Vipshop Holdings Limited Stock Math Transform Inverse Tangent Over Price Movement

VIPS Stock  USD 13.48  0.06  0.44%   
Vipshop Holdings math transform tool provides the execution environment for running the Inverse Tangent Over Price Movement transformation 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 math transform indicators. As with most other technical indicators, the Inverse Tangent Over Price Movement transformation function is designed to identify and follow existing trends. Analysts that use price transformation techniques rely on the belief that biggest profits from investing in Vipshop Holdings can be made when Vipshop Holdings shifts in price trends from positive to negative or vice versa.

Transformation
The output start index for this execution was zero with a total number of output elements of sixty-one. Vipshop Holdings Inverse Tangent Over Price Movement function is an inverse trigonometric method to describe Vipshop Holdings price patterns.

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 math transform 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
10.7713.5716.37
Details
Intrinsic
Valuation
LowRealHigh
12.1916.4619.26
Details
Naive
Forecast
LowNextHigh
10.3213.1215.91
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.