Kingstone Companies Stock Overlap Studies Parabolic SAR

KINS Stock  USD 15.15  1.32  9.54%   
Kingstone Companies overlap studies tool provides the execution environment for running the Parabolic SAR study and other technical functions against Kingstone Companies. Kingstone Companies 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 overlap studies indicators. As with most other technical indicators, the Parabolic SAR study function is designed to identify and follow existing trends. Kingstone Companies overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify Acceleration Factor and AF Maximum to execute this module.

The output start index for this execution was one with a total number of output elements of sixty. The Parabolic SAR indicator is used to determine the direction of Kingstone Companies's momentum and the point in time when Kingstone Companies has higher than normal probability directional change.

Kingstone Companies Technical Analysis Modules

Most technical analysis of Kingstone Companies 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 Kingstone from various momentum indicators to cycle indicators. When you analyze Kingstone 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 Kingstone Companies 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 Kingstone Companies. We use our internally-developed statistical techniques to arrive at the intrinsic value of Kingstone Companies based on widely used predictive technical indicators. In general, we focus on analyzing Kingstone Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Kingstone Companies's daily price indicators and compare them against related drivers, such as overlap studies 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 Kingstone Companies's intrinsic value. In addition to deriving basic predictive indicators for Kingstone Companies, we also check how macroeconomic factors affect Kingstone Companies price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2022 2023 2024 (projected)
Dividend Yield0.03210.0890.08010.0841
Price To Sales Ratio0.330.110.190.18
Hype
Prediction
LowEstimatedHigh
10.1514.2218.29
Details
Intrinsic
Valuation
LowRealHigh
5.549.6116.67
Details
Naive
Forecast
LowNextHigh
12.0216.0920.16
Details
1 Analysts
Consensus
LowTargetHigh
1.091.201.33
Details

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Additional Tools for Kingstone Stock Analysis

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