Muenchener Rueckver Ges Stock Price History

Muenchener Rueckver Pink Sheet Price History Chart

Muenchener Rueckver December 18, 2024 Pink Sheet Price Synopsis

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

Muenchener Pink Sheet Price History Data

The price series of Muenchener Rueckver for the period between Thu, Sep 19, 2024 and Wed, Dec 18, 2024 has a statistical range of 1.27 with a coefficient of variation of 3.43. The daily prices for the period are spread out with arithmetic mean of 10.5. The median price for the last 90 days is 10.51. The company issued dividends to stockholders on 2022-04-29.

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

Muenchener Rueckver technical pink sheet 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, pink sheet market cycles, or different charting patterns.

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