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.
- 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
- Artificial Neural Networks
- General Applications
- Different Types of ANNs
- Feed-Forward ANNs
- RBF Neural Networks
- MLP Neural Networks
- 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.
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.