Schlatter Industries (Switzerland) Price Transform Weighted Close Price

STRN Stock  CHF 22.60  0.20  0.89%   
Schlatter Industries price transform tool provides the execution environment for running the Weighted Close Price transformation and other technical functions against Schlatter Industries. Schlatter Industries value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of price transform indicators. As with most other technical indicators, the Weighted Close Price transformation function is designed to identify and follow existing trends. Schlatter Industries price transformation methods enable investors to generate trading signals using basic price transformation functions such as typical price movement.

Transformation
The output start index for this execution was zero with a total number of output elements of sixty-one. Developed by Larry Williams, the Weighted Close is the average of Schlatter Industries high, low and close of a chart with the close values weighted twice. It can be used to smooth an indicator that normally takes only Schlatter Industries closing price as input.

Schlatter Industries Technical Analysis Modules

Most technical analysis of Schlatter Industries 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 Schlatter from various momentum indicators to cycle indicators. When you analyze Schlatter charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About Schlatter Industries Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Schlatter Industries AG. We use our internally-developed statistical techniques to arrive at the intrinsic value of Schlatter Industries AG based on widely used predictive technical indicators. In general, we focus on analyzing Schlatter Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Schlatter Industries's daily price indicators and compare them against related drivers, such as price transform and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Schlatter Industries's intrinsic value. In addition to deriving basic predictive indicators for Schlatter Industries, we also check how macroeconomic factors affect Schlatter Industries price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
19.5822.6025.62
Details
Intrinsic
Valuation
LowRealHigh
15.9218.9424.86
Details
Naive
Forecast
LowNextHigh
19.6222.6425.66
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
21.9222.8023.68
Details

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Additional Tools for Schlatter Stock Analysis

When running Schlatter Industries' price analysis, check to measure Schlatter Industries' 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 Schlatter Industries is operating at the current time. Most of Schlatter Industries' value examination focuses on studying past and present price action to predict the probability of Schlatter Industries' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Schlatter Industries' price. Additionally, you may evaluate how the addition of Schlatter Industries to your portfolios can decrease your overall portfolio volatility.