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published in Blogs

Jun 06, 2019

Pivotal Software (PVTL, $10.81 ) issues weaker-than-expected guidance; analysts slash price targets

On Wednesday, Pivotal Software’s latest quarterly results turned several analysts’ cautious on the stock.

Generating an adjusted loss of -3 cents a share for the fiscal first quarter, the cloud-oriented software company fared better compared to analysts’ estimates of -5 cents a share. It is also an improvement over the -10 cents a share loss of the year-ago quarter.

Pivotal’s first quarter revenue of $185.7 million also beat analysts’ expectation of $184.1 million.

However, the company lowered its full-year revenue outlook to a range of $756 million to $767 million, well below analysts’ consensus estimate of $803 million (based on Refinitiv poll).

For the fiscal second quarter in particular, Pivotal expects revenue to range between $185 million to $189 million, lagging the average analyst estimate of $198 million, (based on Refinitiv poll).

Following the report, analysts Daniel Ives and Strecker Backe of Wedbush Securities called Pivotal’s first quarter results a “train wreck” , due to weak billings numbers and lower-than-expected guidance. They lowered their rating on the stock to “neutral” from “outperform”, and slashed their price target to $15 from $26 per share.

Analysts at Needham, on the other hand, maintained their “buy” rating on Pivotal. But they lowered their price target to $21 from $28 per share.

Alex Kurtz and Steven Enders of KeyBanc Capital Markets re-iterated their “overweight” rating on Pivotal, while reducing their price target to $21 from $27.

On Wednesday, Pivotal shares declined more than -40%.

Related Tickers: PVTL

Related Portfolios: APPLICATION SOFTWARE

John Jacques

published in Blogs

May 16, 2022

A.I. Stock Market Predictions: Head & Shoulders

Statistics for the Head-and-Shoulders Bottom Pattern The days where only hedge funds used algorithms to trade stocks are officially over. Now retail investors can use Artificial Intelligence (A.I. Here’s an example of the algorithm in action: Late last year, Tickeron’s A.I.

Edward Flores

published in Blogs

Apr 29, 2022

How to Become the Millionaire Next Door

The Golden Gate Bridge is always a fixture of these walks too, one of man's most beautiful creations. As we were walking, at one point she turned to me and said, "Man, I'll never have a million dollars."" My girlfriend is 27 years old and works as a graphic designer, making about $75,000 a year.

Sergey Savastiouk

published in Blogs

May 16, 2022

When Is the Next Recession Coming?

However, we also know that economists predicted 22 recessions out of 11 that took place since 1945. Are there real recession signs we should watch for?Indeed, the answer is yes, and here are a few very important ones: The first one is almost obvious and known to everyone – it is the Fed.

Sergey Savastiouk

published in Blogs

Mar 14, 2023

How to Start Trading Penny Stocks

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.

Dmitry Perepelkin

published in Blogs

Mar 14, 2023

5 Habits that Lead to Successful Investing

To consistently make money in this industry, you need emotional fortitude, an analytical mind, and a willingness to self-reflect. Despite trading and investing being two different activities, these principles can be applied to both.Conversely, investors with good habits often become great traders. Rather than full sentences for titles, we’ve labeled each of our top-five investing habits using a single word principle.

Allana

published in Blogs

Mar 23, 2023

What’s the Difference Between Data Analytics and Machine Learning?

Artificial intelligence (AI) technology is developing rapidly.Data mining can deliver raw numbers, but it does not necessarily provide actionable insights. Structure is necessary to taking abstract information and extracting commonalities, like averages, ratios, and percentages.

Sergey Savastiouk

published in Blogs

Mar 13, 2023

4 Tips for Fast, Effective Stock Analysis

With just a few clicks, an investor can search for individual stocks, categories of stocks, sectors, or investment themes, and then he or she can conduct a full range of technical and fundamental analysis within seconds.All powered by Artificial Intelligence. Below, we give you 5 tips for fast, effective stock analysis using Tickeron’s Screener.

Sergey Savastiouk

published in Blogs

Mar 20, 2023

5 Golden Principles in Investing

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.

John Jacques

published in Blogs

Mar 24, 2023

If Hedge Funds are Using AI to Invest, Why Shouldn’t You?

Some of the world’s biggest financial institutions have devoted multi-million dollar budgets to developing algorithms that can find patterns in the market, identify trends, and perform automated trading designed to take advantage of even the smallest price movements. The AI revolution is so big that as it stands today, the world’s five biggest hedge funds all use systems-based approaches to trade financial markets.Indeed, quantitative trading hedge funds now manage $918 billion (according to HFR), which amounts to 30% of the $3 trillion hedge fund industry – a percentage continues to grow with each year that passes.

Sergey Savastiouk

published in Blogs

Mar 15, 2023

The five most important Lessons Learned After 10,000 hours of Trading