I Know First

During my third year at Northeastern University, I worked for a financial technology start-up company in Tel Aviv called I Know First. I Know First is developing a state-of-the-art algorithm to perform stock analysis and forecasting. As a part of my job, I wrote stock and financial analysis reports as well as longer articles on broader subjects. Below is a collection of my articles based on financial and investment concepts combined with algorithmic trading ideas.

Machine Learning Trading, Stock Market, and Chaos

Machine Learning Trading


  • There is a notable difference between chaos and randomness making chaotic systems predictable, while random ones are not
  • Modeling chaotic processes are possible using statistics, but it is extremely difficult
  • Machine learning can be used to model chaotic processes more effectively
  • I Know First has employed artificial intelligence and machine learning in order to make predictions in the stock market
  • Definitions for underlined words can be found in the Glossary at the end of the article

Understanding Stock Market Prediction Using Artificial Neural Networks and Their Adaptation

bio vs ann


  • Artificial Neural Networks
  • General Applications
  • Different Types of ANNs
    • Feed-Forward ANNs
    • RBF Neural Networks
    • MLP Neural Networks
    • RNNs
  • Neural Networks and Finance

Deep Learning Finance: Artificial Neural Networks, Deep Learning and Applications of Deep Learning in Finance



  • Artificial Neural Networks Overview
  • ANNs Vs. Conventional Computing
  • Structure and Backpropagation
  • Deep Learning
  • Applications in Finance and Other Areas


While I was working for I Know First, I submitted additional content to outside publications. The following piece was published in Forbes at the beginning of April 2016.

How To Invest Your Money In 2nd Quarter: 9 Top Blue-Chip Stock Buys From The Pros (#9)

NG Data

For this publication, I submitted a piece about bitcoin and big data technology which was listed among 19 other submissions from experts in the field.

20 Experts Reveal the Most Important Big Data Technology Trends Shaping Banking and Finance Today