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A robust data-pipeline that can run various backtests and store various useful artefacts in a robust data warehouse system.

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Mela-Crypto-Trading-Engineering

A robust data-pipeline that can run various backtests and store various useful artefacts in a robust data warehouse system.

Table of Content

Project Overview

The main objective of this project is to design and build a reliable, large-scale ,robust data-pipeline that can run various backtests and store various useful artifacts in a robust data warehouse system for Mela who wants to enter the world of cryptocurrencies to make simple trade for everyone.

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Data

There are a number of data points that yahoo finance and binance provides and you can use, but for the purpose of testing the backend development, you can start of with the candlestick data. You can read a brief description of what a K-line or candlestick data is here.

System Flow

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Installation Guide

Project Structure

LICENCE

MIT

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A robust data-pipeline that can run various backtests and store various useful artefacts in a robust data warehouse system.

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  • Jupyter Notebook 88.1%
  • Python 11.9%