Unpacking the Ins and Outs of a Chaotic System – How Can We Predict it

July 16, 2019
I Know First Research Team LogoThis article was written by the I Know First Research Team.

Summary:

  • What is Chaos Theory?
  • Earthquakes – An example of a Natural Chaotic System
  • Randomness vs Chaos 
  • What makes a Chaotic System a Chaotic System
  • Modeling a Chaotic System
  • Can We Really Predict the Stock Market? Psychology of Trading and Feedback Loops

What is Chaos Theory?

Source: Medium

In a chaotic system like weather, a tiny change can make a huge impact. Weather is predicted a few days in advance because small changes in input can produce dramatically different results. 

The most commonly used example to explain chaos theory is the butterfly effect. It says that a butterfly flapping its wings on one end of the world can give rise to a hurricane in another part of the world. It sounds bizarre but it illustrates the huge impact small changes in the factors can have on the outcome. 

Without going into too much mathematical details, I would like to briefly explain how

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AI In Banking: Disrupting the Conventions

July 15, 2019
I Know First Research Team LogoThis article was written by the I Know First Research Team.

Summary:

  • The rise of AI has been a boon for the banking industry.
  • AI technology is being implemented across the board in various aspects of banking.
  • Investment management is an area that can especially benefit from AI-based solutions.

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AI In Forex Trading: Money Loves Smart Tech

July 9, 2019
I Know First Research Team LogoThis article was written by the I Know First Research Team.

Summary:

  • Forex trading is a lucrative area known for a steep learning curve.
  • Its intricate nature makes it tough for beginner traders.
  • AI can help human traders improve their perfomance, making forex trading more accessible.

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

July 9, 2019
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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AI vs Technical Analysis: Can AI Improve Your Stock Trading Strategies?

July 9, 2019

This article on Using AI in Stock Trading Strategies is written by Clarence Toh, an analyst at I know First Ltd.

Summary:

  • Technical Analysis done by humans can be filled with error and biases
  • The presence of AI in finance is growing
  • I Know First algorithm has a major contribution to AI and Technical Analysis in absence of human bias

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Stock Market Predictions: Where In The Feedback Loop Is Your Portfolio?

July 7, 2019

Summary

  • Why you can beat the market, even when it does not seem so.
  • The importance of loops, patterns, and predictable events.
  • Random events are don’t measure risks, and should not affect your decision making.

Some traders follow the trend, and some go against it. At IKnowFirst we work on algorithmic strategies which are neither, we simply try an asses where the next opportunity is. If this means to do what everyone else does, than why not. If it means going against when everyone else does, this is also fine. The tricky part is determining where this opportunities are, this article will discuss how to find opportunities in what can seem as total randomness.

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

July 3, 2019
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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