ACIU AC Immune SA Stock Forecast Outlook:Negative Period (n+30) 15 Feb 2021


Stock Forecast


As of Sat Feb 13 2021 00:00:02 GMT+0000 (Coordinated Universal Time) shares of ACIU AC Immune SA -2.85 percentage change in price since the previous day's close. Around 3351608 of 71859000 changed hand on the market. The Stock opened at 8.01 with high and low of 7.8 and 9.2 respectively. The price/earnings ratio is: - and earning per share is -0.97. The stock quoted a 52 week high and low of 4.07 and 13 respectively.

BOSTON (AI Forecast Terminal) Mon, Feb 15, '21 AI Forecast today took the forecast actions: In the context of stock price realization of ACIU AC Immune SA 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 ACIU AC Immune SA 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 ACIU AC Immune SA as below:

ACIU AC Immune SA Credit Rating Overview


We rerate ACIU AC Immune SA because negative outlook reflects low visibility over the company's deleveraging in the next 12 months. We use econometric methods for period (n+30) simulate with Delay-Line Oscillators Logistic Regression. Reference code is: 3949. Beta DRL value REG 37 Rational Demand Factor LD 6186.0834. Shared facilities with captive finance entities. When an issuer has a shared revolving credit facility with a captive finance entity, for purposes of calculating the issuer's liquidity sources, we net outstanding commercial paper at the captive from the revolver's borrowing availability. In these cases, we generally use an estimate of peak CP borrowings at the captive to avoid potentially overstating sources available to the issuer over a 12- to 24-month period. 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 ACIU AC Immune SA as below:
Frequently Asked QuestionsQ: What is ACIU AC Immune SA stock symbol?
A: ACIU AC Immune SA stock referred as NASDAQ:ACIU
Q: What is ACIU AC Immune SA stock price?
A: On share of ACIU AC Immune SA stock can currently be purchased for approximately 8.19
Q: Do analysts recommend investors buy shares of ACIU AC Immune SA ?
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 ACIU AC Immune SA at daily forecast section
Q: What is the earning per share of ACIU AC Immune SA ?
A: The earning per share of ACIU AC Immune SA is -0.97
Q: What is the market capitalization of ACIU AC Immune SA ?
A: The market capitalization of ACIU AC Immune SA is 588525179
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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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