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Learn Python for Crypto Trading

A beginner’s course to learn Python and use it to analyze financial data sets. It includes core topics in data structures, expressions, functions and explains various libraries used in financial markets.

  • 3.5 Hours
  • 350+ 5 Stars

Instructed by

QuantInsti® is the world’s leading algorithmic and quantitative trading research & training institute with registered users in 190+ countries and territories

In Partnership With

Who is this course for?

  • Digital Currency Enthusiasts
  • Entrepreneurs
  • Finance Enthusiasts
  • Freelancers
  • Equity Markets Traders
  • Aspiring Investors
  • Full time Employees
  • Students
  • Anyone interested in learning about digital currencies and assets.
Kickstart Your Learning for Free

What will you learn in the course?

  • Work with different data structures such lists, tuples and dictionaries
  • Use loops, conditional statements, functions and object oriented programming in the code
  • Fetch crypto coin prices from different sources
  • Manage data using Python packages such as Pandas, NumPy and Matplotlib
  • Paper trade and analyze the strategies without any installations or downloads

Get Certified

Yes! You will be certified for this course on completion .

  • Official & Verified:

    Receive an instructor signed certificate with institution’s logo to verify your achievements and increase your job prospects

  • Easily shareable

    Add the certificate to your CV or your Resume or post it directly on LInkedin. You can even post it on instagram and twitter.

  • Enhances Credibility

    Use your certificate to enhance your professional credibility and stand out among your peers!

SYLLABUS

Introduction

This section introduces the topic and explains the importance of Python.

Hello Python

This familiarizes you with the basic components of Python like variables references, operators, modules, packages, and libraries.

Expressions

In this section, you will learn about an important concept of ‘Time Value of Money’, and the use of expressions in Python.

Python Data Structures

This section focuses on different Python data structures like lists, dictionaries, stacks, queues, graphs, trees, tuples and sets.

Importing Data and Data Visualization

This section demonstrates how to import and visualize financial data using Python.

Functions

In this section, you will learn what Python functions are, how to define functions, what Lambda functions are and how to use them.

Numpy

This section shows how you can use the NumPy library to manipulate arrays by slicing, indexing, vectorization and broadcasting.

Pandas

This section illustrates how to use the Pandas library for the manipulation of DataFrames.

Conditional Statements and Loops

In this section, you will learn how to use conditional statements and loops in Python.

Buy and Hold Strategy

In this section, you will learn to create a buy and hold strategy in Python.

Paper Trading on Blueshift

This section will walk you through the steps involved in taking your trading strategy live. You will learn about the backtesting and paper trading platform, Blueshift. You will learn about code structure, various functions used to create a strategy and finally, paper trade on Blueshift.

Paper Trading Template

Blueshift Paper Trading Template

Python Installation

Learn to install the Python environment in your local machine.

Course Summary

In this section, you will go through the different concepts you learnt throughout the course.

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Sign Up For The Crypto Course