Stocks to buy

Once people are done fawning over generative AI, investors might think, “what will be the next big thing?” The field of quantum computing may be just that. Quantum computing has the potential to solve complex problems that generally slow down classical computers, such as optimization, cryptography, machine learning, and simulation. While quantum computing technology may still be
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The stock market has seen a remarkable surge in recent months, climbing 21% since the end of October. Rallies as strong as this one tend to yield several stock winners, which in this case are primarily GenAI-focused companies.  Some analysts believe this rally could extend through 2024, contingent on several key factors. One of the key
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Investors in the vulnerable global economy constantly seek the Holy Grail: stocks immune to economic downturns. As the stock markets sway with economic and geopolitical uncertainty winds, finding those rare diamonds can feel like navigating a labyrinth blindfolded. However, seven solid companies weather the storm amidst the chaos and emerge stronger. Below are seven stocks
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As far as recent earnings are concerned, Q4 2023 looked impressive for the advertising giant Alphabet (NASDAQ:GOOG, NASDAQ:GOOGL). The company reported strong 13% revenue growth, with advertising revenues expected to climb further in 2024, driven by events like the Olympics and Elections. While ads dominate, Google Cloud’s revenue surged from $7.3 billion to $9.2 billion
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With new innovation, high demand for better treatment, pharmaceutical companies strengthening pipelines and a resurgence of mergers and acquisitions, biotech stocks could offer some of the most explosive opportunities of the year. “What’s more, big pharmaceutical companies with sizable piles of cash and the need to address patent expirations on some top-selling products later this
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Much like artificial intelligence, machine learning has become essential for companies all around the world. Better, as more companies wake up to the opportunity, it’s creating massive opportunity for machine learning stocks. Look at Netflix (NASDAQ:NFLX), for example. The company saved about $1 billion thanks to its “machine learning algorithm for the combined effect of personalization and
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While exploring investment opportunities, identifying stocks with the potential for exponential growth takes a lot of energy. Amidst the ongoing flux of markets, certain stocks offer the possibility of transforming modest investments into substantial gains. Here are three stocks to buy, each presenting a compelling case to amplify portfolio returns. These companies span semiconductor equipment,
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In the dynamic cryptocurrency landscape, presales provide early access to emerging tokens. February 2024 showcases notable presale events, offering enthusiasts a glimpse into potential future trends. The market of tokens gained traction in the financial sector and has made investors buy them. Indeed, 2023 was a comeback year for cryptocurrencies, but the market is optimistic
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After years of warnings about peak oil, we don’t hear too much about that possibility anymore. The world is actually awash in fossil fuels and ongoing advances in exploration and exploitation means accessing reserves will be a continuing pursuit. But the world also needs oil and natural gas. Although alternative fuel sources are growing, they
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Uncovering the illusive secrets with stocks to double your money is an endeavor that captures the imagination of many. But the quest for lucrative opportunities becomes increasingly challenging with the constant noise.  There are a multitude of companies with huge growth tailwinds, each representing unique potential for growth and value creation. While inherent risks certainly
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Valued at $591.8 billion in 2022, the global semiconductor market is expected to reach $1.88 trillion by 2032, exhibiting a CAGR of 12.28%. The rising penetration of digital technologies largely propels this growth, rapid adoption of AI and growing demand in the industrial and automotive industries have largely propelled this growth. This data demonstrates that
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