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Intraday Intensity Percent (IIP) by CoryP1990 – Quant Toolkit

The Intraday Intensity Percent (IIP) quantifies buying vs. selling pressure within each bar by combining price position inside the range and trading volume. It’s essentially a volume-weighted order-flow indicator, showing whether volume concentrates near highs (buying pressure) or lows (selling pressure).
How it works
Computes the Intraday Intensity (II) = ((Close − Low) − (High − Close)) / (High − Low) × Volume.
Then compares total “intensity” to total volume over a look-back window to produce a normalized percentage.
Lime line: IIP rising → accumulation / increasing buy pressure.
Red line: IIP falling → distribution / increasing sell pressure.
Background: Green tint = heavy buying, Red tint = heavy selling.
Use cases
Identify accumulation or distribution phases early.
Confirm momentum with volume-backed pressure.
Detect divergences between price and volume flow.
Defaults
Length = 14
High-pressure threshold = +5 %
Low-pressure threshold = −5 %
Example — AAPL (2H)
Late July into early August shows sustained distribution as IIP sinks below −5% (deep red), marking heavy sell pressure during the drop. From early to mid-August, IIP flips positive and holds > +5% (green background), aligning with the rebound. After a brief mid-September shakeout, late Sep–mid Oct features renewed accumulation with repeated green surges. Most recently, IIP prints around −33%, indicating dominant selling pressure into the latest two-hour bars.
Part of the Quant Toolkit — transparent, open-source indicators for modern quantitative analysis. Built by CoryP1990.
How it works
Computes the Intraday Intensity (II) = ((Close − Low) − (High − Close)) / (High − Low) × Volume.
Then compares total “intensity” to total volume over a look-back window to produce a normalized percentage.
Lime line: IIP rising → accumulation / increasing buy pressure.
Red line: IIP falling → distribution / increasing sell pressure.
Background: Green tint = heavy buying, Red tint = heavy selling.
Use cases
Identify accumulation or distribution phases early.
Confirm momentum with volume-backed pressure.
Detect divergences between price and volume flow.
Defaults
Length = 14
High-pressure threshold = +5 %
Low-pressure threshold = −5 %
Example — AAPL (2H)
Late July into early August shows sustained distribution as IIP sinks below −5% (deep red), marking heavy sell pressure during the drop. From early to mid-August, IIP flips positive and holds > +5% (green background), aligning with the rebound. After a brief mid-September shakeout, late Sep–mid Oct features renewed accumulation with repeated green surges. Most recently, IIP prints around −33%, indicating dominant selling pressure into the latest two-hour bars.
Part of the Quant Toolkit — transparent, open-source indicators for modern quantitative analysis. Built by CoryP1990.
Açık kaynak kodlu komut dosyası
Gerçek TradingView ruhuna uygun olarak, bu komut dosyasının oluşturucusu bunu açık kaynaklı hale getirmiştir, böylece yatırımcılar betiğin işlevselliğini inceleyip doğrulayabilir. Yazara saygı! Ücretsiz olarak kullanabilirsiniz, ancak kodu yeniden yayınlamanın Site Kurallarımıza tabi olduğunu unutmayın.
Quant finance researcher focused on options, volatility modeling, and derivative pricing. Building tools that turn complex market behavior into clear, data-driven insights. Explore analytics and modeling at OptionsAnalysisSuite.com
Feragatname
Bilgiler ve yayınlar, TradingView tarafından sağlanan veya onaylanan finansal, yatırım, işlem veya diğer türden tavsiye veya tavsiyeler anlamına gelmez ve teşkil etmez. Kullanım Şartları'nda daha fazlasını okuyun.
Açık kaynak kodlu komut dosyası
Gerçek TradingView ruhuna uygun olarak, bu komut dosyasının oluşturucusu bunu açık kaynaklı hale getirmiştir, böylece yatırımcılar betiğin işlevselliğini inceleyip doğrulayabilir. Yazara saygı! Ücretsiz olarak kullanabilirsiniz, ancak kodu yeniden yayınlamanın Site Kurallarımıza tabi olduğunu unutmayın.
Quant finance researcher focused on options, volatility modeling, and derivative pricing. Building tools that turn complex market behavior into clear, data-driven insights. Explore analytics and modeling at OptionsAnalysisSuite.com
Feragatname
Bilgiler ve yayınlar, TradingView tarafından sağlanan veya onaylanan finansal, yatırım, işlem veya diğer türden tavsiye veya tavsiyeler anlamına gelmez ve teşkil etmez. Kullanım Şartları'nda daha fazlasını okuyun.