Asuransi Jasa Accumulation Distribution

ASJT -- Indonesia Stock  

IDR 178.00  1.00  0.56%

Investors can use this prediction interface to forecast Asuransi Jasa historic prices and determine the direction of Asuransi Jasa Tania Tbk 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 Asuransi Jasa historical fundamentals such as revenue growth or operating cash flow patterns. Check also Historical Fundamental Analysis of Asuransi Jasa to cross-verify your projections.
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On September 16, 2019 Asuransi Jasa Tania Tbk had Accumulation Distribution of 145160.784314. The accumulation distribution (A/D) indicator shows the degree to which Asuransi Jasa is accumulated by the market over a given period. It uses the quote sensitivity to the highest or lowest daily price of Asuransi Jasa Tania Tbk to determine if accumulation or reduction is taking place in the market. This value is adjusted by Asuransi Jasa trading volume to give more weight to distributions with higher volume over lower volume.
  Previous Accumulation DistributionAccumulation DistributionTrend
7097.837838145160.784314
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Asuransi Jasa Trading Date Momentum

On September 17 2019 Asuransi Jasa Tania Tbk was traded for  188.00  at the closing time. The highest price during the trading period was 193.00  and the lowest recorded bid was listed for  184.00 . The volume for the day was 161 K. This history from September 17, 2019 contributed to the next trading day price increase. The overall trading delta to the next closing price was 0.53% . The overall trading delta to the current price is 0.53% .
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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