indicator_dataset_big

Table with indicator dataset, 30000 rows

datasets

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://www.vantharp.com/>,
Reinforcement Learning R package: <https://CRAN.R-project.org/package=ReinforcementLearning>.

Vladimir Zhbanko

lazytrade

Learn Computer and Data Science using Algorithmic Trading

indicator_dataset_big function

A dataframe with several columns<dl class="dl-horizontal">
 <dt>X1</dt><dd>Date and time of the indicator sample</dd>
 <dt>X2-X29</dt><dd>Values of the assets</dd>
</dl>

Format

Table with indicator dataset, 30000 rows — indicator_dataset_big

A dataframe with several columns<dl class='dl-horizontal'>
 <dt>X1</dt><dd>Date and time of the indicator sample</dd>
 <dt>X2-X29</dt><dd>Values of the assets</dd>
</dl>

indicator_dataset_big: Table with indicator dataset, 30000 rows

Description

Usage

Arguments

Format