Fortinet Stock Statistic Functions Variance

FTNT
 Stock
  

USD 51.47  2.27  4.22%   

Fortinet statistic functions tool provides the execution environment for running the Variance function and other technical functions against Fortinet. Fortinet value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Variance function function is designed to identify and follow existing trends. Fortinet statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period and Deviations to execute this module.

Function
Time Period
Deviations
Execute Function
The output start index for this execution was twenty-nine with a total number of output elements of thirty-two. Fortinet Variance is a measurement of the price spread between periods of Fortinet price series.
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Fortinet Technical Analysis Modules

Most technical analysis of Fortinet 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 Fortinet from various momentum indicators to cycle indicators. When you analyze Fortinet charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About Fortinet Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Fortinet. We use our internally-developed statistical techniques to arrive at the intrinsic value of Fortinet based on widely used predictive technical indicators. In general, we focus on analyzing Fortinet Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Fortinet's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Fortinet's intrinsic value. In addition to deriving basic predictive indicators for Fortinet, we also check how macroeconomic factors affect Fortinet price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Fortinet's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy. Please use the tools below to analyze the current value of Fortinet in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
47.9651.1754.38
Details
Intrinsic
Valuation
LowReal ValueHigh
46.32125.61128.82
Details
Naive
Forecast
LowNext ValueHigh
51.5054.7157.92
Details
21 Analysts
Consensus
LowTarget PriceHigh
180.00346.05425.00
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Fortinet. Your research has to be compared to or analyzed against Fortinet's peers to derive any actionable benefits. When done correctly, Fortinet's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Fortinet.

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As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

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Fortinet pair trading

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Fortinet position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Fortinet will appreciate offsetting losses from the drop in the long position's value.

Fortinet Pair Trading

Fortinet Pair Trading Analysis

The ability to find closely correlated positions to Fortinet could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fortinet when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Fortinet - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Fortinet to buy it.
The correlation of Fortinet is a statistical measure of how it moves in relation to other equities. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Fortinet moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fortinet moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Fortinet can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
Please check Investing Opportunities. You can also try Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.

Complementary Tools for analysis

When running Fortinet price analysis, check to measure Fortinet'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 Fortinet is operating at the current time. Most of Fortinet's value examination focuses on studying past and present price action to predict the probability of Fortinet's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Fortinet's price. Additionally, you may evaluate how the addition of Fortinet to your portfolios can decrease your overall portfolio volatility.
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Is Fortinet's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Fortinet. If investors know Fortinet will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Fortinet listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Fortinet is measured differently than its book value, which is the value of Fortinet that is recorded on the company's balance sheet. Investors also form their own opinion of Fortinet's value that differs from its market value or its book value, called intrinsic value, which is Fortinet's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Fortinet's market value can be influenced by many factors that don't directly affect Fortinet's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Fortinet's value and its price as these two are different measures arrived at by different means. Investors typically determine Fortinet value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fortinet's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.