Senstar Technologies Stock Pattern Recognition Doji

SNT Stock  USD 2.98  0.02  0.68%   
Senstar Technologies pattern recognition tool provides the execution environment for running the Doji recognition and other technical functions against Senstar Technologies. Senstar Technologies 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 Doji recognition function is designed to identify and follow existing trends. Senstar Technologies momentum indicators are usually used to generate trading rules based on assumptions that Senstar Technologies trends in prices tend to continue for long periods.

Recognition
The output start index for this execution was ten with a total number of output elements of fifty-one. The function generated a total of eight valid pattern recognition events for the selected time horizon. The Doji is candlestick pattern analysis indicator that fired when Senstar Technologies open and close prices are equal. It suggests that the direction of Senstar Technologies's trend maybe be nearing a turning point.

Senstar Technologies Technical Analysis Modules

Most technical analysis of Senstar Technologies 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 Senstar from various momentum indicators to cycle indicators. When you analyze Senstar 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 Senstar Technologies 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 Senstar Technologies. We use our internally-developed statistical techniques to arrive at the intrinsic value of Senstar Technologies based on widely used predictive technical indicators. In general, we focus on analyzing Senstar Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Senstar Technologies'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 Senstar Technologies's intrinsic value. In addition to deriving basic predictive indicators for Senstar Technologies, we also check how macroeconomic factors affect Senstar Technologies price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2023 2024 (projected)
Dividend Yield0.580.520.55
Price To Sales Ratio1.980.851.13
Hype
Prediction
LowEstimatedHigh
0.152.977.65
Details
Intrinsic
Valuation
LowRealHigh
0.122.477.15
Details

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Additional Tools for Senstar Stock Analysis

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