Deployed 7492cf8 to develop in en with MkDocs 1.6.1 and mike 2.1.3

This commit is contained in:
github-actions[bot]
2026-02-12 18:04:05 +00:00
parent 47f49c4e0f
commit b083d3c200
6 changed files with 16 additions and 16 deletions
+6 -6
View File
@@ -3048,9 +3048,9 @@ As such, the definition of features becomes much simpler with the new logic.</p>
<span class="sd"> More details on how these config defined parameters accelerate feature engineering</span>
<span class="sd"> in the documentation at:</span>
<span class="sd"> https://www.freqtrade.io/en/latest/freqai-parameter-table/#feature-parameters</span>
<span class="sd"> https://www.freqtrade.io/en/stable/freqai-parameter-table/#feature-parameters</span>
<span class="sd"> https://www.freqtrade.io/en/latest/freqai-feature-engineering/#defining-the-features</span>
<span class="sd"> https://www.freqtrade.io/en/stable/freqai-feature-engineering/#defining-the-features</span>
<span class="sd"> :param df: strategy dataframe which will receive the features</span>
<span class="sd"> :param period: period of the indicator - usage example:</span>
@@ -3135,9 +3135,9 @@ As such, the definition of features becomes much simpler with the new logic.</p>
<span class="sd"> More details on how these config defined parameters accelerate feature engineering</span>
<span class="sd"> in the documentation at:</span>
<span class="sd"> https://www.freqtrade.io/en/latest/freqai-parameter-table/#feature-parameters</span>
<span class="sd"> https://www.freqtrade.io/en/stable/freqai-parameter-table/#feature-parameters</span>
<span class="sd"> https://www.freqtrade.io/en/latest/freqai-feature-engineering/#defining-the-features</span>
<span class="sd"> https://www.freqtrade.io/en/stable/freqai-feature-engineering/#defining-the-features</span>
<span class="sd"> :param df: strategy dataframe which will receive the features</span>
<span class="sd"> dataframe[&quot;%-pct-change&quot;] = dataframe[&quot;close&quot;].pct_change()</span>
@@ -3188,7 +3188,7 @@ As such, the definition of features becomes much simpler with the new logic.</p>
<span class="sd"> More details about feature engineering available:</span>
<span class="sd"> https://www.freqtrade.io/en/latest/freqai-feature-engineering</span>
<span class="sd"> https://www.freqtrade.io/en/stable/freqai-feature-engineering</span>
<span class="sd"> :param df: strategy dataframe which will receive the features</span>
<span class="sd"> usage example: dataframe[&quot;%-day_of_week&quot;] = (dataframe[&quot;date&quot;].dt.dayofweek + 1) / 7</span>
@@ -3229,7 +3229,7 @@ As such, the definition of features becomes much simpler with the new logic.</p>
<span class="sd"> More details about feature engineering available:</span>
<span class="sd"> https://www.freqtrade.io/en/latest/freqai-feature-engineering</span>
<span class="sd"> https://www.freqtrade.io/en/stable/freqai-feature-engineering</span>
<span class="sd"> :param df: strategy dataframe which will receive the targets</span>
<span class="sd"> usage example: dataframe[&quot;&amp;-target&quot;] = dataframe[&quot;close&quot;].shift(-1) / dataframe[&quot;close&quot;]</span>