diff --git a/user_data/strategies/Swing-High-To-Sky.py b/user_data/strategies/Swing-High-To-Sky.py
new file mode 100644
index 0000000..0d7ab06
--- /dev/null
+++ b/user_data/strategies/Swing-High-To-Sky.py
@@ -0,0 +1,71 @@
+# --- Do not remove these libs ---
+from freqtrade.strategy.interface import IStrategy
+from typing import Dict, List
+from functools import reduce
+from pandas import DataFrame
+# --------------------------------
+
+import talib.abstract as ta
+import freqtrade.vendor.qtpylib.indicators as qtpylib
+import numpy # noqa
+
+__author__      = "Kevin Ossenbrück"
+__copyright__   = "Free For Use"
+__credits__     = ["Bloom Trading, Mohsen Hassan"]
+__license__     = "MIT"
+__version__     = "1.0"
+__maintainer__  = "Kevin Ossenbrück"
+__email__       = "kevin.ossenbrueck@pm.de"
+__status__      = "Live"
+
+class_name = 'SwingHighToSky'
+class SwingHighToSky(IStrategy):
+
+    # Disable ROI
+    minimal_roi = {
+         "0":  100
+    }
+
+    stoploss = -0.30
+    trailing_stop = True
+    trailing_stop_positive = 0.08
+    trailing_stop_positive_offset = 0.10
+    trailing_only_offset_is_reached = True
+
+    ticker_interval = '30m'
+
+    def informative_pairs(self):
+        return []
+
+    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+        
+        macd = ta.MACD(dataframe)
+        dataframe['macd'] = macd['macd']
+        dataframe['macdsignal'] = macd['macdsignal']
+        dataframe['macdhist'] = macd['macdhist']
+        
+        dataframe['cci'] = ta.CCI(dataframe)
+
+        return dataframe
+
+    def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+        
+        dataframe.loc[
+            (
+                (dataframe['macd'] > dataframe['macdsignal']) &
+                (dataframe['cci'] <= -100.0)
+            ),
+            'buy'] = 1
+
+        return dataframe
+
+    def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+        
+        dataframe.loc[
+            ( 
+                (dataframe['macd'] < dataframe['macdsignal']) & 
+                (dataframe['cci'] >= 200.0)
+            ),
+            'sell'] = 1
+            
+        return dataframe
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