SoftwareOne Holding (Norway) Analysis

SWON Stock   88.00  2.33  2.58%   
SoftwareOne Holding is overvalued with . The main objective of SoftwareOne Holding stock analysis is to determine its intrinsic value, which is an estimate of what SoftwareOne Holding is worth, separate from its market price. There are two main types of SoftwareOne Holding's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect SoftwareOne Holding's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of SoftwareOne Holding's stock to identify patterns and trends that may indicate its future price movements.
The SoftwareOne Holding stock is traded in Norway on Oslo Stock Exchange, with the market opening at 09:00:00 and closing at 16:20:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Norway.
  
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SoftwareOne Holding Investment Alerts

SoftwareOne Holding generated a negative expected return over the last 90 days
SoftwareOne Holding has high historical volatility and very poor performance

SoftwareOne Holding Thematic Classifications

In addition to having SoftwareOne Holding stock in your portfolios, you can add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your favorite investment opportunity, you can then obtain an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility. If you are a result-oriented investor, you can benefit from optimizing one of our existing themes to build an efficient portfolio against your specific investing outlook.
IT Idea
IT
Information technology and IT services
Software Idea
Software
Software, software systems, and software services
Computers Idea
Computers
USA Equities from Computers industry as classified by Fama & French

SoftwareOne Holding Price Movement Analysis

The output start index for this execution was eleven with a total number of output elements of two. The Simple Moving Average indicator is calculated by adding the closing price of SoftwareOne Holding for a given number of time periods and then dividing this total by the number of time periods. It is used to smooth out SoftwareOne Holding short-term fluctuations and highlight longer-term trends or cycles.

SoftwareOne Holding Outstanding Bonds

SoftwareOne Holding issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. SoftwareOne Holding uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most SoftwareOne bonds can be classified according to their maturity, which is the date when SoftwareOne Holding has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.

SoftwareOne Holding Predictive Daily Indicators

SoftwareOne Holding intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of SoftwareOne Holding stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.

SoftwareOne Holding Forecast Models

SoftwareOne Holding's time-series forecasting models are one of many SoftwareOne Holding's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary SoftwareOne Holding's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Be your own money manager

As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our stock analysis tools, you can find out how much better you can do when adding SoftwareOne Holding to your portfolios without increasing risk or reducing expected return.

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