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@@ -3048,9 +3048,9 @@ As such, the definition of features becomes much simpler with the new logic.</p>
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<span class="sd"> More details on how these config defined parameters accelerate feature engineering</span>
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<span class="sd"> in the documentation at:</span>
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<span class="sd"> https://www.freqtrade.io/en/latest/freqai-parameter-table/#feature-parameters</span>
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<span class="sd"> https://www.freqtrade.io/en/stable/freqai-parameter-table/#feature-parameters</span>
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<span class="sd"> https://www.freqtrade.io/en/latest/freqai-feature-engineering/#defining-the-features</span>
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<span class="sd"> https://www.freqtrade.io/en/stable/freqai-feature-engineering/#defining-the-features</span>
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<span class="sd"> :param df: strategy dataframe which will receive the features</span>
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<span class="sd"> :param period: period of the indicator - usage example:</span>
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@@ -3135,9 +3135,9 @@ As such, the definition of features becomes much simpler with the new logic.</p>
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<span class="sd"> More details on how these config defined parameters accelerate feature engineering</span>
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<span class="sd"> in the documentation at:</span>
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<span class="sd"> https://www.freqtrade.io/en/latest/freqai-parameter-table/#feature-parameters</span>
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<span class="sd"> https://www.freqtrade.io/en/stable/freqai-parameter-table/#feature-parameters</span>
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<span class="sd"> https://www.freqtrade.io/en/latest/freqai-feature-engineering/#defining-the-features</span>
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<span class="sd"> https://www.freqtrade.io/en/stable/freqai-feature-engineering/#defining-the-features</span>
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<span class="sd"> :param df: strategy dataframe which will receive the features</span>
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<span class="sd"> dataframe["%-pct-change"] = dataframe["close"].pct_change()</span>
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@@ -3188,7 +3188,7 @@ As such, the definition of features becomes much simpler with the new logic.</p>
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<span class="sd"> More details about feature engineering available:</span>
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<span class="sd"> https://www.freqtrade.io/en/latest/freqai-feature-engineering</span>
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<span class="sd"> https://www.freqtrade.io/en/stable/freqai-feature-engineering</span>
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<span class="sd"> :param df: strategy dataframe which will receive the features</span>
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<span class="sd"> usage example: dataframe["%-day_of_week"] = (dataframe["date"].dt.dayofweek + 1) / 7</span>
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@@ -3229,7 +3229,7 @@ As such, the definition of features becomes much simpler with the new logic.</p>
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<span class="sd"> More details about feature engineering available:</span>
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<span class="sd"> https://www.freqtrade.io/en/latest/freqai-feature-engineering</span>
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<span class="sd"> https://www.freqtrade.io/en/stable/freqai-feature-engineering</span>
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<span class="sd"> :param df: strategy dataframe which will receive the targets</span>
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<span class="sd"> usage example: dataframe["&-target"] = dataframe["close"].shift(-1) / dataframe["close"]</span>
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