{"id":44141,"date":"2026-06-22T22:09:13","date_gmt":"2026-06-23T03:09:13","guid":{"rendered":"https:\/\/library-staging.tradingtechnologies.com\/doc\/standard-deviation-2\/"},"modified":"2026-06-22T22:09:14","modified_gmt":"2026-06-23T03:09:14","slug":"standard-deviation-2","status":"publish","type":"doc","link":"https:\/\/library-staging.tradingtechnologies.com\/ja\/standard-deviation-2\/","title":{"rendered":"\u6a19\u6e96\u504f\u5dee"},"content":{"rendered":"<p class=\"BodyOther\">\u6a19\u6e96\u504f\u5dee (Standard Deviation) \u6307\u6a19\u306f\u3001\u3070\u3089\u3064\u304d\u3092\u6e2c\u5b9a\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u308b\u7d71\u8a08\u7684\u8a08\u7b97\u3067\u3059\u3002\u53d6\u5f15\u3067\u306f\u3001\u3053\u306e\u5024\u306f\u30dc\u30e9\u30c6\u30a3\u30ea\u30c6\u30a3\u3068\u3057\u3066\u77e5\u3089\u308c\u3066\u3044\u307e\u3059\u3002\u4f4e\u3044\u6a19\u6e96\u504f\u5dee\u306f\u3001\u30c7\u30fc\u30bf \u30dd\u30a4\u30f3\u30c8\u304c\u79fb\u52d5\u5e73\u5747\u306b\u8fd1\u3065\u304f\u50be\u5411\u304c\u3042\u308b\u3053\u3068\u3092\u793a\u3057\u3001\u9ad8\u3044\u6a19\u6e96\u504f\u5dee\u306f\u30c7\u30fc\u30bf \u30dd\u30a4\u30f3\u30c8\u304c\u5e83\u7bc4\u56f2\u306b\u3070\u3089\u3064\u304f\u50be\u5411\u304c\u3042\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/library-staging.tradingtechnologies.com\/wp-content\/uploads\/2026\/06\/standard-deviation-2.png\" alt=\"\"><\/p>\n<h2>Configuration Options<\/h2>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/library-staging.tradingtechnologies.com\/wp-content\/uploads\/2026\/06\/standard-deviation-3.png\" alt=\"\"><\/p>\n<ul>\n<li><strong>Period<\/strong> (\u30d4\u30ea\u30aa\u30c9): \u8a08\u7b97\u3067\u4f7f\u7528\u3055\u308c\u308b\u30d0\u30fc\u6570\u3002<\/li>\n<li>  \t<strong>\u6b04<\/strong>: \u5e73\u5747\u8a08\u7b97\u306e\u30d9\u30fc\u30b9\u306b\u4f7f\u7528\u3059\u308b\u4fa1\u683c\u3001\u307e\u305f\u306f\u4fa1\u683c\u306e\u7d44\u307f\u5408\u308f\u305b\u3002\u4ee5\u4e0b\u306e\u5024\u304c\u3042\u308a\u307e\u3059\u3002\n<ul>\n<li>Open (\u59cb\u5024)<\/li>\n<li>High (\u9ad8\u5024)<\/li>\n<li>Low (\u5b89\u5024)<\/li>\n<li>Close (\u7d42\u5024)<\/li>\n<li>Adjusted Close (\u8abf\u6574\u7d42\u5024)<\/li>\n<li>HL\/2 ( left ( frac{High + Low}{2} right ) )<\/li>\n<li>HLC\/3 ( left ( frac{High + Low + Close}{3} right ) )<\/li>\n<li>HLCC\/4 ( left ( frac{High + Low + Close + Close}{4} right ) )<\/li>\n<li>OHLC\/4 ( left ( frac{Open + High + Low + Close}{4} right ) )<\/li>\n<\/ul>\n<\/li>\n<li><strong>Standard Deviations<\/strong> (\u6a19\u6e96\u504f\u5dee): TBD<\/li>\n<li>  \t<strong>Moving Average Type<\/strong>: Type of moving average to use in the calculations:\n<ul hidden>\n<li><strong>Simple<\/strong>: Mean (average) of the data.<\/li>\n<li><strong>Exponential<\/strong>: Newer data are weighted more heavily geometrically.<\/li>\n<li><strong>Time Series<\/strong>: Calculates a linear regression trendline using the \u201cleast squares fit\u201d method.<\/li>\n<li><strong>Triangular<\/strong>: Weighted average where the middle data are given the most weight, decreasing linearly to the end points.<\/li>\n<li><strong>Variable<\/strong>: An exponential moving average with a volatility index factored into the smoothing formula.  The Variable Moving average uses the Chande Momentum Oscillator as the volatility index.<\/li>\n<li><strong>VIDYA<\/strong>: An exponential moving average with a volatility index factored into the smoothing formula.  The VIDYA moving average uses the Standard Deviation as the volatility index. (Volatility Index DYnamic Average).<\/li>\n<li><strong>Weighted<\/strong>: Newer data are weighted more heavily arithmetically.<\/li>\n<li><strong>Welles Winder<\/strong>:The standard exponential moving average formula converts the time period to a fraction using the formula EMA% = 2\/(n + 1) where n is the number of days. For example, the EMA% for 14 days is 2\/(14 days +1) = 13.3%. Wilder, however, uses an EMA% of 1\/14 (1\/n) which equals 7.1%. This equates to a 27-day exponential moving average using the standard formula.<\/li>\n<li><strong>Hull<\/strong>: The Hull Moving Average makes a moving average more responsive while maintaining a curve smoothness. The formula for calculating this average is as follows: HMA[i] = MA( (2*MA(input, period\/2) \u2013 MA(input, period)), SQRT(period)) where MA is a moving average and SQRT is square root.<\/li>\n<li><strong>Double Exponential<\/strong>: The Double Exponential moving average attempts to remove the inherent lag associated to Moving Averages by placing more weight on recent values.<\/li>\n<li><strong>Triple Exponential<\/strong>: TBD<\/li>\n<\/ul>\n<ul>\n<li>Simple<\/li>\n<li>Exponential<\/li>\n<li>Time Series<\/li>\n<li>Triangular<\/li>\n<li>Variable<\/li>\n<li>VIDYA<\/li>\n<li>Weighted<\/li>\n<li>Welles Winder<\/li>\n<li>Hull<\/li>\n<li>Double Exponential<\/li>\n<li>Triple Exponential<\/li>\n<\/ul>\n<\/li>\n<li><strong>Color Selectors<\/strong> (\u914d\u8272\u30bb\u30ec\u30af\u30bf\u30fc): \u30b0\u30e9\u30d5\u8981\u7d20\u306b\u4f7f\u7528\u3059\u308b\u914d\u8272\u3002<\/li>\n<li><strong>Display Axis Label<\/strong> (\u8ef8\u30e9\u30d9\u30eb\u306e\u8868\u793a): Y \u8ef8\u306b\u6700\u65b0\u5024\u3092\u8868\u793a\u3059\u308b\u304b\u3069\u3046\u304b\u3002<\/li>\n<\/ul>\n<p><a name=\"Formula\"><\/a><\/p>\n<h2 class=\"Blurb\">\u6570\u5f0f<\/h2>\n<p>[ s = sqrt frac{sum (X -bar X)^2}{(N-1)} ]<\/p>\n<p>\u8a72\u5f53:<\/p>\n<ul>\n<li>S = \u6a19\u6e96\u504f\u5dee<\/li>\n<li>X = \u30b5\u30f3\u30d7\u30eb\u306e\u5404\u5024<\/li>\n<li><span style=\"text-decoration:overline;\">X<\/span> = \u5024\u306e\u5e73\u5747<\/li>\n<li>N = \u5024\u306e\u6570 (\u30b5\u30f3\u30d7\u30eb \u30b5\u30a4\u30ba)<\/li>\n<\/ul>\n<p><!--\n<a name=\"Example\"><\/a>\n\n\n<h5 class=\"Blurb\">Example<\/h5>\n\n\n\n\n<p class=\"\">\n  <img decoding=\"async\" src=\"Content\/Technical_Indicator_Definitions142.jpg\">\n  \n  <\/img>\n<\/p>\n\n--><\/p>\n","protected":false},"excerpt":{"rendered":"<p class=\"BodyOther\">\u6a19\u6e96\u504f\u5dee (Standard Deviation) \u6307\u6a19\u306f\u3001\u3070\u3089\u3064\u304d\u3092\u6e2c\u5b9a\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u308b\u7d71\u8a08\u7684\u8a08\u7b97\u3067\u3059\u3002\u53d6\u5f15\u3067\u306f\u3001\u3053\u306e\u5024\u306f\u30dc\u30e9\u30c6\u30a3\u30ea\u30c6\u30a3\u3068\u3057\u3066\u77e5\u3089\u308c\u3066\u3044\u307e\u3059\u3002\u4f4e\u3044\u6a19\u6e96\u504f\u5dee\u306f\u3001\u30c7\u30fc\u30bf \u30dd\u30a4\u30f3\u30c8\u304c\u79fb\u52d5\u5e73\u5747\u306b\u8fd1\u3065\u304f\u50be\u5411\u304c\u3042\u308b\u3053\u3068\u3092\u793a\u3057\u3001\u9ad8\u3044\u6a19\u6e96\u504f\u5dee\u306f\u30c7\u30fc\u30bf \u30dd\u30a4\u30f3\u30c8\u304c\u5e83\u7bc4\u56f2\u306b\u3070\u3089\u3064\u304f\u50be\u5411\u304c\u3042\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/library-staging.tradingtechnologies.com\/wp-content\/uploads\/2026\/06\/standard-deviation-2.png\" alt=\"\"><\/p>\n<h2>Configuration Options<\/h2>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/library-staging.tradingtechnologies.com\/wp-content\/uploads\/2026\/06\/standard-deviation-3.png\" alt=\"\"><\/p>\n<ul>\n<li><strong>Period<\/strong> (\u30d4\u30ea\u30aa\u30c9): \u8a08\u7b97\u3067\u4f7f\u7528\u3055\u308c\u308b\u30d0\u30fc\u6570\u3002<\/li>\n<li>  \t<strong>\u6b04<\/strong>: \u5e73\u5747\u8a08\u7b97\u306e\u30d9\u30fc\u30b9\u306b\u4f7f\u7528\u3059\u308b\u4fa1\u683c\u3001\u307e\u305f\u306f\u4fa1\u683c\u306e\u7d44\u307f\u5408\u308f\u305b\u3002\u4ee5\u4e0b\u306e\u5024\u304c\u3042\u308a\u307e\u3059\u3002\n<ul>\n<li>Open (\u59cb\u5024)<\/li>\n<li>High (\u9ad8\u5024)<\/li>\n<li>Low (\u5b89\u5024)<\/li>\n<li>Close (\u7d42\u5024)<\/li>\n<li>Adjusted Close (\u8abf\u6574\u7d42\u5024)<\/li>\n<li>HL\/2 ( left ( frac{High + Low}{2} right ) )<\/li>\n<li>HLC\/3 ( left ( frac{High + Low + Close}{3} right ) )<\/li>\n<li>HLCC\/4 ( left ( frac{High + Low + Close + Close}{4} right ) )<\/li>\n<li>OHLC\/4 ( left ( frac{Open + High + Low + Close}{4} right ) )<\/li>\n<\/ul>\n<\/li>\n<li><strong>Standard Deviations<\/strong> (\u6a19\u6e96\u504f\u5dee): TBD<\/li>\n<li>  \t<strong>Moving Average Type<\/strong>: Type of moving average to use in the calculations:\n<ul hidden>\n<li><strong>Simple<\/strong>: Mean (average) of the data.<\/li>\n<li><strong>Exponential<\/strong>: Newer data are weighted more heavily geometrically.<\/li>\n<li><strong>Time Series<\/strong>: Calculates a linear regression trendline using the \u201cleast squares fit\u201d method.<\/li>\n<li><strong>Triangular<\/strong>: Weighted average where the middle data are given the most weight, decreasing linearly to the end points.<\/li>\n<li><strong>Variable<\/strong>: An exponential moving average with a volatility index factored into the smoothing formula.  The Variable Moving average uses the Chande Momentum Oscillator as the volatility index.<\/li>\n<li><strong>VIDYA<\/strong>: An exponential moving average with a volatility index factored into the smoothing formula.  The VIDYA moving average uses the Standard Deviation as the volatility index. (Volatility Index DYnamic Average).<\/li>\n<li><strong>Weighted<\/strong>: Newer data are weighted more heavily arithmetically.<\/li>\n<li><strong>Welles Winder<\/strong>:The standard exponential moving average formula converts the time period to a fraction using the formula EMA% = 2\/(n + 1) where n is the number of days. For example, the EMA% for 14 days is 2\/(14 days +1) = 13.3%. Wilder, however, uses an EMA% of 1\/14 (1\/n) which equals 7.1%. This equates to a 27-day exponential moving average using the standard formula.<\/li>\n<li><strong>Hull<\/strong>: The Hull Moving Average makes a moving average more responsive while maintaining a curve smoothness. The formula for calculating this average is as follows: HMA[i] = MA( (2*MA(input, period\/2) \u2013 MA(input, period)), SQRT(period)) where MA is a moving average and SQRT is square root.<\/li>\n<li><strong>Double Exponential<\/strong>: The Double Exponential moving average attempts to remove the inherent lag associated to Moving Averages by placing more weight on recent values.<\/li>\n<li><strong>Triple Exponential<\/strong>: TBD<\/li>\n<\/ul>\n<ul>\n<li>Simple<\/li>\n<li>Exponential<\/li>\n<li>Time Series<\/li>\n<li>Triangular<\/li>\n<li>Variable<\/li>\n<li>VIDYA<\/li>\n<li>Weighted<\/li>\n<li>Welles Winder<\/li>\n<li>Hull<\/li>\n<li>Double Exponential<\/li>\n<li>Triple Exponential<\/li>\n<\/ul>\n<\/li>\n<li><strong>Color Selectors<\/strong> (\u914d\u8272\u30bb\u30ec\u30af\u30bf\u30fc): \u30b0\u30e9\u30d5\u8981\u7d20\u306b\u4f7f\u7528\u3059\u308b\u914d\u8272\u3002<\/li>\n<li><strong>Display Axis Label<\/strong> (\u8ef8\u30e9\u30d9\u30eb\u306e\u8868\u793a): Y \u8ef8\u306b\u6700\u65b0\u5024\u3092\u8868\u793a\u3059\u308b\u304b\u3069\u3046\u304b\u3002<\/li>\n<\/ul>\n<p><a name=\"Formula\"><\/a><\/p>\n<h2 class=\"Blurb\">\u6570\u5f0f<\/h2>\n<p>[ s = sqrt frac{sum (X -bar X)^2}{(N-1)} ]<\/p>\n<p>\u8a72\u5f53:<\/p>\n<ul>\n<li>S = \u6a19\u6e96\u504f\u5dee<\/li>\n<li>X = \u30b5\u30f3\u30d7\u30eb\u306e\u5404\u5024<\/li>\n<li><span style=\"text-decoration:overline;\">X<\/span> = \u5024\u306e\u5e73\u5747<\/li>\n<li>N = \u5024\u306e\u6570 (\u30b5\u30f3\u30d7\u30eb \u30b5\u30a4\u30ba)<\/li>\n<\/ul>\n<p><!--\n<a name=\"Example\"><\/a>\n\n\n\n\n<h5 class=\"Blurb\">Example<\/h5>\n\n\n\n\n\n\n\n\n<p class=\"\">\n  <img decoding=\"async\" src=\"Content\/Technical_Indicator_Definitions142.jpg\">\n  \n  <\/img>\n<\/p>\n\n\n\n--><\/p>\n","protected":false},"author":2,"template":"","meta":{"_acf_changed":false,"footnotes":""},"docs-category":[375],"class_list":["post-44141","doc","type-doc","status-publish","hentry","docs-category-technical-indicators"],"acf":[],"_links":{"self":[{"href":"https:\/\/library-staging.tradingtechnologies.com\/ja\/wp-json\/wp\/v2\/doc\/44141","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/library-staging.tradingtechnologies.com\/ja\/wp-json\/wp\/v2\/doc"}],"about":[{"href":"https:\/\/library-staging.tradingtechnologies.com\/ja\/wp-json\/wp\/v2\/types\/doc"}],"author":[{"embeddable":true,"href":"https:\/\/library-staging.tradingtechnologies.com\/ja\/wp-json\/wp\/v2\/users\/2"}],"version-history":[{"count":0,"href":"https:\/\/library-staging.tradingtechnologies.com\/ja\/wp-json\/wp\/v2\/doc\/44141\/revisions"}],"wp:attachment":[{"href":"https:\/\/library-staging.tradingtechnologies.com\/ja\/wp-json\/wp\/v2\/media?parent=44141"}],"wp:term":[{"taxonomy":"docs-category","embeddable":true,"href":"https:\/\/library-staging.tradingtechnologies.com\/ja\/wp-json\/wp\/v2\/docs-category?post=44141"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}