From 771fc057494a55902624e633d9ff8066eb1da323 Mon Sep 17 00:00:00 2001
From: Matthias <xmatthias@outlook.com>
Date: Sat, 3 Apr 2021 16:32:16 +0200
Subject: [PATCH] Update sample strategy with hyperoptable Parameters

---
 freqtrade/templates/base_strategy.py.j2 |  4 +++-
 freqtrade/templates/sample_strategy.py  | 16 ++++++++++++----
 2 files changed, 15 insertions(+), 5 deletions(-)

diff --git a/freqtrade/templates/base_strategy.py.j2 b/freqtrade/templates/base_strategy.py.j2
index dd6b773e1..9d69ee520 100644
--- a/freqtrade/templates/base_strategy.py.j2
+++ b/freqtrade/templates/base_strategy.py.j2
@@ -1,4 +1,5 @@
 # pragma pylint: disable=missing-docstring, invalid-name, pointless-string-statement
+# flake8: noqa: F401
 
 # --- Do not remove these libs ---
 import numpy as np  # noqa
@@ -6,6 +7,7 @@ import pandas as pd  # noqa
 from pandas import DataFrame
 
 from freqtrade.strategy import IStrategy
+from freqtrade.strategy import CategoricalParameter, DecimalParameter, IntParameter
 
 # --------------------------------
 # Add your lib to import here
@@ -16,7 +18,7 @@ import freqtrade.vendor.qtpylib.indicators as qtpylib
 class {{ strategy }}(IStrategy):
     """
     This is a strategy template to get you started.
-    More information in https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md
+    More information in https://www.freqtrade.io/en/latest/strategy-customization/
 
     You can:
         :return: a Dataframe with all mandatory indicators for the strategies
diff --git a/freqtrade/templates/sample_strategy.py b/freqtrade/templates/sample_strategy.py
index db1ba48b8..84f3fbc9e 100644
--- a/freqtrade/templates/sample_strategy.py
+++ b/freqtrade/templates/sample_strategy.py
@@ -1,11 +1,13 @@
 # pragma pylint: disable=missing-docstring, invalid-name, pointless-string-statement
+# flake8: noqa: F401
 # isort: skip_file
 # --- Do not remove these libs ---
 import numpy as np  # noqa
 import pandas as pd  # noqa
 from pandas import DataFrame
 
-from freqtrade.strategy.interface import IStrategy
+from freqtrade.strategy import IStrategy
+from freqtrade.strategy import CategoricalParameter, DecimalParameter, IntParameter
 
 # --------------------------------
 # Add your lib to import here
@@ -52,7 +54,11 @@ class SampleStrategy(IStrategy):
     # trailing_stop_positive = 0.01
     # trailing_stop_positive_offset = 0.0  # Disabled / not configured
 
-    # Optimal ticker interval for the strategy.
+    # Hyperoptable parameters
+    buy_rsi = IntParameter(low=1, high=50, default=30, space='buy', optimize=True, load=True)
+    sell_rsi = IntParameter(low=50, high=100, defualt=70, space='buy', optimize=True, load=True)
+
+    # Optimal timeframe for the strategy.
     timeframe = '5m'
 
     # Run "populate_indicators()" only for new candle.
@@ -339,7 +345,8 @@ class SampleStrategy(IStrategy):
         """
         dataframe.loc[
             (
-                (qtpylib.crossed_above(dataframe['rsi'], 30)) &  # Signal: RSI crosses above 30
+                # Signal: RSI crosses above 30
+                (qtpylib.crossed_above(dataframe['rsi'], self.buy_rsi.value)) &
                 (dataframe['tema'] <= dataframe['bb_middleband']) &  # Guard: tema below BB middle
                 (dataframe['tema'] > dataframe['tema'].shift(1)) &  # Guard: tema is raising
                 (dataframe['volume'] > 0)  # Make sure Volume is not 0
@@ -357,7 +364,8 @@ class SampleStrategy(IStrategy):
         """
         dataframe.loc[
             (
-                (qtpylib.crossed_above(dataframe['rsi'], 70)) &  # Signal: RSI crosses above 70
+                # Signal: RSI crosses above 70
+                (qtpylib.crossed_above(dataframe['rsi'], self.sell_rsi.value)) &
                 (dataframe['tema'] > dataframe['bb_middleband']) &  # Guard: tema above BB middle
                 (dataframe['tema'] < dataframe['tema'].shift(1)) &  # Guard: tema is falling
                 (dataframe['volume'] > 0)  # Make sure Volume is not 0