From 011759d1b70ddc839315c82a2f8d0f90d46222c0 Mon Sep 17 00:00:00 2001 From: smarmau <42020297+smarmau@users.noreply.github.com> Date: Mon, 10 Oct 2022 11:59:43 +1100 Subject: [PATCH] Update freqai-spice-rack.md Instructs newer users to place the code calling spice_rack in populate_indicators --- docs/freqai-spice-rack.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/freqai-spice-rack.md b/docs/freqai-spice-rack.md index 71c008ea9..05a748992 100644 --- a/docs/freqai-spice-rack.md +++ b/docs/freqai-spice-rack.md @@ -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.**
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)
**Datatype:** Floats. -| `extrema` | **Required.**
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.
**Datatype:** Floats. \ No newline at end of file +| `extrema` | **Required.**
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.
**Datatype:** Floats.