Stock Market Prediction: Are Markets As Chaotic As We Think?

I Know First Research Team LogoThis article was written by the I Know First Research Team and first published on Medium.

Summary:

  • Stock market prediction is one of the most challenging spheres for AI application in finance.
  • The obstacles to overcome include non-stationary data and an abundance of noise.
  • However, various machine learning techniques can be utilized to tackle these issues and help AI in navigating the world of bulls and bears.

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Sector Rotation Strategy And AI: Match Made In Investment Heaven?

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Summary:

  • Sector Rotation Strategy has been a tool of choice for many institutional investors for a long time.
  • It is based on the logic of always betting on the winners and re-balancing portfolio when those start to lose.
  • AI-based tools can help optimize this process, while also making it more accessible for retail investors

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Bitcoin Price Forecast: Waltzing With Volatility

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Summary:

  • Bitcoin is beginning to show signs of waning momentum after strong surge.
  • Nevertheless, despite regainging some ground, current rally unlikely to push it back to late 2017 levels.
  • Despite high volatility and uncertainty, Bitcoin price forecast bullish, with growth expected over the 2019-2020 period.

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AI In Finance Industry: The Future Is Today

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The traditional finance sector as we know it is going through a process of change. As new technologies disrupt the conventions and dogmas, whole industries are transformed, keeping pace with the rapidly-changing world. Finance is no exception to this rule, and, as a sphere that lives and breathes quantitative data (lots and lots of quantitative data!), it has been particularly sensitive to the rise of the artificial intelligence, a technology driven by the computers’ newfound ability to crunch massive troves of data. And while it may or may not be too early to speak of the financial industry

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New Tech For Old Guard: Baby Boomer Investors And AI-Driven Trading

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Currently, the world is abuzz with the talk of millennials – the tech-savvy generation of digital natives who were born in the period from 1984 to 1996. Or from 1980 to 2000, if you ask the Time Magazine, which smartly adds “depending on whom you ask” to this definition. Or from 1977 to 1994, if we cite Newsweek. This disparity in itself suggests a certain confusion around the whole affair with millennials. Even the timeframes we just mentioned

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Applied Artificial Intelligence: How AI Transforms 5 Industries

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In late 18th century, the British textile industry spearheaded a process that would become known as the First Industrial Revolution, which saw first factories appear and new manufacturing processes introduced. Then, the Second Industrial Revolution followed on the back of railroads and telegraphs enabling quick movement of people and ideas and Henry Ford’s moving assembly line beefing up the industrial output to new heights. The Third Industrial Revolution saw manufacturing go digital, with computers brought in to run and streamline the process, and now, some are speaking of a Fourth

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The Man, The Machine, The Legend: AI In Hedge Fund Management

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Virginia Marie Rometty

“Some people call this artificial intelligence, but the reality is this technology will enhance us. So instead of artificial intelligence, I think we’ll augment our intelligence.”

Virginia Marie Rometty, head of IBM.

Robots In The Workplace

As the world embraces the power of artificial intelligence and machine learning, whole industries are transformed to reflect this new reality. AIs are now helping taxi companies identify spots that would see lots of ride requests coming in. They could

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