CubeSmart (Germany) Price on October 1, 2024

CubeSmart Valuation on October 1, 2024

CubeSmart Trading Date Momentum on October 1, 2024

On October 02 2024 CubeSmart was traded for  47.30  at the closing time. The highest daily price throughout the period was 47.56  and the lowest price was  47.12 . There was no trading activity during the period 1.0. Lack of trading volume on 10/02/2024 added to the next day price reduction. The trading price change to closing price of the next trading day was 1.03% . The overall trading delta to current closing price is 5.00% .

CubeSmart Fundamentals Correlations and Trends

By evaluating CubeSmart's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among CubeSmart's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. CubeSmart financial account trend analysis is a perfect complement when working with valuation or volatility modules.

CubeSmart investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for CubeSmart is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in CubeSmart will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing CubeSmart stock prices may prove useful in developing a viable investing in CubeSmart

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.

Market strength indicators help investors to evaluate how CubeSmart stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading CubeSmart shares will generate the highest return on investment. By undertsting and applying CubeSmart stock market strength indicators, traders can identify CubeSmart entry and exit signals to maximize returns

Predictive indicators are helping investors to find signals for CubeSmart's price direction in advance. Along with the technical and fundamental analysis of CubeSmart Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of CubeSmart to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.

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.