Code a Bitcoin Crypto Trading Bot with Python & Backtesting.py | Day 0
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Join me on an exciting journey as I embark on a mission to master algo trading with Bitcoin and Ethereum! In this series, we'll dive deep into the world of cryptocurrency trading bots, starting from absolute zero and aiming to reach $100 a day in profits.
🚀 Series Overview: Follow along as I document my progress from a complete beginner to a skilled algo trader. We'll explore various strategies, conduct thorough backtesting, and leverage the power of Python to build robust trading bots. This series is perfect for anyone interested in combining programming skills with cryptocurrency trading.
📚 What We'll Cover:
Python programming for crypto trading bots
Backtesting strategies for Bitcoin and Ethereum
Researching and implementing various trading algorithms
Real-time bot performance analysis
Scaling from $0 to $100 daily profit
🎥 Live Streaming: I'll be live streaming much of my journey, giving you a front-row seat to the learning process, challenges, and breakthroughs. This transparent approach allows you to learn alongside me and become part of our growing community of algo traders.
👥 Community Building: Join the AquaWolf Academy Discord to connect with like-minded individuals, share insights, and collaborate on trading strategies. Let's learn and grow together in this exciting field!
Join AquaWolf Academy: / discord
🌊 Wholeness & Balanced Vibrations: Throughout this journey, we'll maintain a holistic approach, balancing technical skills with a broader perspective on the crypto ecosystem and its impact on the financial world.
⚠️ Disclaimer: This series is for educational purposes only. Trading cryptocurrencies involves significant risk. Always do your own research and never invest more than you can afford to lose.
Ready to start this thrilling adventure? Like, subscribe, and hit the notification bell to stay updated on each episode of our journey from $0 to $125 a day with crypto trading bots!
Timestamp:
Intro + Project Goals @00:00:00
Setting Up Environment @00:40:00
Implementing EMA Strategy @01:40:00
Debugging and Data Exploration @02:00:00
Backtesting Framework Setup @03:00:00
VS Code vs Jupyter Lab @03:05:00
Plotting Issues and Troubleshooting @03:20:00
Configuration and File Management @03:40:00
PySpark and Extension Setup @03:55:00
Final Troubleshooting and Wrap-up @04:10:00
