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4
en/develop/advanced-setup/index.html
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@@ -2267,7 +2267,7 @@ services:
volumes:
- "./user_data:/freqtrade/user_data"
# Expose api on port 8080 (localhost only)
# Please read the https://www.freqtrade.io/en/latest/rest-api/ documentation
# Please read the https://www.freqtrade.io/en/stable/rest-api/ documentation
# before enabling this.
ports:
- "127.0.0.1:8080:8080"
@@ -2294,7 +2294,7 @@ services:
volumes:
- "./user_data:/freqtrade/user_data"
# Expose api on port 8080 (localhost only)
# Please read the https://www.freqtrade.io/en/latest/rest-api/ documentation
# Please read the https://www.freqtrade.io/en/stable/rest-api/ documentation
# before enabling this.
ports:
- "127.0.0.1:8081:8080"

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en/develop/freqai-reinforcement-learning/index.html
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@@ -2119,7 +2119,7 @@ Users who prefer docker should ensure they use the docker image appended with <c
<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>

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en/develop/freqai/index.html
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@@ -2151,7 +2151,7 @@
<p>FreqAI is a software designed to automate a variety of tasks associated with training a predictive machine learning model to generate market forecasts given a set of input signals. In general, FreqAI aims to be a sandbox for easily deploying robust machine learning libraries on real-time data (<a href="#freqai-position-in-open-source-machine-learning-landscape">details</a>).</p>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>FreqAI is, and always will be, a not-for-profit, open source project. FreqAI does <em>not</em> have a crypto token, FreqAI does <em>not</em> sell signals, and FreqAI does not have a domain besides the present <a href="https://www.freqtrade.io/en/latest/freqai/">freqtrade documentation</a>.</p>
<p>FreqAI is, and always will be, a not-for-profit, open source project. FreqAI does <em>not</em> have a crypto token, FreqAI does <em>not</em> sell signals, and FreqAI does not have a domain besides the present <a href="https://www.freqtrade.io/en/stable/freqai/">freqtrade documentation</a>.</p>
</div>
<p>Features include:</p>
<ul>

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en/develop/search/search_index.json
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en/develop/strategy-callbacks/index.html
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@@ -3300,7 +3300,7 @@ Of course, many more things are possible, and all examples can be combined at wi
<span class="sd"> e.g. returning -0.05 would create a stoploss 5% below current_rate.</span>
<span class="sd"> The custom stoploss can never be below self.stoploss, which serves as a hard maximum loss.</span>
<span class="sd"> For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/</span>
<span class="sd"> For full documentation please go to https://www.freqtrade.io/en/stable/strategy-advanced/</span>
<span class="sd"> When not implemented by a strategy, returns the initial stoploss value.</span>
<span class="sd"> Only called when use_custom_stoploss is set to True.</span>
@@ -3794,7 +3794,7 @@ This are the last methods that will be called before an order is placed.</p>
<span class="sd"> Timing for this function is critical, so avoid doing heavy computations or</span>
<span class="sd"> network requests in this method.</span>
<span class="sd"> For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/</span>
<span class="sd"> For full documentation please go to https://www.freqtrade.io/en/stable/strategy-advanced/</span>
<span class="sd"> When not implemented by a strategy, returns True (always confirming).</span>
@@ -3837,7 +3837,7 @@ The exit-reasons (if applicable) will be in the following sequence:</p>
<span class="sd"> Timing for this function is critical, so avoid doing heavy computations or</span>
<span class="sd"> network requests in this method.</span>
<span class="sd"> For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/</span>
<span class="sd"> For full documentation please go to https://www.freqtrade.io/en/stable/strategy-advanced/</span>
<span class="sd"> When not implemented by a strategy, returns True (always confirming).</span>
@@ -3959,7 +3959,7 @@ Regular stoploss rules still apply (cannot move down).</p>
<span class="sd"> This means extra entry or exit orders with additional fees.</span>
<span class="sd"> Only called when `position_adjustment_enable` is set to True.</span>
<span class="sd"> For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/</span>
<span class="sd"> For full documentation please go to https://www.freqtrade.io/en/stable/strategy-advanced/</span>
<span class="sd"> When not implemented by a strategy, returns None</span>
@@ -4079,7 +4079,7 @@ Orders that are cancelled via the above methods will not have this callback call
<span class="sd"> This only executes when a order was already placed, still open (unfilled fully or partially)</span>
<span class="sd"> and not timed out on subsequent candles after entry trigger.</span>
<span class="sd"> For full documentation please go to https://www.freqtrade.io/en/latest/strategy-callbacks/</span>
<span class="sd"> For full documentation please go to https://www.freqtrade.io/en/stable/strategy-callbacks/</span>
<span class="sd"> When not implemented by a strategy, returns current_order_rate as default.</span>
<span class="sd"> If current_order_rate is returned then the existing order is maintained.</span>

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en/develop/strategy_migration/index.html
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@@ -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>