CRAN/E | lazytrade

lazytrade

Learn Computer and Data Science using Algorithmic Trading

Installation

About

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. Summary of Methods used: Awesome H2O tutorials: , Market Type research of Van Tharp Institute: , Reinforcement Learning R package: .

vladdsm.github.io/myblog_attempt/topics/lazy%20trading/
github.com/vzhomeexperiments/lazytrade
Bug report File report

Key Metrics

Version 0.5.3
R ≥ 3.6.0
Published 2021-12-15 869 days ago
Needs compilation? no
License MIT
License File
CRAN checks lazytrade results

Downloads

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Maintainer

Maintainer

Vladimir Zhbanko

vladimir.zhbanko@gmail.com

Authors

Vladimir Zhbanko

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

lazytrade archive

Depends

R ≥ 3.6.0

Imports

readr
stringr
dplyr
tibble
lubridate
ggplot2
grDevices
h2o
ReinforcementLearning
openssl
stats
cluster
lifecycle

Suggests

testthat ≥ 2.1.0
covr
magrittr
data.table
bit64