Alfa Financial (Germany) Technical Analysis
| A9F Stock | 2.02 0.04 1.94% |
As of the 16th of February 2026, Alfa Financial shows the risk adjusted performance of (0.10), and Mean Deviation of 1.29. Alfa Financial Software technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
Alfa Financial Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Alfa, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AlfaAlfa |
Alfa Financial '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 Alfa Financial'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 Alfa Financial.
| 11/18/2025 |
| 02/16/2026 |
If you would invest 0.00 in Alfa Financial on November 18, 2025 and sell it all today you would earn a total of 0.00 from holding Alfa Financial Software or generate 0.0% return on investment in Alfa Financial over 90 days. Alfa Financial is related to or competes with NVIDIA, NVIDIA CORP, NVIDIA, APPLE INC, Apple, Apple, and Alphabet. Alfa Financial is entity of Germany. It is traded as Stock on STU exchange. More
Alfa Financial 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 Alfa Financial'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 Alfa Financial Software upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 9.19 | |||
| Value At Risk | (2.52) | |||
| Potential Upside | 1.85 |
Alfa Financial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alfa Financial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alfa Financial's standard deviation. In reality, there are many statistical measures that can use Alfa Financial historical prices to predict the future Alfa Financial's volatility.| Risk Adjusted Performance | (0.10) | |||
| Jensen Alpha | (0.25) | |||
| Total Risk Alpha | (0.39) | |||
| Treynor Ratio | 6.26 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Alfa Financial'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.
Alfa Financial February 16, 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 | (0.10) | |||
| Market Risk Adjusted Performance | 6.27 | |||
| Mean Deviation | 1.29 | |||
| Coefficient Of Variation | (734.43) | |||
| Standard Deviation | 1.8 | |||
| Variance | 3.23 | |||
| Information Ratio | (0.18) | |||
| Jensen Alpha | (0.25) | |||
| Total Risk Alpha | (0.39) | |||
| Treynor Ratio | 6.26 | |||
| Maximum Drawdown | 9.19 | |||
| Value At Risk | (2.52) | |||
| Potential Upside | 1.85 | |||
| Skewness | (1.08) | |||
| Kurtosis | 2.99 |
Alfa Financial Software Backtested Returns
Alfa Financial Software secures Sharpe Ratio (or Efficiency) of -0.14, which signifies that the company had a -0.14 % return per unit of standard deviation over the last 3 months. Alfa Financial Software exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Alfa Financial's risk adjusted performance of (0.10), and Mean Deviation of 1.29 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.0407, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Alfa Financial are expected to decrease at a much lower rate. During the bear market, Alfa Financial is likely to outperform the market. At this point, Alfa Financial Software has a negative expected return of -0.25%. Please make sure to confirm Alfa Financial's potential upside, day median price, and the relationship between the treynor ratio and accumulation distribution , to decide if Alfa Financial Software performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.59 |
Modest predictability
Alfa Financial Software has modest predictability. Overlapping area represents the amount of predictability between Alfa Financial time series from 18th of November 2025 to 2nd of January 2026 and 2nd of January 2026 to 16th 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 Alfa Financial Software price movement. The serial correlation of 0.59 indicates that roughly 59.0% of current Alfa Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.59 | |
| Spearman Rank Test | 0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Alfa Financial 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.
Alfa Financial Software Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Alfa Financial Software volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Alfa Financial 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 Alfa Financial Software 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 Alfa Financial Software based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Alfa Financial Software price pattern first instead of the macroeconomic environment surrounding Alfa Financial Software. By analyzing Alfa Financial'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 Alfa Financial'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 Alfa Financial specific price patterns or momentum indicators. Please read more on our technical analysis page.
Alfa Financial February 16, 2026 Technical Indicators
Most technical analysis of Alfa 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 Alfa from various momentum indicators to cycle indicators. When you analyze Alfa 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 | (0.10) | |||
| Market Risk Adjusted Performance | 6.27 | |||
| Mean Deviation | 1.29 | |||
| Coefficient Of Variation | (734.43) | |||
| Standard Deviation | 1.8 | |||
| Variance | 3.23 | |||
| Information Ratio | (0.18) | |||
| Jensen Alpha | (0.25) | |||
| Total Risk Alpha | (0.39) | |||
| Treynor Ratio | 6.26 | |||
| Maximum Drawdown | 9.19 | |||
| Value At Risk | (2.52) | |||
| Potential Upside | 1.85 | |||
| Skewness | (1.08) | |||
| Kurtosis | 2.99 |
Alfa Financial February 16, 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 Alfa 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 | (0.67) | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 2.05 | ||
| Day Typical Price | 2.04 | ||
| Price Action Indicator | (0.05) | ||
| Market Facilitation Index | 0.06 |
Additional Tools for Alfa Stock Analysis
When running Alfa Financial's price analysis, check to measure Alfa Financial'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 Alfa Financial is operating at the current time. Most of Alfa Financial's value examination focuses on studying past and present price action to predict the probability of Alfa Financial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Alfa Financial's price. Additionally, you may evaluate how the addition of Alfa Financial to your portfolios can decrease your overall portfolio volatility.