Skip to content

A set of Jupyther notebooks for processing Market Indicators from the Web for predicting market movements. Julia, Python, TuriCreate DNN

Notifications You must be signed in to change notification settings

UkiDLucas/MarketIndicators.jl

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Market Indicators machine learning with Julia.

by Uki D. Lucas

Motivation

This project was started in August, 2020, on GitHub.

I have been asking myself a question: Can I create an AI model to predict macro-economic trends?

Spoiler alert: Yes, I can.

I have separated content in 3 parts because of potentially different audience and usage:

If you like the content, make sure you "star", "clap", "like", and share it with your friends.

Disclaimer

I am neither a professional economist, nor a financial advisor, nor do I have ANY formal training in these subjects. Any market predictions shown here are the outcome of automatic machine learning without any expert human supervision, hence the prediction could be wrong and misleading.

Table of Contents

Predictions

Please read the disclaimer above.

AAPL

BABA

BRK-B

BYDDF

CRSP

DJIA

FORD

FB

GELYF

NVDA

GOOG

TPLGX

TSLA

VIX index

Feedback

  • If you have a question to the author, contact Uki D. Lucas on LinkedIn.
  • If you want to post a comment, please use Discussions.
  • If you want to report bug, or submit a change request, use Issue tracker.

About

A set of Jupyther notebooks for processing Market Indicators from the Web for predicting market movements. Julia, Python, TuriCreate DNN

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Sponsor this project

Packages

No packages published