Why Machine Learning Is Important In The Future

December 23, 2018

“There is no reason and no way that a human mind can keep up with an artificial intelligence machine by 2035.” —Gray Scott

Summary

How Neurons Build A Neural Network
Difference Between Unsupervised And Supervised Learning
For Google Machine Learning Is The Future
I Know First Predictive Algorithm

How Neurons Build A Neural Network

[Image Source: medium.freecodecamp.org]

A Neuron can simply be described as a function. A function is a fancy name for something that takes some input, applies some logic, and outputs the result. A Neuron can also be determined as one learning unit. The crucial part is to understand what a learning unit (function) is, then we will understand the basic building block of a Neural Network. A function is basically a relationship between two variables usually denoted

Algorithmic Articles

Deep Learning Algorithms: Deep Learning Through TensorFlow

December 21, 2018

This article was written by David Berger, a Financial Analyst at I Know First.

Deep Learning Algorithms: Deep Learning Through TensorFlow

Summary:

What is Deep Learning?
TensorFlow- Google's Open Source Software Library
TensorFlow Compared to Other Libraries
Early Results from TensorFlow

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I Know First at the AI In Finance Summit New York 2018: Video + Interview

December 10, 2018

I Know First Presents at the AI In Finance Summit

I Know First was honored to be selected to present as one of the leaders of innovation through incorporation of machine learning & deep learning into the financial sector. The event took place in New York City beginning on September 6th. In the presentation delivered by CEO & Co-Founder Yaron Golgher, he explains how modeling the market as a complex chaotic system allows algorithms like I Know First’s to accurately predict the stock market. Co-Founder & Partner Dr. Lipa Roitman further elaborates and dissects a more technical view of the algorithm and how it was founded. The presentation labeled: Investment Selection By Combining Chaos Theory with Artificial Intelligence, can be viewed in it's entirety above...

I Know First Presentations Videos

Machine Learning Trading, Stock Market, and Chaos

December 1, 2018

Tali Soroker is a Financial Analyst at I Know First.

Summary

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

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An Overview of How To Use I Know First’s AI Forecasts for ETF Trading

November 30, 2018

In the following we give an overview of the construction and performance of ETF Portfolios constructed using I Know First’s Algorithmic Forecasts for the SPDR Sector ETFs. We present the construction and performance of:

Portfolios which directly use the algorithmic signals generated to select the sector ETFs to invest in and to rebalance the portfolio
Portfolios which use sector-level predictions computed by aggregating our forecasting algorithm’s daily forecasts for individual S&P 500 stocks
Portfolios which combine the algorithmic forecasts with an equally invested benchmark to create long only strategies which allow investors to target desired alpha and beta statistics

We show that these portfolios register very good performance statistics over the analyzed time-horizon outperforming the benchmark.

Trading Strategies

How Deep Learning Works In The Stock Market And How to Utilize It for Investment Decisions

November 4, 2018

The article was written by Yutian Fang, a Financial Analyst at I Know First and Master of Science in Finance candidate at Brandeis International Business School

Summary

To make informed investment is always what investors are concerned about
Solutions saw their limitations and improvements as techniques developed
What Deep Learning can do -Deep Networks for Unsupervised or Generative Learning -Deep Networks for Supervised Learning -Hybrid Deep Networks
How I Know First utilized Deep Learning for investment decisions