FRESENIUS SE+CO (Germany) Price History

FRESENIUS SE+CO Stock Price History Chart

FRESENIUS SE+CO November 30, 2024 Stock Price Synopsis

Various analyses of FRESENIUS SE+CO's daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell FRESENIUS Stock. It can be used to describe the percentage change in the price of FRESENIUS SE+CO from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of FRESENIUS Stock. When benchmark price declines in a down market, there may be an uptick in FRESENIUS 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 FRESENIUS SE+CO intraday prices and daily technical indicators to check the level of noise trading in FRESENIUS Stock and then apply it to test your longer-term investment strategies against FRESENIUS.

FRESENIUS Stock Price History Data

The price series of FRESENIUS SE+CO for the period between Sun, Sep 1, 2024 and Sat, Nov 30, 2024 has a statistical range of 0.7 with a coefficient of variation of 1.69. Under current investment horizon, the daily prices are spread out with arithmetic mean of 8.27. The median price for the last 90 days is 8.25. The company completed 1:1 stock split on 5th of August 2014. FRESENIUS SECO ADR completed dividends distribution on 2022-05-16.

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

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