Fortinet (Brazil) Technical Analysis
| F1TN34 Stock | BRL 204.64 3.64 1.81% |
As of the 23rd of January, Fortinet shows the Mean Deviation of 1.35, standard deviation of 1.82, and Variance of 3.29. 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.
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.
| 10/25/2025 |
| 01/23/2026 |
If you would invest 0.00 in Fortinet on October 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 Charter Communications, Micron Technology, New Oriental, Align Technology, and Unifique Telecomunicaes. Fortinet, Inc. provides broad, integrated, and automated cybersecurity solutions in the Americas, Europe, the Middle Eas... 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 | (0.13) | |||
| Maximum Drawdown | 9.04 | |||
| Value At Risk | (3.25) | |||
| Potential Upside | 2.69 |
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 | (0.05) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (0.37) | |||
| Treynor Ratio | (0.24) |
Fortinet January 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 | (0.05) | |||
| Market Risk Adjusted Performance | (0.23) | |||
| Mean Deviation | 1.35 | |||
| Coefficient Of Variation | (1,411) | |||
| Standard Deviation | 1.82 | |||
| Variance | 3.29 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (0.37) | |||
| Treynor Ratio | (0.24) | |||
| Maximum Drawdown | 9.04 | |||
| Value At Risk | (3.25) | |||
| Potential Upside | 2.69 | |||
| Skewness | (0.32) | |||
| Kurtosis | 0.7433 |
Fortinet Backtested Returns
Fortinet secures Sharpe Ratio (or Efficiency) of -0.0915, which denotes the company had a -0.0915 % return per unit of risk over the last 3 months. Fortinet exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Fortinet's Standard Deviation of 1.82, variance of 3.29, and Mean Deviation of 1.35 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.58, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fortinet's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fortinet is expected to be smaller as well. At this point, Fortinet has a negative expected return of -0.17%. Please make sure to confirm Fortinet's maximum drawdown, potential upside, kurtosis, as well as 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 | 0.30 |
Below average predictability
Fortinet has below average predictability. Overlapping area represents the amount of predictability between Fortinet time series from 25th of October 2025 to 9th of December 2025 and 9th of December 2025 to 23rd of January 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 0.3 indicates that nearly 30.0% of current Fortinet price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.3 | |
| Spearman Rank Test | 0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 68.42 |
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 thirty-six with a total number of output elements of twenty-five. 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 Fortinet volatility. High ATR values indicate high volatility, and low values indicate low volatility.
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 January 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 | (0.05) | |||
| Market Risk Adjusted Performance | (0.23) | |||
| Mean Deviation | 1.35 | |||
| Coefficient Of Variation | (1,411) | |||
| Standard Deviation | 1.82 | |||
| Variance | 3.29 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (0.37) | |||
| Treynor Ratio | (0.24) | |||
| Maximum Drawdown | 9.04 | |||
| Value At Risk | (3.25) | |||
| Potential Upside | 2.69 | |||
| Skewness | (0.32) | |||
| Kurtosis | 0.7433 |
Fortinet January 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 | 0.28 | ||
| Daily Balance Of Power | 1.91 | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 203.69 | ||
| Day Typical Price | 204.00 | ||
| Price Action Indicator | 2.77 | ||
| Market Facilitation Index | 0.06 |
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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