Fortinet (Germany) Technical Analysis
| FO8 Stock | EUR 67.50 0.68 1.00% |
As of the 23rd of February, Fortinet shows the Mean Deviation of 1.56, variance of 4.52, and Standard Deviation of 2.13. Fortinet 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 Fortinet mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if Fortinet is priced favorably, providing market reflects its regular price of 67.5 per share.
Fortinet Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Fortinet, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FortinetFortinet |
Fortinet 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Fortinet's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Fortinet.
| 11/25/2025 |
| 02/23/2026 |
If you would invest 0.00 in Fortinet on November 25, 2025 and sell it all today you would earn a total of 0.00 from holding Fortinet or generate 0.0% return on investment in Fortinet over 90 days. Fortinet is related to or competes with Samsung Electronics, Samsung Electronics, ASTRA INTERNATIONAL, PT Astra, ASTRA INTERNATIONAL, ASTRA INTERNATIONAL, and Samsung Electronics. Fortinet, Inc. provides broad, integrated, and automated cybersecurity solutions worldwide More
Fortinet Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Fortinet's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Fortinet upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 12.79 | |||
| Value At Risk | (3.12) | |||
| Potential Upside | 3.35 |
Fortinet Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fortinet's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fortinet's standard deviation. In reality, there are many statistical measures that can use Fortinet historical prices to predict the future Fortinet's volatility.| Risk Adjusted Performance | 0.0051 | |||
| Jensen Alpha | 0.0055 | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | 0.0503 |
Fortinet February 23, 2026 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 | 0.0051 | |||
| Market Risk Adjusted Performance | 0.0603 | |||
| Mean Deviation | 1.56 | |||
| Coefficient Of Variation | (59,035) | |||
| Standard Deviation | 2.13 | |||
| Variance | 4.52 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | 0.0055 | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | 0.0503 | |||
| Maximum Drawdown | 12.79 | |||
| Value At Risk | (3.12) | |||
| Potential Upside | 3.35 | |||
| Skewness | 0.8933 | |||
| Kurtosis | 2.75 |
Fortinet Backtested Returns
Fortinet secures Sharpe Ratio (or Efficiency) of close to zero, which denotes the company had a close to zero % return per unit of risk over the last 3 months. Fortinet exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Fortinet's Variance of 4.52, mean deviation of 1.56, and Standard Deviation of 2.13 to check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.27, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Fortinet are expected to decrease at a much lower rate. During the bear market, Fortinet is likely to outperform the market. At this point, Fortinet has a negative expected return of -0.0108%. Please make sure to confirm Fortinet's potential upside, kurtosis, and the relationship between the value at risk and skewness , to decide if Fortinet performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.62 |
Very good reverse predictability
Fortinet has very good reverse predictability. Overlapping area represents the amount of predictability between Fortinet time series from 25th of November 2025 to 9th of January 2026 and 9th of January 2026 to 23rd of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Fortinet price movement. The serial correlation of -0.62 indicates that roughly 62.0% of current Fortinet price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.62 | |
| Spearman Rank Test | -0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 7.01 |
Fortinet 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.
Fortinet Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. The Normalized Average True Range is used to analyze tradable apportunities for Fortinet across different markets.
About Fortinet 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 Fortinet 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 Fortinet based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Fortinet price pattern first instead of the macroeconomic environment surrounding Fortinet. By analyzing Fortinet'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 Fortinet'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 Fortinet specific price patterns or momentum indicators. Please read more on our technical analysis page.
Fortinet February 23, 2026 Technical Indicators
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 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 | 0.0051 | |||
| Market Risk Adjusted Performance | 0.0603 | |||
| Mean Deviation | 1.56 | |||
| Coefficient Of Variation | (59,035) | |||
| Standard Deviation | 2.13 | |||
| Variance | 4.52 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | 0.0055 | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | 0.0503 | |||
| Maximum Drawdown | 12.79 | |||
| Value At Risk | (3.12) | |||
| Potential Upside | 3.35 | |||
| Skewness | 0.8933 | |||
| Kurtosis | 2.75 |
Fortinet February 23, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Fortinet stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.03 | ||
| Daily Balance Of Power | (0.30) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 68.63 | ||
| Day Typical Price | 68.26 | ||
| Price Action Indicator | (1.48) | ||
| Market Facilitation Index | 2.27 |
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.
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
| Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
| Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
| Transaction History View history of all your transactions and understand their impact on performance | |
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals |