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Update freqai-spice-rack.md

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Instructs newer users to place the code calling spice_rack in populate_indicators
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smarmau 2022-10-10 11:59:43 +11:00 committed by GitHub
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@ -10,7 +10,7 @@ The `spice_rack` is aimed at users who do not wish to deal with setting up `Freq
"freqai_identifier": "spicey-id",
```
Which tells `FreqAI` to set up a pre-set `FreqAI` instance automatically under the hood with preset parameters. Now the user can access a suite of custom `FreqAI` supercharged indicators inside their strategy:
Which tells `FreqAI` to set up a pre-set `FreqAI` instance automatically under the hood with preset parameters. Now the user can access a suite of custom `FreqAI` supercharged indicators inside their strategy by placing the following code into `populate_indicators`:
```python
dataframe['dissimilarity_index'] = self.freqai.spice_rack(
@ -68,4 +68,4 @@ Users can then use these columns in concert with all their own additional indica
| Parameter | Description |
|------------|-------------|
| `DI_values` | **Required.** <br> The dissimilarity index of the current candle to the recent candles. More information available [here](freqai-feature-engineering.md#identifying-outliers-with-the-dissimilarity-index-di) <br> **Datatype:** Floats.
| `extrema` | **Required.** <br> A continuous prediction from FreqAI which aims to help predict if the current candle is a maxima or a minma. FreqAI aims for 1 to be a maxima and -1 to be a minima - but the values should typically hover between -0.2 and 0.2. <br> **Datatype:** Floats.
| `extrema` | **Required.** <br> A continuous prediction from FreqAI which aims to help predict if the current candle is a maxima or a minma. FreqAI aims for 1 to be a maxima and -1 to be a minima - but the values should typically hover between -0.2 and 0.2. <br> **Datatype:** Floats.