Fidelity National (UK) Technical Analysis
0ILW Stock | 86.30 0.26 0.30% |
As of the 24th of November, Fidelity National shows the Mean Deviation of 0.7306, downside deviation of 1.07, and Coefficient Of Variation of 657.19. Fidelity National technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices. Please confirm Fidelity National mean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation to decide if Fidelity National is priced favorably, providing market reflects its regular price of 86.3 per share.
Fidelity National Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Fidelity, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FidelityFidelity |
Fidelity National technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Fidelity National Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. 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 Fidelity National volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Fidelity National Trend Analysis
Use this graph to draw trend lines for Fidelity National Information. You can use it to identify possible trend reversals for Fidelity National 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 Fidelity National price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Fidelity National Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Fidelity National Information applied against its price change over selected period. The best fit line has a slop of 0.12 , which means Fidelity National Information will continue generating value for investors. It has 122 observation points and a regression sum of squares at 521.91, which is the sum of squared deviations for the predicted Fidelity National price change compared to its average price change.About Fidelity National Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Fidelity National Information on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Fidelity National Information based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Fidelity National price pattern first instead of the macroeconomic environment surrounding Fidelity National. By analyzing Fidelity National's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Fidelity National's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Fidelity National specific price patterns or momentum indicators. Please read more on our technical analysis page.
Fidelity National November 24, 2024 Technical Indicators
Most technical analysis of Fidelity help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Fidelity from various momentum indicators to cycle indicators. When you analyze Fidelity charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Risk Adjusted Performance | 0.1187 | |||
Market Risk Adjusted Performance | 0.9019 | |||
Mean Deviation | 0.7306 | |||
Semi Deviation | 0.9485 | |||
Downside Deviation | 1.07 | |||
Coefficient Of Variation | 657.19 | |||
Standard Deviation | 0.9531 | |||
Variance | 0.9084 | |||
Information Ratio | 0.0149 | |||
Jensen Alpha | 0.1167 | |||
Total Risk Alpha | (0.02) | |||
Sortino Ratio | 0.0134 | |||
Treynor Ratio | 0.8919 | |||
Maximum Drawdown | 4.71 | |||
Value At Risk | (1.41) | |||
Potential Upside | 1.53 | |||
Downside Variance | 1.14 | |||
Semi Variance | 0.8997 | |||
Expected Short fall | (0.74) | |||
Skewness | (0.55) | |||
Kurtosis | 0.7489 |
Additional Tools for Fidelity Stock Analysis
When running Fidelity National's price analysis, check to measure Fidelity National's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Fidelity National is operating at the current time. Most of Fidelity National's value examination focuses on studying past and present price action to predict the probability of Fidelity National's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fidelity National's price. Additionally, you may evaluate how the addition of Fidelity National to your portfolios can decrease your overall portfolio volatility.