Zurich Insurance (Switzerland) Price History

Zurich Insurance Stock Price History Chart

Zurich Insurance November 26, 2024 Stock Price Synopsis

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

Zurich Stock Price History Data

The price series of Zurich Insurance for the period between Wed, Aug 28, 2024 and Tue, Nov 26, 2024 has a statistical range of 64.2 with a coefficient of variation of 2.6. The daily prices for the period are distributed with arithmetic mean of 513.06. The median price for the last 90 days is 513.0. The company experienced 785:601 stock split on 17th of October 2002. Zurich Insurance paid out dividends to its shareholders on 2023-04-12.

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

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