From 2107dce2cd13331953089403cde2ed491e659888 Mon Sep 17 00:00:00 2001 From: Robert Caulk Date: Fri, 16 Jun 2023 15:03:49 +0200 Subject: [PATCH 1/2] Update freqai-feature-engineering.md --- docs/freqai-feature-engineering.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/docs/freqai-feature-engineering.md b/docs/freqai-feature-engineering.md index 82b7569a5..d106b1dd8 100644 --- a/docs/freqai-feature-engineering.md +++ b/docs/freqai-feature-engineering.md @@ -180,6 +180,9 @@ You can ask for each of the defined features to be included also for informative In total, the number of features the user of the presented example strat has created is: length of `include_timeframes` * no. features in `feature_engineering_expand_*()` * length of `include_corr_pairlist` * no. `include_shifted_candles` * length of `indicator_periods_candles` $= 3 * 3 * 3 * 2 * 2 = 108$. + + !!! note "Learn more about creative feature engineering" + Check out our [medium article](https://emergentmethods.medium.com/freqai-from-price-to-prediction-6fadac18b665) geared toward helping users learn how to creatively engineer features. ### Gain finer control over `feature_engineering_*` functions with `metadata` From ffd7394adb5429791188fa1a2e2775771e800b05 Mon Sep 17 00:00:00 2001 From: Robert Caulk Date: Fri, 16 Jun 2023 15:10:11 +0200 Subject: [PATCH 2/2] Update freqai.md --- docs/freqai.md | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/docs/freqai.md b/docs/freqai.md index a1b20ae1e..820fb81f6 100644 --- a/docs/freqai.md +++ b/docs/freqai.md @@ -107,6 +107,13 @@ This is for performance reasons - FreqAI relies on making quick predictions/retr it needs to download all the training data at the beginning of a dry/live instance. FreqAI stores and appends new candles automatically for future retrains. This means that if new pairs arrive later in the dry run due to a volume pairlist, it will not have the data ready. However, FreqAI does work with the `ShufflePairlist` or a `VolumePairlist` which keeps the total pairlist constant (but reorders the pairs according to volume). +## Additional learning materials + +Here we compile some external materials that provide deeper looks into various components of FreqAI: + +- [Real-time head-to-head: Adaptive modeling of financial market data using XGBoost and CatBoost](https://emergentmethods.medium.com/real-time-head-to-head-adaptive-modeling-of-financial-market-data-using-xgboost-and-catboost-995a115a7495) +- [FreqAI - from price to prediction](https://emergentmethods.medium.com/freqai-from-price-to-prediction-6fadac18b665) + ## Credits FreqAI is developed by a group of individuals who all contribute specific skillsets to the project.