Fortinet Stock Overlap Studies All Moving Average
| FTNT Stock | USD 64.80 1.11 1.74% |
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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 Moving Average is predictive technique used to analyze Fortinet price data points by creating a series of averages of different subsets of Fortinet entire price series.
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.| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
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| Volatility Indicators | ||
| Volume Indicators |
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 overlap studies 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.
| 2023 | 2024 (projected) | Dividend Yield | 0.0152 | 0.0135 | Price To Sales Ratio | 8.59 | 5.5 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that 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.
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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 instruments. 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.Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Fortinet. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. For more information on how to buy Fortinet Stock please use our How to Invest in Fortinet guide.You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
Complementary Tools for Fortinet Stock analysis
When running Fortinet's 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 the 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.
Quarterly Earnings Growth 0.035 | Earnings Share 1.46 | Revenue Per Share 6.813 | Quarterly Revenue Growth 0.103 | Return On Assets 0.1146 |
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 if Fortinet is a good investment 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.