Schweiter Technologies (UK) Analysis
| 0QR1 Stock | 418.50 5.50 1.30% |
Schweiter Technologies AG is fairly valued with Real Value of 432.25 and Hype Value of 418.5. The main objective of Schweiter Technologies stock analysis is to determine its intrinsic value, which is an estimate of what Schweiter Technologies AG is worth, separate from its market price. There are two main types of Schweiter Technologies' stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Schweiter Technologies' performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Schweiter Technologies' stock to identify patterns and trends that may indicate its future price movements.
The Schweiter Technologies stock is traded in UK on London Exchange, with the market opening at 08:00:00 and closing at 16:30:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in UK. Schweiter Technologies is usually not traded on Christmas Day, Boxing Day, New Year 's Day, Good Friday, Easter Monday, May Day Bank Holiday, Spring Bank Holiday ( 2025 ), Summer Bank Holiday. Schweiter Stock trading window is adjusted to Europe/London timezone.
Schweiter |
Schweiter Stock Analysis Notes
About 34.0% of the company shares are owned by insiders or employees . The company recorded earning per share (EPS) of 58.95. Schweiter Technologies had not issued any dividends in recent years. For more info on Schweiter Technologies AG please contact the company at 41 41 757 77 00 or go to https://www.schweiter.ch.Schweiter Technologies Investment Alerts
| About 34.0% of the company shares are owned by insiders or employees |
Schweiter Technologies Thematic Classifications
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 | RecyclingWaste management, pollution control, and recycling |
Schweiter Market Capitalization
The company currently falls under 'Small-Cap' category with a current market capitalization of 608.94 M. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Schweiter Technologies's market, we take the total number of its shares issued and multiply it by Schweiter Technologies's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.Schweiter Profitablity
Schweiter Technologies' profitability indicators refer to fundamental financial ratios that showcase Schweiter Technologies' ability to generate income relative to its revenue or operating costs. If, let's say, Schweiter Technologies is currently losing money, the management's focus should be on how to reverse that trend. However, when revenue exceeds expenses, Schweiter Technologies' executives or investors may be in less hurry to break that information down - which is where profitability analysis comes into play. Gaining a greater understanding of Schweiter Technologies' profitability requires more research than a typical breakdown of Schweiter Technologies' financial statements. By doing a profitability analysis, companies can identify areas needing attention, and investors can make a profitable trade.
The company has Profit Margin (PM) of 0.01 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of (0.01) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $0.01. Technical Drivers
As of the 28th of March, Schweiter Technologies has the Risk Adjusted Performance of 0.0217, coefficient of variation of 5205.73, and Semi Deviation of 1.71. Schweiter Technologies technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices. Please validate Schweiter Technologies semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation to decide if Schweiter Technologies is priced more or less accurately, providing market reflects its prevalent price of 418.5 per share.Schweiter Technologies Price Movement Analysis
The output start index for this execution was nineteen with a total number of output elements of fourty-two. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Schweiter Technologies 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 Schweiter Technologies. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Schweiter Technologies Predictive Daily Indicators
Schweiter Technologies 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 Schweiter Technologies 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.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 418.5 | |||
| Day Typical Price | 418.5 | |||
| Price Action Indicator | (2.75) | |||
| Period Momentum Indicator | (5.50) | |||
| Relative Strength Index | 42.12 |
Schweiter Technologies Forecast Models
Schweiter Technologies' time-series forecasting models are one of many Schweiter Technologies' 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 Schweiter Technologies' 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 Schweiter Technologies to your portfolios without increasing risk or reducing expected return.Did you try this?
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Additional Tools for Schweiter Stock Analysis
When running Schweiter Technologies' price analysis, check to measure Schweiter Technologies' 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 Schweiter Technologies is operating at the current time. Most of Schweiter Technologies' value examination focuses on studying past and present price action to predict the probability of Schweiter Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Schweiter Technologies' price. Additionally, you may evaluate how the addition of Schweiter Technologies to your portfolios can decrease your overall portfolio volatility.