Cryptocurrency Algorithmic Trading with Python and Binance
Offered By: Udemy
Course Description
Overview
What you'll 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
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 CCXTLibrary
Trading with CCXTand 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!
Taught by
Alexander Hagmann
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