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

    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

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Bayesian Neural Networks: Bayes’ Theorem Applied to Deep Learning

  The article was written by Amber Zhou, a Financial Analyst at I Know First.

Highlights:

  • Vanilla Deep Learning Method: Multilayer Perceptron (MLP)
  • Introduction to Bayes’ Theorem
  • Application of Bayes’ Theorem: Bayesian Inference
  • Combination: Bayesian Neural Networks
  • How I Know First Utilizes Bayesian Neural Networks for Forecasting

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Deep Reinforcement Learning: Building A “Self-Driving Car” In Financial World.

  The article was written by Hieu Nguyen, a Financial Analyst at I Know First.

     

Summary:

  • What makes Deep Reinforcement Learning different?
  • Markov Decision Process and its application
  • How to find Optimal Policy using Q-learning?
  • Building a “Self-Driving Car” in financial world
When talking about deep learning, many seems to refer it to only computer science. Today, we will talk about a part of deep learning that utilize many areas of both natural science and social science: Deep Reinforcement Learning. Deep Reinforcement Learning has been changing our world every day. This learning method helps scientists to explore new disease treatments, help engineers to develop self-driving cars, and help investors to maximize their profit. To subscribe today and receive exclusive AI-based algorithmic predictions, click here

Deep Learning Finance: Revolutionizing The Market Today

This article was written by David Shabotinsky, a Financial Analyst at I Know First, and enrolled at the undergraduate Finance program at the Interdisciplinary Center, Herzliya.

Deep Learning Finance

Summary
  • How Deep Learning developed from AI
  • The evolution of Deep Learning in the market
  • How the finance sector has begun to further take advantage of Deep learning
  • I Know First implementation of Deep Learning to better forecast financial markets

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Deep Learning Algorithms: The Future of Financial Investment?

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

Deep Learning & Finance

Summary:
  • What is Deep Learning?
  • Deep Learning Applications Today
  • Deep Learning & Financial Markets
  • I Know First's Role in the Machine-Learning World

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Deep Learning Algorithms: Deep Learning Through TensorFlow

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

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...
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