fix: link not work (#3143)
Yun Zhao
GitHub
parent
7ae2c8630e
commit
737c9197ac
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@ -40,7 +40,7 @@ Aggregate, select, transform, and predict data with InfluxQL functions.
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* [ATAN2()](#atan2)
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* [CEIL()](#ceil)
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* [COS()](#cos)
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* [CUMULATIVE_SUM()](#cumulative-sum)
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* [CUMULATIVE_SUM()](#cumulative_sum)
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* [DERIVATIVE()](#derivative)
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* [DIFFERENCE()](#difference)
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* [ELAPSED()](#elapsed)
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@ -51,32 +51,32 @@ Aggregate, select, transform, and predict data with InfluxQL functions.
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* [LOG()](#log)
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* [LOG2()](#log2)
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* [LOG10()](#log10)
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* [MOVING_AVERAGE()](#moving-average)
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* [NON_NEGATIVE_DERIVATIVE()](#non-negative-derivative)
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* [NON_NEGATIVE_DIFFERENCE()](#non-negative-difference)
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* [MOVING_AVERAGE()](#moving_average)
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* [NON_NEGATIVE_DERIVATIVE()](#non_negative_derivative)
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* [NON_NEGATIVE_DIFFERENCE()](#non_negative_difference)
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* [POW()](#pow)
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* [ROUND()](#round)
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* [SIN()](#sin)
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* [SQRT()](#sqrt)
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* [TAN()](#tan)
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* [Predictors](#predictors)
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* [HOLT_WINTERS()](#holt-winters)
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* [HOLT_WINTERS()](#holt_winters)
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* [Technical Analysis](#technical-analysis)
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* [CHANDE_MOMENTUM_OSCILLATOR()](#chande-momentum-oscillator)
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* [EXPONENTIAL_MOVING_AVERAGE()](#exponential-moving-average)
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* [DOUBLE_EXPONENTIAL_MOVING_AVERAGE()](#double-exponential-moving-average)
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* [KAUFMANS_EFFICIENCY_RATIO()](#kaufmans-efficiency-ratio)
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* [KAUFMANS_ADAPTIVE_MOVING_AVERAGE()](#kaufmans-adaptive-moving-average)
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* [TRIPLE_EXPONENTIAL_MOVING_AVERAGE()](#triple-exponential-moving-average)
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* [TRIPLE_EXPONENTIAL_DERIVATIVE()](#triple-exponential-derivative)
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* [RELATIVE_STRENGTH_INDEX()](#relative-strength-index)
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* [CHANDE_MOMENTUM_OSCILLATOR()](#chande_momentum_oscillator)
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* [EXPONENTIAL_MOVING_AVERAGE()](#exponential_moving_average)
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* [DOUBLE_EXPONENTIAL_MOVING_AVERAGE()](#double_exponential_moving_average)
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* [KAUFMANS_EFFICIENCY_RATIO()](#kaufmans_efficiency_ratio)
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* [KAUFMANS_ADAPTIVE_MOVING_AVERAGE()](#kaufmans_adaptive_moving_average)
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* [TRIPLE_EXPONENTIAL_MOVING_AVERAGE()](#triple_exponential_moving_average)
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* [TRIPLE_EXPONENTIAL_DERIVATIVE()](#triple_exponential_derivative)
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* [RELATIVE_STRENGTH_INDEX()](#relative_strength_index)
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* [Other](#other)
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* [Sample Data](#sample-data)
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* [General Syntax for Functions](#general-syntax-for-functions)
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* [Specify Multiple Functions in the SELECT clause](#specify-multiple-functions-in-the-select-clause)
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* [Rename the Output Field Key](#rename-the-output-field-key)
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* [Change the Values Reported for Intervals with no Data](#change-the-values-reported-for-intervals-with-no-data)
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* [Common Issues with Functions](#common-issues-with-functions)
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* [Sample Data](#sample_data)
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* [General Syntax for Functions](#general_syntax_for_functions)
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* [Specify Multiple Functions in the SELECT clause](#specify_multiple_functions_in_the_select_clause)
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* [Rename the Output Field Key](#rename_the_output_field_key)
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* [Change the Values Reported for Intervals with no Data](#change_the_values_reported_for_intervals_with_no_data)
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* [Common Issues with Functions](#common_issues_with_functions)
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## Aggregations
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@ -6303,14 +6303,14 @@ The following technical analysis functions apply widely used algorithms to your
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While they are primarily used in the world of finance and investing, they have
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application in other industries and use cases as well.
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[CHANDE_MOMENTUM_OSCILLATOR()](#chande-momentum-oscillator)
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[EXPONENTIAL_MOVING_AVERAGE()](#exponential-moving-average)
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[DOUBLE_EXPONENTIAL_MOVING_AVERAGE()](#double-exponential-moving-average)
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[KAUFMANS_EFFICIENCY_RATIO()](#kaufmans-efficiency-ratio)
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[KAUFMANS_ADAPTIVE_MOVING_AVERAGE()](#kaufmans-adaptive-moving-average)
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[TRIPLE_EXPONENTIAL_MOVING_AVERAGE()](#triple-exponential-moving-average)
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[TRIPLE_EXPONENTIAL_DERIVATIVE()](#triple-exponential-derivative)
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[RELATIVE_STRENGTH_INDEX()](#relative-strength-index)
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[CHANDE_MOMENTUM_OSCILLATOR()](#chande_momentum_oscillator)
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[EXPONENTIAL_MOVING_AVERAGE()](#exponential_moving_average)
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[DOUBLE_EXPONENTIAL_MOVING_AVERAGE()](#double_exponential_moving_average)
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[KAUFMANS_EFFICIENCY_RATIO()](#kaufmans_efficiency_ratio)
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[KAUFMANS_ADAPTIVE_MOVING_AVERAGE()](#kaufmans_adaptive_moving_average)
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[TRIPLE_EXPONENTIAL_MOVING_AVERAGE()](#triple_exponential_moving_average)
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[TRIPLE_EXPONENTIAL_DERIVATIVE()](#triple_exponential_derivative)
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[RELATIVE_STRENGTH_INDEX()](#relative_strength_index)
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### Arguments
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@ -6341,23 +6341,23 @@ and the `WARMUP_TYPE`, but is a value in which the algorithm can emit meaningful
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_**Default Hold Periods:**_
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For most of the available technical analysis, the default `HOLD_PERIOD` is
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determined by which technical analysis algorithm you're using and the [`WARMUP_TYPE`](#warmup-type)
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determined by which technical analysis algorithm you're using and the [`WARMUP_TYPE`](#warmup_type)
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| Algorithm \ Warmup Type | simple | exponential | none |
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| --------------------------------- | ---------------------- | ----------- |:----------: |
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| [EXPONENTIAL_MOVING_AVERAGE](#exponential-moving-average) | PERIOD - 1 | PERIOD - 1 | <span style="opacity:.35">n/a</span> |
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| [DOUBLE_EXPONENTIAL_MOVING_AVERAGE](#double-exponential-moving-average) | ( PERIOD - 1 ) * 2 | PERIOD - 1 | <span style="opacity:.35">n/a</span> |
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| [TRIPLE_EXPONENTIAL_MOVING_AVERAGE](#triple-exponential-moving-average) | ( PERIOD - 1 ) * 3 | PERIOD - 1 | <span style="opacity:.35">n/a</span> |
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| [TRIPLE_EXPONENTIAL_DERIVATIVE](#triple-exponential-derivative) | ( PERIOD - 1 ) * 3 + 1 | PERIOD | <span style="opacity:.35">n/a</span> |
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| [RELATIVE_STRENGTH_INDEX](#relative-strength-index) | PERIOD | PERIOD | <span style="opacity:.35">n/a</span> |
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| [CHANDE_MOMENTUM_OSCILLATOR](#chande-momentum-oscillator) | PERIOD | PERIOD | PERIOD - 1 |
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| [EXPONENTIAL_MOVING_AVERAGE](#exponential_moving_average) | PERIOD - 1 | PERIOD - 1 | <span style="opacity:.35">n/a</span> |
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| [DOUBLE_EXPONENTIAL_MOVING_AVERAGE](#double_exponential_moving_average) | ( PERIOD - 1 ) * 2 | PERIOD - 1 | <span style="opacity:.35">n/a</span> |
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| [TRIPLE_EXPONENTIAL_MOVING_AVERAGE](#triple_exponential_moving_average) | ( PERIOD - 1 ) * 3 | PERIOD - 1 | <span style="opacity:.35">n/a</span> |
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| [TRIPLE_EXPONENTIAL_DERIVATIVE](#triple_exponential_derivative) | ( PERIOD - 1 ) * 3 + 1 | PERIOD | <span style="opacity:.35">n/a</span> |
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| [RELATIVE_STRENGTH_INDEX](#relative_strength_index) | PERIOD | PERIOD | <span style="opacity:.35">n/a</span> |
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| [CHANDE_MOMENTUM_OSCILLATOR](#chande_momentum_oscillator) | PERIOD | PERIOD | PERIOD - 1 |
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_**Kaufman Algorithm Default Hold Periods:**_
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| Algorithm | Default Hold Period |
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| --------- | ------------------- |
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| [KAUFMANS_EFFICIENCY_RATIO()](#kaufmans-efficiency-ratio) | PERIOD |
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| [KAUFMANS_ADAPTIVE_MOVING_AVERAGE()](#kaufmans-adaptive-moving-average) | PERIOD |
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| [KAUFMANS_EFFICIENCY_RATIO()](#kaufmans_efficiency_ratio) | PERIOD |
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| [KAUFMANS_ADAPTIVE_MOVING_AVERAGE()](#kaufmans_adaptive_moving_average) | PERIOD |
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#### `WARMUP_TYPE`
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@ -6385,7 +6385,7 @@ When this method is used and `HOLD_PERIOD` is unspecified, `HOLD_PERIOD`
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defaults to `PERIOD - 1`.
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> The `none` warmup type is only available with the
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> [`CHANDE_MOMENTUM_OSCILLATOR()`](#chande-momentum-oscillator) function.
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> [`CHANDE_MOMENTUM_OSCILLATOR()`](#chande_momentum_oscillator) function.
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### CHANDE_MOMENTUM_OSCILLATOR()
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@ -6405,8 +6405,8 @@ CHANDE_MOMENTUM_OSCILLATOR([ * | <field_key> | /regular_expression/ ], <period>[
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**Available Arguments:**
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[period](#period)
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[hold_period](#hold-period) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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[warmup_type](#warmup-type) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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[hold_period](#hold_period) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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[warmup_type](#warmup_type) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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`CHANDE_MOMENTUM_OSCILLATOR(field_key, 2)`
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Returns the field values associated with the [field key](/influxdb/v1.8/concepts/glossary/#field-key)
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@ -6444,7 +6444,7 @@ See the [Advanced Syntax](#advanced-syntax) section for how to use `CHANDE_MOMEN
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### EXPONENTIAL_MOVING_AVERAGE()
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An exponential moving average (EMA) is a type of moving average that is similar
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to a [simple moving average](#moving-average), except that more weight is given to the latest data.
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to a [simple moving average](#moving_average), except that more weight is given to the latest data.
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It's also known as the "exponentially weighted moving average."
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This type of moving average reacts faster to recent data changes than a simple moving average.
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@ -6459,8 +6459,8 @@ EXPONENTIAL_MOVING_AVERAGE([ * | <field_key> | /regular_expression/ ], <period>[
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**Available Arguments:**
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[period](#period)
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[hold_period](#hold-period) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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[warmup_type](#warmup-type) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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[hold_period](#hold_period) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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[warmup_type](#warmup_type) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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`EXPONENTIAL_MOVING_AVERAGE(field_key, 2)`
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Returns the field values associated with the [field key](/influxdb/v1.8/concepts/glossary/#field-key)
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@ -6500,7 +6500,7 @@ See the [Advanced Syntax](#advanced-syntax) section for how to use `EXPONENTIAL_
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The Double Exponential Moving Average (DEMA) attempts to remove the inherent lag
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associated to Moving Averages by placing more weight on recent values.
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The name suggests this is achieved by applying a double exponential smoothing which is not the case.
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The name double comes from the fact that the value of an [EMA](#exponential-moving-average) is doubled.
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The name double comes from the fact that the value of an [EMA](#exponential_moving_average) is doubled.
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To keep it in line with the actual data and to remove the lag, the value "EMA of EMA"
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is subtracted from the previously doubled EMA.
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@ -6515,8 +6515,8 @@ DOUBLE_EXPONENTIAL_MOVING_AVERAGE([ * | <field_key> | /regular_expression/ ], <p
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**Available Arguments:**
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[period](#period)
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[hold_period](#hold-period) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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[warmup_type](#warmup-type) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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[hold_period](#hold_period) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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[warmup_type](#warmup_type) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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`DOUBLE_EXPONENTIAL_MOVING_AVERAGE(field_key, 2)`
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Returns the field values associated with the [field key](/influxdb/v1.8/concepts/glossary/#field-key)
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@ -6573,7 +6573,7 @@ KAUFMANS_EFFICIENCY_RATIO([ * | <field_key> | /regular_expression/ ], <period>[,
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**Available Arguments:**
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[period](#period)
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[hold_period](#hold-period) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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[hold_period](#hold_period) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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`KAUFMANS_EFFICIENCY_RATIO(field_key, 2)`
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Returns the field values associated with the [field key](/influxdb/v1.8/concepts/glossary/#field-key)
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@ -6627,7 +6627,7 @@ KAUFMANS_ADAPTIVE_MOVING_AVERAGE([ * | <field_key> | /regular_expression/ ], <pe
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**Available Arguments:**
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[period](#period)
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[hold_period](#hold-period) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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[hold_period](#hold_period) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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`KAUFMANS_ADAPTIVE_MOVING_AVERAGE(field_key, 2)`
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Returns the field values associated with the [field key](/influxdb/v1.8/concepts/glossary/#field-key)
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@ -6667,8 +6667,8 @@ See the [Advanced Syntax](#advanced-syntax) section for how to use `KAUFMANS_ADA
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The triple exponential moving average (TEMA) was developed to filter out
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volatility from conventional moving averages.
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While the name implies that it's a triple exponential smoothing, it's actually a
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composite of a [single exponential moving average](#exponential-moving-average),
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a [double exponential moving average](#double-exponential-moving-average),
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composite of a [single exponential moving average](#exponential_moving_average),
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a [double exponential moving average](#double_exponential_moving_average),
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and a triple exponential moving average.
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<sup style="line-height:0; font-size:.7rem; font-style:italic; font-weight:normal;"><a href="https://www.investopedia.com/terms/t/triple-exponential-moving-average.asp " target="\_blank">Source</a>
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@ -6682,8 +6682,8 @@ TRIPLE_EXPONENTIAL_MOVING_AVERAGE([ * | <field_key> | /regular_expression/ ], <p
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**Available Arguments:**
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[period](#period)
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[hold_period](#hold-period) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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[warmup_type](#warmup-type) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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[hold_period](#hold_period) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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[warmup_type](#warmup_type) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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`TRIPLE_EXPONENTIAL_MOVING_AVERAGE(field_key, 2)`
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Returns the field values associated with the [field key](/influxdb/v1.8/concepts/glossary/#field-key)
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@ -6746,8 +6746,8 @@ TRIPLE_EXPONENTIAL_DERIVATIVE([ * | <field_key> | /regular_expression/ ], <perio
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**Available Arguments:**
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[period](#period)
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[hold_period](#hold-period) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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[warmup_type](#warmup-type) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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[hold_period](#hold_period) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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[warmup_type](#warmup_type) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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`TRIPLE_EXPONENTIAL_DERIVATIVE(field_key, 2)`
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Returns the field values associated with the [field key](/influxdb/v1.8/concepts/glossary/#field-key)
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@ -6797,8 +6797,8 @@ RELATIVE_STRENGTH_INDEX([ * | <field_key> | /regular_expression/ ], <period>[, <
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**Available Arguments:**
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[period](#period)
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[hold_period](#hold-period) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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[warmup_type](#warmup-type) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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[hold_period](#hold_period) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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[warmup_type](#warmup_type) <span style="font-size:.8rem; font-style:italic;">(Optional)</span>
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`RELATIVE_STRENGTH_INDEX(field_key, 2)`
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Returns the field values associated with the [field key](/influxdb/v1.8/concepts/glossary/#field-key)
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@ -6883,7 +6883,7 @@ The query returns the [mode](#mode) field values for the `water_level` field key
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The `water_level` mode is in the `mode` column and the `level description` mode is in the `mode_1` column.
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The system can't return more than one column with the same name so it renames the second `mode` column to `mode_1`.
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See [Rename the Output Field Key](#rename-the-output-field-key) for how to configure the output column headers.
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See [Rename the Output Field Key](#rename_the_output_field_key) for how to configure the output column headers.
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###### Calculate the minimum and maximum field values in one query
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@ -7003,13 +7003,13 @@ See the function-specific documentation for common issues with individual functi
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Some InfluxQL functions support nesting in the [`SELECT` clause](/influxdb/v1.8/query_language/explore-data/#select-clause):
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* [`COUNT()`](#count) with [`DISTINCT()`](#distinct)
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* [`CUMULATIVE_SUM()`](#cumulative-sum)
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* [`CUMULATIVE_SUM()`](#cumulative_sum)
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* [`DERIVATIVE()`](#derivative)
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* [`DIFFERENCE()`](#difference)
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* [`ELAPSED()`](#elapsed)
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* [`MOVING_AVERAGE()`](#moving-average)
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* [`NON_NEGATIVE_DERIVATIVE()`](#non-negative-derivative)
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* [`HOLT_WINTERS()`](#holt-winters) and [`HOLT_WINTERS_WITH_FIT()`](#holt-winters)
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* [`MOVING_AVERAGE()`](#moving_average)
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* [`NON_NEGATIVE_DERIVATIVE()`](#non_negative_derivative)
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* [`HOLT_WINTERS()`](#holt_winters) and [`HOLT_WINTERS_WITH_FIT()`](#holt_winters)
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For other functions, use InfluxQL's [subqueries](/influxdb/v1.8/query_language/explore-data/#subqueries) to nest functions in the [`FROM` clause](/influxdb/v1.8/query_language/explore-data/#from-clause).
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See the [Data Exploration](/influxdb/v1.8/query_language/explore-data/#subqueries) page more on using subqueries.
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