I Know First To Democratize AI-Driven Stock Predictions For All

I Know First Research Team LogoThis article was written by the I Know First Research Team.

Summary:

  • Artificial intelligence is being widely used by pig players on the investment scene.
  • While the technology has a lot to offer, advanced models trained by top investment banks are likely to stay out of the reach of broader audience.
  • It is up to ambitious startups like I Know First to democratize AI for all.

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Investment Strategies and AI: New Tools For Time-Proven Practices

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Summary:

  • Choosing the right investment strategy is a major step towards financial well-being.
  • There is a wide range of approaches available for investors with different resource pools and risk appetites.
  • Virtually all of them can be enhanced by using AI-driven investment assistance tools.

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Growing Rich 2.0: AI-Based Tools For Wealth Managers

I Know First Research Team LogoThis article was written by the I Know First Research Team.

Summary:

  • Wealth management industry is disrupted by the rise of AI.
  • New machine-learning based strategies challenge the conventional approaches and dogmas of the sphere.
  • Rather than competing with the machines, wealth managers need to embrace them as a new tool in their arsenal.

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AI in Finance: How Good is Morgan Stanley’s Foray into Deep Learning?

I Know First Research Team LogoThis article was written by the I Know First Research Team.

Summary:

  • Morgan Stanley used artificial intelligence to study thousands of financial reports made by its analysts.
  • The intended outcome was to determine the confidence of the investment bank’s analysts with regards to different stocks.
  • The strategy proved to be immensely successful, with backtests showing positive returns even in 2018 despite the poor performance of the market during that period.

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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?

I Know First Research Team LogoThis article was written by the I Know First Research Team.

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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Keep Calm & Trust Your Data: AI And Stock Market Irrationality

I Know First Research Team LogoThis article was written by the I Know First Research Team.

One of the most common themes you find in many mythologies across the globe is that of order and chaos. The world as we know it, in all its orderly (or at least more orderly than not) glory, is emerging from the state of complete and utter entropy. This can be seen as a metaphor for many things, from organic life coming into existence in the primordial broth to the way the first humans explored their environment, rationalizing their experiences in ways that made sense in the existing system of knowledge. Rationalizing is the keyword here: it does not take a stretch of the imagination to view

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

I Know First Research Team LogoThis article was written by the I Know First Research Team.

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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