|FB -- USA Stock|| |
USD 160.30 0.15 0.09%
Investors can use this prediction interface to forecast Facebook historic prices and determine the direction of Facebook 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 Facebook 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 Facebook systematic risks associated with finding meaningful patterns of Facebook fundamentals over time. Additionally see Historical Fundamental Analysis of Facebook
to cross-verify your projections.
On March 13, 2018 Facebook had Accumulation Distribution of 465522.246142. The accumulation distribution (A/D) indicator shows the degree to which Facebook is accumulated by the market over a given period. It uses the quote sensitivity to the highest or lowest daily price of Facebook to determine if accumulation or reduction is taking place in the market. This value is adjusted by Facebook trading volume to give more weight to distributions with higher volume over lower volume.
Facebook Trading Date Momentum
|On March 14 2018 Facebook was traded for 184.19 at the closing time. The highest price during the trading period was 184.25 and the lowest recorded bid was listed for 181.85 . The volume for the day was 16.4 M. This history from March 14, 2018 contributed to the next trading day price increase. The overall trading delta to the next closing price was 1.27% . The overall trading delta to the current price is 2.68% . |
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