Stock Market Prediction: AI And Chaos Theory

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

Rationality and Chaos

There have been many attempts to model the inner workings that make markets tick the way they do, starting from those as fundamental as the Smithsonian unseen hand correcting all the wrongs. However, when it comes to things less abstract and academic, one of the main questions on everybody’s minds is whether market, and, more specifically, stock market predictions are a possibility or not.

stock market predictions
(Source: Pixabay.com)

In extreme cases, both a simple “Yes” and “No” seem to equally contradict the reality on the ground. On the one hand, the famous Efficient

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Stock Market Algorithm: What-If Analysis Response Modeling

taliTali Soroker is a Financial Analyst at I Know First.

Response Modeling


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Artificial Intelligence in Finance: AI is the New Electricity

This article was written by Harry Chiang, a Financial Analyst at I Know First.

Artificial Intelligence in Finance: AI is the New Electricity

Summary:

  • The Birth of AI Banking: Defining Artificial Intelligence
  • The Surprising State of AI and Banking Today
  • Why Are Major Banks Reluctant About AI?
  • The Most Important Developments in AI for Personal Finance
  • Four Major Benefits Consumers are Missing Without AI
  • Case Study: DBS, Digibank & India
  • How I Know First is Changing Banking

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Quantitative Trading: Has Quant Trading Become Outdated?

The article was written by Jordan Klotnick, a Financial Analyst at I Know First. He graduated from Monash University with a Bachelor's in Business - Majoring in Marketing.

Quantitative Trading

Summary 

  • What is Quantitative Trading?
  • Quant Trading vs Managed Funds
  • Artificial Intelligence
  • I Know First and Hedge Funds

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Algorithmic Trading: Evolution of Algorithmic Trading

Tomer Solel is a Financial Analyst at I Know First. He graduated from Cal Poly Pomona with a bachelor's degree in applied mathematics.

  • The two methods used for algotrading are high frequency and quantitative trading.
  • The steps in understating machine learning include providing framework, giving examples to learn from, fitness function, sequential, and generalization requirement. Everyone wants to report results as accurate as possible and as fast as possible.
  • Genetic algorithm is another type of algorithm. The steps in a genetic algorithm include combination, mutation, crossover, and selection; hence the name “genetic algorithm”.
  • Our algorithm predicts over 3,000 markets in 6 different time horizons for short and long term for stocks, commodities, ETF’s, interest rates, currencies, and world indices.
  • The I Know First daily market heat map includes signal and predictability for different stocks, and recently, in a swing trading report, the I Know First Algorithm Performance crushed the S&P 500’s performance.


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Algorithmic Trading vs Mass Psychology

Tomer Solel is a Financial Analyst at I Know First. He graduated from Cal Poly Pomona with a bachelor's degree in applied mathematics.

Algorithmic Trading vs Mass Psychology


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Stock Market Forecast: Creating a Model for Chaos Mapping and Predictions

taliTali Soroker is a Financial Analyst at I Know First.

Summary

  • Chaotic systems revisited – see original article here
  • Understanding the stock market as a chaotic process
  • What is a model and what is a multivariate time series?
  • How is machine learning used to create an efficient/effective model For stock market forecast
  • Considering higher dimension data sets and time complexity


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Stock Picking Algorithms: The Machine Advantage

Tomer Solel is a Financial Analyst at I Know First. He graduated from Cal Poly Pomona with a bachelor's degree in applied mathematics. Stock Picking Algorithms

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