/cryptocurrency-trading

How to make profits in cryptocurrency trading with machine learning

Primary LanguageJupyter NotebookApache License 2.0Apache-2.0

Research trading

summary:

Description

This repository regroups sources about Medium article(How to make profits in cryptocurrency trading with machine learning).

Python3.5 environment for datasciences.

Install

Requirements:

Run :

make

more informations about Makefile commands in the documentation section

Open your browser and visit the link localhost:8888.

The notebook used is src/Financial_presentation.ipynb.

Notebook

You have to know 3 tips for this notebook:

  1. The dataset is not in the repository.

The size of this file is too big to be uploaded on Github.

You can create your own dataset with this 'data crawler'

  1. The function get_data() is not implemented.
The object construct by this function must have this format:
  [
    {
      "name": "Your market name (ex. BTC-NEO)",
      "data": "Pandas dataframe of the market(with a chronological order)"
    },
  ]
example:

  [ {"name":"BTC-ETH", "data":<class 'pandas.core.frame.DataFrame'>} ]
  1. Data format:
index ask base_volume bid date high id id_bot last low marketName moy_prev_day open_buy_orders open_sell_orders volume
int int float int str int int int int int str int int int float
0 72 0.61017 70 2018-04-04 04:30:30 72 1597 4242 72 68 BTC-2GIVE 69 113 979 869022.0

This dataset was collected with this software : Data crawler

Only features listed in the "labelisation_features_name" (settings dictionary) are used to your model.

References

Makefile commands available:

commands name description
make 1. down each service
2. build basic project
3. run project
make build_up 1. build basic project
2. run project
make build build basic project.
make up run project
make down down project
make ps list container
make logs display all platform logs

Documentation: