Vipshop Holdings Limited Stock Statistic Functions Linear Regression

VIPS Stock  USD 13.24  0.24  1.78%   
Vipshop Holdings statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against Vipshop Holdings. Vipshop Holdings 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 function function is designed to identify and follow existing trends. Vipshop Holdings 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 two with a total number of output elements of fifty-nine. The Linear Regression model generates relationship between price series of Vipshop Holdings and its peer or benchmark and helps predict Vipshop Holdings future price from its past values.

Vipshop Holdings Technical Analysis Modules

Most technical analysis of Vipshop Holdings 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 Vipshop from various momentum indicators to cycle indicators. When you analyze Vipshop 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 Vipshop Holdings 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 Vipshop Holdings Limited. We use our internally-developed statistical techniques to arrive at the intrinsic value of Vipshop Holdings Limited based on widely used predictive technical indicators. In general, we focus on analyzing Vipshop Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Vipshop Holdings'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 Vipshop Holdings's intrinsic value. In addition to deriving basic predictive indicators for Vipshop Holdings, we also check how macroeconomic factors affect Vipshop Holdings 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)
Payables Turnover6.965.385.023.42
Days Of Inventory On Hand26.6724.6925.3424.07
Hype
Prediction
LowEstimatedHigh
10.4913.2716.05
Details
Intrinsic
Valuation
LowRealHigh
12.9215.7018.48
Details
Naive
Forecast
LowNextHigh
9.4812.2615.05
Details
25 Analysts
Consensus
LowTargetHigh
17.0418.7220.78
Details

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Additional Tools for Vipshop Stock Analysis

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