Deutsche Post (Germany) Price on November 23, 2023

Deutsche Post Valuation on November 23, 2023

Deutsche Post Trading Date Momentum on November 23, 2023

On November 24 2023 Deutsche Post AG was traded for  38.46  at the closing time. The maximum traded price for the trading interval was 38.46  and the lowest daily price was  38.46 . There was no trading activity during the period 1.0. Lack of trading volume on 24th of November 2023 did not affect price variability. The overall trading delta to the closing price today is 6.66% .

Deutsche Post AG Fundamentals Correlations and Trends

By evaluating Deutsche Post'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 Deutsche Post's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Deutsche financial account trend analysis is a perfect complement when working with valuation or volatility modules.

Deutsche Post 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 Post AG 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 Post stock prices may prove useful in developing a viable investing in Deutsche Post

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

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