Deutsche Telekom (Germany) Price History

Deutsche Telekom Stock Price History Chart

Deutsche Telekom December 2, 2024 Stock Price Synopsis

Various analyses of Deutsche Telekom'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 Telekom 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 Telekom 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 Telekom for the period between Tue, Sep 3, 2024 and Mon, Dec 2, 2024 has a statistical range of 4.65 with a coefficient of variation of 4.43. Under current investment horizon, the daily prices are spread out with arithmetic mean of 27.51. The median price for the last 90 days is 27.6. The company completed 2:1 stock split on 17th of May 2013. Deutsche Telekom completed dividends distribution on 2023-04-06.

Deutsche Telekom 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 Telekom 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 Telekom stock prices may prove useful in developing a viable investing in Deutsche Telekom

Deutsche Telekom 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 Telekom'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 Telekom's price analysis, check to measure Deutsche Telekom'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 Telekom is operating at the current time. Most of Deutsche Telekom's value examination focuses on studying past and present price action to predict the probability of Deutsche Telekom'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 Telekom's price. Additionally, you may evaluate how the addition of Deutsche Telekom to your portfolios can decrease your overall portfolio volatility.