] = dataframe['volume'].rolling(24).mean().shift(1)
 
         # Dip protection
         dataframe['tpct_change_0']   = self.top_percent_change(dataframe,0)
@@ -7643,6 +7674,18 @@ def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
                     item_buy_logic.append(dataframe['close_delta'] > dataframe['close'] * 10.0 / 1000.0 )
                     item_buy_logic.append(dataframe['close'] < (dataframe['bb20_3_low'] * 0.996))
 
+                # Condition #59 - Semi swing. Local dip.
+                elif index == 59:
+                    # Non-Standard protections
+
+                    # Logic
+                    item_buy_logic.append(dataframe['ema_100'] < (dataframe['ema_200'] * 1.054))
+                    item_buy_logic.append(dataframe['bb20_width'] > 0.34)
+                    item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_mid'] * 1.014))
+                    item_buy_logic.append(dataframe['volume_mean_12'] > (dataframe['volume_mean_24'] * 1.6))
+                    item_buy_logic.append(dataframe['cti'] < -0.115)
+                    item_buy_logic.append(dataframe['r_14'] < -45.0)
+
                 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} "