Package: lazytrade
Type: Package
Title: Learn Computer and Data Science using Algorithmic Trading
Version: 0.5.4
Author: Vladimir Zhbanko
Maintainer: Vladimir Zhbanko <vladimir.zhbanko@gmail.com>
Description: 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: <https://github.com/h2oai/awesome-h2o>, Market Type
        research of Van Tharp Institute: <https://vantharp.com/>,
        Reinforcement Learning R package:
        <https://CRAN.R-project.org/package=ReinforcementLearning>.
License: MIT + file LICENSE
URL: https://vladdsm.github.io/myblog_attempt/topics/lazy%20trading/,
        https://github.com/vzhomeexperiments/lazytrade
BugReports: https://github.com/vzhomeexperiments/lazytrade/issues
Encoding: UTF-8
LazyData: true
Language: en-US
RoxygenNote: 7.3.2
Imports: readr, stringr, dplyr, tibble, lubridate, ggplot2, grDevices,
        h2o, ReinforcementLearning, openssl, stats, cluster, lifecycle
Suggests: testthat (>= 2.1.0), covr, magrittr, data.table, bit64
Depends: R (>= 3.6.0)
Roxygen: list(markdown = TRUE)
Config/pak/sysreqs: make default-jdk libicu-dev libssl-dev libx11-dev
Repository: https://vzhomeexperiments.r-universe.dev
Date/Publication: 2024-07-17 19:19:17 UTC
RemoteUrl: https://github.com/vzhomeexperiments/lazytrade
RemoteRef: HEAD
RemoteSha: 200ada0d888fc75b0cdb605648f0d361ff994245
NeedsCompilation: no
Packaged: 2026-07-15 06:48:33 UTC; root