I’m still amazed at how capable ChatGPT has become - it’s honestly wild. Today I spent several hours refining and deploying a fully functional Deribit Options Scanner, and the results exceeded my expectations.
This project is originally built for the Terramatris crypto hedge fund, but I decided to make it available to everyone interested in crypto options trading. While it’s still an early-stage tool, it’s already turning into something quite powerful.
Architecture and Stack
The scanner is hosted on a Linode VPS, behind NGINX for reverse proxy and static serving. The core application is written in Python, using Streamlit for the user interface — a lightweight yet capable framework for building interactive financial dashboards.
Under the hood, the scanner communicates directly with the Deribit API, fetching live data for both BTC and ETH options. It parses the full options chain, structures it for analysis, and displays it in a clear, sortable interface. Everything updates dynamically, giving a real-time view of strikes, expiries, mark prices, implied volatility, and more.
At this stage, the app is hosted as is - it’s functional, stable, and a solid foundation to build on. Over time, I plan to add new features like volatility surfaces, open interest tracking, and filters for premium decay and delta exposure.
Designed for Option Sellers
The current logic and data layout are designed primarily for options sellers — traders who profit from selling put or call options on Deribit. The scanner highlights premiums, bid/ask spreads, and implied volatility the metrics that matter most for covered call or cash-secured put strategies.
It’s not a fully automated trading bot (yet), but rather a research and signal tool that helps identify high-probability setups in the BTC and ETH options markets.
For beginners, it’s an excellent way to visualize how option chains behave in real time — though, as with all derivatives, a bit of learning is needed to fully understand the mechanics. For seasoned traders, it’s a practical way to scan for edge and quickly evaluate risk/reward profiles without manually crunching numbers.
What’s Next
I see this project evolving steadily - maybe integrating with Terramatris’ internal analytics, maybe offering portfolio tracking and PnL simulations for live positions. The flexibility of Python and the Deribit API means the possibilities are wide open.
Right now, though, I’m just excited about how far this tool has come in a single day of development with AI assistance. ChatGPT helped with structuring, debugging, and even optimizing API calls - things that would have taken much longer to figure out manually.
This Deribit Options Scanner is a perfect example of how AI-augmented development and open crypto infrastructure can enable rapid, meaningful progress in the trading world.