NQTH Index Forecast - Accumulation Distribution

NQT
NQTH -- Thailand Index  

 909.41  5.66  0.62%

NQTH Index Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast NQTH historical stock prices and determine the direction of NQTH's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of NQTH historical fundamentals such as revenue growth or operating cash flow patterns. Check out Your Current Watchlist.

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NQTH has current Accumulation Distribution of 0.0062. The accumulation distribution (A/D) indicator shows the degree to which NQTH is accumulated by the market over a given period. It uses the quote sensitivity to the highest or lowest daily price of NQTH to determine if accumulation or reduction is taking place in the market. This value is adjusted by NQTH trading volume to give more weight to distributions with higher volume over lower volume.
  Previous Accumulation DistributionAccumulation DistributionTrend
0.00760.0062
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NQTH Trading Date Momentum

On July 07 2020 NQTH was traded for  909.41  at the closing time. The highest daily price throughout the period was 909.41  and the lowest price was  903.75 . There was no trading activity during the period 1.0. Lack of trading volume on 07/07/2020 did not cause price change. The trading delta at closing time to current closing price is 0.62% .
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 Compare NQTH to competition

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Check out Your Current Watchlist. Please also try Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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