Jinling Hotel (China) Statistic Functions Linear Regression Slope

601007 Stock   7.37  0.04  0.54%   
Jinling Hotel statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against Jinling Hotel. Jinling Hotel 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 statistic functions indicators. As with most other technical indicators, the Linear Regression Slope function function is designed to identify and follow existing trends. Jinling Hotel statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Execute Function
The output start index for this execution was thirteen with a total number of output elements of fourty-eight. The Linear Regression Slope is the rate of change in Jinling Hotel Corp price series over its benchmark or peer price series.

Jinling Hotel Technical Analysis Modules

Most technical analysis of Jinling Hotel 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 Jinling from various momentum indicators to cycle indicators. When you analyze Jinling 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 Jinling Hotel 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 Jinling Hotel Corp. We use our internally-developed statistical techniques to arrive at the intrinsic value of Jinling Hotel Corp based on widely used predictive technical indicators. In general, we focus on analyzing Jinling Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Jinling Hotel's daily price indicators and compare them against related drivers, such as statistic functions 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 Jinling Hotel's intrinsic value. In addition to deriving basic predictive indicators for Jinling Hotel, we also check how macroeconomic factors affect Jinling Hotel price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
4.927.419.90
Details
Intrinsic
Valuation
LowRealHigh
4.587.079.56
Details
Naive
Forecast
LowNextHigh
4.927.409.89
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.050.050.05
Details

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Jinling Hotel in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Jinling Hotel's short interest history, or implied volatility extrapolated from Jinling Hotel options trading.

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Other Information on Investing in Jinling Stock

Jinling Hotel financial ratios help investors to determine whether Jinling Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Jinling with respect to the benefits of owning Jinling Hotel security.