REGI Renewable Energy Group Stock Forecast Period (n+1y) 01 Jun 2021


Stock Forecast


As of Tue Jun 01 2021 17:27:14 GMT+0000 (Coordinated Universal Time) shares of REGI Renewable Energy Group 0.69 percentage change in price since the previous day's close. Around 95559 of 47662000 changed hand on the market. The Stock opened at 62.52 with high and low of 61.04 and 62.68 respectively. The price/earnings ratio is: 31.31 and earning per share is 1.96. The stock quoted a 52 week high and low of 22.1 and 117 respectively.

BOSTON (AI Forecast Terminal) Tue, Jun 1, '21 AI Forecast today took the forecast actions: In the context of stock price realization of REGI Renewable Energy 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+1y) for REGI Renewable Energy 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 REGI Renewable Energy Group as below:

REGI Renewable Energy Group Credit Rating Overview


We rerate REGI Renewable Energy Group because of concentration of revenue contribution from different business lines (and products within those lines), geographies, and customers. (We use econometric methods for period (n+1y) simulate with Price ElasticNet Regression). We do not exclude cash that the company needs to maintain to run the business and meet potential working capital requirements. Since working capital outflows are included under uses (B) of liquidity, system-related cash needed to run the business should be included in sources, along with items such as customer advances. 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 REGI Renewable Energy Group as below:
Frequently Asked QuestionsQ: What is REGI Renewable Energy Group stock symbol?
A: REGI Renewable Energy Group stock referred as NASDAQ:REGI
Q: What is REGI Renewable Energy Group stock price?
A: On share of REGI Renewable Energy Group stock can currently be purchased for approximately 61.49
Q: Do analysts recommend investors buy shares of REGI Renewable Energy 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 REGI Renewable Energy Group at daily forecast section
Q: What is the earning per share of REGI Renewable Energy Group ?
A: The earning per share of REGI Renewable Energy Group is 1.96
Q: What is the market capitalization of REGI Renewable Energy Group ?
A: The market capitalization of REGI Renewable Energy Group is 2930765975
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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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