MFS Emerging Accumulation Distribution

EMLJX -- USA Fund  

USD 6.85  0.02  0.29%

Investors can use this prediction interface to forecast MFS Emerging historic prices and determine the direction of MFS Emerging Markets Debt Local 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 MFS Emerging historical fundamentals such as revenue growth or operating cash flow patterns. Additionally see Historical Fundamental Analysis of MFS Emerging to cross-verify your projections.
On October 23, 2019 MFS Emerging Markets Debt Local had Accumulation Distribution of 0. The accumulation distribution (A/D) indicator shows the degree to which MFS Emerging is accumulated by the market over a given period. It uses the quote sensitivity to the highest or lowest daily price of MFS Emerging Markets Debt Local to determine if accumulation or reduction is taking place in the market. This value is adjusted by MFS Emerging trading volume to give more weight to distributions with higher volume over lower volume.
  Previous Accumulation DistributionAccumulation DistributionTrend
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MFS Emerging Trading Date Momentum

On October 24 2019 MFS Emerging Markets Debt Local was traded for  6.95  at the closing time. The highest daily price throughout the period was 6.95  and the lowest price was  6.97 . There was no trading activity during the period 1.0. Lack of trading volume on 10/24/2019 added to the next day price reduction. The overall trading delta to closing price of the next trading day was 0.29% . The trading delta at closing time to current closing price is 0.43% .
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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