thegamestopsnow/oi-dayflip — explained in plain English
Analysis updated 2026-05-18
Visualize how open interest for calls and puts shifts across trading days for a stock you follow.
Deploy a personal, no-server dashboard to explore options positioning with your own CSV exports.
Spot patterns like gamma ramp buildups by rotating and playing through a flipbook of daily snapshots.
| thegamestopsnow/oi-dayflip | 100/rutgers-pbl-dining-2015 | a15n/a15n_old | |
|---|---|---|---|
| Stars | 0 | — | — |
| Language | HTML | HTML | HTML |
| Last pushed | — | 2015-12-01 | 2016-06-18 |
| Maintenance | — | Dormant | Dormant |
| Setup difficulty | easy | easy | easy |
| Complexity | 1/5 | 1/5 | 1/5 |
| Audience | vibe coder | general | general |
Figures from each repo's GitHub metadata at analysis time.
Works with bundled fake demo data instantly, real options data requires a paid ThetaData subscription or a free CBOE daily snapshot.
OI Day-Flip Viewer is a single file tool that turns options open interest data into a 3D picture you can play like a flipbook, one frame per trading day. Open interest means how many option contracts are currently open for a stock at a given strike price and expiration date. The tool draws each day as a cloud of points, and you can rotate the cloud, mirror calls against puts, and switch to a pixel art style view. Everything runs in your browser, so no data ever gets uploaded anywhere. The project ships with made up demo data only. Real options data is licensed, so the author cannot include it, and this is a bring your own data tool. You supply your own CSV file, either from a paid service called ThetaData, from a free daily snapshot published by CBOE, or exported from a broker or other data vendor and reshaped to match the expected columns: date, expiration, strike price, whether it is a call or put, and open interest. There is nothing to install. You can open the page directly on GitHub's hosting, click a button to deploy your own copy to Netlify or Vercel, or just download the files and double click the main HTML file to run it locally. If you make your own copy through GitHub's template feature, a built in automation publishes it for you after your first change. To try it, open the page, drag a CSV file onto it, or use the included sample file that has five days of fake data with a small example event built in. Then press play and use your mouse to rotate and zoom. The README also lists common problems and their fixes, such as what to do if a required column is missing or if nothing appears on screen. This is a small, focused hobby project with no stars yet, aimed at people who want to visualize options positioning without setting up a server or writing code.
A single, no-install HTML page that turns your own options open-interest CSV data into a rotatable 3D flipbook, one frame per trading day.
Mainly HTML. The stack also includes HTML, JavaScript, GitHub Pages.
The README does not state a specific license, so terms of use and redistribution are unclear.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly vibe coder.
This repo across BitVibe Labs
Verify against the repo before relying on details.