EFL Electrovaya Inc. Stock Forecast Period (n+1y) 28 Apr 2021


Stock Forecast


As of Tue Apr 27 2021 23:00:00 GMT+0000 (Coordinated Universal Time) shares of EFL Electrovaya Inc. 0.63 percentage change in price since the previous day's close. Around 154876 of 133603000 changed hand on the market. The Stock opened at 1.59 with high and low of 1.53 and 1.62 respectively. The price/earnings ratio is: 148.46 and earning per share is 0.01. The stock quoted a 52 week high and low of 0.18 and 2.5 respectively.

BOSTON (AI Forecast Terminal) Wed, Apr 28, '21 AI Forecast today took the forecast actions: In the context of stock price realization of EFL Electrovaya Inc. 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 EFL Electrovaya Inc. 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 EFL Electrovaya Inc. as below:

EFL Electrovaya Inc. Credit Rating Overview


We rerate EFL Electrovaya Inc. because of trading gains and other market-sensitive income to total revenues. We use econometric methods for period (n+1y) simulate with Commodity Channel Index Wilcoxon Rank-Sum Test. Reference code is: 2050. Beta DRL value REG 38 Rational Demand Factor LD 6782.9328. Likewise, we do not consider factoring programs under sources of liquidity. Unlike asset-based lending (ABL) facilities, factoring is more of a sales transaction and not a loan. In addition, these transactions tend to be very short term. For this reason, we would not consider them a committed source of future liquidity over a 12-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 EFL Electrovaya Inc. as below:
Frequently Asked QuestionsQ: What is EFL Electrovaya Inc. stock symbol?
A: EFL Electrovaya Inc. stock referred as TSE:EFL
Q: What is EFL Electrovaya Inc. stock price?
A: On share of EFL Electrovaya Inc. stock can currently be purchased for approximately 1.59
Q: Do analysts recommend investors buy shares of EFL Electrovaya Inc. ?
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 EFL Electrovaya Inc. at daily forecast section
Q: What is the earning per share of EFL Electrovaya Inc. ?
A: The earning per share of EFL Electrovaya Inc. is 0.01
Q: What is the market capitalization of EFL Electrovaya Inc. ?
A: The market capitalization of EFL Electrovaya Inc. is 222855676
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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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