{"id":45556,"date":"2026-06-22T22:29:02","date_gmt":"2026-06-23T03:29:02","guid":{"rendered":"https:\/\/library-staging.tradingtechnologies.com\/doc\/negative-volume-index-2\/"},"modified":"2026-06-22T22:29:03","modified_gmt":"2026-06-23T03:29:03","slug":"negative-volume-index-2","status":"publish","type":"doc","link":"https:\/\/library-staging.tradingtechnologies.com\/ja\/negative-volume-index-2\/","title":{"rendered":"\u8ca0\u306e\u53d6\u5f15\u9ad8\u6307\u6570 (NVI)"},"content":{"rendered":"<p><!--\n\n\n<p class=\"BodyOther\">The Negative Volume Index indicator tracks price data on days when trading volumes (total number of transactions in an asset) show declines when compared to the previous day.  The central idea behind the indicator is that when volume is high, the &acirc;&euro;&oelig;uninformed&acirc;&euro; majority is pushing the current trend higher in a bull market (or lower during a bear market). This activity from the unsophisticated section of the market is a reversal signal as the trend is likely to be at its exhaustion point. Conversely, during days of low volume, the &acirc;&euro;&oelig;smart&acirc;&euro; money is thought to be moving into positions that will define the next wave of trend activity.<\/p>\n\n\n--><\/p>\n<p>NVI (\u8ca0\u306e\u53d6\u5f15\u9ad8\u6307\u6570)\u3001\u304a\u3088\u3073 <a href=\"chrt-ti-positive-volume-index.html\">PVI <\/a> (\u6b63\u306e\u53d6\u5f15\u9ad8\u6307\u6570) \u306f\u3001\u9298\u67c4\u306e\u53d6\u5f15\u6570\u306e\u5909\u66f4\u3084\u53d6\u5f15\u51fa\u6765\u9ad8\u3092\u8ffd\u8de1\u3057\u307e\u3059\u3002\u6e1b\u5c11\u306e\u53d6\u5f15\u9ad8\u3067\u306e\u4fa1\u683c\u5909\u5316\u306f\u3001\u6b63\u306e\u53d6\u5f15\u9ad8\u6307\u6570\u3068\u898b\u306a\u3055\u308c\u3001\u5897\u52a0\u306e\u53d6\u5f15\u9ad8\u3067\u306e\u4fa1\u683c\u5909\u5316\u306f\u8ca0\u306e\u53d6\u5f15\u9ad8\u6307\u6570\u3068\u898b\u306a\u3055\u308c\u307e\u3059\u3002\u3053\u306e\u6307\u6a19\u306e\u610f\u56f3\u3068\u3057\u3066\u3001\u53d6\u5f15\u9ad8\u304c\u6e1b\u5c11\u3059\u308b\u3068\u3001\u60c5\u5831\u306b\u901a\u3058\u305f\u30c8\u30ec\u30fc\u30c0\u30fc\u304c\u95a2\u308f\u3063\u3066\u3044\u308b\u3068\u3044\u3046\u3053\u3068\u3092\u793a\u3057\u3001\u53d6\u5f15\u9ad8\u304c\u5897\u52a0\u3059\u308b\u3068\u3001\u5927\u52e2\u306b\u5f93\u3046\u3068\u3044\u3046\u5fc3\u7406\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>MVI \u306f\u3001\u300c\u8ce2\u3044\u304a\u91d1\u300d\u304c\u3069\u3046\u52d5\u3044\u3066\u3044\u308b\u304b\u3092\u8868\u3057\u3001PVI \u306f\u300c\u8ce2\u304f\u306a\u3044\u304a\u91d1\u300d\u304c\u3069\u3046\u52d5\u3044\u3066\u3044\u308b\u304b\u3092\u8ffd\u8de1\u3057\u307e\u3059\u3002<\/p>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/library-staging.tradingtechnologies.com\/wp-content\/uploads\/2026\/06\/negative-volume-index-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\/negative-volume-index-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>  \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>Period<\/strong> (\u30d4\u30ea\u30aa\u30c9): \u8a08\u7b97\u3067\u4f7f\u7528\u3055\u308c\u308b\u30d0\u30fc\u6570\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<h2>\u6570\u5f0f<\/h2>\n<p hidden><img decoding=\"async\" src=\"https:\/\/library-staging.tradingtechnologies.com\/wp-content\/uploads\/2026\/06\/pvi-formula-2.gif\" alt=\"\"><\/p>\n<p>\u8ca0\u306e\u51fa\u6765\u9ad8\u6307\u6570\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002<\/p>\n<ul>\n<li>\u4eca\u65e5\u306e\u51fa\u6765\u9ad8\u304c\u524d\u65e5\u306e\u51fa\u6765\u9ad8\u3088\u308a\u5c11\u306a\u3044\u5834\u5408: [ NVI = NVI_text{yesterday} + left( frac {FieldPrice &#8211; FieldPrice_text{yesterday}}{FieldPrice_text{yesterday}} times NVI_text{yesterday} right )]<\/li>\n<li>\u305d\u308c\u4ee5\u5916: [ NVI = NVI_text{yesterday} ]<\/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>NVI (\u8ca0\u306e\u53d6\u5f15\u9ad8\u6307\u6570)\u3001\u304a\u3088\u3073 PVI (\u6b63\u306e\u53d6\u5f15\u9ad8\u6307\u6570) \u306f\u3001\u9298\u67c4\u306e\u53d6\u5f15\u6570\u306e\u5909\u66f4\u3084\u53d6\u5f15\u51fa\u6765\u9ad8\u3092\u8ffd\u8de1\u3057\u307e\u3059\u3002\u6e1b\u5c11\u306e\u53d6\u5f15\u9ad8\u3067\u306e\u4fa1\u683c\u5909\u5316\u306f\u3001\u6b63\u306e\u53d6\u5f15\u9ad8\u6307\u6570\u3068\u898b\u306a\u3055\u308c\u3001\u5897\u52a0\u306e\u53d6\u5f15\u9ad8\u3067\u306e\u4fa1\u683c\u5909\u5316\u306f\u8ca0\u306e\u53d6\u5f15\u9ad8\u6307\u6570\u3068\u898b\u306a\u3055\u308c\u307e\u3059 [&hellip;]<\/p>\n","protected":false},"author":2,"template":"","meta":{"_acf_changed":false,"footnotes":""},"docs-category":[375],"class_list":["post-45556","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\/45556","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\/45556\/revisions"}],"wp:attachment":[{"href":"https:\/\/library-staging.tradingtechnologies.com\/ja\/wp-json\/wp\/v2\/media?parent=45556"}],"wp:term":[{"taxonomy":"docs-category","embeddable":true,"href":"https:\/\/library-staging.tradingtechnologies.com\/ja\/wp-json\/wp\/v2\/docs-category?post=45556"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}