Algorithmic Trading in Cryptocurrency 101: The Syllabus
From arbitrage to technical analysis, algorithmic strategies play a vital role in any well oiled market. Better liquidity, cost savings, and speed are just a few of many perks that bots have to offer. In order to help others reap these benefits, The Ocean will be hosting an Algorithmic Trading 101 crash course! We’ll start from zero and teach anyone with some coding chops and finance fundamentals how to build a crypto trading bot.
Over the length of this course, we’ll give you the fundamental knowledge, code snippets, and monitoring tools to release your bot into the wild. And though we’re not responsible for the ultimate performance of your strategy, we’ll be providing plenty of help along the way.
Part of this support includes part of $5,000 (in crypto) to stellar students or community mentors who share their learnings, open-source their algorithms, or help out. Winners will be announced at the conclusion of our series!
How to be Eligible
- Sign-up for an API key to begin experimenting
- Join our Telegram to stay on top of important course announcements, especially how to open-source your strategy on the final week
- Follow us on Twitter
Anyone who chats on Telegram, submits a challenge solution, or helps out (translating, hosting local meetups, etc.) is eligible to win.
The Syllabus
* Subject to change based on your feedback.
Our Community Experiment
This is just a experimental precursor to our support for Mainnet launch — where you’ll be able to unleash your strategies on real-time crypto markets. Top performers will get many, many more rewards.
Keep us on your radar to learn how you can get involved and get prepped for our course in the coming weeks. Every strategy and level of knowledge is eligible to win, so we welcome anyone from beginners to crypto-enthusiasts and even seasoned veterans. We look forward to learning alongside you!
The course has begun! 🎉 Click on the lessons below to get started.
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🤖 Links to Lessons 🤖
The Syllabus & How to Win
Lesson 1: Time Series Analysis
Lesson 2: Data, Strategy Design, and Mean Reversion
Lesson 3: Intro to Arbitrage Strategies
Lesson 4: Portfolio Management and Machine Learning in Python
Lesson 5: More Machine Learning
Remember to join our Telegram if you have any questions!
