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rerun code gen
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LouisSzeto committed Jul 23, 2024
1 parent f474369 commit 937b760
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"101": "",
"102": "",
"103": "",
"104": ""
"104": "",
"105": "",
"106": "",
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"110": "",
"111": ""
}
}
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$helperArguments = 'symbol, 1, 1, 1, 20';
$properties = array();
$pyProperties = array();
$otherProperties = array("ArParameters","MaParameters","Intercept","ArResidualError","MaResidualError");
$otherPyProperties = array("ar_parameters","ma_parameters","intercept","ar_residual_error","ma_residual_error");
$otherProperties = array("HandleExceptions","ArParameters","MaParameters","Intercept","ArResidualError","MaResidualError");
$otherPyProperties = array("handle_exceptions","ar_parameters","ma_parameters","intercept","ar_residual_error","ma_residual_error");
$updateParameterType = 'time/number pair or an <code>IndicatorDataPoint</code>';
$constructorArguments = '1, 1, 1, 20, True';
$updateParameterValue = 'bar.EndTime, bar.Close';
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<!-- Code generated by indicator_reference_code_generator.py -->
<p>The ChoppinessIndex indicator is an indicator designed to determine if the market is choppy (trading sideways) or not choppy (trading within a trend in either direction)</p>
<p>To view the implementation of this indicator, see the <a rel="nofollow" target="_blank" href="https://github.com/QuantConnect/Lean/tree/master/Indicators/ChoppinessIndex.cs">LEAN GitHub repository</a>.</p>
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<!-- Code generated by indicator_reference_code_generator.py -->
<?
$hasReference = false;
$hasAutomaticIndicatorHelper = true;
$helperPrefix = '';
$typeName = 'ChoppinessIndex';
$helperName = 'ChoppinessIndex';
$helperArguments = 'symbol';
$properties = array();
$pyProperties = array();
$otherProperties = array();
$otherPyProperties = array();
$updateParameterType = 'a <code>TradeBar</code> or <code>QuoteBar</code>';
$constructorArguments = '';
$updateParameterValue = 'bar';
$hasMovingAverageTypeParameter = False;
$constructorBox = 'choppiness-index';
$isOptionIndicator = false;
include(DOCS_RESOURCES."/indicators/using-indicator.php");
?>
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<!-- Code generated by indicator_reference_code_generator.py -->
<?
$typeName = "ChoppinessIndex";
$imageSource = "https://cdn.quantconnect.com/docs/i/writing-algorithms/indicators/supported-indicators/choppiness-index.png";
include(DOCS_RESOURCES."/indicators/visualization.php");
?>
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<!-- Code generated by indicator_reference_code_generator.py -->
<?
$helperPrefix = '';
$typeName = 'ChoppinessIndex';
$helperName = 'ChoppinessIndex';
$helperArguments = 'symbol';
$hasReference = false;
$isOptionIndicator = false;
$csharpProperties = array();
$pythonProperties = array();
include(DOCS_RESOURCES."/indicators/indicator-history.php");
?>
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{
"type": "metadata",
"values": {
"description": "The ChoppinessIndex indicator is an indicator designed to determine if the market is choppy (trading sideways) or not choppy (t...",
"keywords": "choppiness index",
"og:type": "website",
"og:description": "The ChoppinessIndex indicator is an indicator designed to determine if the market is choppy (trading sideways) or not choppy (t...",
"og:title": "Choppiness Index - Using Indicators on QuantConnect.com",
"og:site_name": "Choppiness Index - Using Indicators on QuantConnect.com",
"og:image": "https://cdn.quantconnect.com/docs/i/writing-algorithms/indicators/supported-indicators/choppiness-index.png"
}
}
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<!-- Code generated by indicator_reference_code_generator.py -->
<p>The Force Index is calculated by comparing the current market price with the previous market price and multiplying its difference with the traded volume during a specific time period.</p>
<p>To view the implementation of this indicator, see the <a rel="nofollow" target="_blank" href="https://github.com/QuantConnect/Lean/tree/master/Indicators/ForceIndex.cs">LEAN GitHub repository</a>.</p>
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<!-- Code generated by indicator_reference_code_generator.py -->
<?
$hasReference = false;
$hasAutomaticIndicatorHelper = true;
$helperPrefix = '';
$typeName = 'ForceIndex';
$helperName = 'ForceIndex';
$helperArguments = 'symbol';
$properties = array();
$pyProperties = array();
$otherProperties = array();
$otherPyProperties = array();
$updateParameterType = 'a <code>TradeBar</code>';
$constructorArguments = '';
$updateParameterValue = 'bar';
$hasMovingAverageTypeParameter = False;
$constructorBox = 'force-index';
$isOptionIndicator = false;
include(DOCS_RESOURCES."/indicators/using-indicator.php");
?>
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<!-- Code generated by indicator_reference_code_generator.py -->
<?
$typeName = "ForceIndex";
$imageSource = "https://cdn.quantconnect.com/docs/i/writing-algorithms/indicators/supported-indicators/force-index.png";
include(DOCS_RESOURCES."/indicators/visualization.php");
?>
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<!-- Code generated by indicator_reference_code_generator.py -->
<?
$helperPrefix = '';
$typeName = 'ForceIndex';
$helperName = 'ForceIndex';
$helperArguments = 'symbol';
$hasReference = false;
$isOptionIndicator = false;
$csharpProperties = array();
$pythonProperties = array();
include(DOCS_RESOURCES."/indicators/indicator-history.php");
?>
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{
"type": "metadata",
"values": {
"description": "The Force Index is calculated by comparing the current market price with the previous market price and multiplying its differen...",
"keywords": "force index",
"og:type": "website",
"og:description": "The Force Index is calculated by comparing the current market price with the previous market price and multiplying its differen...",
"og:title": "Force Index - Using Indicators on QuantConnect.com",
"og:site_name": "Force Index - Using Indicators on QuantConnect.com",
"og:image": "https://cdn.quantconnect.com/docs/i/writing-algorithms/indicators/supported-indicators/force-index.png"
}
}
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<!-- Code generated by indicator_reference_code_generator.py -->
<p>The InternalBarStrenght indicator is a measure of the relative position of a period's closing price to the same period's high and low. The IBS can be interpreted to predict a bullish signal when displaying a low value and a bearish signal when presenting a high value.</p>
<p>To view the implementation of this indicator, see the <a rel="nofollow" target="_blank" href="https://github.com/QuantConnect/Lean/tree/master/Indicators/InternalBarStrength.cs">LEAN GitHub repository</a>.</p>
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<!-- Code generated by indicator_reference_code_generator.py -->
<?
$hasReference = false;
$hasAutomaticIndicatorHelper = true;
$helperPrefix = '';
$typeName = 'InternalBarStrength';
$helperName = 'InternalBarStrength';
$helperArguments = 'symbol';
$properties = array();
$pyProperties = array();
$otherProperties = array();
$otherPyProperties = array();
$updateParameterType = 'a <code>TradeBar</code> or <code>QuoteBar</code>';
$constructorArguments = '';
$updateParameterValue = 'bar';
$hasMovingAverageTypeParameter = False;
$constructorBox = 'internal-bar-strength';
$isOptionIndicator = false;
include(DOCS_RESOURCES."/indicators/using-indicator.php");
?>
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<!-- Code generated by indicator_reference_code_generator.py -->
<?
$typeName = "InternalBarStrength";
$imageSource = "https://cdn.quantconnect.com/docs/i/writing-algorithms/indicators/supported-indicators/internal-bar-strength.png";
include(DOCS_RESOURCES."/indicators/visualization.php");
?>
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<!-- Code generated by indicator_reference_code_generator.py -->
<?
$helperPrefix = '';
$typeName = 'InternalBarStrength';
$helperName = 'InternalBarStrength';
$helperArguments = 'symbol';
$hasReference = false;
$isOptionIndicator = false;
$csharpProperties = array();
$pythonProperties = array();
include(DOCS_RESOURCES."/indicators/indicator-history.php");
?>
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{
"type": "metadata",
"values": {
"description": "The InternalBarStrenght indicator is a measure of the relative position of a period's closing price to the same period's high a...",
"keywords": "internal bar strength",
"og:type": "website",
"og:description": "The InternalBarStrenght indicator is a measure of the relative position of a period's closing price to the same period's high a...",
"og:title": "Internal Bar Strength - Using Indicators on QuantConnect.com",
"og:site_name": "Internal Bar Strength - Using Indicators on QuantConnect.com",
"og:image": "https://cdn.quantconnect.com/docs/i/writing-algorithms/indicators/supported-indicators/internal-bar-strength.png"
}
}
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<!-- Code generated by indicator_reference_code_generator.py -->
<p>This indicator represents the McGinley Dynamic (MGD) It is a type of moving average that was designed to track the market better than existing moving average indicators. It is a technical indicator that improves upon moving average lines by adjusting for shifts in market speed.</p>
<p>To view the implementation of this indicator, see the <a rel="nofollow" target="_blank" href="https://github.com/QuantConnect/Lean/tree/master/Indicators/McGinleyDynamic.cs">LEAN GitHub repository</a>.</p>
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<!-- Code generated by indicator_reference_code_generator.py -->
<?
$hasReference = false;
$hasAutomaticIndicatorHelper = true;
$helperPrefix = '';
$typeName = 'McGinleyDynamic';
$helperName = 'McGinleyDynamic';
$helperArguments = 'symbol';
$properties = array();
$pyProperties = array();
$otherProperties = array();
$otherPyProperties = array();
$updateParameterType = 'time/number pair or an <code>IndicatorDataPoint</code>';
$constructorArguments = '';
$updateParameterValue = 'bar.EndTime, bar.Close';
$hasMovingAverageTypeParameter = False;
$constructorBox = 'mc-ginley-dynamic';
$isOptionIndicator = false;
include(DOCS_RESOURCES."/indicators/using-indicator.php");
?>
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<!-- Code generated by indicator_reference_code_generator.py -->
<?
$typeName = "McGinleyDynamic";
$imageSource = "https://cdn.quantconnect.com/docs/i/writing-algorithms/indicators/supported-indicators/mc-ginley-dynamic.png";
include(DOCS_RESOURCES."/indicators/visualization.php");
?>
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@@ -0,0 +1,12 @@
<!-- Code generated by indicator_reference_code_generator.py -->
<?
$helperPrefix = '';
$typeName = 'McGinleyDynamic';
$helperName = 'McGinleyDynamic';
$helperArguments = 'symbol';
$hasReference = false;
$isOptionIndicator = false;
$csharpProperties = array();
$pythonProperties = array();
include(DOCS_RESOURCES."/indicators/indicator-history.php");
?>
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{
"type": "metadata",
"values": {
"description": "This indicator represents the McGinley Dynamic (MGD) It is a type of moving average that was designed to track the market bette...",
"keywords": "mc ginley dynamic",
"og:type": "website",
"og:description": "This indicator represents the McGinley Dynamic (MGD) It is a type of moving average that was designed to track the market bette...",
"og:title": "Mc Ginley Dynamic - Using Indicators on QuantConnect.com",
"og:site_name": "Mc Ginley Dynamic - Using Indicators on QuantConnect.com",
"og:image": "https://cdn.quantconnect.com/docs/i/writing-algorithms/indicators/supported-indicators/mc-ginley-dynamic.png"
}
}
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