Cryptocurrency Algorithmic Trading with Python and Binance

Create powerful Trading Strategies and fully automated AWS Trading Bots for Bitcoin & co. | Spot and Futures Trading

4.44 (2163 reviews)

Udemy

platform

English

language

Cryptocurrency & Blockch

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

Charts

Students

Price

Rating & Reviews

Enrollment Distribution

Comidoc Review

Our Verdict

A well-rounded foundation in algorithmic trading and Python programming, but experienced programmers may find the introductory portions too slow. The instructor has a clear, technical approach that proves beneficial for beginners. With some updates to reflect the latest library versions, this course could further solidify its position as an essential learning tool for aspiring algo traders.

What We Liked

Provides a comprehensive introduction to both the technical aspects of algorithmic trading and the finance lingo behind it.
Instructor's clear explanations and high-quality exercise materials help beginners understand Python coding and its applications in trading strategies.
Real-world framework for backtesting and live-trading strategies in Spot and Futures markets, adaptable to other financial markets.
Instructor is responsive in the Q&A section, ensuring students' queries are addressed.

Potential Drawbacks

Python crash course may be overly basic for those with prior programming experience, slowing down the overall pace of the course.
Lacks in-depth coverage of combining multiple trading indicators in backtesting and live-trading strategies.
Some repetition in certain sections, leading to a less efficient learning experience.
Could benefit from updating the course materials to reflect the latest versions of Python and Binance libraries.