Cryptocurrency Algorithmic Trading with Python and Binance
Create powerful Trading Strategies and fully automated AWS Trading Bots for Bitcoin & co. | Spot and Futures Trading
Product Brand: Udemy
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Udemy Coupon Code for Cryptocurrency Algorithmic Trading with Python and Binance Course. Create powerful Trading Strategies and fully automated AWS Trading Bots for Bitcoin & co. | Spot and Futures Trading
Created by Alexander Hagmann | 37 hours on-demand video course
Cryptocurrency Algorithmic Trading with Python and Binance Course Overview
Online Course: Cryptocurrency Algorithmic Trading with Python and Binance form Udemy
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 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 |
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Who this course is for:
- 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.
Taught by Alexander Hagmann