first commit

2025-03-06 11:01:43 +01:00
commit 7c239227d8
558 changed files with 108235 additions and 0 deletions
--- a/mabStra.py
+++ b/mabStra.py
@@ -0,0 +1,97 @@
+# Author: @Mablue (Masoud Azizi)
+# github: https://github.com/mablue/
+# IMPORTANT: DO NOT USE IT WITHOUT HYPEROPT:
+# freqtrade hyperopt --hyperopt-loss SharpeHyperOptLoss --spaces all --strategy mabStra --config config.json -e 100
+
+# --- Do not remove these libs ---
+from freqtrade.strategy.parameters import  IntParameter, DecimalParameter
+from freqtrade.strategy.interface import IStrategy
+from pandas import DataFrame
+# --------------------------------
+
+# Add your lib to import here
+import talib.abstract as ta
+
+
+class mabStra(IStrategy):
+
+    # #################### RESULTS PASTE PLACE ####################
+    # ROI table:
+    minimal_roi = {
+        "0": 0.598,
+        "644": 0.166,
+        "3269": 0.115,
+        "7289": 0
+    }
+
+    # Stoploss:
+    stoploss = -0.128
+    # Buy hypers
+    timeframe = '4h'
+
+    # #################### END OF RESULT PLACE ####################
+
+    # buy params
+    buy_mojo_ma_timeframe = IntParameter(2, 100, default=7, space='buy')
+    buy_fast_ma_timeframe = IntParameter(2, 100, default=14, space='buy')
+    buy_slow_ma_timeframe = IntParameter(2, 100, default=28, space='buy')
+    buy_div_max = DecimalParameter(
+        0, 2, decimals=4, default=2.25446, space='buy')
+    buy_div_min = DecimalParameter(
+        0, 2, decimals=4, default=0.29497, space='buy')
+    # sell params
+    sell_mojo_ma_timeframe = IntParameter(2, 100, default=7, space='sell')
+    sell_fast_ma_timeframe = IntParameter(2, 100, default=14, space='sell')
+    sell_slow_ma_timeframe = IntParameter(2, 100, default=28, space='sell')
+    sell_div_max = DecimalParameter(
+        0, 2, decimals=4, default=1.54593, space='sell')
+    sell_div_min = DecimalParameter(
+        0, 2, decimals=4, default=2.81436, space='sell')
+
+    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+        # SMA - ex Moving Average
+        dataframe['buy-mojoMA'] = ta.SMA(dataframe,
+                                         timeperiod=self.buy_mojo_ma_timeframe.value)
+        dataframe['buy-fastMA'] = ta.SMA(dataframe,
+                                         timeperiod=self.buy_fast_ma_timeframe.value)
+        dataframe['buy-slowMA'] = ta.SMA(dataframe,
+                                         timeperiod=self.buy_slow_ma_timeframe.value)
+        dataframe['sell-mojoMA'] = ta.SMA(dataframe,
+                                          timeperiod=self.sell_mojo_ma_timeframe.value)
+        dataframe['sell-fastMA'] = ta.SMA(dataframe,
+                                          timeperiod=self.sell_fast_ma_timeframe.value)
+        dataframe['sell-slowMA'] = ta.SMA(dataframe,
+                                          timeperiod=self.sell_slow_ma_timeframe.value)
+        return dataframe
+
+    def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+
+        dataframe.loc[
+            (
+                (dataframe['buy-mojoMA'].div(dataframe['buy-fastMA'])
+                    > self.buy_div_min.value) &
+                (dataframe['buy-mojoMA'].div(dataframe['buy-fastMA'])
+                    < self.buy_div_max.value) &
+                (dataframe['buy-fastMA'].div(dataframe['buy-slowMA'])
+                    > self.buy_div_min.value) &
+                (dataframe['buy-fastMA'].div(dataframe['buy-slowMA'])
+                    < self.buy_div_max.value)
+            ),
+            'buy'] = 1
+
+        return dataframe
+
+    def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+        dataframe.loc[
+            (
+                (dataframe['sell-fastMA'].div(dataframe['sell-mojoMA'])
+                    > self.sell_div_min.value) &
+                (dataframe['sell-fastMA'].div(dataframe['sell-mojoMA'])
+                    < self.sell_div_max.value) &
+                (dataframe['sell-slowMA'].div(dataframe['sell-fastMA'])
+                    > self.sell_div_min.value) &
+                (dataframe['sell-slowMA'].div(dataframe['sell-fastMA'])
+                    < self.sell_div_max.value)
+            ),
+            'sell'] = 1
+        return dataframe