BPTH Bio Stock Forecast Period (n+30) 27 Feb 2021


Stock Forecast


As of Sat Feb 27 2021 00:00:02 GMT+0000 (Coordinated Universal Time) shares of BPTH Bio 0.31 percentage change in price since the previous day's close. Around 347082 of 6948000 changed hand on the market. The Stock opened at 6.38 with high and low of 6.31 and 6.63 respectively. The price/earnings ratio is: - and earning per share is -3. The stock quoted a 52 week high and low of 2.92 and 24.34 respectively.

BOSTON (AI Forecast Terminal) Sat, Feb 27, '21 AI Forecast today took the forecast actions: In the context of stock price realization of BPTH Bio 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+30) for BPTH Bio 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 BPTH Bio as below:

BPTH Bio Credit Rating Overview


We rerate BPTH Bio because of at least one of the following applies: shareholders are supportive of strong capital, with lower expectations for dividends and share buybacks; the firm has concrete commitments from outside parties to provide it with material amounts of loss-absorbing capital that practically can be exercised while still a going concern; or the firm is at least adequately capitalized and a committed strong financial partner or backer bolsters financial flexibility. We use econometric methods for period (n+30) simulate with Hartley Oscillator Polynomial Regression. Reference code is: 2646. Beta DRL value REG 28 Rational Demand Factor LD 5988.368399999999. For new issuers, while our ratings are prospective, we will not include proposed financing as a source in our liquidity calculations until the financing has been obtained or is fully underwritten. Similarly, we would not include rights issues as a source of liquidity for a company, unless the rights issue is irrevocably guaranteed (for example, an underwriter agrees to buy any securities not taken up by existing holders). 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 BPTH Bio as below:
Frequently Asked QuestionsQ: What is BPTH Bio stock symbol?
A: BPTH Bio stock referred as NASDAQ:BPTH
Q: What is BPTH Bio stock price?
A: On share of BPTH Bio stock can currently be purchased for approximately 6.48
Q: Do analysts recommend investors buy shares of BPTH Bio ?
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 BPTH Bio at daily forecast section
Q: What is the earning per share of BPTH Bio ?
A: The earning per share of BPTH Bio is -3
Q: What is the market capitalization of BPTH Bio ?
A: The market capitalization of BPTH Bio is 45023040
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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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