vzhomeexperiments/lazytrade: Learn Computer and Data Science using Algorithmic Trading

Provide sets of functions and methods to learn and practice data science using idea of algorithmic trading. Main goal is to process information within "Decision Support System" to come up with analysis or predictions. There are several utilities such as dynamic and adaptive risk management using reinforcement learning and even functions to generate predictions of price changes using pattern recognition deep regression learning.

Getting started

Package details

AuthorVladimir Zhbanko
MaintainerVladimir Zhbanko <[email protected]>
LicenseMIT + file LICENSE
Version0.3.6
URL https://vladdsm.github.io/myblog_attempt/topics/lazy%20trading/ https://github.com/vzhomeexperiments/lazytrade
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("vzhomeexperiments/lazytrade")
vzhomeexperiments/lazytrade documentation built on Nov. 11, 2019, 8:11 p.m.