Skip to content

Research Paper on using Neural Networks to Make Predictions on the Forex Market

Notifications You must be signed in to change notification settings

royce-mathew/ForexPredictor

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

ForexPredictor

Full Source: https://github.com/royce-mathew/ForexPredictor/blob/master/src/ForexPredictor.ipynb

Predicting the forex market can be quite hard for a neural network to understand due to the properties of the market. To perfectly predict the market, the neural network would need a very high number of parameters and thousands of iterations of training.

This paper tries to explore the question on whether a neural network is able to predict the market given a limited set of parameters.

The program works by using neural networking algorithm known as NEAT. "NEAT" stands for "Neural Networks through Augmented Topologies". The neat algorithm works by using the concept of life, where each generation starts to learn based on the last generations, and the best of each generation gets to pass onto the next generation.

A proper explanation of how the algorithm works can be found on https://www.cs.ucf.edu/~kstanley/neat.html.

About

Research Paper on using Neural Networks to Make Predictions on the Forex Market

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published