Invesco China Accumulation Distribution

TAO -- USA Etf  

USD 25.93  0.24  0.93%

Investors can use this prediction interface to forecast Invesco China historic prices and determine the direction of Invesco China Real Estate ETF future trends based on various well-known forecasting models. However looking at historical price movement exclusively is usually misleading. Macroaxis recommends to always use this module together with analysis of Invesco China historical fundamentals such as revenue growth or operating cash flow patterns. Also please take a look at Historical Fundamental Analysis of Invesco China to cross-verify your projections.
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On August 19, 2019 Invesco China Real Estate ETF had Accumulation Distribution of 345.56308. The accumulation distribution (A/D) indicator shows the degree to which Invesco China is accumulated by the market over a given period. It uses the quote sensitivity to the highest or lowest daily price of Invesco China Real Estate ETF to determine if accumulation or reduction is taking place in the market. This value is adjusted by Invesco China trading volume to give more weight to distributions with higher volume over lower volume.
  Previous Accumulation DistributionAccumulation DistributionTrend
210.176636345.56308
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Invesco China Trading Date Momentum

On August 20 2019 Invesco China Real Estate ETF was traded for  25.28  at the closing time. Highest Invesco China's price during the trading hours was 25.46  and the lowest price during the day was  25.21 . The net volume was 25.1 K. The overall trading history on 20 of August contributed to the next trading period price depreciation. The trading price change to the next next day price was 0.71% . The trading delta at closing time to current price is 3.42% .
Accumulation distribution indicator can signal that a trend is either nearing completion, at a continuation, or is about to break-outs. The actual value of this indicator is of no significance. What is significant is the change in value of over time. The formula for A/D of a given trading day can be expressed as follow: ((Close - Low) - (High - Close)) / (High - Low) X Volume
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