Jinkosolar Holding Stock Math Operators Indexes of lowest and highest values

JKS Stock  USD 21.67  0.74  3.30%   
JinkoSolar Holding math operators tool provides the execution environment for running the Indexes of lowest and highest values operator and other technical functions against JinkoSolar Holding. JinkoSolar 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 math operators indicators. As with most other technical indicators, the Indexes of lowest and highest values operator function is designed to identify and follow existing trends. Math Operators module provides interface to determine different price movement patterns of similar pairs of equity instruments such as null and JinkoSolar Holding. Please specify Time Period to run this model.

The output start index for this execution was twenty-three with a total number of output elements of thirty-eight. The Indexes of lowest and highest values over a specified period line shows minimum and maximum index of JinkoSolar Holding price series.

JinkoSolar Holding Technical Analysis Modules

Most technical analysis of JinkoSolar 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 JinkoSolar from various momentum indicators to cycle indicators. When you analyze JinkoSolar 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 JinkoSolar 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 JinkoSolar Holding. We use our internally-developed statistical techniques to arrive at the intrinsic value of JinkoSolar Holding based on widely used predictive technical indicators. In general, we focus on analyzing JinkoSolar Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build JinkoSolar Holding's daily price indicators and compare them against related drivers, such as math operators 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 JinkoSolar Holding's intrinsic value. In addition to deriving basic predictive indicators for JinkoSolar Holding, we also check how macroeconomic factors affect JinkoSolar Holding price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2022 2023 2024 (projected)
Dividend Yield0.03770.04340.0412
Price To Sales Ratio0.170.130.12
Hype
Prediction
LowEstimatedHigh
15.2721.6728.07
Details
Intrinsic
Valuation
LowRealHigh
13.2119.6126.01
Details
Naive
Forecast
LowNextHigh
11.8618.2624.66
Details
7 Analysts
Consensus
LowTargetHigh
45.8450.3755.91
Details

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Additional Tools for JinkoSolar Stock Analysis

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