Schweiter Technologies (UK) Technical Analysis

0QR1 Stock   409.00  3.00  0.73%   
As of the 30th of November, Schweiter Technologies has the Risk Adjusted Performance of 0.0145, coefficient of variation of 9998.24, and Semi Deviation of 1.68. 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 409.0 per share.

Schweiter Technologies Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Schweiter, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Schweiter
  
Schweiter Technologies' Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.
Schweiter Technologies 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.
A focus of Schweiter Technologies technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Schweiter Technologies trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

Schweiter Technologies Technical Analysis

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The output start index for this execution was ten with a total number of output elements of fifty-one. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Schweiter Technologies volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Schweiter Technologies Trend Analysis

Use this graph to draw trend lines for Schweiter Technologies AG. You can use it to identify possible trend reversals for Schweiter Technologies as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Schweiter Technologies price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

Schweiter Technologies Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Schweiter Technologies AG applied against its price change over selected period. The best fit line has a slop of   0.27  , which means Schweiter Technologies AG will continue generating value for investors. It has 122 observation points and a regression sum of squares at 2666.11, which is the sum of squared deviations for the predicted Schweiter Technologies price change compared to its average price change.

About Schweiter Technologies Technical Analysis

The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Schweiter Technologies AG on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Schweiter Technologies AG based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Schweiter Technologies price pattern first instead of the macroeconomic environment surrounding Schweiter Technologies. By analyzing Schweiter Technologies's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Schweiter Technologies's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Schweiter Technologies specific price patterns or momentum indicators. Please read more on our technical analysis page.

Schweiter Technologies November 30, 2024 Technical Indicators

Most technical analysis of Schweiter help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Schweiter from various momentum indicators to cycle indicators. When you analyze Schweiter charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

Schweiter Technologies November 30, 2024 Daily Trend Indicators

Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Schweiter stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.

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.