Deutsche Wohnen (Germany) Price History

Deutsche Wohnen Stock Price History Chart

Deutsche Wohnen November 27, 2024 Stock Price Synopsis

Various analyses of Deutsche Wohnen's daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell Deutsche Stock. It can be used to describe the percentage change in the price of Deutsche Wohnen from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of Deutsche Stock. When benchmark price declines in a down market, there may be an uptick in Deutsche Stock price where buyers come in believing the asset is cheap or selling overdone. The opposite is true when the market is bullish. You can use Deutsche Wohnen intraday prices and daily technical indicators to check the level of noise trading in Deutsche Stock and then apply it to test your longer-term investment strategies against Deutsche.

Deutsche Stock Price History Data

The price series of Deutsche Wohnen for the period between Thu, Aug 29, 2024 and Wed, Nov 27, 2024 has a statistical range of 5.85 with a coefficient of variation of 5.34. Under current investment horizon, the daily prices are spread out with arithmetic mean of 23.83. The median price for the last 90 days is 23.8. The company completed 5:1 stock split on 25th of September 2006. Deutsche Wohnen SE completed dividends distribution on 2022-06-03.

Deutsche Wohnen 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 Deutsche is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Deutsche Wohnen SE 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 Deutsche Wohnen stock prices may prove useful in developing a viable investing in Deutsche Wohnen

Deutsche Wohnen 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.

Predictive indicators are helping investors to find signals for Deutsche Wohnen's price direction in advance. Along with the technical and fundamental analysis of Deutsche Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Deutsche 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 Deutsche Wohnen's price analysis, check to measure Deutsche Wohnen'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 Deutsche Wohnen is operating at the current time. Most of Deutsche Wohnen's value examination focuses on studying past and present price action to predict the probability of Deutsche Wohnen's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Deutsche Wohnen's price. Additionally, you may evaluate how the addition of Deutsche Wohnen to your portfolios can decrease your overall portfolio volatility.