Building a Crypto Correlation Explorer with Vibe Coding #
How it started #
I wanted to visualize cryptocurrency relationships, so I spent an afternoon vibe coding to see how far I could get. I’ve been interested in how different tokens correlate and move together, and building an interactive explorer seemed like a good way to figure it out.
The Project: Crypto Correlation Visualization #
What I Built #
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
- Backtests a trading strategy which uses those relationships
Technical Details #
The statistical foundation includes:
- Log return analysis for normalized price comparisons
- Correlation mapping to identify strongly related token pairs
- Cointegration tests to validate if two pairs move together (Johansen’s test)
These statistical tools are crucial for understanding whether crypto pairs represent a true relationship - essential knowledge for any serious trading strategy.
Future Plans #
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 worked here #
For this project, vibe coding meant skipping heavy upfront planning and just following the data. I started with simple visualizations and let the tool evolve naturally as I noticed interesting correlation patterns.
What’s Next? #
The roadmap is exciting:
Implement cointegration testing algorithms🏁Add automatic data refresh🏁Build backtesting capabilities🏁- Integrate trading strategy with your Ex/Dex of choice
Quick update: #
After spending one more evening on my application it now has a strategy builder module. You can test how a market-neutral strategy performs depending on various parameters. You can also use AI-driven helper! I still have a few issues to solve: speed is one of those. When you click ‘Simulate’ - give yourself a break, make a coffee, call a friend or watch next episode of your favorite show. It’s been published under 3 domains:
Quick update 2: #
179 - this is the final number of unique users that used my crypto correlation matrix. Several of them used it periodically. They represented 12 different countries such as US, China, Germany, Brazil and UK. No one has subscribed to a newsletter. There was no interest in additional service (I did a smoke test in the background too).
For a tool like this, even with zero budget and effort for advertisement - I still expected a few hundreds of viewers and at least 5-10 signs of interest for payed content. Well, a good lesson learned for future.
Either way - all 3 domains are now available for registration so if you would like to continue this journey, please do so and let me know how it worked for you.