diff --git a/user_data/strategies/Heracles.py b/user_data/strategies/Heracles.py
index 3eaed3d..1cdb3d4 100644
--- a/user_data/strategies/Heracles.py
+++ b/user_data/strategies/Heracles.py
@@ -9,7 +9,7 @@
 #   },
 # IMPORTANT: INSTALL TA BEFOUR RUN(pip install ta)
 #
-# freqtrade hyperopt --hyperopt-loss SharpeHyperOptLoss --spaces roi buy sell --strategy Heracles
+# freqtrade hyperopt --hyperopt-loss SharpeHyperOptLoss --spaces roi buy --strategy Heracles
 # ######################################################################
 # --- Do not remove these libs ---
 from freqtrade.strategy.hyper import IntParameter, DecimalParameter
@@ -28,48 +28,41 @@ import numpy as np
 
 class Heracles(IStrategy):
     ########################################## RESULT PASTE PLACE ##########################################
-    # 18/100:    111 trades. 77/23/11 Wins/Draws/Losses. Avg profit   3.81%. Median profit   4.40%. Total profit  2114.06222218 USDT (  42.28Σ%). Avg duration 3 days, 3:04:00 min. Objective: -16.78579
+    # 10/100:     25 trades. 18/4/3 Wins/Draws/Losses. Avg profit   5.92%. Median profit   6.33%. Total profit  0.04888306 BTC (  48.88Σ%). Avg duration 4 days, 6:24:00 min. Objective: -11.42103
 
     # Buy hyperspace params:
     buy_params = {
-        "buy_crossed_indicator_shift": 5,
-        "buy_div": 3.61,
-        "buy_indicator_shift": 1,
+        "buy_crossed_indicator_shift": 9,
+        "buy_div_max": 0.75,
+        "buy_div_min": 0.16,
+        "buy_indicator_shift": 15,
     }
 
     # Sell hyperspace params:
     sell_params = {
-        "sell_atol": 0.30989,
-        "sell_crossed_indicator_shift": 2,
-        "sell_indicator_shift": 5,
-        "sell_rtol": 0.19449,
     }
 
     # ROI table:
     minimal_roi = {
-        "0": 0.725,
-        "889": 0.171,
-        "2776": 0.044,
-        "5299": 0
+        "0": 0.598,
+        "644": 0.166,
+        "3269": 0.115,
+        "7289": 0
     }
+
     # Stoploss:
-    stoploss = -0.312
+    stoploss = -0.256
+
+    # Optimal timeframe use it in your config
+    timeframe = '4h'
 
     ########################################## END RESULT PASTE PLACE ######################################
 
     # buy params
-    buy_div = DecimalParameter(-5, 5, default=0.51844, decimals=4, space='buy')
-    buy_indicator_shift = IntParameter(-5, 5, default=4, space='buy')
-    buy_crossed_indicator_shift = IntParameter(-5, 5, default=1, space='buy')
-
-    # sell params
-    sell_rtol = DecimalParameter(1.e-10, 1.e-0, default=0.05468, decimals=10, space='sell')
-    sell_atol = DecimalParameter(1.e-16, 1.e-0, default=0.00019, decimals=10, space='sell')
-    sell_indicator_shift = IntParameter(-5, 5, default=4, space='sell')
-    sell_crossed_indicator_shift = IntParameter(-5, 5, default=1, space='sell')
-
-    # Optimal timeframe use it in your config
-    timeframe = '4h'
+    buy_div_min = DecimalParameter(0, 1, default=0.16, decimals=2, space='buy')
+    buy_div_max = DecimalParameter(0, 1, default=0.75, decimals=2, space='buy')
+    buy_indicator_shift = IntParameter(0, 20, default=16, space='buy')
+    buy_crossed_indicator_shift = IntParameter(0, 20, default=9, space='buy')
 
     def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
         dataframe = dropna(dataframe)
@@ -93,26 +86,6 @@ class Heracles(IStrategy):
             fillna=False
         )
 
-        dataframe['trend_macd_signal'] = ta.trend.macd_signal(
-            dataframe['close'],
-            window_slow=26,
-            window_fast=12,
-            window_sign=9,
-            fillna=False
-        )
-
-        dataframe['trend_ema_fast'] = ta.trend.EMAIndicator(
-            close=dataframe['close'], window=12, fillna=False
-        ).ema_indicator()
-
-        # for checking crossovers!
-        # but we dont need to crossovers we just calculate dividation
-
-        # import matplotlib.pyplot as plt
-        # dataframe.iloc[:,6:].plot(subplots=False)
-        # plt.tight_layout()
-        # plt.show()
-
         return dataframe
 
     def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
@@ -126,16 +99,17 @@ class Heracles(IStrategy):
         DFIND = dataframe[IND]
         DFCRS = dataframe[CRS]
 
+        d = DFIND.shift(self.buy_indicator_shift.value).div(
+            DFCRS.shift(self.buy_crossed_indicator_shift.value))
+
+        # print(d.min(), "\t", d.max())
         conditions.append(
-            DFIND.shift(self.buy_indicator_shift.value).div(
-                DFCRS.shift(self.buy_crossed_indicator_shift.value)
-            ) <= self.buy_div.value
-        )
+            d.between(self.buy_div_min.value, self.buy_div_max.value))
 
         if conditions:
             dataframe.loc[
                 reduce(lambda x, y: x & y, conditions),
-                'buy'] = 1
+                'buy']=1
 
         return dataframe
 
@@ -143,25 +117,5 @@ class Heracles(IStrategy):
         """
         Sell strategy Hyperopt will build and use.
         """
-        conditions = []
-
-        IND = 'trend_ema_fast'
-        CRS = 'trend_macd_signal'
-        DFIND = dataframe[IND]
-        DFCRS = dataframe[CRS]
-
-        conditions.append(
-            np.isclose(
-                DFIND.shift(self.sell_indicator_shift.value),
-                DFCRS.shift(self.sell_crossed_indicator_shift.value),
-                rtol=self.sell_rtol.value,
-                atol=self.sell_rtol.value
-            )
-        )
-
-        if conditions:
-            dataframe.loc[
-                reduce(lambda x, y: x & y, conditions),
-                'sell']=1
 
         return dataframe