Update sample strategy with hyperoptable Parameters

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