Svenska Cellulosa (Sweden) Price History

Svenska Cellulosa Stock Price History Chart

Svenska Cellulosa December 2, 2024 Stock Price Synopsis

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

Svenska Stock Price History Data

The price series of Svenska Cellulosa for the period between Tue, Sep 3, 2024 and Mon, Dec 2, 2024 has a statistical range of 13.6 with a coefficient of variation of 2.33. The price distribution for the period has arithmetic mean of 142.32. The median price for the last 90 days is 141.8. The company completed stock split (3:1) on 7th of May 2007. Svenska Cellulosa had dividends distributed to its stock-holders on 2023-03-31.

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

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