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published in Blogs

May 17, 2019

Big U.S. hedge funds show confidence in FAANG stocks again

After initially withdrawing shares from the FAANG components - Facebook Inc (FB), Apple Inc (AAPL), Amazon.com Inc (AMZN), Netflix Inc (NFLX) and Alphabet Inc (GOOG, GOOGL) - it seems that some of the highest-profile U.S. hedge fund investors and money managers fell back in love with FAANGs again during the first quarter.

According to regulatory filings released on Wednesday, prominent hedge fund managers including names like Tiger Global Management LLC have changed their minds on the FAANG stocks and are reinvesting.

Tiger increased its Facebook stake by 64.5% to 8.8 million class A shares during the first quarter. It also boosted its stake in streaming company Netflix by 42.8% to 2.1 million shares. Soros Fund Management LLC opened a new stake in Netflix, holding 50,000 shares, at the end of March 2019. T. Rowe Price also added Facebook shares during the first quarter, increasing its stake by 19% to 107.9 million shares, as of the end of first quarter.

With these additions, Netflix shares gained 2.7% to close at $354.99 and Facebook gained 3.1% to close at $186.27.

Netflix has surged 33% year to date, despite threats from the upcoming Disney+ (DIS). On the other hand, Facebook surged more than 40% in 2019 owing to growth in ad sales.

Warren Buffett’s Berkshire Hathaway Inc said it owned $860.6 million of Amazon shares at the end of March revealing that Berkshire took a stake in the first quarter totaling 483,300 shares.

Quarterly disclosures of hedge fund managers’ stock holdings are revealed by the 13F filings of the fund houses with the SEC. It is one of the few publicly available documents that helps in tracking what the managers are buying and selling, but with the disclosures coming 45 days after the end of each quarter it’s likely not to reflect the current positions.

Related Tickers: META

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