Algorithmic Trading: Evolution of Algorithmic Trading

April 23, 2019
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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I Know First CEO Represents Wealth-Tech At Inaugural Steering Committee

August 14, 2018

On August 13, I Know First CEO Yaron Golgher represented the wealth-tech sector at the 1st ever Steering Committee Meeting of the Israel Export Institute (IEI)  FinTech sector. The meeting aimed to discuss the activities of the Israeli FinTech sector. Moreover, the meeting sought to discover industry needs and how to fulfill them in the future.

I Know First CEO Represents Wealth-Tech At Inaugural Steering Committee

Investor support tools such as I Know First’s daily market forecasts is one of the myriad

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In The News Press Releases

Bayesian Inference and I Know First’s Application

July 1, 2018
   


This article was written by Kwon Sok Oh, a Financial Analyst at I Know First.    




Summary

  1. Introduction of Bayesian Inference and BAC Example
  2. Prior Distribution: Concepts and BAC Example
  3. Likelihood Function: Concepts and BAC Example
  4. Posterior Distribution: Concepts and BAC Example
  5. Posterior Predictive Distribution: Concepts and BAC Example
  6. Conclusion of Discussion and BAC Example
  7. I Know First and Bayesian Neural Networks

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