SoftwareONE Holding (Switzerland) Pattern Recognition Harami Cross Pattern

SWON Stock  CHF 6.40  0.05  0.78%   
SoftwareONE Holding pattern recognition tool provides the execution environment for running the Harami Cross Pattern recognition and other technical functions against SoftwareONE Holding. SoftwareONE Holding 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 pattern recognition indicators. As with most other technical indicators, the Harami Cross Pattern recognition function is designed to identify and follow existing trends. SoftwareONE Holding momentum indicators are usually used to generate trading rules based on assumptions that SoftwareONE Holding trends in prices tend to continue for long periods.

Recognition
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was eleven with a total number of output elements of fifty. The function did not return any valid pattern recognition events for the selected time horizon. The Harami Cross pattern describes SoftwareONE Holding bullish reversal trend.

SoftwareONE Holding Technical Analysis Modules

Most technical analysis of SoftwareONE Holding 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 SoftwareONE from various momentum indicators to cycle indicators. When you analyze SoftwareONE 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 SoftwareONE Holding 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 SoftwareONE Holding AG. We use our internally-developed statistical techniques to arrive at the intrinsic value of SoftwareONE Holding AG based on widely used predictive technical indicators. In general, we focus on analyzing SoftwareONE Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build SoftwareONE Holding's daily price indicators and compare them against related drivers, such as pattern recognition 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 SoftwareONE Holding's intrinsic value. In addition to deriving basic predictive indicators for SoftwareONE Holding, we also check how macroeconomic factors affect SoftwareONE Holding price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
3.616.409.19
Details
Intrinsic
Valuation
LowRealHigh
4.046.839.62
Details
Naive
Forecast
LowNextHigh
3.526.319.10
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
6.307.117.92
Details

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Additional Tools for SoftwareONE Stock Analysis

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