dlog

Calculate log distribution and calculate difference within rows
<a href="https://lifecycle.r-lib.org/articles/stages.html#stable"><img src="figures/lifecycle-stable.svg?package=lazytrade&version=0.5.4" alt="[Stable]"></a>

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>.

Vladimir Zhbanko

lazytrade

Learn Computer and Data Science using Algorithmic Trading

dlog function

<dl><dt>x</dt>
<dd><ul>
<li>matrix with one or more column</li>
</ul></dd></dl>

Arguments

Calculate log distribution and calculate difference within rows
<a href='https://lifecycle.r-lib.org/articles/stages.html#stable'><img src='figures/lifecycle-stable.svg' alt='[Stable]' /></a>

Create log difference distribution — dlog

<dl>

<dt>x</dt>
<dd><ul>
<li>matrix with one or more column</li>
</ul></dd>

</dl>

dlog: Create log difference distribution

Description

Usage

Value

Arguments

Examples