FactSet Research (Germany) Technical Analysis
| FA1 Stock | EUR 172.80 3.45 2.04% |
As of the 16th of February 2026, FactSet Research shows the Mean Deviation of 1.8, standard deviation of 2.62, and Coefficient Of Variation of (633.11). FactSet Research Systems 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 FactSet Research Systems mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if FactSet Research Systems is priced favorably, providing market reflects its regular price of 172.8 per share.
FactSet Research Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as FactSet, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FactSetFactSet |
FactSet Research '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 FactSet Research'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 FactSet Research.
| 11/18/2025 |
| 02/16/2026 |
If you would invest 0.00 in FactSet Research on November 18, 2025 and sell it all today you would earn a total of 0.00 from holding FactSet Research Systems or generate 0.0% return on investment in FactSet Research over 90 days. FactSet Research is related to or competes with Lifeway Foods, Insteel Industries, Sligro Food, Austevoll Seafood, Dairy Farm, and CONAGRA FOODS. FactSet Research Systems Inc. provides integrated financial information and analytical applications to the investment co... More
FactSet Research 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 FactSet Research'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 FactSet Research Systems upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 15.39 | |||
| Value At Risk | (5.89) | |||
| Potential Upside | 3.5 |
FactSet Research Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FactSet Research's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FactSet Research's standard deviation. In reality, there are many statistical measures that can use FactSet Research historical prices to predict the future FactSet Research's volatility.| Risk Adjusted Performance | (0.12) | |||
| Jensen Alpha | (0.43) | |||
| Total Risk Alpha | (0.62) | |||
| Treynor Ratio | (2.69) |
FactSet Research 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 | (0.12) | |||
| Market Risk Adjusted Performance | (2.68) | |||
| Mean Deviation | 1.8 | |||
| Coefficient Of Variation | (633.11) | |||
| Standard Deviation | 2.62 | |||
| Variance | 6.84 | |||
| Information Ratio | (0.18) | |||
| Jensen Alpha | (0.43) | |||
| Total Risk Alpha | (0.62) | |||
| Treynor Ratio | (2.69) | |||
| Maximum Drawdown | 15.39 | |||
| Value At Risk | (5.89) | |||
| Potential Upside | 3.5 | |||
| Skewness | (0.88) | |||
| Kurtosis | 2.37 |
FactSet Research Systems Backtested Returns
FactSet Research Systems secures Sharpe Ratio (or Efficiency) of -0.18, which denotes the company had a -0.18 % return per unit of standard deviation over the last 3 months. FactSet Research Systems exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm FactSet Research's Mean Deviation of 1.8, coefficient of variation of (633.11), and Standard Deviation of 2.62 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.16, which means not very significant fluctuations relative to the market. As returns on the market increase, FactSet Research's returns are expected to increase less than the market. However, during the bear market, the loss of holding FactSet Research is expected to be smaller as well. At this point, FactSet Research Systems has a negative expected return of -0.49%. Please make sure to confirm FactSet Research's mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance , to decide if FactSet Research Systems performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.44 |
Modest reverse predictability
FactSet Research Systems has modest reverse predictability. Overlapping area represents the amount of predictability between FactSet Research 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 FactSet Research Systems price movement. The serial correlation of -0.44 indicates that just about 44.0% of current FactSet Research price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.44 | |
| Spearman Rank Test | -0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 835.43 |
FactSet Research 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.
FactSet Research Systems 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 FactSet Research Systems volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About FactSet Research 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 FactSet Research Systems 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 FactSet Research Systems based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on FactSet Research Systems price pattern first instead of the macroeconomic environment surrounding FactSet Research Systems. By analyzing FactSet Research'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 FactSet Research'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 FactSet Research specific price patterns or momentum indicators. Please read more on our technical analysis page.
FactSet Research February 16, 2026 Technical Indicators
Most technical analysis of FactSet 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 FactSet from various momentum indicators to cycle indicators. When you analyze FactSet 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 | (0.12) | |||
| Market Risk Adjusted Performance | (2.68) | |||
| Mean Deviation | 1.8 | |||
| Coefficient Of Variation | (633.11) | |||
| Standard Deviation | 2.62 | |||
| Variance | 6.84 | |||
| Information Ratio | (0.18) | |||
| Jensen Alpha | (0.43) | |||
| Total Risk Alpha | (0.62) | |||
| Treynor Ratio | (2.69) | |||
| Maximum Drawdown | 15.39 | |||
| Value At Risk | (5.89) | |||
| Potential Upside | 3.5 | |||
| Skewness | (0.88) | |||
| Kurtosis | 2.37 |
FactSet Research 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 FactSet 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 | 1.02 | ||
| Day Median Price | 172.80 | ||
| Day Typical Price | 172.80 | ||
| Price Action Indicator | 1.73 |
Complementary Tools for FactSet Stock analysis
When running FactSet Research's price analysis, check to measure FactSet Research'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 FactSet Research is operating at the current time. Most of FactSet Research's value examination focuses on studying past and present price action to predict the probability of FactSet Research's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move FactSet Research's price. Additionally, you may evaluate how the addition of FactSet Research to your portfolios can decrease your overall portfolio volatility.
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