{"id":45418,"date":"2026-06-22T22:26:47","date_gmt":"2026-06-23T03:26:47","guid":{"rendered":"https:\/\/library-staging.tradingtechnologies.com\/doc\/bollinger-bandwidth-2\/"},"modified":"2026-06-22T22:26:48","modified_gmt":"2026-06-23T03:26:48","slug":"bollinger-bandwidth-2","status":"publish","type":"doc","link":"https:\/\/library-staging.tradingtechnologies.com\/ja\/bollinger-bandwidth-2\/","title":{"rendered":"\u30dc\u30ea\u30f3\u30b8\u30e3\u30fc \u30d0\u30f3\u30c9\u5e45 (BB)"},"content":{"rendered":"<p class=\"BodyOther\">\u30dc\u30ea\u30f3\u30b8\u30e3\u30fc \u30d0\u30f3\u30c9\u5e45 (Bollinger Bandwidth) \u6307\u6a19\u306f\u3001\u9650\u6708\u306e\u4fa1\u683c\u306e\u65b9\u5411\u304c\u79fb\u52d5\u3057\u3088\u3046\u3068\u3059\u308b\u72b6\u6cc1\u3092\u8b58\u5225\u3057\u307e\u3059\u3002<a href=\"chrt-ti-bollinger-bands.html\">\u30dc\u30ea\u30f3\u30b8\u30e3\u30fc \u30d0\u30f3\u30c9<\/a> \u306f\u3001\u79fb\u52d5\u5e73\u5747\u306e\u4e0a\u3068\u4e0b\u306e\u6a19\u6e96\u504f\u5dee\u306e\u6570\u3092\u63cf\u753b\u3059\u308b\u30a8\u30f3\u30d9\u30ed\u30fc\u30d7\u3092\u5f62\u6210\u3057\u307e\u3059\u3002\u30d0\u30f3\u30c9\u5e45\u306f\u4e0a\u90e8\u30d0\u30f3\u30c9\u3068\u4e0b\u90e8\u30d0\u30f3\u30c9\u306e\u9593\u306e\u30d1\u30fc\u30bb\u30f3\u30c8\u6570\u3092\u6e2c\u5b9a\u3057\u3001\u30dc\u30e9\u30c6\u30a3\u30ea\u30c6\u30a3\u306b\u6307\u793a\u3092\u3082\u305f\u3089\u3057\u307e\u3059\u3002<\/p>\n<p><!--\n\n\n<p>The first step is to determine what constitutes narrow and wide bands for a particular instrument. Bandwidth must be judged in comparison to recent history as well as in context to a longer period of time. Therefore, there is not one level of bandwidth that is considered to be narrow or wide for all instruments and all times. This is similar to determining what it overbought or oversold with non-indexed momentum indicators such as <a href=\"chrt-ti-macd.html\">MACD<\/a>.<\/p>\n\n\n\n\n\n<p>John Bollinger postulated that volatility cycles from high to low and therefore Bollinger Bands also tend to expand and contract. Often times, traders can get advance warning to a breakout from a flat period of trading when the bands start to expand. However, the direction of the breakout is not determined by band expansion alone. For that, traders must wait for prices to move above or below the bands to indicate the breakout in that direction.<\/p>\n\n\n--> <\/p>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/library-staging.tradingtechnologies.com\/wp-content\/uploads\/2026\/06\/bollinger-bandwidth-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-bandwidth-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>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>\u901a\u5e38\u3001\u30d0\u30f3\u30c9\u5e45\u30d1\u30e9\u30e1\u30fc\u30bf\u306f\u3001\u30e6\u30fc\u30b6\u30fc\u306e\u597d\u307f\u306e\u30dc\u30ea\u30f3\u30b8\u30e3\u30fc \u30d0\u30f3\u30c9 \u30d1\u30e9\u30e1\u30fc\u30bf\u3068\u4e00\u81f4\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p><a name=\"Formula\"><\/a><\/p>\n<h2 class=\"Blurb\">\u6570\u5f0f<\/h2>\n<p hidden>Bollinger Bandwidth = (Upper Band  \u2013  Lower Band) \/ Central Moving Average * 100<\/p>\n<p>[Bollinger;Bandwidth = frac{(Upper;Band &#8211; Lower;Band)}{Central;Moving;Average} times 100 ]<\/p>\n<p><!--\n<a name=\"Example\"><\/a>\n\n\n<h5 class=\"Blurb\">Example<\/h5>\n\n\n\n\n<p class=\"\">\n\t<img decoding=\"async\" src=\"Content\/Technical_Indicator_Definitions142.jpg\">\n\t\n\t<\/img>\n<\/p>\n\n--><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u30dc\u30ea\u30f3\u30b8\u30e3\u30fc \u30d0\u30f3\u30c9\u5e45 (Bollinger Bandwidth) \u6307\u6a19\u306f\u3001\u9650\u6708\u306e\u4fa1\u683c\u306e\u65b9\u5411\u304c\u79fb\u52d5\u3057\u3088\u3046\u3068\u3059\u308b\u72b6\u6cc1\u3092\u8b58\u5225\u3057\u307e\u3059\u3002\u30dc\u30ea\u30f3\u30b8\u30e3\u30fc \u30d0\u30f3\u30c9 \u306f\u3001\u79fb\u52d5\u5e73\u5747\u306e\u4e0a\u3068\u4e0b\u306e\u6a19\u6e96\u504f\u5dee\u306e\u6570\u3092\u63cf\u753b\u3059\u308b\u30a8\u30f3\u30d9\u30ed\u30fc\u30d7\u3092\u5f62\u6210\u3057\u307e\u3059\u3002 [&hellip;]<\/p>\n","protected":false},"author":2,"template":"","meta":{"_acf_changed":false,"footnotes":""},"docs-category":[375],"class_list":["post-45418","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\/45418","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\/45418\/revisions"}],"wp:attachment":[{"href":"https:\/\/library-staging.tradingtechnologies.com\/ja\/wp-json\/wp\/v2\/media?parent=45418"}],"wp:term":[{"taxonomy":"docs-category","embeddable":true,"href":"https:\/\/library-staging.tradingtechnologies.com\/ja\/wp-json\/wp\/v2\/docs-category?post=45418"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}