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Vibecoding

·396 words·2 mins

🚀 My Journey into Vibe Coding: Building a Crypto Correlation Explorer
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The Spark âš¡
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Sometimes the best projects start with a simple question and an afternoon of pure coding flow. That’s exactly how my latest venture into vibe coding began - that magical state where curiosity meets creativity, and before you know it, you’re knee-deep in building something genuinely exciting.

The Project: Crypto Correlation Visualization 📊
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I decided to dive into the fascinating world of cryptocurrency relationships. My goal? Create an interactive application that visualizes correlations between different tokens and uncovers the hidden patterns in crypto market movements.

What I Built
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Using Google AI Studio, I crafted an application that:

  • Visualizes token relationships through interactive correlation matrices
  • Analyzes log returns to understand price movement patterns
  • Explores statistical relationships between different cryptocurrencies
  • Lays groundwork for advanced cointegration testing
Do you want to see results? Check it out!

The Technical Deep Dive 🔬
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The statistical foundation includes:

  • Log return analysis for normalized price comparisons
  • Correlation mapping to identify strongly related token pairs
  • Future integration of cointegration tests (Johansen and Augmented Dickey-Fuller)

These statistical tools are crucial for understanding whether crypto pairs move together in the long term - essential knowledge for any serious trading strategy.

The Vision: Beyond Visualization 🎯
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This isn’t just another data visualization project. I’m building toward something bigger: a full-scale trading platform focused on market-neutral strategies like pair trading.

Imagine identifying crypto pairs that historically move together, then capitalizing on temporary divergences through sophisticated algorithmic trading. That’s the endgame.

Why Vibe Coding Works ✨
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This project perfectly captures what vibe coding is all about:

  • Following curiosity rather than rigid planning
  • Building iteratively from simple visualizations to complex systems
  • Letting the data guide the development process
  • Staying open to where the project naturally evolves

What’s Next?
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The roadmap is exciting:

  1. Implement cointegration testing algorithms
  2. Add real-time data streaming
  3. Build backtesting capabilities
  4. Develop the trading execution engine

Sometimes the best way to learn is to just start building. This crypto correlation explorer started as a weekend experiment and is growing into something that could reshape how I approach quantitative trading. That’s the power of vibe coding - you never know where the journey will take you.

Ready to start your own vibe coding adventure? Pick a dataset that fascinates you and just start exploring. The insights will follow.