Cabot (Germany) Technical Analysis
| CBT Stock | EUR 65.00 1.00 1.56% |
As of the 3rd of March, Cabot shows the risk adjusted performance of 0.1354, and Mean Deviation of 1.34. Cabot 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. Please confirm Cabot mean deviation, standard deviation, treynor ratio, as well as the relationship between the downside deviation and information ratio to decide if Cabot is priced correctly, providing market reflects its regular price of 65.0 per share.
Cabot Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Cabot, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CabotCabot |
Cabot '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 Cabot'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 Cabot.
| 12/03/2025 |
| 03/03/2026 |
If you would invest 0.00 in Cabot on December 3, 2025 and sell it all today you would earn a total of 0.00 from holding Cabot or generate 0.0% return on investment in Cabot over 90 days. Cabot is related to or competes with PARKEN Sport, Burlington Stores, American Public, GREENX METALS, Laureate Education, EMBARK EDUCATION, and Costco Wholesale. Cabot Corporation operates as a specialty chemicals and performance materials company More
Cabot 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 Cabot'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 Cabot upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.53 | |||
| Information Ratio | 0.1249 | |||
| Maximum Drawdown | 9.88 | |||
| Value At Risk | (2.32) | |||
| Potential Upside | 3.56 |
Cabot Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Cabot's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Cabot's standard deviation. In reality, there are many statistical measures that can use Cabot historical prices to predict the future Cabot's volatility.| Risk Adjusted Performance | 0.1354 | |||
| Jensen Alpha | 0.3306 | |||
| Total Risk Alpha | 0.1291 | |||
| Sortino Ratio | 0.1479 | |||
| Treynor Ratio | (0.64) |
Cabot March 3, 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 | 0.1354 | |||
| Market Risk Adjusted Performance | (0.63) | |||
| Mean Deviation | 1.34 | |||
| Semi Deviation | 1.02 | |||
| Downside Deviation | 1.53 | |||
| Coefficient Of Variation | 589.85 | |||
| Standard Deviation | 1.81 | |||
| Variance | 3.29 | |||
| Information Ratio | 0.1249 | |||
| Jensen Alpha | 0.3306 | |||
| Total Risk Alpha | 0.1291 | |||
| Sortino Ratio | 0.1479 | |||
| Treynor Ratio | (0.64) | |||
| Maximum Drawdown | 9.88 | |||
| Value At Risk | (2.32) | |||
| Potential Upside | 3.56 | |||
| Downside Variance | 2.35 | |||
| Semi Variance | 1.03 | |||
| Expected Short fall | (2.07) | |||
| Skewness | 1.18 | |||
| Kurtosis | 3.05 |
Cabot Backtested Returns
Cabot appears to be very steady, given 3 months investment horizon. Cabot secures Sharpe Ratio (or Efficiency) of 0.17, which signifies that the company had a 0.17 % return per unit of standard deviation over the last 3 months. We have found thirty technical indicators for Cabot, which you can use to evaluate the volatility of the firm. Please makes use of Cabot's risk adjusted performance of 0.1354, and Mean Deviation of 1.34 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Cabot holds a performance score of 13. The firm shows a Beta (market volatility) of -0.46, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Cabot are expected to decrease at a much lower rate. During the bear market, Cabot is likely to outperform the market. Please check Cabot's mean deviation, standard deviation, treynor ratio, as well as the relationship between the downside deviation and total risk alpha , to make a quick decision on whether Cabot's price patterns will revert.
Auto-correlation | 0.52 |
Modest predictability
Cabot has modest predictability. Overlapping area represents the amount of predictability between Cabot time series from 3rd of December 2025 to 17th of January 2026 and 17th of January 2026 to 3rd of March 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 Cabot price movement. The serial correlation of 0.52 indicates that about 52.0% of current Cabot price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.52 | |
| Spearman Rank Test | 0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 3.32 |
Cabot 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.
Cabot Technical Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for Cabot across different markets.
About Cabot 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 Cabot 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 Cabot based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Cabot price pattern first instead of the macroeconomic environment surrounding Cabot. By analyzing Cabot'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 Cabot'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 Cabot specific price patterns or momentum indicators. Please read more on our technical analysis page.
Cabot March 3, 2026 Technical Indicators
Most technical analysis of Cabot 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 Cabot from various momentum indicators to cycle indicators. When you analyze Cabot 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 | 0.1354 | |||
| Market Risk Adjusted Performance | (0.63) | |||
| Mean Deviation | 1.34 | |||
| Semi Deviation | 1.02 | |||
| Downside Deviation | 1.53 | |||
| Coefficient Of Variation | 589.85 | |||
| Standard Deviation | 1.81 | |||
| Variance | 3.29 | |||
| Information Ratio | 0.1249 | |||
| Jensen Alpha | 0.3306 | |||
| Total Risk Alpha | 0.1291 | |||
| Sortino Ratio | 0.1479 | |||
| Treynor Ratio | (0.64) | |||
| Maximum Drawdown | 9.88 | |||
| Value At Risk | (2.32) | |||
| Potential Upside | 3.56 | |||
| Downside Variance | 2.35 | |||
| Semi Variance | 1.03 | |||
| Expected Short fall | (2.07) | |||
| Skewness | 1.18 | |||
| Kurtosis | 3.05 |
Cabot March 3, 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 Cabot 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 | 0.77 | ||
| Daily Balance Of Power | 0.50 | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 64.00 | ||
| Day Typical Price | 64.33 | ||
| Price Action Indicator | 1.50 | ||
| Market Facilitation Index | 0.08 |
Complementary Tools for Cabot Stock analysis
When running Cabot's price analysis, check to measure Cabot'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 Cabot is operating at the current time. Most of Cabot's value examination focuses on studying past and present price action to predict the probability of Cabot's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Cabot's price. Additionally, you may evaluate how the addition of Cabot to your portfolios can decrease your overall portfolio volatility.
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