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Adding the pair name when populating indicators allowing the strategy to have customized context for a pair

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This commit is contained in:
Jean-Baptiste LE STANG
2018-01-30 15:03:38 +01:00
parent 5f86c389b0
commit 26e288e655
14 changed files with 46 additions and 46 deletions
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6
docs/bot-optimization.md
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@@ -51,7 +51,7 @@ update your buy strategy.
Sample from `user_data/strategies/test_strategy.py`:
```python
def populate_buy_trend(self, dataframe: DataFrame) -> DataFrame:
def populate_buy_trend(self, dataframe: DataFrame, pair : str) -> DataFrame:
"""
Based on TA indicators, populates the buy signal for the given dataframe
:param dataframe: DataFrame
@@ -74,7 +74,7 @@ update your sell strategy.
Sample from `user_data/strategies/test_strategy.py`:
```python
def populate_sell_trend(self, dataframe: DataFrame) -> DataFrame:
def populate_sell_trend(self, dataframe: DataFrame, pair : str) -> DataFrame:
"""
Based on TA indicators, populates the sell signal for the given dataframe
:param dataframe: DataFrame
@@ -97,7 +97,7 @@ the method `populate_indicators()` from your strategy file.
Sample:
```python
def populate_indicators(dataframe: DataFrame) -> DataFrame:
def populate_indicators(dataframe: DataFrame, pair : str) -> DataFrame:
"""
Adds several different TA indicators to the given DataFrame
"""

6
docs/hyperopt.md
View File

@@ -42,7 +42,7 @@ If you have updated the buy strategy, means change the content of
As for an example if your `populate_buy_trend()` method is:
```python
def populate_buy_trend(dataframe: DataFrame) -> DataFrame:
def populate_buy_trend(dataframe: DataFrame, pair: str) -> DataFrame:
dataframe.loc[
(dataframe['rsi'] < 35) &
(dataframe['adx'] > 65),
@@ -81,7 +81,7 @@ space = {
...
def populate_buy_trend(self, dataframe: DataFrame) -> DataFrame:
def populate_buy_trend(self, dataframe: DataFrame, pair: str) -> DataFrame:
conditions = []
# GUARDS AND TRENDS
if params['adx']['enabled']:
@@ -280,7 +280,7 @@ at `adx`-block, that translates to the following code block:
So translating your whole hyperopt result to as the new buy-signal
would be the following:
```
def populate_buy_trend(self, dataframe: DataFrame) -> DataFrame:
def populate_buy_trend(self, dataframe: DataFrame, pair: str) -> DataFrame:
dataframe.loc[
(
(dataframe['adx'] > 15.0) & # adx-value