{"id":44132,"date":"2026-06-22T22:09:06","date_gmt":"2026-06-23T03:09:06","guid":{"rendered":"https:\/\/library-staging.tradingtechnologies.com\/doc\/bollinger-bands-2\/"},"modified":"2026-06-22T22:09:07","modified_gmt":"2026-06-23T03:09:07","slug":"bollinger-bands-2","status":"publish","type":"doc","link":"https:\/\/library-staging.tradingtechnologies.com\/ja\/bollinger-bands-2\/","title":{"rendered":"\u30dc\u30ea\u30f3\u30b8\u30e3\u30fc \u30d0\u30f3\u30c9 (BB)"},"content":{"rendered":"<p><!--\n\n\n<p class=\"BodyOther\">The Bollinger Bands are used to find market turning points, potential trading range breakouts, and trend exhaustion. The bands form an envelope drawn a number of standard deviations above and below a moving average. The Bollinger Band study created by John Bollinger plots upper and lower volatility bands around the price of the instrument. The width of the bands are based on the standard deviation of the user defined price from a moving average of n-periods.<\/p>\n\n\n--><\/p>\n<p>\u30dc\u30ea\u30f3\u30b8\u30e3\u30fc \u30d0\u30f3\u30c9 (BB\u3001Bollinger Band) \u306f\u3001\u30b8\u30e7\u30f3\u30fb\u30dc\u30ea\u30f3\u30b8\u30e3\u30fc (John Bollinger) \u304c\u8003\u6848\u3057\u305f\u5206\u6790\u624b\u6cd5\u3067\u3001\u9298\u67c4\u306e\u79fb\u52d5\u5e73\u5747\u7dda\u3092\u4e2d\u592e\u306b\u3001\u4e0a\u90e8\u3068\u4e0b\u90e8\u306b\u30a8\u30f3\u30d9\u30ed\u30c3\u30d7\u3092\u63cf\u7dda\u3057\u307e\u3059\u3002\u30d0\u30f3\u30c9\u5e45\u306f\u3001\u7d42\u5024\u306e\u79fb\u52d5\u5e73\u5747\u304b\u3089\u306e\u6a19\u6e96\u504f\u5dee\u306b\u57fa\u3065\u3044\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\/bollinger-bands-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\/bollinger-bands-3.png\" alt=\"\"><\/p>\n<ul>\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>Period<\/strong> (\u30d4\u30ea\u30aa\u30c9): \u8a08\u7b97\u3067\u4f7f\u7528\u3055\u308c\u308b\u30d0\u30fc\u6570\u3002<\/li>\n<li><strong>Standard Deviations<\/strong> (\u6a19\u6e96\u504f\u5dee): \u30d0\u30f3\u30c9\u3092\u63cf\u753b\u3059\u308b\u5e73\u5747\u3088\u308a\u4e0a\u3068\u4e0b\u306e\u6a19\u6e96\u504f\u5dee\u6570\u3002<\/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>Channel Fill<\/strong> (\u30c1\u30e3\u30cd\u30eb \u30d5\u30a3\u30eb): \u4e0a\u90e8\u30d0\u30f3\u30c9\u3068\u4e0b\u90e8\u30d0\u30f3\u30c9\u9593\u306e\u90e8\u5206\u3092\u7db2\u639b\u3051\u8868\u793a\u3059\u308b\u304b\u3069\u3046\u304b\u3092\u6c7a\u5b9a\u3057\u307e\u3059\u3002<\/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 class=\"BodyChapterLevel\">[Middle;Band = ntext{-}period;moving;average]<\/p>\n<p class=\"BodyChapterLevel\">[Upper;Band = Middle;Band;+;left ( y times ntext{-}period;Standard;Deviationright ) ]<\/p>\n<p class=\"BodyChapterLevel\">[Lower;Band = Middle;Band;-;left ( y times ntext{-}period;Standard;Deviationright ) ]<\/p>\n<p class=\"BodyChapterLevel\">\u8a72\u5f53:<\/p>\n<p>[ Standard;Deviation = sqrt{d}]<\/p>\n<p>\u3068<\/p>\n<p>[ d = frac{(P_{1}-MA)^{2}+(P_{2}-MA)^{2}+&#8230;+(P_{n}-MA)^{2}}{n}]<\/p>\n<p>\u8a72\u5f53\u6642<\/p>\n<p>[ P_{n} =;the;user;defined;bar;value;of;the;n^{th};bar]<\/p>\n<p>[ MA =;the;user;defined;ntext{-}period;moving;average]<\/p>\n<p><!-- do this later\n<a name=\"Example\"><\/a>\n        \n\n<h5 class=\"Blurb\">Example<\/h5>\n\n\n\n\n<p class=\"BodyOther\">\n          <img decoding=\"async\" src=\"Content\/Technical_Indicator_Definitions151.jpg\">\n            \n          \n          <\/img>\n        <\/p>\n\n\n      <\/div>\n\n\n    <\/div>\n\n--><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u30dc\u30ea\u30f3\u30b8\u30e3\u30fc \u30d0\u30f3\u30c9 (BB\u3001Bollinger Band) \u306f\u3001\u30b8\u30e7\u30f3\u30fb\u30dc\u30ea\u30f3\u30b8\u30e3\u30fc (John Bollinger) \u304c\u8003\u6848\u3057\u305f\u5206\u6790\u624b\u6cd5\u3067\u3001\u9298\u67c4\u306e\u79fb\u52d5\u5e73\u5747\u7dda\u3092\u4e2d\u592e\u306b\u3001\u4e0a\u90e8\u3068\u4e0b\u90e8\u306b\u30a8\u30f3\u30d9\u30ed\u30c3\u30d7\u3092\u63cf\u7dda\u3057\u307e\u3059\u3002\u30d0\u30f3\u30c9\u5e45\u306f\u3001 [&hellip;]<\/p>\n","protected":false},"author":2,"template":"","meta":{"_acf_changed":false,"footnotes":""},"docs-category":[375],"class_list":["post-44132","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\/44132","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\/44132\/revisions"}],"wp:attachment":[{"href":"https:\/\/library-staging.tradingtechnologies.com\/ja\/wp-json\/wp\/v2\/media?parent=44132"}],"wp:term":[{"taxonomy":"docs-category","embeddable":true,"href":"https:\/\/library-staging.tradingtechnologies.com\/ja\/wp-json\/wp\/v2\/docs-category?post=44132"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}