CONVEX
Glossary/Derivatives & Market Structure/Net Delta-Adjusted Gamma Imbalance
Derivatives & Market Structure
5 min readUpdated Apr 12, 2026

Net Delta-Adjusted Gamma Imbalance

ByConvex Research Desk·Edited byBen Bleier·
NDAGIgamma imbalancedealer gamma imbalance

Net Delta-Adjusted Gamma Imbalance measures the aggregate directional gamma exposure of market makers across all listed options, weighted by delta, to identify price levels where dealer hedging flows are likely to amplify or dampen market moves.

Current Macro RegimeSTAGFLATIONDEEPENING

The macro regime is unambiguously STAGFLATION DEEPENING. The hot CPI print (pending event, 24h ago) is not a surprise — it is a CONFIRMATION of the pipeline signals that have been building for weeks: PPI accelerating faster than CPI, Cleveland nowcast at 5.28%, breakevens rising +10bp 1M across the …

Analysis from May 14, 2026

What Is Net Delta-Adjusted Gamma Imbalance?

Net Delta-Adjusted Gamma Imbalance (NDAGI) is an advanced derivatives positioning metric that quantifies the net gamma exposure held by dealers and market makers, adjusted for each option's delta and open interest across the full volatility surface. Unlike raw gamma exposure, which weights all options equally regardless of their proximity to the current spot price, NDAGI scales each position by how "in play" that contract currently is, reflecting how much delta-hedging activity a small move in the underlying will actually trigger. The result is a signed dollar figure, typically expressed in millions or billions of notional gamma per 1% move, indicating whether dealers are collectively net long or net short gamma. When dealers are net long gamma, they are natural liquidity providers: they sell into strength and buy weakness, absorbing volatility. When net short gamma, they must chase price directionally to maintain a delta-neutral book, converting latent positioning pressure into realized, trend-amplifying flow that retail participants often misread as fundamental momentum.

Why It Matters for Traders

NDAGI provides a mechanistic, structurally grounded explanation for why equity markets oscillate between tight, mean-reverting regimes and explosive trend days with no apparent change in fundamentals. A deeply negative NDAGI reading creates a pro-cyclical feedback loop: as prices rise, dealers must buy more underlying to stay hedged; as prices fall, they sell, exactly the opposite of stabilizing behavior. This dynamic becomes self-reinforcing, particularly when realized volatility begins rising and implied volatility surfaces reprice, triggering additional vanna and charm flows that compound the initial gamma-driven pressure.

Equity index traders watch NDAGI alongside VIX levels, implied volatility skew, and zero-day options (0DTE) flow. The explosive growth of daily-expiry SPX options, which accounted for more than 45% of total SPX options volume by mid-2023, has dramatically compressed the time horizon over which gamma imbalances resolve. A NDAGI reading that would have persisted for days in 2018 can now flip within a single session as 0DTE contracts expire worthless and the associated hedging flows evaporate. This means the signal demands more frequent re-evaluation than it did even five years ago.

How to Read and Interpret It

NDAGI is expressed as a net dollar gamma per 1% move in the underlying index. Practitioners typically organize readings into three regimes:

  • Above +$1 billion per 1% move: Strong positive gamma regime. Dealers are net long gamma, systematically fading intraday moves. Expect suppressed realized volatility, tight intraday ranges, and persistent mean reversion around large open-interest strike clusters. This environment rewards options sellers and punishes momentum traders.
  • Near zero (±$500 million): Transitional or unstable zone. Small macro catalysts or large institutional hedging flows can flip the regime quickly. Intraday directional conviction is low; breakouts are often faded but occasionally resolve into sustained moves as the regime tilts.
  • Below -$500 million per 1% move: Net short gamma regime. Dealers are structurally positioned to amplify moves. Expect trend days, gap extensions, elevated intraday realized volatility, and a higher probability of volatility regime change. Readings below -$2 billion represent genuinely stressed conditions.

NDAGI deteriorates most predictably around FOMC decisions, CPI releases, and major options expiration dates, when concentrated buying of short-dated event protection leaves dealers holding large short-gamma books with no natural offset. Post-expiry resets often produce sharp reversals in realized volatility as that structural short is removed overnight.

Historical Context

The February 2018 'Volmageddon' episode remains the canonical NDAGI stress event. In the week following the January 2018 equity peak, NDAGI estimates across SPX options collapsed to approximately -$2.5 billion per 1% move as dealers absorbed massive put-buying from leveraged volatility products unwinding. On February 5, 2018, the S&P 500 declined more than 4% intraday, one of the largest single-session drawdowns in years, with dealer delta-hedging flows visibly accelerating the selloff through the afternoon as the VIX spiked above 37, triggering forced liquidations in inverse VIX ETPs.

March 2020 provided an even more extreme illustration. As COVID-related put-buying overwhelmed dealer balance sheets through late February and early March, NDAGI readings across major providers fell below -$3 billion per 1% move on several sessions. This structural short-gamma positioning transformed what might have been orderly 2%-3% declines into 7%-9% intraday extensions on days with no significant incremental news, a phenomenon inexplicable by fundamental analysis alone but entirely consistent with forced mechanical hedging. Conversely, through much of 2017 and again in Q4 2021, persistently positive NDAGI readings above +$1.5 billion coincided with historically low realized volatility and the relentless grinding higher that confounded short-volatility bears.

Limitations and Caveats

NDAGI estimates are inferences, not observations. Dealer/customer trade attribution, typically derived from whether a transaction printed at the bid or offer, is probabilistic and degrades in fast, dislocated markets precisely when accurate readings matter most. During genuine liquidity crises, bid-ask spreads widen dramatically, trades print at ambiguous prices, and the directional assumption underlying NDAGI construction becomes unreliable.

The proliferation of 0DTE options introduces additional model risk: intraday gamma from contracts expiring the same day is highly path-dependent, and aggregating it into a single opening NDAGI print overstates the persistence of the reading. A negative NDAGI at 9:30 AM driven by 0DTE puts may fully dissolve by noon if those options expire worthless.

Critically, NDAGI is a pure gamma metric. It ignores vanna (sensitivity of delta to volatility changes) and charm (delta decay over time), both of which generate substantial hedging flows during volatility regime transitions and around expirations. It also says nothing about cross-asset correlation positioning or fixed income gamma dynamics, which can either reinforce or offset equity gamma imbalances during risk-off episodes.

What to Watch

  • Daily NDAGI prints from providers such as SpotGamma, SqueezeMetrics, or Tier1Alpha relative to key SPX strike clusters, particularly the largest open-interest nodes on monthly and quarterly expiries.
  • NDAGI flip points in the 48-72 hours surrounding monthly and quarterly options expiration, these transitional windows reliably produce volatility regime changes.
  • Interaction between NDAGI and VVIX: when both signal stress simultaneously (deeply negative NDAGI, elevated VVIX), vol regime transitions tend to be sharpest and most durable.
  • 0DTE volume as a share of total SPX options volume as a real-time modulator of how quickly NDAGI can deteriorate intraday, above 45% share, treat any NDAGI reading as having a significantly shorter half-life.
  • Strike pinning behavior near large gamma-long nodes: if spot gravitates toward a high-open-interest strike in the final hour of trading, positive NDAGI is likely dominating that session regardless of the opening print.

Frequently Asked Questions

How is Net Delta-Adjusted Gamma Imbalance different from raw gamma exposure (GEX)?
Raw gamma exposure (GEX) sums the dollar gamma of all open options positions without weighting for how directionally sensitive each contract currently is, treating deep out-of-the-money options the same as at-the-money contracts. NDAGI weights each position by its delta, so options closest to the spot price — which will generate the most actual hedging flow on the next small price move — contribute disproportionately to the reading. In practice, NDAGI is a more accurate predictor of near-term dealer hedging behavior because it reflects the gamma that will actually be triggered rather than the theoretical maximum.
What does a negative NDAGI reading mean for intraday trading strategy?
A negative NDAGI reading signals that market makers are net short gamma and must buy as the market rises and sell as it falls to maintain delta-neutral books, creating a pro-cyclical feedback loop that amplifies intraday directional moves. Traders in a negative NDAGI environment should expect trend days rather than mean reversion, wider effective intraday ranges, and a higher probability that gap opens extend rather than fill. Strategies that rely on intraday mean reversion — such as fading early morning moves — carry significantly elevated risk when NDAGI is deeply negative.
Can NDAGI be used for assets other than S&P 500 options?
Yes, the NDAGI framework can be applied to any liquid options market with sufficient open interest data, including individual large-cap equities, Nasdaq 100 (QQQ/NDX), crude oil, and Treasury futures options. However, the signal is most reliable and most extensively validated for SPX and SPY options, where dealer market-making activity is most dominant and attribution models are most accurate. In smaller or less liquid markets, the dealer/customer trade attribution assumptions underlying NDAGI construction are more prone to error, reducing the signal's reliability.

Net Delta-Adjusted Gamma Imbalance is one of the signals monitored daily in the AI-driven macro analysis on Convex Trading. The platform synthesises data across monetary policy, credit, sentiment, and on-chain metrics to generate actionable trade recommendations. Create a free account to build your own signal layer and see how Net Delta-Adjusted Gamma Imbalance is influencing current positions.

ShareXRedditLinkedInHN

Macro briefings in your inbox

Daily analysis that explains which glossary signals are firing and why.