Schindler Holding Ag Stock Technical Analysis

SHLAF Stock  USD 287.00  5.60  1.91%   
As of the 23rd of December, Schindler Holding has the Coefficient Of Variation of 1465.04, variance of 0.374, and Risk Adjusted Performance of 0.0511. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Schindler Holding, as well as the relationship between them. Please validate Schindler Holding standard deviation, treynor ratio, as well as the relationship between the Treynor Ratio and skewness to decide if Schindler Holding is priced more or less accurately, providing market reflects its prevalent price of 287.0 per share. Given that Schindler Holding has total risk alpha of 0.0146, we advise you to double-check Schindler Holding AG's current market performance to make sure the company can sustain itself at a future point.

Schindler Holding Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Schindler, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Schindler
  
Schindler Holding's 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.
Schindler Holding technical pink sheet 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, pink sheet market cycles, or different charting patterns.
A focus of Schindler Holding technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Schindler Holding 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...

Schindler Holding Technical Analysis

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The output start index for this execution was twenty with a total number of output elements of fourty-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 Schindler Holding volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Schindler Holding Trend Analysis

Use this graph to draw trend lines for Schindler Holding AG. You can use it to identify possible trend reversals for Schindler Holding 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 Schindler Holding price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

Schindler Holding Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Schindler Holding AG applied against its price change over selected period. The best fit line has a slop of   0.09  , which means Schindler Holding AG will continue generating value for investors. It has 122 observation points and a regression sum of squares at 293.7, which is the sum of squared deviations for the predicted Schindler Holding price change compared to its average price change.

About Schindler Holding 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 Schindler Holding 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 Schindler Holding AG based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Schindler Holding price pattern first instead of the macroeconomic environment surrounding Schindler Holding. By analyzing Schindler Holding'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 Schindler Holding'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 Schindler Holding specific price patterns or momentum indicators. Please read more on our technical analysis page.

Schindler Holding December 23, 2024 Technical Indicators

Most technical analysis of Schindler 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 Schindler from various momentum indicators to cycle indicators. When you analyze Schindler 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.

Complementary Tools for Schindler Pink Sheet analysis

When running Schindler Holding's price analysis, check to measure Schindler 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 Schindler Holding is operating at the current time. Most of Schindler Holding's value examination focuses on studying past and present price action to predict the probability of Schindler 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 Schindler Holding's price. Additionally, you may evaluate how the addition of Schindler Holding to your portfolios can decrease your overall portfolio volatility.
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