Advanced Trading Tools: Vanna, Charm, and Live Feeds | No-Code
Advanced options platforms charge hundreds of dollars a month to track live institutional market maker data like Vanna and Charm. In Part 2 of this series, we are bypassing the paywall entirely.
We are bringing the free tier of Gemini back in as our architectural copilot to upgrade the Python GEX tracker we coded in Part 1 into a synchronized, multi-dimensional risk matrix—with zero manual coding required.
In this lesson, you will see exactly how to upload your existing code files to AI, prompt defensively so the LLM doesn't break your underlying application, debug live terminal errors in real-time, and leverage Plotly subplots to lock your strike price axes together.
Whether you are looking to track a "Vanna Melt" rally or monitor natural weekend time decay (Charm), this upgraded cockpit gives you a true map of institutional flows for $0.
👇 WATCH PART 1 (THE BASE GEX ENGINE BUILD) 👇
• How to Build Your Own Gamma Exposure (GEX)...
👇 CODE REPOSITORY & PROMPTS 👇
https://github.com/GimmeGammaLabs/You...
📌 TIMESTAMP CHAPTERS
0:00 - Intro & Reviewing the Part 1 GEX Build
1:05 - Uploading Code to Gemini for the Math Backend
2:00 - Pasting the Math Code & Running the Terminal
2:20 - Real-World Debugging: Fixing Live Snags with Gemini
3:05 - The Missing UI Link: Coding 3-Row Multi-Axis Subplots
3:50 - The Grand Reveal: Reading Vanna & Charm Data
🛠️ TECH STACK USED:
Python 3.11+
Plotly & Dash (Frontend Framework)
Gemini AI (Free Tier / Google AI Studio)
Scipy & Numpy
If you run into any layout alignment or syntax issues on your local development server, drop a comment below and I'll jump in to help you troubleshoot.
Make sure to smash the subscribe button—next week we are cracking open the Schwab Developer Portal to stream live, real-time exchange data straight into this custom dashboard!
#optionsgreeks #gammaexposure #algorithmictrading #python #dash #datascience #vanna #charm #finance