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published in Blogs

May 06, 2020

LivePerson (LPSN, $32.32) got price target hikes from 3 analysts

LivePerson shares jumped Wednesday, following stock price target hikes from three analysts.

The conversational commerce and AI software company received price target boost ,from B. Riley, to $36 from $31. B. Riley also reiterated its buy rating.

Jefferies raised the price target to $33 from $27, and also reaffirmed its buy rating. Jefferies analyst Samad Samana mentioned that LivePerson’s major first-quarter increase in messaging volume as the coronavirus pandemic began to spread underscores the value proposition of messaging vs. phone calls.

Mizuho hiked the price target to $40 from $30, reiterating its buy rating too.

LivePerson signed 130 deals in the first quarter,which reflects a year-over-year increase of+ 10%. The figure includes 56 new and 74 existing customer contracts. LivePerson’s revenue was +18% higher in the quarter from a year ago.

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published in Blogs

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Penny stocks have long been marginalized within the professional investment community, oftentimes being painted with a broad brush of simply being “too risky.” Leonardo DiCaprio’s depiction of the penny stock peddling conman, Jordan Belfort, in the Wolf of Wall Street certainly didn’t help.Here are four reasons to start trading them now. Reason #1: Let’s State the Obvious -- Penny Stocks are Cheap A single share of Apple Inc. costs over $350.

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published in Blogs

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published in Blogs

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Sergey Savastiouk

published in Blogs

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You have enough faith in that stock, based on research, that the return will equal or exceed the investment. Do unto others.The principles outlined here will ensure that happens. Principle #1: Diversification Investors can’t be one-dimensional when constructing a portfolio.

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published in Blogs

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published in Blogs

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published in Blogs

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published in Blogs

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published in Blogs

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Artificial Intelligence for Language Translation?

Some use cases – predicting earthquakes, recognizing objects, and comparing medical scans, for example – offer tantalizing glimpses of a promising future.Now, MIT researchers have announced an “unsupervised” language translation model whose early returns signal a future with “faster, more efficient computer-based translations of far more languages.” Most widely-used translation programs (like Google’s) learn via models.

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published in Blogs

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