Zero Dte Gamma
ASecurityEstimate net dealer gamma exposure (GEX) for same-day-expiry (or nearest-expiry) SPY / SPX / QQQ / IWM options and identify gamma pins. Uses Black-Scholes gamma applied to reported open interest with a standard dealer positioning assumption (short customer calls, long customer puts). Reports net dealer gamma, gamma regime (long / short), gamma flip strike, and top 5 gamma pin strikes with per-side notional gamma. Motivated by 2024-25 research on how 0DTE options now drive systematic intraday ...
- 7 stars
- 0 votes
- 0 copies
- 5 views
- Added September 6, 2026
Works with
Security analysis
100/100Pro scans all 5 files and shows the line behind each finding
npx -y skills add rgourley/quant-garage --skill zero-dte-gamma --agent claude-codeAre you the author of Zero Dte Gamma?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/rgourley-zero-dte-gamma)---
name: zero-dte-gamma
description: Estimate net dealer gamma exposure (GEX) for same-day-expiry (or nearest-expiry) SPY / SPX / QQQ / IWM options and identify gamma pins. Uses Black-Scholes gamma applied to reported open interest with a standard dealer positioning assumption (short customer calls, long customer puts). Reports net dealer gamma, gamma regime (long / short), gamma flip strike, and top 5 gamma pin strikes with per-side notional gamma. Motivated by 2024-25 research on how 0DTE options now drive systematic intraday moves through market-maker delta hedging pressure. Requires Options Developer.
---
# zero-dte-gamma
You hand over an underlying (default SPY). The skill pulls the options
chain snapshot for the nearest expiry, computes per-contract gamma
exposure using Black-Scholes greeks and reported open interest,
aggregates by strike, and reports the net dealer gamma regime along
with the top pins.
Motivated by 2024-25 research (Baltussen-Terhorst-Van Vliet 2024,
Bhattacharya 2024, others) documenting that 0-day-to-expiration
options now drive systematic intraday moves through market-maker
delta hedging pressure. This phenomenon didn't exist meaningfully
before 2022 (when CBOE expanded 0DTE availability); by 2024-25 it's
a first-order intraday factor.
## Interpretation
- **Long gamma regime** (net dealer gamma > 0): dealers hedge
against price moves, compressing intraday range. Late-day chop
typical. Sell-vol strategies favored.
- **Short gamma regime** (net dealer gamma < 0): dealers hedge with
the market, amplifying moves. Trend days more likely, especially
in the last hour. Buy-vol / breakout strategies favored.
- **Gamma flip strike**: the level where cumulative dealer GEX
crosses zero. Break past it and the hedging regime changes.
- **Gamma pins**: strikes with the largest concentrated open
interest gamma. Spot tends to gravitate toward these on expiry day.
## When to invoke
- "What's the gamma regime on SPY today?"
- Pre-market prep on an SPX / QQQ options trader's watchlist
- Sizing risk for a 0DTE strategy
- The user says "gamma flip", "gamma pins", "0DTE",
"dealer positioning"
Not for: single-name equity options (this is calibrated to index /
ETF flow assumptions). Not for real-time (this is snapshot-based;
end-of-day is fine, intraday drift can be substantial).
## What you need
- Underlying ticker (`--underlying`, default SPY)
- `MASSIVE_API_KEY` exported
- **Options Developer** or higher entitlement. Returns a clean
NOT_AUTHORIZED tier caveat without it.
Optional:
- `--expiration-date` (YYYY-MM-DD): pin a specific expiry. Default:
nearest listed expiration to today.
- `--risk-free-rate` (default 0.045)
- `--default-iv` (default 0.15): fallback when Massive's greeks
or IV field is missing on a contract.
## What you get back
Two output layers.
**Layer 1: canonical JSON**. Per-strike `call_gamma_notional`,
`put_gamma_notional`, `dealer_gex`, `cum_dealer_gex`, `call_oi`,
`put_oi`. Top-level `net_dealer_gex`, `gamma_regime`,
`gamma_flip_strike`, `top_gamma_pins` (top 5 by absolute notional),
plus `spot`, `days_to_expiration`, and full `gamma_by_strike` for
downstream consumers.
**Layer 2: rendered note**. Header + regime label + gamma flip level,
top 5 pin table, one-line Take.
## How it works
1. **Pick nearest expiry** from
`/v3/reference/options/contracts?underlying_ticker={U}`.
2. **Fetch chain snapshot** from
`/v3/snapshot/options/{U}?expiration_date={D}`. Massive returns
per-contract greeks + open interest + IV.
3. **Compute gamma** per contract. Prefer Massive's returned gamma;
fall back to Black-Scholes with the reported IV (or `default_iv`
when missing).
4. **Cash gamma** per contract = gamma × OI × 100 × spot² / 100.
This is dollar-gamma per 1% underlying move.
5. **Dealer positioning assumption**: short customer calls, long
customer puts. So `dealer_gex(call) = -cash_gamma`, `dealer_gex(put)
= +cash_gamma`. This is the standard 0DTE convention; not exact for
any given book, but consistent across time.
6. **Aggregate per strike**, compute cumulative GEX walking from
lowest to highest strike, find gamma-flip strike where cumulative
crosses zero.
7. **Top pins** = strikes with the largest total notional gamma
(call + put), sorted descending.
## Foundations used
- [`massive-api-patterns`](../massive-api-patterns) for REST auth,
retry, and options chain snapshot.
## Output mode: note
Narrative note with a per-strike table. A single expiry chain
produces 50-200 strikes; the top-5 pin table is the digestible view.
## Endpoints used
- `GET /v3/reference/options/contracts?underlying_ticker={U}`
(list expirations)
- `GET /v3/snapshot/options/{U}?expiration_date={D}`
(chain snapshot with greeks + OI)
- `GET /v2/snapshot/locale/us/markets/stocks/tickers/{U}`
(spot fallback chain)
## Doesn't handle (yet)
- **Intraday updates.** Snapshot only. For live updates, wire the
same aggregation onto the options WebSocket.
- **Vanna and charm.** Only gamma. Second-order greeks (vanna =
d²/dS/dσ, charm = d²/dS/dt) are the natural next layer for a
full "dealer hedging response" model.
- **Actual dealer books.** The short-calls / long-puts assumption
is retail-flow convention. On event days (Fed, CPI, earnings),
actual dealer books can invert.
- **Non-index underlyings.** Calibrated for SPY / SPX / QQQ / IWM
where the flow assumption holds. Single-name equity gamma has
different flow dynamics.
- **rBergomi-consistent IV.** Uses reported IV as-is; a rough-vol-
consistent IV surface would be a real research extension.
These are clean PR extensions.
Files in this skill
- README.md
- SKILL.md
- output-schema.json
- references/rendering.md
- requires.yml
Attribution
Comments
Loading comments…
Newsletter
Get the weekly list of safe new skills, and the ones we pulled.