SXI Real (Switzerland) Analysis
| REAL Stock | 4,847 45.72 0.95% |
SXI Real's financial leverage is the degree to which the firm utilizes its fixed-income securities and uses equity to finance projects. Companies with high leverage are usually considered to be at financial risk. SXI Real's financial risk is the risk to SXI Real stockholders that is caused by an increase in debt. In other words, with a high degree of financial leverage come high-interest payments, which usually reduce Earnings Per Share (EPS).
Given that SXI Real's debt-to-equity ratio measures a Company's obligations relative to the value of its net assets, it is usually used by traders to estimate the extent to which SXI Real is acquiring new debt as a mechanism of leveraging its assets. A high debt-to-equity ratio is generally associated with increased risk, implying that it has been aggressive in financing its growth with debt. Another way to look at debt-to-equity ratios is to compare the overall debt load of SXI Real to its assets or equity, showing how much of the company assets belong to shareholders vs. creditors. If shareholders own more assets, SXI Real is said to be less leveraged. If creditors hold a majority of SXI Real's assets, the Company is said to be highly leveraged.
SXI Real Estate is overvalued with Real Value of 4474.87 and Hype Value of 4847.2. The main objective of SXI Real stock analysis is to determine its intrinsic value, which is an estimate of what SXI Real Estate is worth, separate from its market price. There are two main types of SXI Real's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect SXI Real's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of SXI Real's stock to identify patterns and trends that may indicate its future price movements.
The SXI Real stock is traded in Switzerland on SIX Swiss Exchange, with the market opening at 09:00:00 and closing at 17:30:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Switzerland. SXI Real is usually not traded on Christmas Eve ( 2025 ), Christmas Day, St . Stephen 's Day, New Year 's Eve ( 2025 ), New Year 's Day, Berchtoldstag, Good Friday, Easter Monday, International Workers ' Day, National Day. SXI Stock trading window is adjusted to Europe/Zurich timezone.
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SXI Real Estate Investment Alerts
| Latest headline from news.google.com: Insights into Standex International Q2 Earnings - Benzinga |
Technical Drivers
As of the 4th of February, SXI Real has the risk adjusted performance of 0.2228, and Coefficient Of Variation of 326.06. Compared to fundamental indicators, the technical analysis model makes it possible for you to check available technical drivers of SXI Real Estate, as well as the relationship between them. Please validate SXI Real Estate standard deviation, information ratio, treynor ratio, as well as the relationship between the variance and jensen alpha to decide if SXI Real is priced fairly, providing market reflects its prevalent price of 4847.2 per share.SXI Real Estate Price Movement Analysis
The output start index for this execution was twenty-three with a total number of output elements of thirty-eight. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. SXI Real middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for SXI Real Estate. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
SXI Real Outstanding Bonds
SXI Real 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. SXI Real Estate 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 SXI bonds can be classified according to their maturity, which is the date when SXI Real Estate 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.
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SXI Real Predictive Daily Indicators
SXI Real 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 SXI Real 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.
| Accumulation Distribution | 0.0075 | |||
| Daily Balance Of Power | 1.248839 | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 4834.76 | |||
| Day Typical Price | 4838.9 | |||
| Market Facilitation Index | 36.61 | |||
| Price Action Indicator | 35.3 | |||
| Period Momentum Indicator | 45.72 | |||
| Relative Strength Index | 74.89 |
SXI Real Forecast Models
SXI Real's time-series forecasting models are one of many SXI Real'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 SXI Real'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.SXI Real Assets Financed by Debt
Typically, companies with high debt-to-asset ratios are said to be highly leveraged. The higher the ratio, the greater risk will be associated with the SXI Real's operation. In addition, a high debt-to-assets ratio may indicate a low borrowing capacity of SXI Real, which in turn will lower the firm's financial flexibility.SXI Real Corporate Bonds Issued
About SXI Stock Analysis
Stock analysis is the technique used by a trader or investor to examine and evaluate how SXI Real prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling SXI shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as SXI Real. By using and applying SXI Stock analysis, traders can create a robust methodology for identifying SXI entry and exit points for their positions.
SXI Real is entity of Switzerland. It is traded as Stock on SW exchange.
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Additional Tools for SXI Stock Analysis
When running SXI Real's price analysis, check to measure SXI Real'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 SXI Real is operating at the current time. Most of SXI Real's value examination focuses on studying past and present price action to predict the probability of SXI Real's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SXI Real's price. Additionally, you may evaluate how the addition of SXI Real to your portfolios can decrease your overall portfolio volatility.