PNTG The Pennant Group Stock Forecast Outlook:Negative Period (n+7) 16 Feb 2021


Stock Forecast


As of Tue Feb 16 2021 20:51:50 GMT+0000 (Coordinated Universal Time) shares of PNTG The Pennant Group -1.44 percentage change in price since the previous day's close. Around 25124 of 28190000 changed hand on the market. The Stock opened at 56.49 with high and low of 54.91 and 57.53 respectively. The price/earnings ratio is: 220.39 and earning per share is 0.26. The stock quoted a 52 week high and low of 9.4 and 69.56 respectively.

BOSTON (AI Forecast Terminal) Tue, Feb 16, '21 AI Forecast today took the forecast actions: In the context of stock price realization of PNTG The Pennant Group 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+7) for PNTG The Pennant Group 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 PNTG The Pennant Group as below:

PNTG The Pennant Group Credit Rating Overview


We rerate PNTG The Pennant Group because of business mix, revenue stability, market position, and customer base (confidence sensitivity of clients and other outside commercial parties). In situations where profitability has a material negative impact on market position, this may limit the assessment. We use econometric methods for period (n+7) simulate with Anomaly Factor. Reference code is: 2635. Beta DRL value REG 32 Rational Demand Factor LD 6274.0482. Given that we exclude proposed "best efforts" or potential financings as a source of liquidity, we also exclude from uses of liquidity acquisitions and other discretionary spending that are contingent on the successful issuance of new financing to support the proposed transaction. 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 PNTG The Pennant Group as below:
Frequently Asked QuestionsQ: What is PNTG The Pennant Group stock symbol?
A: PNTG The Pennant Group stock referred as NASDAQ:PNTG
Q: What is PNTG The Pennant Group stock price?
A: On share of PNTG The Pennant Group stock can currently be purchased for approximately 56.26
Q: Do analysts recommend investors buy shares of PNTG The Pennant Group ?
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 PNTG The Pennant Group at daily forecast section
Q: What is the earning per share of PNTG The Pennant Group ?
A: The earning per share of PNTG The Pennant Group is 0.26
Q: What is the market capitalization of PNTG The Pennant Group ?
A: The market capitalization of PNTG The Pennant Group is 1585969352
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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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