|M -- USA Stock|| |
USD 38.27 0.71 1.89%
Investors can use this prediction interface to forecast Macys historic prices and determine the direction of Macys 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 Macys historical fundamentals such as revenue growth or operating cash flow patterns. Although naive historical forecasting may sometimes provide an important future outlook for the firm we recommend to always cross-verify it against solid analysis of Macys systematic risks associated with finding meaningful patterns of Macys fundamentals over time. Please see also Historical Fundamental Analysis of Macys
to cross-verify your projections.
On March 8, 2018 Macys had Accumulation Distribution of 372511.430283. The accumulation distribution (A/D) indicator shows the degree to which Macys is accumulated by the market over a given period. It uses the quote sensitivity to the highest or lowest daily price of Macys to determine if accumulation or reduction is taking place in the market. This value is adjusted by Macys trading volume to give more weight to distributions with higher volume over lower volume.
Macys Trading Date Momentum
|On March 09 2018 Macys was traded for 28.88 at the closing time. The highest price during the trading period was 29.39 and the lowest recorded bid was listed for 28.38 . The volume for the day was 9.6 M. This history from March 9, 2018 contributed to the next trading day price decline. The trading delta at closing time to the next closing price was 0.14% . The trading delta at closing time to the current price is 0.00% . |
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