FORIS AG (Germany) Technical Analysis
| FRS Stock | EUR 3.14 0.02 0.63% |
As of the 23rd of February, FORIS AG shows the Standard Deviation of 1.59, mean deviation of 1.1, and Market Risk Adjusted Performance of (1.13). FORIS AG 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 FORIS AG coefficient of variation, treynor ratio, skewness, as well as the relationship between the variance and value at risk to decide if FORIS AG is priced fairly, providing market reflects its regular price of 3.14 per share.
FORIS AG Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as FORIS, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FORISFORIS |
FORIS AG '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 FORIS AG'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 FORIS AG.
| 11/25/2025 |
| 02/23/2026 |
If you would invest 0.00 in FORIS AG on November 25, 2025 and sell it all today you would earn a total of 0.00 from holding FORIS AG or generate 0.0% return on investment in FORIS AG over 90 days. FORIS AG is related to or competes with Cerence, TELES Informationstech, BIOTIME, MBIA, MBIA, and ANGES MG. The company offers commercial litigation funding services and monetization of disputed claims, as well as involved in th... More
FORIS AG 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 FORIS AG'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 FORIS AG upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 7.75 | |||
| Value At Risk | (2.56) | |||
| Potential Upside | 1.99 |
FORIS AG Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FORIS AG's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FORIS AG's standard deviation. In reality, there are many statistical measures that can use FORIS AG historical prices to predict the future FORIS AG's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.23) | |||
| Treynor Ratio | (1.14) |
FORIS AG 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 | (0.03) | |||
| Market Risk Adjusted Performance | (1.13) | |||
| Mean Deviation | 1.1 | |||
| Coefficient Of Variation | (2,209) | |||
| Standard Deviation | 1.59 | |||
| Variance | 2.52 | |||
| Information Ratio | (0.1) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.23) | |||
| Treynor Ratio | (1.14) | |||
| Maximum Drawdown | 7.75 | |||
| Value At Risk | (2.56) | |||
| Potential Upside | 1.99 | |||
| Skewness | (1.09) | |||
| Kurtosis | 3.42 |
FORIS AG Backtested Returns
At this point, FORIS AG is slightly risky. FORIS AG secures Sharpe Ratio (or Efficiency) of 0.0145, which denotes the company had a 0.0145 % return per unit of volatility over the last 3 months. We have found twenty-one technical indicators for FORIS AG, which you can use to evaluate the volatility of the firm. Please confirm FORIS AG's Standard Deviation of 1.59, market risk adjusted performance of (1.13), and Mean Deviation of 1.1 to check if the risk estimate we provide is consistent with the expected return of 0.0196%. FORIS AG has a performance score of 1 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.0717, which means not very significant fluctuations relative to the market. As returns on the market increase, FORIS AG's returns are expected to increase less than the market. However, during the bear market, the loss of holding FORIS AG is expected to be smaller as well. FORIS AG currently shows a risk of 1.34%. Please confirm FORIS AG treynor ratio, rate of daily change, period momentum indicator, as well as the relationship between the skewness and day typical price , to decide if FORIS AG will be following its price patterns.
Auto-correlation | -0.04 |
Very weak reverse predictability
FORIS AG has very weak reverse predictability. Overlapping area represents the amount of predictability between FORIS AG 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 FORIS AG price movement. The serial correlation of -0.04 indicates that only as little as 4.0% of current FORIS AG price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.04 | |
| Spearman Rank Test | -0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
FORIS AG 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.
FORIS AG 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 FORIS AG across different markets.
About FORIS AG 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 FORIS AG 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 FORIS AG based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on FORIS AG price pattern first instead of the macroeconomic environment surrounding FORIS AG. By analyzing FORIS AG'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 FORIS AG'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 FORIS AG specific price patterns or momentum indicators. Please read more on our technical analysis page.
FORIS AG February 23, 2026 Technical Indicators
Most technical analysis of FORIS 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 FORIS from various momentum indicators to cycle indicators. When you analyze FORIS 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 | (0.03) | |||
| Market Risk Adjusted Performance | (1.13) | |||
| Mean Deviation | 1.1 | |||
| Coefficient Of Variation | (2,209) | |||
| Standard Deviation | 1.59 | |||
| Variance | 2.52 | |||
| Information Ratio | (0.1) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.23) | |||
| Treynor Ratio | (1.14) | |||
| Maximum Drawdown | 7.75 | |||
| Value At Risk | (2.56) | |||
| Potential Upside | 1.99 | |||
| Skewness | (1.09) | |||
| Kurtosis | 3.42 |
FORIS AG 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 FORIS 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 | 0.99 | ||
| Day Median Price | 3.14 | ||
| Day Typical Price | 3.14 | ||
| Price Action Indicator | (0.01) |
Complementary Tools for FORIS Stock analysis
When running FORIS AG's price analysis, check to measure FORIS AG'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 FORIS AG is operating at the current time. Most of FORIS AG's value examination focuses on studying past and present price action to predict the probability of FORIS AG's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move FORIS AG's price. Additionally, you may evaluate how the addition of FORIS AG to your portfolios can decrease your overall portfolio volatility.
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