Stock Market Forecast: Integration of New Technologies and Traditional Approach

Sergey Okun  This article was written by Sergey Okun – Senior Financial Analyst, I Know First, Ph.D. in Economics.

Summary:

  • Fundamental analysis allows investors to understand the intrinsic value of stocks and their growth potential.
  • Machine learning and artificial intelligence transform the process of forecasting in the stock market by analyzing large amounts of data and making accurate predictions.
  • The combination of fundamental analysis and machine learning opens up new opportunities for forecasting and managing investments.

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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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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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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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Bayesian Inference and I Know First’s Application

 

 

This article was written by Kwon Sok Oh, a Financial Analyst at I Know First.

 

 

Summary

  1. Introduction of Bayesian Inference and BAC Example
  2. Prior Distribution: Concepts and BAC Example
  3. Likelihood Function: Concepts and BAC Example
  4. Posterior Distribution: Concepts and BAC Example
  5. Posterior Predictive Distribution: Concepts and BAC Example
  6. Conclusion of Discussion and BAC Example
  7. I Know First and Bayesian Neural Networks

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Deep Learning Stock Prediction: Artificial Intelligence Expanding Applications

  2016-09-15_18-55-38  The article was written by Jacob Saphir, a Financial Analyst at I Know First.

Deep Learning Stock Prediction

Summary:

  • Artificial Intelligence
  • Deep Learning
  • I Know First Application
  • NVIDIA Stock Forecast and Result

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