CGY Calian Group Ltd. Stock Forecast Period (n+6m) 09 Mar 2021


Stock Forecast


As of Tue Mar 09 2021 00:00:00 GMT+0000 (Coordinated Universal Time) shares of CGY Calian Group Ltd. 1.09 percentage change in price since the previous day's close. Around 5261 of 9920000 changed hand on the market. The Stock opened at 63.49 with high and low of 63.16 and 64.65 respectively. The price/earnings ratio is: 32.9 and earning per share is 1.94. The stock quoted a 52 week high and low of 31.29 and 71.91 respectively.

BOSTON (AI Forecast Terminal) Tue, Mar 9, '21 AI Forecast today took the forecast actions: In the context of stock price realization of CGY Calian Group Ltd. 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+6m) for CGY Calian Group Ltd. 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 CGY Calian Group Ltd. as below:

CGY Calian Group Ltd. Credit Rating Overview


We rerate CGY Calian Group Ltd. because of strategic positioning, operational performance, organizational effectiveness, risk and financial management, and governance. We use econometric methods for period (n+6m) simulate with Williams %R Paired T-Test. Reference code is: 1780. Beta DRL value REG 12 Rational Demand Factor LD 5951.0598. The various qualitative factors in the criteria help to identify strengths and weaknesses within a company's future liquidity position that numerical ratios might not fully capture. While there is no size bias in our liquidity assessment, generally, lower-rated entities might meet the quantitative requirements for strong or exceptional liquidity but fail to meet corresponding qualitative factors. 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 CGY Calian Group Ltd. as below:
Frequently Asked QuestionsQ: What is CGY Calian Group Ltd. stock symbol?
A: CGY Calian Group Ltd. stock referred as TSE:CGY
Q: What is CGY Calian Group Ltd. stock price?
A: On share of CGY Calian Group Ltd. stock can currently be purchased for approximately 63.9
Q: Do analysts recommend investors buy shares of CGY Calian Group Ltd. ?
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 CGY Calian Group Ltd. at daily forecast section
Q: What is the earning per share of CGY Calian Group Ltd. ?
A: The earning per share of CGY Calian Group Ltd. is 1.94
Q: What is the market capitalization of CGY Calian Group Ltd. ?
A: The market capitalization of CGY Calian Group Ltd. is 633888015
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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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