opt_create_graphs

Create graphs and store them into pdf file
<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

opt_create_graphs function

<dl><dt>x</dt>
<dd><ul>
<li>dataframe with aggregated trading results</li>
</ul></dd>
<dt>outp_path</dt>
<dd><ul>
<li>path to the folder where to write file</li>
</ul></dd>
<dt>graph_type</dt>
<dd><ul>
<li>character, one of the options c('ts', 'bars', 'pdf')</li>
</ul></dd></dl>

Arguments

Create graphs and store them into pdf file
<a href='https://lifecycle.r-lib.org/articles/stages.html#stable'><img src='figures/lifecycle-stable.svg' alt='[Stable]' /></a>

Function to create summary graphs of the trading results — opt_create_graphs

<dl>

<dt>x</dt>
<dd><ul>
<li>dataframe with aggregated trading results</li>
</ul></dd>


<dt>outp_path</dt>
<dd><ul>
<li>path to the folder where to write file</li>
</ul></dd>


<dt>graph_type</dt>
<dd><ul>
<li>character, one of the options c('ts', 'bars', 'pdf')</li>
</ul></dd>

</dl>

opt_create_graphs: Function to create summary graphs of the trading results

Description

Usage

Value

Arguments

Details

Examples