Statistical Arbitrage Bot Build in Crypto with Python (A-Z)

Build a Pairs Trade bot like a boss on the ByBit Crypto exchange with a statistical arbitrage edge in Python.
4.45 (643 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Statistical Arbitrage Bot Build in Crypto with Python (A-Z)
5 736
students
14.5 hours
content
Jan 2023
last update
$29.99
regular price

Why take this course?

🚀 Build a Pairs Trade Bot like a Boss on the ByBit Crypto exchange with a Statistical Arbitrage Edge in Python! 📈💻


Course Overview:

Embark on an exciting journey to master Statistical Arbitrage Bot Building in the thrilling world of Cryptocurrency trading. This course, designed for learners from all backgrounds, is a treasure trove of knowledge handpicked by the Crypto Wizards community. With Python as your weapon of choice and ByBit as your battlefield, you'll learn to trade like a pro!


What You'll Learn:

  • 🎓 Intuitive Trading Principles: Gain an intuitive grasp of how trading works within the volatile yet lucrative crypto markets.
  • 🔍 Risk Management & Position Sizing: Discover the optimal calculations for managing your risks and sizing your positions.
  • Practical Statistical Arbitrage: Dive into the practical aspects of Statistical Arbitrage, with a focus on finding edges and stacking the odds in your favor.
  • 📈 Pairs Trading Concepts: Master trading pairs that can generate profits regardless of market direction.
  • 🧩 Understanding Metrics & Market Dynamics: Learn about the key metrics in Statistical Arbitrage and how they relate to trading on a Crypto Exchange.
  • ⚡️ High-Speed Data Access: Tap into exchange price information at lightning speed using WebSockets and REST API calls.
  • 🤖 Python Code & Bot Development: Get hands-on with Python code to find co-integrated trading pairs and build your own trading bot, line by line.

Course Breakdown:

  1. Trading Principles in Crypto Markets: An overview of the trading landscape in cryptocurrency.
  2. Risk & Position Sizing: Learn how to calculate and manage your risks effectively.
  3. Statistical Arbitrage Fundamentals: A comprehensive guide to understanding Statistical Arbitrage.
  4. Pairs Trading for Market Conditions: How to trade profitably in any market scenario.
  5. Metrics & Dynamics Understanding: Gain insights into the metrics that drive statistical arbitrage.
  6. Crypto Exchange Interaction: Learn how to interact with a crypto exchange, specifically ByBit.
  7. High-Speed Data Access: Techniques for accessing real-time market data at top speeds.
  8. Python Coding for Trading Bots: Step-by-step guidance on coding your own trading bot using Python.

Why This Course?

  • 🧠 Simplified Learning: This course is designed to make complex concepts understandable for anyone, regardless of their mathematical expertise.
  • 🛡️ Educational Focus: Tailored for educational purposes, providing you with the knowledge without the promise of future returns.
  • 🌍 Real-World Application: Learn through practical examples and real-world scenarios that you can apply to your own trading strategies.
  • 🧪 Safe Testing Environment: Utilize ByBit's testnet to test your bot without risking real money, ensuring a safe and effective learning experience.

Important Notes:

  • Educational Purposes Only: This course is meant for educational purposes and does not guarantee any trading outcomes.
  • Responsible Learning: It's crucial to understand that your implementation of the strategies learned here is at your own risk.
  • ByBit Exchange: We will be using ByBit, which offers a unique feature that will greatly assist in our learning process.
  • No Real Money Testing: We use simulated funds to ensure you can test your strategies in a realistic environment without financial risk.

Join Shaun McDonogh and the Crypto Wizards community as they guide you through the intricacies of building a statistical arbitrage bot using Python on the ByBit exchange. Whether you're a seasoned trader or just starting out, this course will equip you with the knowledge and skills to trade like never before! 🚀✨

Enroll now and embark on your journey to becoming a Statistical Arbitrage Bot Building expert! 📚👨‍💻👩‍💻

Course Gallery

Statistical Arbitrage Bot Build in Crypto with Python (A-Z) – Screenshot 1
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Statistical Arbitrage Bot Build in Crypto with Python (A-Z) – Screenshot 2
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Statistical Arbitrage Bot Build in Crypto with Python (A-Z) – Screenshot 3
Screenshot 3Statistical Arbitrage Bot Build in Crypto with Python (A-Z)
Statistical Arbitrage Bot Build in Crypto with Python (A-Z) – Screenshot 4
Screenshot 4Statistical Arbitrage Bot Build in Crypto with Python (A-Z)

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Comidoc Review

Our Verdict

The Statistical Arbitrage Bot Build in Crypto with Python (A-Z) course on Udemy provides valuable insights into pairs trading and statistical analysis for crypto trading. However, it falls short when it comes to delivering a fully functional, up-to-date product. Considering the last update was in January 2023 with no further improvements or bug fixes, students may find themselves frustrated with the numerous issues present throughout. While the course covers fundamental principles and provides hands-on experience in developing a trading bot, its overall usefulness is diminished by outdated examples and unanswered questions regarding critical components like the Websocket API from ByBit and rebate filters.

What We Liked

  • Well-structured course with useful diagrams explaining complex concepts.
  • Hands-on experience in developing a Statistical Arbitrage pairs trading crypto bot.
  • Learning fundamental trading principles and gaining a statistical edge.
  • Covers backtesting techniques for optimal pair selection and risk management.

Potential Drawbacks

  • Some outdated course content, such as API usage and deprecated features.
  • Insufficient explanation of some pre-built functions and coding logic.
  • Instructor has not updated the course to address issues and bugs raised by students.
  • Lack of timely response in Q&A section may hinder student progress.
4581660
udemy ID
05/03/2022
course created date
17/03/2022
course indexed date
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course submited by