Stock Forecast
As of Fri Jan 01 2021 00:00:02 GMT+0000 (Coordinated Universal Time) shares of EPAY Bottomline Technologies 0.21 percentage change in price since the previous day's close. Around 204594 of 45114000 changed hand on the market. The Stock opened at 52.64 with high and low of 52.05 and 53.1 respectively. The price/earnings ratio is: - and earning per share is -0.18. The stock quoted a 52 week high and low of 27.82 and 57.22 respectively.
BOSTON (AI Forecast Terminal) Fri, Jan 1, '21 AI Forecast today took the forecast actions: In the context of stock price realization of EPAY Bottomline Technologies 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+6m) for EPAY Bottomline Technologies as below:
EPAY Bottomline Technologies Credit Rating Overview
We rerate EPAY Bottomline Technologies because of trading gains and other market-sensitive income to total revenues. We use econometric methods for period (n+6m) simulate with Price Channels Independent T-Test. Reference code is: 3132. Beta DRL value REG 43 Rational Demand Factor LD 5150.5272. In these cases, the level of capital expenditures will be lower than estimates in our base-case forecast to determine an issuer's financial risk profile, particularly for companies that are pursuing discrete growth projects that have not been committed or can be easily curtailed in case of a need to preserve cash. 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 EPAY Bottomline Technologies as below:
Frequently Asked Questions
Q: What is EPAY Bottomline Technologies stock symbol?A: EPAY Bottomline Technologies stock referred as NASDAQ:EPAY
Q: What is EPAY Bottomline Technologies stock price?
A: On share of EPAY Bottomline Technologies stock can currently be purchased for approximately 52.74
Q: Do analysts recommend investors buy shares of EPAY Bottomline Technologies ?
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 EPAY Bottomline Technologies at daily forecast section
Q: What is the earning per share of EPAY Bottomline Technologies ?
A: The earning per share of EPAY Bottomline Technologies is -0.18
Q: What is the market capitalization of EPAY Bottomline Technologies ?
A: The market capitalization of EPAY Bottomline Technologies is 2379312435
