Cryptocurrency Algorithmic Trading with Python and Binance

Cryptocurrency Algorithmic Trading with Python and Binance, available at $99.99, has an average rating of 4.48, with 417 lectures, 4 quizzes, based on 1954 reviews, and has 20130 subscribers.

You will learn about Build automated Crypto Trading Bots with Python, Binance and Amazon Web Services (AWS) Spot Trading and Futures Trading Create powerful and unique Crypto Trading Strategies Rigorous Testing of Strategies: Backtesting, Forward Testing and live Testing (Paper Trading) Deep Dive into the Binance API (Spot & Futures) API Trading with Binance and many other Exchanges (Coinbase, Kraken & co.) Truly Data-driven Trading and Investing Margin Trading (Leverage) Understand Trading: Order Types, Commissions, Bid-Ask-Spread, Slippage, Liquidation, etc. Load Historical Market Data (Price, Volume and more) from Crypto Spot & Futures Markets Get programmatic access to many Crypto Exchanges with the CCXT Library Python Coding and Object Oriented Programming (OOP) in a way that everybody understands it Coding with Numpy, Pandas, Matplotlib and Seaborn Fully automate and schedule your Trades on a virtual Server in the AWS Cloud Stream high-frequency real-time Cryptocurrency Data Understand, analyze, control and limit Trading Costs This course is ideal for individuals who are Beginners who want to start with Cryptocurrencies and want to do it right straight way (avoiding common mistakes). or Cryptorcurreny Traders and Investors who want to professionalize and automate their Business. or Cryptorcurreny Traders and Investors tired of relying on simple strategies, chance and hope. or Finance & Investment Professionals who want to step into Data-driven Finance. or Data Scientists and Machine Learning Professionals with an interest in Trading and Cryptos. It is particularly useful for Beginners who want to start with Cryptocurrencies and want to do it right straight way (avoiding common mistakes). or Cryptorcurreny Traders and Investors who want to professionalize and automate their Business. or Cryptorcurreny Traders and Investors tired of relying on simple strategies, chance and hope. or Finance & Investment Professionals who want to step into Data-driven Finance. or Data Scientists and Machine Learning Professionals with an interest in Trading and Cryptos.

Enroll now: Cryptocurrency Algorithmic Trading with Python and Binance

Summary

Title: Cryptocurrency Algorithmic Trading with Python and Binance

Price: $99.99

Average Rating: 4.48

Number of Lectures: 417

Number of Quizzes: 4

Number of Published Lectures: 417

Number of Published Quizzes: 4

Number of Curriculum Items: 421

Number of Published Curriculum Objects: 421

Number of Practice Tests: 2

Number of Published Practice Tests: 2

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Build automated Crypto Trading Bots with Python, Binance and Amazon Web Services (AWS)
Spot Trading and Futures Trading
Create powerful and unique Crypto Trading Strategies
Rigorous Testing of Strategies: Backtesting, Forward Testing and live Testing (Paper Trading)
Deep Dive into the Binance API (Spot & Futures)
API Trading with Binance and many other Exchanges (Coinbase, Kraken & co.)
Truly Data-driven Trading and Investing
Margin Trading (Leverage)
Understand Trading: Order Types, Commissions, Bid-Ask-Spread, Slippage, Liquidation, etc.
Load Historical Market Data (Price, Volume and more) from Crypto Spot & Futures Markets
Get programmatic access to many Crypto Exchanges with the CCXT Library
Python Coding and Object Oriented Programming (OOP) in a way that everybody understands it
Coding with Numpy, Pandas, Matplotlib and Seaborn
Fully automate and schedule your Trades on a virtual Server in the AWS Cloud
Stream high-frequency real-time Cryptocurrency Data
Understand, analyze, control and limit Trading Costs

Who Should Attend

Beginners who want to start with Cryptocurrencies and want to do it right straight way (avoiding common mistakes).
Cryptorcurreny Traders and Investors who want to professionalize and automate their Business.
Cryptorcurreny Traders and Investors tired of relying on simple strategies, chance and hope.
Finance & Investment Professionals who want to step into Data-driven Finance.
Data Scientists and Machine Learning Professionals with an interest in Trading and Cryptos.

Target Audiences

Beginners who want to start with Cryptocurrencies and want to do it right straight way (avoiding common mistakes).
Cryptorcurreny Traders and Investors who want to professionalize and automate their Business.
Cryptorcurreny Traders and Investors tired of relying on simple strategies, chance and hope.
Finance & Investment Professionals who want to step into Data-driven Finance.
Data Scientists and Machine Learning Professionals with an interest in Trading and Cryptos.

Welcome to the most comprehensive Algorithmic Trading Course for Cryptocurrencies.It´s the first 100% Data-driven Crypto Trading Course!

Learn how some of the most successful Crypto Traders and Investors make Profits.

In this rigorous but yet practical Course, we will leave nothing to chance, hope, vagueness, or pure intuition! And it´s the most detailed course on the Binance API. Other Exchanges like Coinbase, Kraken, KuCoin, KuCoin Futures, OKEx, Bybit & co. are supported as well!

So what´s the ultimate goal of this course? Creating powerful and fully automated Crypto Trading Bots for Spot Trading and Futures Trading.

The course is structured in five Parts:

Part 1: Fundamentals of Trading, Binance, and Python for Finance

Trading vs Investing
Spot vs. Derivates (Futures) Trading
What you should know about Cryptocurrencies as an Asset Class
Trading 101: Market Orders, Limit Orders, Commissions, Spreads, Slippage, Market Depth, and more
Binance Overview and the Binance API
Financial Data Analysis with Python and Pandas

Part 2: Automated Crypto Spot Trading

Long-only Strategies
Enhanced Buy-and-Hold Strategies
Backtesting, Optimization, and Forward Testing of Trading Strategies
Implementing and automating Trades
Creating fully automated Trading Bots in the Cloud (AWS)
Real Trading and Paper Trading

Part 3: Automated Crypto Futures Trading

Futures and perpetual Futures
Long-Short Futures Trading Strategies
Margin Trading (Leverage)
Real Trading and Paper Trading with the Binance Futures API

Part 4: API Trading with other Exchanges

Getting programmatic access with the CCXT Library
Trading with CCXT and Binance
Trading with CCXT and FTX
more examples to come…

Part 5 (Appendix): A Python Crash Course (optional)

Everything you need to know about Python Coding for this Course – no more, no less

What else should you know about me and the course?

The course shows how to do things right. But equally important, it highlights the most commonly made mistakes in (Crypto) Trading. There is hardly any other business where beginners make so many mistakes. Why is that? A lack of skills, expertise, and experience. And: Overconfidence and overreliance on intuition. As a finance professional with an extensive academic background (MSc in Finance, CFA) my clear message is: For Trading and Investing, intuition and common sense are not your best friends. Very often, the most intuitive solution is not the correct solution!
This course is “not only” a crypto trading course but also an in-depth Python Course that goes beyond what you can typically see in other courses. Create Software with Python and run it in real-time on a virtual Server (AWS)!

What are you waiting for? Join now!

Thanks and looking forward to seeing you in the Course!

Course Curriculum

Chapter 1: Getting Started

Lecture 1: Welcome and Introduction

Lecture 2: Did you know…? (a Sneak Preview on Crypto Trading)

Lecture 3: How to get the best out of this course

Lecture 4: Student FAQ

Lecture 5: *** LEGAL DISCLAIMER (MUST READ!) ***

Lecture 6: Course Overview

Chapter 2: +++ PART 1: Fundamentals of Trading, Binance and Python for Finance +++

Lecture 1: PART 1 Overview

Lecture 2: Downloads for PART 1 ***Updated August 2023***

Chapter 3: Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance

Lecture 1: Investing vs. (Algorithmic) Trading

Lecture 2: Asset Classes, Money and (Crypto-) Currencies

Lecture 3: What is a Stable Coin?

Lecture 4: Why Trading Cryptocurrencies?

Lecture 5: Why using Binance?

Lecture 6: Alternative Exchanges (Bybit, Kraken, etc.)

Lecture 7: Spot Trading vs. Derivatives (Futures) Trading (Part 1)

Lecture 8: Spot Trading vs. Derivatives (Futures) Trading (Part 2)

Lecture 9: [Article] Algorithmic Trading 101 and how to start

Chapter 4: Cryptocurrency Trading and Investing with Binance A-Z: a Deep Introduction

Lecture 1: Binance.com and Binance.US at a first glance

Lecture 2: How to get a 10% Discount on Trading Commissions

Lecture 3: Registration and Identity Verification

Lecture 4: How to instantly buy your first Cryptos

Lecture 5: Deposits and Withdrawals (Part 1)

Lecture 6: Deposits and Withdrawals (Part 2)

Lecture 7: The first Spot Trade (buy Bitcoin)

Lecture 8: Trade Analysis and Trading Fees/Commissions

Lecture 9: Another Spot Trade (sell Bitcoin)

Lecture 10: Limit Orders vs. Market Orders

Lecture 11: Take-Profit Orders

Lecture 12: Stop-Loss Orders

Lecture 13: The Order Book

Lecture 14: Bid-Ask-Spread and Slippage

Lecture 15: Total Costs of a Trade (visible vs. hidden Costs)

Lecture 16: Liquidity and Market Depth

Lecture 17: Introduction to Charting and Technical Indicators

Chapter 5: Installing Python and Jupyter Notebooks

Lecture 1: Introduction

Lecture 2: Download and Install Anaconda

Lecture 3: How to open Jupyter Notebooks

Lecture 4: How to work with Jupyter Notebooks

Lecture 5: Tips for Python Beginners

Chapter 6: Excursus: How to avoid and debug Coding Errors (don´t skip!)

Lecture 1: Introduction

Lecture 2: Test your debugging skills!

Lecture 3: Major reasons for Coding Errors

Lecture 4: The most commonly made Errors at a glance

Lecture 5: Omitting cells, changing the sequence and more

Lecture 6: IndexErrors

Lecture 7: Indentation Errors

Lecture 8: Misuse of function names and keywords

Lecture 9: TypeErrors and ValueErrors

Lecture 10: Getting help on StackOverflow.com

Lecture 11: How to traceback more complex Errors

Lecture 12: Problems with the Python Installation

Lecture 13: External Factors and Issues

Lecture 14: Errors related to the course content (Transcription Errors)

Lecture 15: Summary and Debugging Flow-Chart

Chapter 7: Trading with Python and the Binance API – an Introduction

Lecture 1: Overview

Lecture 2: ***Important Notice (August 2023 Update)***

Lecture 3: Getting the API Key & other Preparations

Lecture 4: Commands to install required packages

Lecture 5: How to install the Binance API Wrapper

Lecture 6: Connecting to the API/Server

Lecture 7: Troubleshooting

Lecture 8: Important notice for Binance.US users (Part 1)

Lecture 9: Retrieving general account/system Info (Part 1)

Lecture 10: Retrieving general account/system Info (Part 2)

Lecture 11: Getting (current) Market Data

Lecture 12: How to load Historical Price & Volume Data (Part 1)

Lecture 13: How to load Historical Price & Volume Data (Part 2)

Lecture 14: Excursus: Loading Historical Data (csv) from the Website

Lecture 15: Streaming real-time Market Data (Part 1)

Lecture 16: Running a Python Script

Lecture 17: Important notice for Binance.US users (Part 2)

Lecture 18: Streaming real-time Market Data (Part 2)

Lecture 19: Streaming and collecting real-time Candles

Lecture 20: Placing a Test Order

Lecture 21: The Binance Spot Test Network

Lecture 22: ***Important Notice (August 2023 Update)***

Lecture 23: Creating a Connection to the Spot Testnet

Lecture 24: Spot Testnet API – Overview

Lecture 25: Placing a Market Buy Order

Lecture 26: Placing a Market Sell Order

Lecture 27: Placing Limit Orders

Lecture 28: Reporting: Getting all (historical) Orders and Trades

Lecture 29: How to create & run a first (simple) Trading Bot

Lecture 30: Homework: Running the Trading Bot in a Python Script

Chapter 8: Financial Data Analysis with Python and Pandas – a (deep) Introduction

Lecture 1: Introduction and Overview

Lecture 2: Installing and importing required Libraries/Packages

Lecture 3: Loading Financial Data from the Web

Lecture 4: Initial Inspection and Visualization

Lecture 5: [Article] Loading Data into Pandas – advanced topics

Lecture 6: Normalizing Time Series to a Base Value (100)

Lecture 7: Coding Challenge #1

Instructors

Alexander Hagmann
Data Scientist | Finance Professional | Entrepreneur

Rating Distribution

1 stars: 31 votes
2 stars: 30 votes
3 stars: 112 votes
4 stars: 489 votes
5 stars: 1292 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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