From 8158e199b0c05fd75534e5e0e93d15179a954e2c Mon Sep 17 00:00:00 2001
From: Claudio Maradonna <penguyman@stronzi.org>
Date: Thu, 29 Jul 2021 16:40:54 +0200
Subject: [PATCH] update name

---
 USDT/ADA-ETH-DOT.py | 76 +++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 76 insertions(+)
 create mode 100644 USDT/ADA-ETH-DOT.py

diff --git a/USDT/ADA-ETH-DOT.py b/USDT/ADA-ETH-DOT.py
new file mode 100644
index 0000000..66a3388
--- /dev/null
+++ b/USDT/ADA-ETH-DOT.py
@@ -0,0 +1,76 @@
+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
+
+__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"
+
+# CCI timerperiods and values
+cciBuyTP = 47
+cciBuyVal = -39
+cciSellTP = 42
+cciSellVal = 135
+
+# RSI timeperiods and values
+rsiBuyTP = 24
+rsiBuyVal = 30
+rsiSellTP = 15
+rsiSellVal = 69
+    
+class ADAETHDOT(IStrategy):
+    timeframe = '15m'
+    
+    stoploss = -0.291
+    
+    minimal_roi = {
+        "0": 0.238,
+        "115": 0.131,
+        "272": 0.048,
+        "613": 0
+    }
+    
+    def informative_pairs(self):
+        return []
+
+    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+    
+        dataframe['cci-'+str(cciBuyTP)] = ta.CCI(dataframe, timeperiod=cciBuyTP)
+        dataframe['cci-'+str(cciSellTP)] = ta.CCI(dataframe, timeperiod=cciSellTP)     
+
+        dataframe['rsi-'+str(rsiBuyTP)] = ta.RSI(dataframe, timeperiod=rsiBuyTP)
+        dataframe['rsi-'+str(rsiSellTP)] = ta.RSI(dataframe, timeperiod=rsiSellTP)
+        
+        return dataframe
+
+    def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+        
+        dataframe.loc[
+            (
+                (dataframe['cci-'+str(cciBuyTP)] < cciBuyVal) &
+                (dataframe['rsi-'+str(rsiBuyTP)] < rsiBuyVal)
+            ),
+            'buy'] = 1
+            
+        return dataframe
+
+    def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+        
+        dataframe.loc[
+            ( 
+                (dataframe['cci-'+str(cciSellTP)] > cciSellVal) & 
+                (dataframe['rsi-'+str(rsiSellTP)] > rsiSellVal)
+            ),
+            'sell'] = 1
+            
+        return dataframe