Softwareone Holding (Switzerland) Price History

Softwareone Holding Stock Price History Chart

Softwareone Holding March 29, 2025 Stock Price Synopsis

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

Softwareone Stock Price History Data

The price series of Softwareone Holding for the period between Sun, Dec 29, 2024 and Sat, Mar 29, 2025 has a statistical range of 1.14 with a coefficient of variation of 4.09. The price distribution for the period has arithmetic mean of 6.08. The median price for the last 90 days is 6.05. The company had dividends distributed to its stock-holders on 2022-05-09.

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

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