Future Consumer Ltd. Stock Forecast Outlook:Negative Period (n+15) 22 May 2020

Stock Forecast

As of Fri May 22 2020 11:51:32 GMT+0000 (Coordinated Universal Time) shares of Future Consumer Ltd. -2.63 percentage change in price since the previous day's close. Around 962970 of 1916062720 changed hand on the market. The Stock opened at 7.7 with high and low of 7.4 and 7.7 respectively. The price/earnings ratio is: #N/A and earning per share is -0.17. The stock quoted a 52 week high and low of 5.75 and 48.9 respectively.

BOSTON (AI Forecast Terminal) Fri, May 22, '20 AI Forecast today took the forecast actions: In the context of stock price realization of Future Consumer Ltd. 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+15) for Future Consumer Ltd. 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 Future Consumer Ltd. as below:

Future Consumer Ltd. Credit Rating Overview

We rerate Future Consumer Ltd. because negative outlook reflects low visibility over the company's deleveraging in the next 12 months. We use econometric methods for period (n+15) simulate with Commodity Channel Index Ridge Regression. Reference code is: 4520. Beta DRL value REG 29 Rational Demand Factor LD 4124.232. Other factors we consider include a company's frequency of debt issuance and market access, especially during times of company-specific stress or credit market turbulence. 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 Future Consumer Ltd. as below:
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