Update migration docs to include buy/entry trend migration
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@ -7,6 +7,9 @@ If you intend on using markets other than spot markets, please migrate your stra
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## Quick summary / migration checklist
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* Strategy methods:
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* `populate_buy_trend()` -> `populate_entry_trend()`
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* `populate_sell_trend()` -> `populate_exit_trend()`
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* Dataframe columns:
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* `buy` -> `enter_long`
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* `sell` -> `exit_long`
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@ -16,23 +19,23 @@ If you intend on using markets other than spot markets, please migrate your stra
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* New `side` argument to callbacks without trade object
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* `custom_stake_amount`
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* `confirm_trade_entry`
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* Renamed `trade.nr_of_successful_buys` to `trade.nr_of_successful_entries`.
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* Introduced new [`leverage` callback](strategy-callbacks.md#leverage-callback)
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* Renamed `trade.nr_of_successful_buys` to `trade.nr_of_successful_entries` (mostly relevant for `adjust_trade_position()`).
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* Introduced new [`leverage` callback](strategy-callbacks.md#leverage-callback).
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* Informative pairs can now pass a 3rd element in the Tuple, defining the candle type.
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* `@informative` decorator now takes an optional `candle_type` argument
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* `@informative` decorator now takes an optional `candle_type` argument.
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* helper methods `stoploss_from_open` and `stoploss_from_absolute` now take `is_short` as additional argument.
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* `INTERFACE_VERSION` should be set to 3.
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* Strategy/Configuration settings
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* `order_time_in_force` buy -> entry, sell -> exit
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* `order_types` buy -> entry, sell -> exit
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* Strategy/Configuration settings.
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* `order_time_in_force` buy -> entry, sell -> exit.
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* `order_types` buy -> entry, sell -> exit.
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## Extensive explanation
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### `populate_buy_trend`
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In `populate_buy_trend()` - you will want to change the columns you assign from `'buy`' to `'enter_long`
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In `populate_buy_trend()` - you will want to change the columns you assign from `'buy`' to `'enter_long`, as well as the method name from `populate_buy_trend` to `populate_entry_trend`.
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```python hl_lines="9"
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```python hl_lines="1 9"
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def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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dataframe.loc[
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(
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@ -48,8 +51,8 @@ def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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After:
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```python hl_lines="9"
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def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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```python hl_lines="1 9"
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def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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dataframe.loc[
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(
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(qtpylib.crossed_above(dataframe['rsi'], 30)) & # Signal: RSI crosses above 30
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@ -62,9 +65,14 @@ def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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return dataframe
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```
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Please refer to the [Strategy documentation](strategy-customization.md#entry-signal-rules) on how to enter and exit short trades.
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### `populate_sell_trend`
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``` python hl_lines="9"
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Similar to `populate_buy_trend`, `populate_sell_trend()` will be renamed to `populate_exit_trend()`.
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We'll also change the column from `"sell"` to `"exit_long"`.
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``` python hl_lines="1 9"
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def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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dataframe.loc[
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(
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@ -79,8 +87,8 @@ def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame
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After
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``` python hl_lines="9"
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def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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``` python hl_lines="1 9"
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def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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dataframe.loc[
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(
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(qtpylib.crossed_above(dataframe['rsi'], 70)) & # Signal: RSI crosses above 70
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@ -92,6 +100,8 @@ def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame
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return dataframe
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```
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Please refer to the [Strategy documentation](strategy-customization.md#exit-signal-rules) on how to enter and exit short trades.
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### Custom-stake-amount
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New string argument `side` - which can be either `"long"` or `"short"`.
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