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Articles related to "stock"


Dow Futures Stumble Ahead of Ominous Nonfarm Payrolls Report

  • Futures on the Dow and broader U.S. stock market reversed modest gains Thursday evening, as investors paused in anticipation of May employment numbers.
  • Stock futures traded mixed Thursday evening.
  • The Dow eked out modest gains in New York, closing out its longest winning streak since April, even as the S&P 500 and Nasdaq fell.
  • Labor economists will release a fresh batch of employment data Friday morning, setting the stage for a potentially sharp response from the stock market.
  • Despite ADP’s better-than-expected report, official nonfarm payrolls data are expected to show a decline of 8 million jobs in May due to the ongoing layoffs.
  • A shrinking labor market has resulted in a sharp rise in wages as employers adjusted to the new lockdown reality.
  • In a separate report released Thursday, the Commerce Department said imports plunged 13.7% in April while exports fell 20.5%.

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US billionaires have become $565 billion richer during the pandemic

  • The acceleration of wealth for the richest Americans is being driven by the remarkable recovery of the stock market, which has skyrocketed in large part because of unprecedented action from the Federal Reserve.
  • The net worth of Mark Zuckerberg, the company's co-founder and CEO, has climbed $30.1 billion since March 18, the IPS report found.
  • The net worth of Tesla boss Elon Musk, Google founders Sergey Brin and Larry Page and former Microsoft CEO Steve Ballmer have all climbed by $13 billion or more apiece since March 18, the report found.
  • Economists expect Friday's jobs report to show the United States lost another 8 million jobs in May, lifting the pandemic tally to 28.5 million -- three times the number of jobs lost during the Great Recession.

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Dow Stumbles as Wall Street Debates the Case for Negative Rates

  • The Dow Jones went nowhere on Thursday after another miserable jobless claims report snapped the U.S. stock market’s weeklong rally.
  • As the employment crisis deepens in the United States, it seems more and more likely the Federal Reserve could turn to negative interest rates.
  • Dow bulls have proven extremely reluctant to slow down their buying, even as economic fundamentals have collapsed.
  • This means most bulls have no fear of interest rates heading higher; in fact, many believe that negative interest rates are more likely than a hike.
  • The Federal Reserve is likely to announce that it is considering negative interest rates at its next meeting on the 10th.
  • It was a good thing for bulls that Boeing had such an excellent day, because two of the Dow Jones’ most heavily weighted stocks, UnitedHealth Group and Apple, were in the red.

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Zoom and Tesla have grown faster than any other NASDAQ 100 stock this year

  • Indeed, both Zoom and Tesla have multiplied their market caps this year, growth that outstrips every single company in the NASDAQ 100 (a popular index of large-cap stocks that includes tech’s biggest firms).
  • Zoom, the free video conferencing app that rose to prominence as COVID-19 spread across the world, started the year with a $18.99 billion market cap.
  • And as for which firms have lost the most: the NASDAQ 100’s bottom five (in terms of market cap growth) consists of travel stocks United Airlines and Marriott (-55% and -33%); cloud computing firm NetApp (-30%); storage device prince Western Digital (-30%); and retail lord Walgreen Boots (-27%).
  • Considering how volatile the stock market has been this year, it’s certainly not too late for the company to suddenly undo all of its miraculous growth.

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Corr2Vec: a WaveNet architecture for Feature Engineering in Financial Market

  • It receives temporal sequences of stock prices, plus other external data sources, and returns a learned numerical representation of them.
  • The learning process is computed using the correlation indexes as discriminator terms for our neural network architecture.
  • What our network learns is a flatten embedding representation from a 3D sequence of multiple data sources.
  • These embeddings are obtained inside a network that tries to reproduce the correlation indexes between closing prices of desired stocks.
  • We expect that our network can produce similar representations for sequence blocks of the same stock that shows a similar correlation degree.
  • The outputs are the correlation coefficients of closing prices between sequence pairs of different stocks (in the same period).
  • The training process was carried out using a WaveNet structure to capture hidden patterns and assembling different data sources.

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The Stock Market's Greatest Rally In History Will Continue - Here's Why

  • With the Federal Reserve driving this run, expect the S&P 500 to post a new all-time high in the coming months.
  • From a logical standpoint, the stock market should be tanking to reflect the actual state of America’s economy.
  • One powerful engine is behind the stock market rally.
  • Critics say the Federal Reserve’s unlimited money printing capabilities are keeping stock on fire.
  • Under Jerome Powell’s leadership, the Fed has flooded the financial system with money through a $1.2 trillion bond-buying program.
  • With the Federal Reserve’s buying spree of government and corporate bonds, asset holders such as mutual funds and pension funds suddenly have hundreds of billions of dollars in capital.
  • The influx of fresh liquidity is then funneled into the stock market.
  • Mutual funds and pension funds are confident that their investments will appreciate as long as the Federal Reserve continues to supply liquidity.

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'Child's Play': Short-Seller Targets Every Millennial's New Favorite Stock

  • Award-winning short-seller Andrew Left has singled out Genius Brands as a grossly overvalued stock, and the Citron Research founder says investors are about to get burned.
  • Short interest in Genius Brands has exploded since May, in parallel with Genius’ rise.
  • Within the past week, nearly 105,000 new investors have purchased GNUS shares, according to data from Robintrack.
  • But as excited as millennial traders are about Genius – the trading platform’s average user is just 30 years old –  legendary short-seller Citron Research believes it’s a dud.
  • That Andrew Left and Citron Research have singled Genius Brands out for short-selling is significant.
  • Between the end of April and May 15, Genius shorts surged by 3,790% to roughly 3 million shares.
  • According to S3 Partners, short interest in GNUS has exploded to 9.47 million shares since then.

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Corr2Vec: a WaveNet architecture for Feature Engineering in Financial Market

  • It receives temporal sequences of stock prices, plus other external data sources, and returns a learned numerical representation of them.
  • The learning process is computed using the correlation indexes as discriminator terms for our neural network architecture.
  • What our network learns is a flatten embedding representation from a 3D sequence of multiple data sources.
  • These embeddings are obtained inside a network that tries to reproduce the correlation indexes between closing prices of desired stocks.
  • We expect that our network can produce similar representations for sequence blocks of the same stock that shows a similar correlation degree.
  • The outputs are the correlation coefficients of closing prices between sequence pairs of different stocks (in the same period).
  • The training process was carried out using a WaveNet structure to capture hidden patterns and assembling different data sources.

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Corr2Vec: a WaveNet architecture for Feature Engineering in Financial Market

  • It receives temporal sequences of stock prices, plus other external data sources, and returns a learned numerical representation of them.
  • The learning process is computed using the correlation indexes as discriminator terms for our neural network architecture.
  • What our network learns is a flatten embedding representation from a 3D sequence of multiple data sources.
  • These embeddings are obtained inside a network that tries to reproduce the correlation indexes between closing prices of desired stocks.
  • We expect that our network can produce similar representations for sequence blocks of the same stock that shows a similar correlation degree.
  • The outputs are the correlation coefficients of closing prices between sequence pairs of different stocks (in the same period).
  • The training process was carried out using a WaveNet structure to capture hidden patterns and assembling different data sources.

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The ‘average’ Robinhood trader is no match for the S&P 500, just like Buffett

  • Now, fresh analysis has shown that the average Robinhood trader hasn’t just underperformed in 2020 — they’ve also posted 6.2% fewer returns than the S&P 500 (a basic index of top US companies) over the past two years.
  • Research firm QuiverQuant’s Robinhood portal works like this: the firm uses Robinhood’s public API feeds to backtest the performance of a portfolio that’s weighted to the number of Robinhood users holding each stock.
  • What’s particularly crushing is that the S&P 500 was ahead of the average Robinhood user over the entire chart (although, the two did perform similarly for a brief period in May 2019).
  • But the S&P 500 has beaten his flagship fund Berkshire Hathaway over the past decade — just like the average Robinhood trader in the chart above.
  • So, whether you’re Warren Buffett or the “average” Robinhood trader, turns out it’s tough to beat the sheer momentum powering the US’ largest companies.

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