Moodys (Germany) Technical Analysis
| DUT Stock | EUR 360.00 0.70 0.19% |
As of the 17th of February 2026, Moodys secures the Risk Adjusted Performance of (0.07), mean deviation of 1.34, and Standard Deviation of 2.15. Moodys technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the firm's future prices. Please verify Moodys treynor ratio, as well as the relationship between the value at risk and skewness to decide if Moodys is priced some-what accurately, providing market reflects its recent price of 360.0 per share.
Moodys Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Moodys, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MoodysMoodys |
Moodys '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 Moodys' 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 Moodys.
| 11/19/2025 |
| 02/17/2026 |
If you would invest 0.00 in Moodys on November 19, 2025 and sell it all today you would earn a total of 0.00 from holding Moodys or generate 0.0% return on investment in Moodys over 90 days. Moodys is related to or competes with Smurfit Kappa, Smurfit Kappa, HPQ SILICON, METTLER TOLEDO, METTLER TOLEDO, Mettler-Toledo International, and CLABO SPA. Moodys Corporation provides credit ratings and credit, capital markets, and economic related research, data, and analyti... More
Moodys 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 Moodys' 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 Moodys upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 14.81 | |||
| Value At Risk | (2.38) | |||
| Potential Upside | 2.58 |
Moodys Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Moodys' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Moodys' standard deviation. In reality, there are many statistical measures that can use Moodys historical prices to predict the future Moodys' volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.22) | |||
| Total Risk Alpha | (0.34) | |||
| Treynor Ratio | 3.85 |
Moodys February 17, 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 | (0.07) | |||
| Market Risk Adjusted Performance | 3.86 | |||
| Mean Deviation | 1.34 | |||
| Coefficient Of Variation | (1,005) | |||
| Standard Deviation | 2.15 | |||
| Variance | 4.6 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | (0.22) | |||
| Total Risk Alpha | (0.34) | |||
| Treynor Ratio | 3.85 | |||
| Maximum Drawdown | 14.81 | |||
| Value At Risk | (2.38) | |||
| Potential Upside | 2.58 | |||
| Skewness | (2.05) | |||
| Kurtosis | 9.09 |
Moodys Backtested Returns
Moodys has Sharpe Ratio of -0.0739, which conveys that the firm had a -0.0739 % return per unit of risk over the last 3 months. Moodys exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Moodys' Standard Deviation of 2.15, mean deviation of 1.34, and Risk Adjusted Performance of (0.07) to check out the risk estimate we provide. The company secures a Beta (Market Risk) of -0.0581, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Moodys are expected to decrease at a much lower rate. During the bear market, Moodys is likely to outperform the market. At this point, Moodys has a negative expected return of -0.16%. Please make sure to verify Moodys' treynor ratio, skewness, rate of daily change, as well as the relationship between the value at risk and accumulation distribution , to decide if Moodys performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.78 |
Almost perfect reverse predictability
Moodys has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Moodys time series from 19th of November 2025 to 3rd of January 2026 and 3rd of January 2026 to 17th 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 Moodys price movement. The serial correlation of -0.78 indicates that around 78.0% of current Moodys price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.78 | |
| Spearman Rank Test | -0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 1306.73 |
Moodys 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.
Moodys 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 Moodys volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Moodys 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 Moodys 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 Moodys based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Moodys price pattern first instead of the macroeconomic environment surrounding Moodys. By analyzing Moodys'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 Moodys'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 Moodys specific price patterns or momentum indicators. Please read more on our technical analysis page.
Moodys February 17, 2026 Technical Indicators
Most technical analysis of Moodys 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 Moodys from various momentum indicators to cycle indicators. When you analyze Moodys 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 | (0.07) | |||
| Market Risk Adjusted Performance | 3.86 | |||
| Mean Deviation | 1.34 | |||
| Coefficient Of Variation | (1,005) | |||
| Standard Deviation | 2.15 | |||
| Variance | 4.6 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | (0.22) | |||
| Total Risk Alpha | (0.34) | |||
| Treynor Ratio | 3.85 | |||
| Maximum Drawdown | 14.81 | |||
| Value At Risk | (2.38) | |||
| Potential Upside | 2.58 | |||
| Skewness | (2.05) | |||
| Kurtosis | 9.09 |
Moodys February 17, 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 Moodys 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 | 0.01 | ||
| Daily Balance Of Power | 0.30 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 358.85 | ||
| Day Typical Price | 359.23 | ||
| Price Action Indicator | 1.50 | ||
| Market Facilitation Index | 2.30 |
Complementary Tools for Moodys Stock analysis
When running Moodys' price analysis, check to measure Moodys' 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 Moodys is operating at the current time. Most of Moodys' value examination focuses on studying past and present price action to predict the probability of Moodys' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Moodys' price. Additionally, you may evaluate how the addition of Moodys to your portfolios can decrease your overall portfolio volatility.
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