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docs/strategy-customization enter_short and exit_short

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Sam Germain 2022-04-01 05:59:59 -06:00
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docs/strategy-customization.md
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@ -205,7 +205,7 @@ Edit the method `populate_entry_trend()` in your strategy file to update your en
It's important to always return the dataframe without removing/modifying the columns `"open", "high", "low", "close", "volume"`, otherwise these fields would contain something unexpected. It's important to always return the dataframe without removing/modifying the columns `"open", "high", "low", "close", "volume"`, otherwise these fields would contain something unexpected.
This method will also define a new column, `"enter_long"`, which needs to contain 1 for entries, and 0 for "no action". `enter_long` column is a mandatory column that must be set even if the strategy is shorting only. This method will also define a new column, `"enter_long"` (`"enter_short"` for shorts), which needs to contain 1 for entries, and 0 for "no action". `enter_long` column is a mandatory column that must be set even if the strategy is shorting only.
Sample from `user_data/strategies/sample_strategy.py`: Sample from `user_data/strategies/sample_strategy.py`:
@ -268,7 +268,7 @@ Please note that the sell-signal is only used if `use_sell_signal` is set to tru
It's important to always return the dataframe without removing/modifying the columns `"open", "high", "low", "close", "volume"`, otherwise these fields would contain something unexpected. It's important to always return the dataframe without removing/modifying the columns `"open", "high", "low", "close", "volume"`, otherwise these fields would contain something unexpected.
This method will also define a new column, `"exit_long"`, which needs to contain 1 for sells, and 0 for "no action". This method will also define a new column, `"exit_long"` (`"exit_short"` for shorts), which needs to contain 1 for exits, and 0 for "no action".
Sample from `user_data/strategies/sample_strategy.py`: Sample from `user_data/strategies/sample_strategy.py`: