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improve docstrings for strategy

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Matthias 2018-07-25 07:54:01 +01:00
parent 5fbce13830
commit 82680ac6aa
2 changed files with 7 additions and 0 deletions
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3
freqtrade/strategy/default_strategy.py
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@ -35,6 +35,9 @@ class DefaultStrategy(IStrategy):
Performance Note: For the best performance be frugal on the number of indicators Performance Note: For the best performance be frugal on the number of indicators
you are using. Let uncomment only the indicator you are using in your strategies you are using. Let uncomment only the indicator you are using in your strategies
or your hyperopt configuration, otherwise you will waste your memory and CPU usage. or your hyperopt configuration, otherwise you will waste your memory and CPU usage.
:param dataframe: Raw data from the exchange and parsed by parse_ticker_dataframe()
:param pair: Pair currently analyzed
:return: a Dataframe with all mandatory indicators for the strategies
""" """
# Momentum Indicator # Momentum Indicator

4
user_data/strategies/test_strategy.py
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@ -18,6 +18,7 @@ class TestStrategy(IStrategy):
More information in https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md More information in https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md
You can: You can:
:return: a Dataframe with all mandatory indicators for the strategies
- Rename the class name (Do not forget to update class_name) - Rename the class name (Do not forget to update class_name)
- Add any methods you want to build your strategy - Add any methods you want to build your strategy
- Add any lib you need to build your strategy - Add any lib you need to build your strategy
@ -51,6 +52,9 @@ class TestStrategy(IStrategy):
Performance Note: For the best performance be frugal on the number of indicators Performance Note: For the best performance be frugal on the number of indicators
you are using. Let uncomment only the indicator you are using in your strategies you are using. Let uncomment only the indicator you are using in your strategies
or your hyperopt configuration, otherwise you will waste your memory and CPU usage. or your hyperopt configuration, otherwise you will waste your memory and CPU usage.
:param dataframe: Raw data from the exchange and parsed by parse_ticker_dataframe()
:param pair: Pair currently analyzed
:return: a Dataframe with all mandatory indicators for the strategies
""" """
# Momentum Indicator # Momentum Indicator