CGEN Compugen Ltd. Stock Forecast Outlook:Negative Period (n+15) 01 Jun 2021


Stock Forecast


As of Fri May 28 2021 23:00:02 GMT+0000 (Coordinated Universal Time) shares of CGEN Compugen Ltd. -2.78 percentage change in price since the previous day's close. Around 20798 of 83676000 changed hand on the market. The Stock opened at 8.08 with high and low of 7.68 and 8.34 respectively. The price/earnings ratio is: - and earning per share is -0.39. The stock quoted a 52 week high and low of 6.74 and 19.9 respectively.

BOSTON (AI Forecast Terminal) Tue, Jun 1, '21 AI Forecast today took the forecast actions: In the context of stock price realization of CGEN Compugen 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+15) for CGEN Compugen 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 CGEN Compugen Ltd. as below:

CGEN Compugen Ltd. Credit Rating Overview


We rerate CGEN Compugen Ltd. because If a breakdown of revenues by business line is not available, we apply a 188% risk weight to the highest annual revenue of the past three years. (We use econometric methods for period (n+15) simulate with Average True Range (ATR) Logistic Regression). If a company has a credit put that causes debt acceleration or collateral posting due to a downgrade of three notches or less, we would include these requirements under uses of liquidity, per paragraph 30 of the liquidity criteria. For example, if a 'BBB' rated company had a credit put that was triggered with a downgrade to speculative grade, we would include the corresponding cash requirement under uses of liquidity. This is because the criteria evaluate a company's liquidity position during times of stress, when potential downgrades are more likely. 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 CGEN Compugen Ltd. as below:
Frequently Asked QuestionsQ: What is CGEN Compugen Ltd. stock symbol?
A: CGEN Compugen Ltd. stock referred as NASDAQ:CGEN
Q: What is CGEN Compugen Ltd. stock price?
A: On share of CGEN Compugen Ltd. stock can currently be purchased for approximately 7.68
Q: Do analysts recommend investors buy shares of CGEN Compugen 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 CGEN Compugen Ltd. at daily forecast section
Q: What is the earning per share of CGEN Compugen Ltd. ?
A: The earning per share of CGEN Compugen Ltd. is -0.39
Q: What is the market capitalization of CGEN Compugen Ltd. ?
A: The market capitalization of CGEN Compugen Ltd. is 2082681468
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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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