BLMN Bloomin' Brands Stock Forecast Outlook:Negative Period (n+6m) 25 Feb 2021


Stock Forecast


As of Fri Feb 26 2021 00:00:03 GMT+0000 (Coordinated Universal Time) shares of BLMN Bloomin' Brands -5.55 percentage change in price since the previous day's close. Around 2652157 of 87575000 changed hand on the market. The Stock opened at 26.52 with high and low of 24.31 and 26.66 respectively. The price/earnings ratio is: - and earning per share is -1.85. The stock quoted a 52 week high and low of 4.54 and 26.74 respectively.

BOSTON (AI Forecast Terminal) Thu, Feb 25, '21 AI Forecast today took the forecast actions: In the context of stock price realization of BLMN Bloomin' Brands 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 BLMN Bloomin' Brands 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 BLMN Bloomin' Brands as below:

BLMN Bloomin' Brands Credit Rating Overview


We rerate BLMN Bloomin' Brands 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+6m) simulate with Bollinger Bands Width Simple Regression. Reference code is: 4246. Beta DRL value REG 48 Rational Demand Factor LD 5972.198399999999. For companies that engage in reverse factoring--where accounts payable (AP) days are extended beyond the term customary for the industry and supply chain--we assess the likelihood and potential impact on liquidity of these arrangements ceasing to exist. In such a scenario, a company could be subject to material working capital outflows if AP days with its suppliers revert back to industry norms. Accordingly, we exclude these arrangements from sources of liquidity. 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 BLMN Bloomin' Brands as below:
Frequently Asked QuestionsQ: What is BLMN Bloomin' Brands stock symbol?
A: BLMN Bloomin' Brands stock referred as NASDAQ:BLMN
Q: What is BLMN Bloomin' Brands stock price?
A: On share of BLMN Bloomin' Brands stock can currently be purchased for approximately 25.04
Q: Do analysts recommend investors buy shares of BLMN Bloomin' Brands ?
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 BLMN Bloomin' Brands at daily forecast section
Q: What is the earning per share of BLMN Bloomin' Brands ?
A: The earning per share of BLMN Bloomin' Brands is -1.85
Q: What is the market capitalization of BLMN Bloomin' Brands ?
A: The market capitalization of BLMN Bloomin' Brands is 2192878080
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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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