Facebook Technical Analysis Overview |
| FB -- USA Stock | USD 173.80 0.90 0.52% |
Facebook shows Mean Deviation of 2.13. Facebook technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm future prices. In plain English you can use this information to find out if the firm will indeed mirror its model of historical prices and volume momentum or the prices will eventually revert. We found nineteen technical drivers for Facebook which can be compared to its rivals. Please confirm Facebook Variance, Maximum Drawdown and the relationship between Coefficient Of Variation and Jensen Alpha to decide if Facebook is priced favorably providing market reflects its regular price of 173.8 per share. Given that Facebook has Jensen Alpha of 0.96, we urge you verify Facebook prevailing market performance to make sure the company can sustain itself at future point.
| Time Horizon | 30 Days Login to change |
Facebook Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Facebook volatility. High ATR values indicate high volatility, and low values indicate low volatility. View also all equity analysis or get more info about average true range volatility indicators indicator.
Facebook Trend Analysis
Use this graph to draw trend lines for Facebook. You can use it to identify possible trend reversals for Facebook as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Facebook price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Facebook Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Facebook applied against its price change over selected period. The best fit line has a slop of 0.06 % which suggests that Facebook will keep on generating value for investors. It has 34 observation points and a regression sum of squares at 2.6, which is the sum of squared deviations for the predicted Facebook price change compared to its average price change.Diversify with Facebook
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Technical Drivers
Facebook August 20, 2018 Technical Indicators
| Cycle Indicators | |
| Math Operators | |
| Math Transform | |
| Momentum Indicators | |
| Overlap Studies | |
| Pattern Recognition | |
| Price Transform | |
| Statistic Functions | |
| Volatility Indicators | |
| Volume Indicators |
| Risk Adjusted Performance | 0.08 | ||
| Market Risk Adjusted Performance | 0.31 | ||
| Mean Deviation | 2.13 | ||
| Coefficient Of Variation | 614.54 | ||
| Standard Deviation | 4.38 | ||
| Variance | 19.17 | ||
| Information Ratio | 0.19 | ||
| Jensen Alpha | 0.96 | ||
| Total Risk Alpha | 1.52 | ||
| Treynor Ratio | 0.32 | ||
| Maximum Drawdown | 20.74 | ||
| Value At Risk | 2.69 | ||
| Potential Upside | 2.75 | ||
| Skewness | 3.66 | ||
| Kurtosis | 15.81 |
Facebook Market Strength
Facebook August 20, 2018 Daily Price Condition
| Accumulation Distribution | 590,475 |
| Daily Balance Of Power | (0.22) |
| Rate Of Daily Change | 0.99 |
| Day Median Price | 174.13 |
| Day Typical Price | 174.02 |
| Price Action Indicator | (0.78) |
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