Gevelot (France) Technical Analysis
| ALGEV Stock | EUR 169.00 1.00 0.60% |
As of the 19th of February, Gevelot retains the Risk Adjusted Performance of (0.02), market risk adjusted performance of (0.47), and Standard Deviation of 1.91. Gevelot technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices.
Gevelot Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Gevelot, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to GevelotGevelot |
Gevelot '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 Gevelot'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 Gevelot.
| 11/21/2025 |
| 02/19/2026 |
If you would invest 0.00 in Gevelot on November 21, 2025 and sell it all today you would earn a total of 0.00 from holding Gevelot or generate 0.0% return on investment in Gevelot over 90 days. Gevelot is related to or competes with Precia SA, Groupe Sfpi, FreelanceCom, Societe Marseillaise, Catering International, Balyo SA, and Sergeferrari. Gvelot SA offers pumpsfluid technology products in France and internationally More
Gevelot 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 Gevelot'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 Gevelot upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 10.4 | |||
| Value At Risk | (3.93) | |||
| Potential Upside | 3.49 |
Gevelot Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Gevelot's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Gevelot's standard deviation. In reality, there are many statistical measures that can use Gevelot historical prices to predict the future Gevelot's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.17) | |||
| Treynor Ratio | (0.48) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Gevelot'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.
Gevelot February 19, 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 | (0.02) | |||
| Market Risk Adjusted Performance | (0.47) | |||
| Mean Deviation | 1.07 | |||
| Coefficient Of Variation | (2,764) | |||
| Standard Deviation | 1.91 | |||
| Variance | 3.65 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.17) | |||
| Treynor Ratio | (0.48) | |||
| Maximum Drawdown | 10.4 | |||
| Value At Risk | (3.93) | |||
| Potential Upside | 3.49 | |||
| Skewness | 0.2077 | |||
| Kurtosis | 3.23 |
Gevelot Backtested Returns
Gevelot holds Efficiency (Sharpe) Ratio of -0.0376, which attests that the entity had a -0.0376 % return per unit of risk over the last 3 months. Gevelot exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Gevelot's Market Risk Adjusted Performance of (0.47), risk adjusted performance of (0.02), and Standard Deviation of 1.91 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.17, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Gevelot's returns are expected to increase less than the market. However, during the bear market, the loss of holding Gevelot is expected to be smaller as well. At this point, Gevelot has a negative expected return of -0.0748%. Please make sure to check out Gevelot's total risk alpha, kurtosis, as well as the relationship between the Kurtosis and price action indicator , to decide if Gevelot performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.40 |
Average predictability
Gevelot has average predictability. Overlapping area represents the amount of predictability between Gevelot time series from 21st of November 2025 to 5th of January 2026 and 5th of January 2026 to 19th 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 Gevelot price movement. The serial correlation of 0.4 indicates that just about 40.0% of current Gevelot price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.4 | |
| Spearman Rank Test | 0.64 | |
| Residual Average | 0.0 | |
| Price Variance | 10.26 |
Gevelot 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.
Gevelot Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. 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 Gevelot volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Gevelot 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 Gevelot 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 Gevelot based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Gevelot price pattern first instead of the macroeconomic environment surrounding Gevelot. By analyzing Gevelot'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 Gevelot'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 Gevelot specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2024 | 2025 | 2026 (projected) | Dividend Yield | 0.0192 | 0.0278 | 0.032 | 0.0342 | Price To Sales Ratio | 1.04 | 1.01 | 0.91 | 0.62 |
Gevelot February 19, 2026 Technical Indicators
Most technical analysis of Gevelot 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 Gevelot from various momentum indicators to cycle indicators. When you analyze Gevelot 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 | (0.02) | |||
| Market Risk Adjusted Performance | (0.47) | |||
| Mean Deviation | 1.07 | |||
| Coefficient Of Variation | (2,764) | |||
| Standard Deviation | 1.91 | |||
| Variance | 3.65 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.17) | |||
| Treynor Ratio | (0.48) | |||
| Maximum Drawdown | 10.4 | |||
| Value At Risk | (3.93) | |||
| Potential Upside | 3.49 | |||
| Skewness | 0.2077 | |||
| Kurtosis | 3.23 |
Gevelot February 19, 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 Gevelot 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 | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 169.00 | ||
| Day Typical Price | 169.00 | ||
| Price Action Indicator | 0.50 |
Additional Tools for Gevelot Stock Analysis
When running Gevelot's price analysis, check to measure Gevelot'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 Gevelot is operating at the current time. Most of Gevelot's value examination focuses on studying past and present price action to predict the probability of Gevelot's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Gevelot's price. Additionally, you may evaluate how the addition of Gevelot to your portfolios can decrease your overall portfolio volatility.