Merge pull request #1508 from freqtrade/improve_strategy_docs
Add information about dataframe
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@ -216,12 +216,40 @@ This is the set of candles the bot should download and use for the analysis.
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Common values are `"1m"`, `"5m"`, `"15m"`, `"1h"`, however all values supported by your exchange should work.
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Please note that the same buy/sell signals may work with one interval, but not the other.
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This setting is accessible within the strategy by using `self.ticker_interval`.
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### Metadata dict
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The metadata-dict (available for `populate_buy_trend`, `populate_sell_trend`, `populate_indicators`) contains additional information.
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Currently this is `pair`, which can be accessed using `metadata['pair']` - and will return a pair in the format `XRP/BTC`.
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The Metadata-dict should not be modified and does not persist information across multiple calls.
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Instead, have a look at the section [Storing information](#Storing-information)
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### Storing information
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Storing information can be accomplished by crating a new dictionary within the strategy class.
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The name of the variable can be choosen at will, but should be prefixed with `cust_` to avoid naming collisions with predefined strategy variables.
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```python
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class Awesomestrategy(IStrategy):
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# Create custom dictionary
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cust_info = {}
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def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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# Check if the entry already exists
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if "crosstime" in self.cust_info[metadata["pair"]:
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self.cust_info[metadata["pair"]["crosstime"] += 1
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else:
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self.cust_info[metadata["pair"]["crosstime"] = 1
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```
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!!! Warning:
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The data is not persisted after a bot-restart (or config-reload). Also, the amount of data should be kept smallish (no DataFrames and such), otherwise the bot will start to consume a lot of memory and eventually run out of memory and crash.
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!!! Note:
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If the data is pair-specific, make sure to use pair as one of the keys in the dictionary.
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### Where is the default strategy?
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The default buy strategy is located in the file
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