CubeSmart (Germany) Technical Analysis
| UK8 Stock | EUR 32.67 0.28 0.86% |
As of the 17th of February 2026, CubeSmart shows the risk adjusted performance of 0.0356, and Mean Deviation of 0.9611. In respect to fundamental indicators, the technical analysis model gives you tools to check existing technical drivers of CubeSmart, as well as the relationship between them. Please confirm CubeSmart coefficient of variation, variance, and the relationship between the downside deviation and standard deviation to decide if CubeSmart is priced correctly, providing market reflects its regular price of 32.67 per share.
CubeSmart Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as CubeSmart, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CubeSmartCubeSmart |
CubeSmart '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 CubeSmart'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 CubeSmart.
| 11/19/2025 |
| 02/17/2026 |
If you would invest 0.00 in CubeSmart on November 19, 2025 and sell it all today you would earn a total of 0.00 from holding CubeSmart or generate 0.0% return on investment in CubeSmart over 90 days. CubeSmart is related to or competes with HASEN-IMMOBILIEN, Babcock Wilcox, NorAm Drilling, Promis Neurosciences, HWA AG, AP Mller, and LG Electronics. CubeSmart is a self-administered and self-managed real estate investment trust More
CubeSmart 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 CubeSmart'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 CubeSmart upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.16 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 6.25 | |||
| Value At Risk | (1.92) | |||
| Potential Upside | 2.54 |
CubeSmart Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CubeSmart's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CubeSmart's standard deviation. In reality, there are many statistical measures that can use CubeSmart historical prices to predict the future CubeSmart's volatility.| Risk Adjusted Performance | 0.0356 | |||
| Jensen Alpha | 0.0353 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.5644 |
CubeSmart 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 | 0.0356 | |||
| Market Risk Adjusted Performance | 0.5744 | |||
| Mean Deviation | 0.9611 | |||
| Semi Deviation | 1.08 | |||
| Downside Deviation | 1.16 | |||
| Coefficient Of Variation | 2514.74 | |||
| Standard Deviation | 1.24 | |||
| Variance | 1.55 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | 0.0353 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.5644 | |||
| Maximum Drawdown | 6.25 | |||
| Value At Risk | (1.92) | |||
| Potential Upside | 2.54 | |||
| Downside Variance | 1.34 | |||
| Semi Variance | 1.17 | |||
| Expected Short fall | (1.11) | |||
| Skewness | 0.2774 | |||
| Kurtosis | 0.3451 |
CubeSmart Backtested Returns
At this point, CubeSmart is very steady. CubeSmart secures Sharpe Ratio (or Efficiency) of 0.0944, which signifies that the company had a 0.0944 % return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for CubeSmart, which you can use to evaluate the volatility of the firm. Please confirm CubeSmart's mean deviation of 0.9611, and Risk Adjusted Performance of 0.0356 to double-check if the risk estimate we provide is consistent with the expected return of 0.12%. CubeSmart has a performance score of 7 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.0699, which signifies not very significant fluctuations relative to the market. As returns on the market increase, CubeSmart's returns are expected to increase less than the market. However, during the bear market, the loss of holding CubeSmart is expected to be smaller as well. CubeSmart right now shows a risk of 1.24%. Please confirm CubeSmart coefficient of variation, jensen alpha, and the relationship between the downside deviation and standard deviation , to decide if CubeSmart will be following its price patterns.
Auto-correlation | 0.16 |
Very weak predictability
CubeSmart has very weak predictability. Overlapping area represents the amount of predictability between CubeSmart 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 CubeSmart price movement. The serial correlation of 0.16 indicates that over 16.0% of current CubeSmart price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.16 | |
| Spearman Rank Test | -0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 0.93 |
CubeSmart 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.
CubeSmart 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 CubeSmart volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About CubeSmart 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 CubeSmart 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 CubeSmart based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on CubeSmart price pattern first instead of the macroeconomic environment surrounding CubeSmart. By analyzing CubeSmart'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 CubeSmart'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 CubeSmart specific price patterns or momentum indicators. Please read more on our technical analysis page.
CubeSmart February 17, 2026 Technical Indicators
Most technical analysis of CubeSmart 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 CubeSmart from various momentum indicators to cycle indicators. When you analyze CubeSmart 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 | 0.0356 | |||
| Market Risk Adjusted Performance | 0.5744 | |||
| Mean Deviation | 0.9611 | |||
| Semi Deviation | 1.08 | |||
| Downside Deviation | 1.16 | |||
| Coefficient Of Variation | 2514.74 | |||
| Standard Deviation | 1.24 | |||
| Variance | 1.55 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | 0.0353 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.5644 | |||
| Maximum Drawdown | 6.25 | |||
| Value At Risk | (1.92) | |||
| Potential Upside | 2.54 | |||
| Downside Variance | 1.34 | |||
| Semi Variance | 1.17 | |||
| Expected Short fall | (1.11) | |||
| Skewness | 0.2774 | |||
| Kurtosis | 0.3451 |
CubeSmart 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 CubeSmart 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 | 0.53 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 32.42 | ||
| Day Typical Price | 32.50 | ||
| Price Action Indicator | 0.40 | ||
| Market Facilitation Index | 0.53 |
Complementary Tools for CubeSmart Stock analysis
When running CubeSmart's price analysis, check to measure CubeSmart'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 CubeSmart is operating at the current time. Most of CubeSmart's value examination focuses on studying past and present price action to predict the probability of CubeSmart's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move CubeSmart's price. Additionally, you may evaluate how the addition of CubeSmart to your portfolios can decrease your overall portfolio volatility.
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