In this course, you will learn how to develop an end-to-end decentralized trading bot using Python, interact with Telegram for real-time notifications, and leverage the capabilities of AWS to run your code 24/7 in the cloud. The course begins with an introduction to the objectives and expectations, providing a clear roadmap for you. You will explore the concepts of statistical arbitrage and cointegration and understand how to trade the spread based on the Z-score. Dive into the nuances of hedge ratio and half-life and discover how to apply the Kelly Criterion for optimal position sizing and risk management.
DYDX FastTrack empowers you to seamlessly configure MetaMask, Alchemy HTTP provider, and access DYDX credentials. Interact with the DYDX API for public price data retrieval and placing orders through the private API.
This comprehensive guide includes environment setup in VS Code, Python VENV setup, and creating a collaborative GitHub repository. Master the integration process with environment variables for flawless operations.
In the Bot Build stages, you will configure bot constants, construct market prices, and implement cointegration functions. Explore the BotAgent class, which forms the backbone of your trading bot, and effectively manage open trades and exits. Finally, deploy your bot on the AWS cloud, set up real-time Telegram updates, and achieve full automation with CRON.
By the end of this course, you will be equipped with the knowledge and skills to develop and deploy an advanced decentralized trading bot on DYDX, leveraging the power of Python and AWS.
publication date
2023-06-26
what you will learn
Create a statistical arbitrage strategy based on cointegration
Implement position sizing and risk management techniques for successful trading
Learn how to connect and access DYDX API for trading
Understand the concept of z-score and its application in trading spreads
Explore Telegram messaging integration for real-time trade notifications
Gain proficiency in deploying your bot on AWS for continuous trading
key features
Develop an end-to-end decentralized trading bot using Python * Interact with automated Telegram messages directly from your bot * Learn how to statistically arbitrage cryptocurrencies on the DYDX decentralized platform
approach
This course adopts a hands-on learning approach where you will actively engage in building a super advanced trading bot on DYDX. Through practical demonstrations, step-by-step instructions, and real-world examples, you will gain practical experience in Python coding, DYDX integration, and AWS deployment, empowering you to apply your skills confidently in cryptocurrency trading environments.
audience
This course is ideal for intermediate to advanced Python developers and cryptocurrency enthusiasts aiming to enhance their trading abilities on the DYDX platform. Basic proficiency in Python is required for in-depth coding and bot development. While prior knowledge of cryptocurrency trading strategies is beneficial, it is not mandatory. Access to a computer with internet connectivity is necessary to set up the development environment and interact with DYDX. Familiarity with blockchain technology and decentralized exchanges is recommended for better comprehension.
short description
Discover the fascinating world of decentralized trading with Python and DYDX. Build a sophisticated trading bot, harness statistical arbitrage techniques, and automate your trading strategies on the AWS cloud. Gain the skills to navigate the cryptocurrency market and achieve consistent profitability in this comprehensive and hands-on course.
subtitle
Advanced decentralized trading bot that runs on AWS and sends private messages to your Telegram account
keywords
Python, trading bot, DYDX trading platform, Statistical arbitrage strategy, Cointegration in trading, Position sizing and risk management, DYDX API integration, Z-score trading strategy, Telegram messaging for trading notifications, AWS cloud deployment for trading bots, Algorithmic trading with Python, cryptocurrencies, decentralized platform
Product ISBN
9781835083857
