Find your way Market Summary What`s new AI Robots 1-on-1 lessons Help Sale

published in Blogs

Jun 20, 2019

Oracle ( ORCL, $52.69) crushes fiscal Q4 earnings and revenue expectations; shares jump +7% in after-hours trade

Oracle topped analysts’ fiscal fourth quarter expectations on earnings and revenue, sending its shares soaring to almost +7% during after-hours trading Wednesday.

The software and cloud technology company raked in adjusted earnings of $1.16 per share during the quarter, exceeding analysts’ estimate of $1.07 per share (based on Refinitiv poll of analysts).

The company’s revenue of $11.14 billion also came in higher than the $10.93 billion expected by analysts (based on Refinitiv poll). Oracle’s largest business segment, Cloud Services and License Support, generated $6.80 billion in revenue, beating consensus estimate of $6.76 billion (based on analysts’ poll by FactSet).

Looking ahead, Oracle expects earnings in the range of 80 cents to 82 cents per share, excluding certain items, and revenue growth of flat to 2 percent for the first quarter of the 2020 fiscal year. Analysts polled by Refinitiv had predicted 80 cents per share for the quarter on 1.7% revenue growth.

For the full fiscal year 2020, the company projects that earnings per share would experience double-digit growth, and that revenue would grow faster compare to last year in constant currency. Analysts polled by Refinitiv had expected full-year guidance of $3.79 in earnings per share, excluding certain items, (i.e. growth of 9.9%), on $40.17 billion – implying a revenue growth of 2.2%, which is higher than the almost flat revenue in the prior year.

Recently, Oracle Corp. joined hands with Microsoft Corp. on a cloud interoperability partnership, that would enable customers to migrate and run mission-critical enterprise workloads across Microsoft Azure and Oracle Cloud, as announced by Oracle.

Related Tickers: ORCL

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

Ten thousand hours of active trading, broken down into forty-hour weeks, amounts to almost five years. Having surpassed that milestone myself, I now understand why it's significant for any trader's journey. The early years taught me valuable lessons that have shaped my approach to trading. It's a misconception that great traders are born with innate talent. The truth is that it takes years of...