Can a Machine Beat the Stock Market?

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

Executive Summary

Recently, several articles expressed opinion that artificial intelligence and machine learning will never beat the stock market. According to a report published by Allied Market Research, the global neural network market was valued at $7.03 billion in 2016, and is estimated to reach at $38.71 billion by 2023. The rapid development of computational powers and the fast pace of changes in the stock market forces investors to wonder whether they should trust machines to predict the stock market or continue to use old-fashioned methods.

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Coronavirus Stock Market: A Post-pandemic Stock Market Glimpse

This Coronavirus stock market prediction article is written by Hao Liu, Financial Analyst at I Know First.

Summary:

  • The macroeconomy of the post-pandemic world features large deficit and debt, and globalization will be much weaker than nowadays.
  • Tech and healthcare are definitely sectors that investors should include in their post-pandemic portfolios.
  • Two strategies to outperform the post Coronavirus stock market is either to invest in cheaper stocks now and then wait, or to invest in stocks with strong resilience and strong balance sheets (e.g., FB, NFLX).
  • During this complex time, it’s crucial to include logarithmic predictions into investing strategy.

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

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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I Know First’s Successful Prediction of Global Stock Market Decline

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

Summary:

  • Decline in Global Stock Indexes from 10 May 2019
  • Trade War between China and US affecting S&P500, DJI and NASDAQ
  • Companies Affected by Trade War include AAPL, NKE and BMWYY

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Artificial Intelligence Trading – Assault On Financial Sector: AI Is Beating Many Stock Pickers

The article was written by Aline Rzetelna, a Financial Analyst at I Know First

 Summary:

  • Artificial Intelligence and the Financial Sector
  • IBM's Watson Supercomputer
  • BlackRock Landing On Artificial Intelligence
  • UBS AG Implementing Artificial Intelligence Solutions
  • JPMorgan Deploys Mosaic Smart Data For Fixed Income Trading Business
  • I Know First Artificial Intelligence Algorithm

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Quick Win By the Algorithm: HRB Rises 18%

Investment Tips from Professionals: Landon Whaley (Whaley Capital Group)

Investment Tips #18

Investment Tips

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Market Data: Price Increase on Market Data Fuels Backlash

BlairThe article was written by Blair Goldenberg, a Financial Analyst at I Know First, and enrolled in a Masters of Finance at Colorado State University.

Market Data

Price Increase on Market Data Fuels Backlash

Summary

  • Market Data
  • Changes on Wall Street
  • Competition on Market Data
  • Effects of the Price Increase

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