MLCF - Machine Learning Toolkit for Cryptocurrency Forecasting

This library provides tools for cryptocurrency forecasting and trade decision making.
Among which :

• data acquisition to download historical cryptocurrency data.

• shaping and preprocessing data for time series machine learning.

• directory and file management to help machine learning training (models versionning, checkpoint, logs, visualization, etc.).

This library doesn't provide models or an end-to-end trade bot. It is only providing tools to make easier the data acquisition, the data analysis, the forecasting and decision making training. However, MLCF provide a file management which allows to make an end-to-end model easier.

In addition to using modules' functions, we can use MLCF as a python module :

python -m mlcf <list_of_arguments>

Installation

A simple pip install is require to install MLCF.

pip install mlcf

MLCF library

In this part is introduced all the current tools of MLCF.

Datatools

The datatools library provides :

• WTSeries
• WTSeriesTraining
• WTSeriesTensor
• WTSeriesPreProcess
• Indice
• datasetools

AiTools

The aitools library provides :

• SuperModule
• TrainingManager

EnvTools

The envtools library provides :

• ProjectHome