YJ Yunji Inc. Stock Forecast Outlook:Negative Period (n+1y) 14 Feb 2021


Stock Forecast


As of Sat Feb 13 2021 00:00:02 GMT+0000 (Coordinated Universal Time) shares of YJ Yunji Inc. -12.11 percentage change in price since the previous day's close. Around 2231837 of 117320400 changed hand on the market. The Stock opened at 3.48 with high and low of 3.25 and 3.63 respectively. The price/earnings ratio is: - and earning per share is -0.05. The stock quoted a 52 week high and low of 1.67 and 6.05 respectively.

BOSTON (AI Forecast Terminal) Sun, Feb 14, '21 AI Forecast today took the forecast actions: In the context of stock price realization of YJ Yunji Inc. is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals.Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network and Support Vector Machines. Machine Learning based technical analysis (n+1y) for YJ Yunji Inc. as below:
Using machine learning modified The random walk index model RWI equivalent to a model of stock market dynamics with price expectations, we analyze the reaction of investors to speculations. Analyzing those data we were able to establish the amount by which each stock felt the speculative attacks, a dampening factor which expresses the capacity of a market of absorving a shock, and also a frequency related with volatility after the speculation. Using the correlation matrices, the speculative buffer for the shares of YJ Yunji Inc. as below:

YJ Yunji Inc. Credit Rating Overview


We rerate YJ Yunji Inc. because of management is often unable to convert strategic decisions into constructive action; often fails to achieve its financial/operational goals. We use econometric methods for period (n+1y) simulate with Volume + Moving Average Polynomial Regression. Reference code is: 3431. Beta DRL value REG 26 Rational Demand Factor LD 6186.0834. For example, if a company incurred a large working capital inflow in the fourth quarter, which more than offset working capital outflows during the first three quarters, we would use the peak working capital outflows within our A/B and A-B calculation. However, we avoid double-counting when the working capital outflow is already captured through our assumption of peak CP amount. Credit Rating AI Process rely on primary sources of information: Sec Filings, Financial Statements, Credit Ratings, Semantic Signals. Take a look at Machine Learning section for Financial Deep Reinforcement Learning.

Oscillators are used for generating credit risk signals by using the semantic and financial signals. The value of the oscillators indicate the strength of trend. Using the correlation matrices, the risk map for YJ Yunji Inc. as below:
Frequently Asked QuestionsQ: What is YJ Yunji Inc. stock symbol?
A: YJ Yunji Inc. stock referred as NASDAQ:YJ
Q: What is YJ Yunji Inc. stock price?
A: On share of YJ Yunji Inc. stock can currently be purchased for approximately 3.34
Q: Do analysts recommend investors buy shares of YJ Yunji Inc. ?
A: Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network and Support Vector Machines. View Machine Learning based technical analysis for YJ Yunji Inc. at daily forecast section
Q: What is the earning per share of YJ Yunji Inc. ?
A: The earning per share of YJ Yunji Inc. is -0.05
Q: What is the market capitalization of YJ Yunji Inc. ?
A: The market capitalization of YJ Yunji Inc. is 709136757
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Disclaimers: AC Investment Inc. currently does not act as an equities executing broker, credit rating agency or route orders containing equities securities. In our Machine Learning experiment, we focus on an approach known as Decision making using game theory. We apply principles from game theory to model the relationships between rating actions, news, market signals and decision making.The rating information provided is for informational, non-commercial purposes only, does not constitute investment advice and is subject to conditions available in our Legal Disclaimer. Usage as a credit rating or as a benchmark is not permitted.

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