update spice-rack doc
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		| @@ -1,7 +1,7 @@ | |||||||
| # Using the `spice_rack` | # Using the `spice_rack` | ||||||
|  |  | ||||||
| !!! Note: | !!! Note: | ||||||
|     `spice_rack` indicators should not be used exclusively for entries and exits, the following example is just a demonstration of syntax. `spice_rack` indicators should **always** be used to support existing strategies). |     `spice_rack` indicators should not be used exclusively for entries and exits, the following example is just a demonstration of syntax. `spice_rack` indicators should **always** be used to support existing strategies. | ||||||
|  |  | ||||||
| The `spice_rack` is aimed at users who do not wish to deal with setting up `FreqAI` confgs, but instead prefer to interact with `FreqAI` similar to a `talib` indicator. In this case, the user can instead simply add two keys to their config: | The `spice_rack` is aimed at users who do not wish to deal with setting up `FreqAI` confgs, but instead prefer to interact with `FreqAI` similar to a `talib` indicator. In this case, the user can instead simply add two keys to their config: | ||||||
|  |  | ||||||
| @@ -20,7 +20,7 @@ Which tells `FreqAI` to set up a pre-set `FreqAI` instance automatically under t | |||||||
|         self.freqai.close_spice_rack()  # user must close the spicerack |         self.freqai.close_spice_rack()  # user must close the spicerack | ||||||
| ``` | ``` | ||||||
|  |  | ||||||
| Users can then use these columns, concert with all their own additional indicators added to `populate_indicators` in their entry/exit criteria and strategy callback methods the same way as any typical indicator. For example: | Users can then use these columns in concert with all their own additional indicators added to `populate_indicators` in their entry/exit criteria and strategy callback methods the same way as any typical indicator. For example: | ||||||
|  |  | ||||||
| ```python | ```python | ||||||
|     def populate_entry_trend(self, df: DataFrame, metadata: dict) -> DataFrame: |     def populate_entry_trend(self, df: DataFrame, metadata: dict) -> DataFrame: | ||||||
|   | |||||||
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