Merge branch 'develop' into strategy_version
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@@ -24,7 +24,7 @@ strategy file will be updated on Github. Put your custom strategy file
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into the directory `user_data/strategies`.
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Best copy the test-strategy and modify this copy to avoid having bot-updates override your changes.
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`cp user_data/strategies/test_strategy.py user_data/strategies/awesome-strategy.py`
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`cp user_data/strategies/sample_strategy.py user_data/strategies/awesome-strategy.py`
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### Anatomy of a strategy
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@@ -36,8 +36,8 @@ A strategy file contains all the information needed to build a good strategy:
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- Minimal ROI recommended
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- Stoploss strongly recommended
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The bot includes a sample strategy called `TestStrategy` you can update: `user_data/strategies/test_strategy.py`.
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You can test it with the parameter: `--strategy TestStrategy`
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The bot also include a sample strategy called `SampleStrategy` you can update: `user_data/strategies/sample_strategy.py`.
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You can test it with the parameter: `--strategy SampleStrategy`
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Additionally, there is an attribute called `INTERFACE_VERSION`, which defines the version of the strategy interface the bot should use.
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The current version is 2 - which is also the default when it's not set explicitly in the strategy.
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@@ -48,7 +48,7 @@ Future versions will require this to be set.
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freqtrade --strategy AwesomeStrategy
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```
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**For the following section we will use the [user_data/strategies/test_strategy.py](https://github.com/freqtrade/freqtrade/blob/develop/user_data/strategies/test_strategy.py)
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**For the following section we will use the [user_data/strategies/sample_strategy.py](https://github.com/freqtrade/freqtrade/blob/develop/user_data/strategies/sample_strategy.py)
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file as reference.**
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!!! Note Strategies and Backtesting
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@@ -114,9 +114,8 @@ def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame
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return dataframe
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```
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!!! Note "Want more indicator examples?"
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Look into the [user_data/strategies/test_strategy.py](https://github.com/freqtrade/freqtrade/blob/develop/user_data/strategies/test_strategy.py).<br/>
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Look into the [user_data/strategies/sample_strategy.py](https://github.com/freqtrade/freqtrade/blob/develop/user_data/strategies/sample_strategy.py).
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Then uncomment indicators you need.
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### Buy signal rules
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@@ -127,7 +126,7 @@ It's important to always return the dataframe without removing/modifying the col
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This will method will also define a new column, `"buy"`, which needs to contain 1 for buys, and 0 for "no action".
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Sample from `user_data/strategies/test_strategy.py`:
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Sample from `user_data/strategies/sample_strategy.py`:
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```python
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def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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@@ -157,7 +156,7 @@ It's important to always return the dataframe without removing/modifying the col
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This will method will also define a new column, `"sell"`, which needs to contain 1 for sells, and 0 for "no action".
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Sample from `user_data/strategies/test_strategy.py`:
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Sample from `user_data/strategies/sample_strategy.py`:
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```python
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def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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