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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Understanding Stock Market Prediction Using Artificial Neural Networks and Their Adaptation

taliTali Soroker is a Financial Analyst at I Know First. She graduated from Northeastern University with a Bachelor degree in Mathematics.

Stock Market Prediction Using Artificial Neural Networks

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

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Stock Market Predictions: Where In The Feedback Loop Is Your Portfolio?

Summary

  • Why you can beat the market, even when it does not seem so.
  • The importance of loops, patterns, and predictable events.
  • Random events are don’t measure risks, and should not affect your decision making.
Some traders follow the trend, and some go against it. At IKnowFirst we work on algorithmic strategies which are neither, we simply try an asses where the next opportunity is. If this means to do what everyone else does, than why not. If it means going against when everyone else does, this is also fine. The tricky part is determining where this opportunities are, this article will discuss how to find opportunities in what can seem as total randomness.

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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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Why Machine Learning Is Important In The Future

“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

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Algorithmic Trading: Combines Market Noise Trading And Trend Trading

taliTali Soroker is a Financial Analyst at I Know First.

algorithmic trading

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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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