Alibaba Group Holding Stock Statistic Functions Linear Regression Slope

BABA Stock  USD 68.88  0.06  0.09%   
Alibaba Group statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against Alibaba Group. Alibaba Group 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. Alibaba Group 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
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Linear Regression Slope is the rate of change in Alibaba Group Holding price series over its benchmark or peer price series.

Alibaba Group Technical Analysis Modules

Most technical analysis of Alibaba Group 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 Alibaba from various momentum indicators to cycle indicators. When you analyze Alibaba 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 Alibaba Group 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 Alibaba Group Holding. We use our internally-developed statistical techniques to arrive at the intrinsic value of Alibaba Group Holding based on widely used predictive technical indicators. In general, we focus on analyzing Alibaba Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Alibaba Group'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 Alibaba Group's intrinsic value. In addition to deriving basic predictive indicators for Alibaba Group, we also check how macroeconomic factors affect Alibaba Group 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 Yield0.01242.75E-42.61E-4
Price To Sales Ratio2.19563.04349.7
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Alibaba Group's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
66.6368.8371.03
Details
Intrinsic
Valuation
LowRealHigh
61.9982.1684.37
Details
45 Analysts
Consensus
LowTargetHigh
126.71139.24154.56
Details
Earnings
Estimates (0)
LowProjected EPSHigh
1.991.452.34
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Alibaba Group. Your research has to be compared to or analyzed against Alibaba Group's peers to derive any actionable benefits. When done correctly, Alibaba Group's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Alibaba Group Holding.

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When determining whether Alibaba Group Holding offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Alibaba Group's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Alibaba Group Holding Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Alibaba Group Holding Stock:
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Alibaba Group Holding. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in bureau of labor statistics.
Note that the Alibaba Group Holding information on this page should be used as a complementary analysis to other Alibaba Group's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the AI Investment Finder module to use AI to screen and filter profitable investment opportunities.

Complementary Tools for Alibaba Stock analysis

When running Alibaba Group's price analysis, check to measure Alibaba Group'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 Alibaba Group is operating at the current time. Most of Alibaba Group's value examination focuses on studying past and present price action to predict the probability of Alibaba Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Alibaba Group's price. Additionally, you may evaluate how the addition of Alibaba Group to your portfolios can decrease your overall portfolio volatility.
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Is Alibaba Group's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Alibaba Group. If investors know Alibaba will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Alibaba Group listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
(0.68)
Dividend Share
6.869
Earnings Share
5.35
Revenue Per Share
363.638
Quarterly Revenue Growth
0.051
The market value of Alibaba Group Holding is measured differently than its book value, which is the value of Alibaba that is recorded on the company's balance sheet. Investors also form their own opinion of Alibaba Group's value that differs from its market value or its book value, called intrinsic value, which is Alibaba Group's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Alibaba Group's market value can be influenced by many factors that don't directly affect Alibaba Group's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Alibaba Group's value and its price as these two are different measures arrived at by different means. Investors typically determine if Alibaba Group is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Alibaba Group's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.