Facc AG (Germany) Technical Analysis
| 1FC Stock | EUR 11.44 0.08 0.70% |
As of the 5th of February, Facc AG shows the Semi Deviation of 1.82, downside deviation of 2.11, and Mean Deviation of 1.79. Facc 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 Facc AG mean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation to decide if Facc AG is priced favorably, providing market reflects its regular price of 11.44 per share.
Facc 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 Facc, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FaccFacc |
Facc 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 Facc 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 Facc AG.
| 11/07/2025 |
| 02/05/2026 |
If you would invest 0.00 in Facc AG on November 7, 2025 and sell it all today you would earn a total of 0.00 from holding Facc AG or generate 0.0% return on investment in Facc AG over 90 days. Facc AG is related to or competes with Ducommun Incorporated, Ehang Holdings, L3Harris Technologies, Ballard Power, Standard Lithium, and VSE. Facc AG is entity of Germany. It is traded as Stock on F exchange. More
Facc 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 Facc 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 Facc AG upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.11 | |||
| Information Ratio | 0.1557 | |||
| Maximum Drawdown | 10.91 | |||
| Value At Risk | (3.88) | |||
| Potential Upside | 4.15 |
Facc AG Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Facc AG's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Facc AG's standard deviation. In reality, there are many statistical measures that can use Facc AG historical prices to predict the future Facc AG's volatility.| Risk Adjusted Performance | 0.1421 | |||
| Jensen Alpha | 0.394 | |||
| Total Risk Alpha | 0.2411 | |||
| Sortino Ratio | 0.1687 | |||
| Treynor Ratio | 1.36 |
Facc AG February 5, 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 | 0.1421 | |||
| Market Risk Adjusted Performance | 1.37 | |||
| Mean Deviation | 1.79 | |||
| Semi Deviation | 1.82 | |||
| Downside Deviation | 2.11 | |||
| Coefficient Of Variation | 543.65 | |||
| Standard Deviation | 2.29 | |||
| Variance | 5.22 | |||
| Information Ratio | 0.1557 | |||
| Jensen Alpha | 0.394 | |||
| Total Risk Alpha | 0.2411 | |||
| Sortino Ratio | 0.1687 | |||
| Treynor Ratio | 1.36 | |||
| Maximum Drawdown | 10.91 | |||
| Value At Risk | (3.88) | |||
| Potential Upside | 4.15 | |||
| Downside Variance | 4.45 | |||
| Semi Variance | 3.33 | |||
| Expected Short fall | (2.05) | |||
| Skewness | 0.125 | |||
| Kurtosis | 0.1032 |
Facc AG Backtested Returns
Facc AG appears to be not too volatile, given 3 months investment horizon. Facc AG secures Sharpe Ratio (or Efficiency) of 0.21, which denotes the company had a 0.21 % return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for Facc AG, which you can use to evaluate the volatility of the firm. Please utilize Facc AG's Mean Deviation of 1.79, semi deviation of 1.82, and Downside Deviation of 2.11 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Facc AG holds a performance score of 16. The firm shows a Beta (market volatility) of 0.3, which means possible diversification benefits within a given portfolio. As returns on the market increase, Facc AG's returns are expected to increase less than the market. However, during the bear market, the loss of holding Facc AG is expected to be smaller as well. Please check Facc AG's mean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation , to make a quick decision on whether Facc AG's price patterns will revert.
Auto-correlation | -0.06 |
Very weak reverse predictability
Facc AG has very weak reverse predictability. Overlapping area represents the amount of predictability between Facc AG time series from 7th of November 2025 to 22nd of December 2025 and 22nd of December 2025 to 5th 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 Facc AG price movement. The serial correlation of -0.06 indicates that barely 6.0% of current Facc AG price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.06 | |
| Spearman Rank Test | 0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Facc 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.
Facc AG Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 Facc AG volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Facc 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 Facc 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 Facc AG based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Facc AG price pattern first instead of the macroeconomic environment surrounding Facc AG. By analyzing Facc 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 Facc 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 Facc AG specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2025 | 2026 (projected) | PTB Ratio | 1.46 | 1.98 | Dividend Yield | 0.0145 | 0.0155 |
Facc AG February 5, 2026 Technical Indicators
Most technical analysis of Facc 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 Facc from various momentum indicators to cycle indicators. When you analyze Facc 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 | 0.1421 | |||
| Market Risk Adjusted Performance | 1.37 | |||
| Mean Deviation | 1.79 | |||
| Semi Deviation | 1.82 | |||
| Downside Deviation | 2.11 | |||
| Coefficient Of Variation | 543.65 | |||
| Standard Deviation | 2.29 | |||
| Variance | 5.22 | |||
| Information Ratio | 0.1557 | |||
| Jensen Alpha | 0.394 | |||
| Total Risk Alpha | 0.2411 | |||
| Sortino Ratio | 0.1687 | |||
| Treynor Ratio | 1.36 | |||
| Maximum Drawdown | 10.91 | |||
| Value At Risk | (3.88) | |||
| Potential Upside | 4.15 | |||
| Downside Variance | 4.45 | |||
| Semi Variance | 3.33 | |||
| Expected Short fall | (2.05) | |||
| Skewness | 0.125 | |||
| Kurtosis | 0.1032 |
Facc AG February 5, 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 Facc 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 | 0.02 | ||
| Daily Balance Of Power | 0.33 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 11.32 | ||
| Day Typical Price | 11.36 | ||
| Price Action Indicator | 0.16 | ||
| Market Facilitation Index | 0.24 |
Complementary Tools for Facc Stock analysis
When running Facc AG's price analysis, check to measure Facc 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 Facc AG is operating at the current time. Most of Facc AG's value examination focuses on studying past and present price action to predict the probability of Facc 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 Facc AG's price. Additionally, you may evaluate how the addition of Facc AG to your portfolios can decrease your overall portfolio volatility.
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