SCPL SciPlay Corporation Stock Forecast Period (n+3m) 17 Feb 2021


Stock Forecast


As of Wed Feb 17 2021 00:00:02 GMT+0000 (Coordinated Universal Time) shares of SCPL SciPlay Corporation 0.49 percentage change in price since the previous day's close. Around 0 of 22857000 changed hand on the market. The Stock opened at 20.64 with high and low of 19.97 and 21 respectively. The price/earnings ratio is: 23.44 and earning per share is 0.88. The stock quoted a 52 week high and low of 5.82 and 21.5 respectively.

BOSTON (AI Forecast Terminal) Wed, Feb 17, '21 AI Forecast today took the forecast actions: In the context of stock price realization of SCPL SciPlay Corporation 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+3m) for SCPL SciPlay Corporation 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 SCPL SciPlay Corporation as below:

SCPL SciPlay Corporation Credit Rating Overview


We rerate SCPL SciPlay Corporation because In addition to the risk weight based on revenues by business line, we apply a risk weight of 6.25% to cash and money market. We use econometric methods for period (n+3m) simulate with Cross-Coupled Oscillators Stepwise Regression. Reference code is: 2403. Beta DRL value REG 47 Rational Demand Factor LD 6238.386. The EBITDA declines companies would have to withstand and still have defined sources cover defined uses are as follows for each liquidity descriptor: Adequate: Positive A-B, even if forecasted EBITDA declines by 30%.Weak: A/B or A-B reflecting a material deficit over the next 12 months. 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 SCPL SciPlay Corporation as below:
Frequently Asked QuestionsQ: What is SCPL SciPlay Corporation stock symbol?
A: SCPL SciPlay Corporation stock referred as NASDAQ:SCPL
Q: What is SCPL SciPlay Corporation stock price?
A: On share of SCPL SciPlay Corporation stock can currently be purchased for approximately 20.64
Q: Do analysts recommend investors buy shares of SCPL SciPlay Corporation ?
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 SCPL SciPlay Corporation at daily forecast section
Q: What is the earning per share of SCPL SciPlay Corporation ?
A: The earning per share of SCPL SciPlay Corporation is 0.88
Q: What is the market capitalization of SCPL SciPlay Corporation ?
A: The market capitalization of SCPL SciPlay Corporation is 2608980546
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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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