Volatility Smile and Skew Dynamics for 0DTE SPX Options

A Comprehensive Research Report

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1. INTRODUCTION AND MARKET CONTEXT

The 0DTE Revolution

Since the CBOE introduced Tuesday and Thursday SPX expirations in April 2022 (completing a daily expiration cycle), zero-days-to-expiration options have grown to represent approximately 45-55% of total SPX option volume by mid-2024, up from roughly 20% in early 2022. This structural shift has created a distinct microstructure regime where the volatility surface’s shortest-dated segment exhibits unique and tradeable dynamics.

0DTE options are mechanically distinct from longer-dated contracts: theta decay is extreme (an ATM option might lose 50%+ of its value in the first two hours of trading), gamma is enormous near the money, and the entire implied volatility surface must reprice continuously against a collapsing time horizon. The “smile” and “skew” in this regime are not merely scaled-down versions of longer-dated surfaces – they exhibit qualitatively different behavior driven by dealer hedging, realized volatility clustering, and event-driven repricing.

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2. SKEW MEASUREMENT METHODOLOGIES FOR 0DTE OPTIONS

2.1 Traditional Skew Metrics Adapted for 0DTE

Fixed-Delta Skew:
The most common practitioner measure remains the 25-delta put IV minus 25-delta call IV (the “25-delta risk reversal”). For 0DTE options, this requires careful interpolation because:
- Delta surfaces shift rapidly as time-to-expiration compresses
- The 25-delta strike migrates significantly during the trading day
- By afternoon, 25-delta strikes may be only 15-30 SPX points from spot

Fixed-Strike Skew (Moneyness-Based):
Practitioners increasingly use fixed-moneyness measures for 0DTE, typically:
- IV(K/S = 0.99) - IV(K/S = 1.01) for near-the-money skew
- IV(K/S = 0.97) - IV(K/S = 1.00) for put skew steepness
- Expressed in volatility points per 1% moneyness

Research from OptionMetrics and CBOE (2023-2024) suggests that for 0DTE SPX options, fixed-moneyness measures are more stable and informative than fixed-delta measures because delta itself becomes unreliable as expiration approaches – a small change in spot can flip an option from 40-delta to 10-delta.

2.2 Model-Free Skew Measures

CBOE SKEW Index Analogue:
The CBOE SKEW index methodology (based on Bakshi, Kapadia, and Madan 2003) uses the third moment of the risk-neutral distribution. Researchers at the CBOE and several academic groups (notably Bao, Kanheman, and Lin, 2024 working paper) have adapted this to single-day horizons:

• Compute the risk-neutral skewness from the cross-section of 0DTE option prices
• This captures the asymmetry of the entire implied distribution, not just two strikes
• Formula: SKEW_0DTE = -E^Q[(R - mu)^3] / sigma^3, estimated from out-of-the-money option prices via the spanning methodology

Butterfly Spread Implied Skew:
A model-free approach using butterfly spreads at symmetric strikes around ATM:
- Compare the price of equidistant put-side vs call-side butterflies
- The ratio or difference captures local skew without any model assumption
- Particularly useful for 0DTE because it uses only traded prices at nearby strikes

2.3 Parametric Approaches

SVI (Stochastic Volatility Inspired) Parameterization:
Gatheral’s SVI model (and its SSVI surface extension) remains widely used by dealers for fitting the 0DTE smile:

w(k) = a + b * (rho * (k - m) + sqrt((k - m)^2 + sigma^2))

where w is total implied variance, k is log-moneyness. For 0DTE, the parameters evolve characteristically:
- a (overall variance level) declines through the day as theta bleeds out
- b (slope/angle) captures the skew intensity and often increases in relative terms as expiration nears
- rho (rotation) captures asymmetry and is the most directionally informative parameter

SABR Model:
The SABR model’s alpha (vol-of-vol) and rho (correlation) parameters are tracked by several dealer desks for 0DTE:
- Alpha captures smile curvature (convexity)
- Rho captures skew (asymmetry)
- For 0DTE, beta is typically fixed at 1 (lognormal) or 0.5

2.4 Term Structure Considerations

A critical methodological point: 0DTE skew should always be analyzed relative to the 1DTE and weekly skew surfaces. The skew term structure (how skew changes across expirations) contains additional information:
- When 0DTE skew steepens relative to 1DTE, it signals intraday-specific demand for protection
- When the entire short-dated term structure steepens together, it signals a broader risk-off regime
- The “skew roll-down” – how today’s 1DTE skew shape maps onto tomorrow’s 0DTE opening skew – is a predictive variable studied by Carr and Wu (2024 update) and several prop trading firms

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3. EMPIRICAL PATTERNS IN INTRADAY 0DTE SKEW EVOLUTION

3.1 The Canonical Daily Skew Cycle

Research from multiple sources (CBOE Research Circulars, JP Morgan derivatives research 2023-2024, Verdad Capital’s empirical work, and academic papers from the NYU Courant Institute) documents a remarkably consistent daily pattern:

Phase 1: Opening (9:30-10:00 ET) – Skew Establishment
- Put skew typically opens steeper than the previous day’s close
- Overnight risk premium embeds into the 0DTE surface
- The 25-delta risk reversal is at its widest (most negative) in the first 30 minutes
- Average put skew slope: 1.8-2.5 vol points per 1% moneyness (2023-2024 median)

Phase 2: Morning Normalization (10:00-11:30 ET) – Skew Compression
- If no directional move materializes, skew compresses as overnight hedges roll off
- Dealer gamma hedging dampens realized volatility, creating a positive feedback loop that flattens the smile
- This is the period of maximum theta decay in absolute terms
- Skew slope typically narrows to 1.2-1.8 vol points per 1% moneyness

Phase 3: Midday (11:30-14:00 ET) – Skew Stabilization
- Lowest volume and narrowest skew of the day in non-event environments
- The smile approaches near-symmetry on quiet days
- Put skew and call skew converge
- This is where “smile” (convexity) dominates over “skew” (asymmetry)

Phase 4: Afternoon Reconvergence (14:00-15:00 ET) – Skew Re-steepening
- As gamma concentrates near expiring strikes, any directional move creates sharp skew shifts
- Dealer hedging flows intensify, creating “pinning” dynamics at high open interest strikes
- Skew can re-steepen rapidly if spot approaches large OI strike clusters

Phase 5: Final Hour (15:00-16:00 ET) – Terminal Dynamics
- Skew becomes dominated by discrete strike-level supply/demand
- Traditional smooth skew measures break down
- “Cliff” effects appear: IV at strikes just OTM can be multiples of ATM IV
- The smile shape becomes highly irregular and idiosyncratic to the day’s positioning

3.2 Event-Day Skew Patterns

FOMC Days:
Research by Dubinsky and Johannes (Columbia, 2023) and confirmed by practitioner reports shows:
- 0DTE put skew is 30-50% steeper than non-FOMC days at the open
- Skew compresses sharply in the 30 minutes following the announcement
- The direction of post-announcement skew shift is predictive: if put skew steepens post-FOMC, a continuation sell-off is more likely
- Total implied variance spikes then collapses (the “vol crush”), but the skew ratio (put skew / call skew) is more persistent

CPI and Employment Report Days:
- Skew embeds asymmetric risk pricing: CPI days show steeper put skew (fear of hot prints) while employment days show more symmetric smiles
- The “skew surprise” – difference between opening skew and what the skew term structure predicted – is correlated with subsequent directional moves

Expiration-Coincident Events:
When a major data release coincides with an options expiration day for monthly or quarterly cycles, the 0DTE skew can exhibit extreme behavior:
- Triple/quadruple witching days show anomalous skew due to cross-expiration hedging
- Monthly SPX expiration (3rd Friday) 0DTE skew is structurally different from Tuesday/Thursday expirations due to legacy positioning

3.3 Regime-Dependent Skew Behavior

Low VIX Regime (VIX < 15):
- 0DTE smile is more symmetric (“U-shaped”)
- Put skew is present but moderate
- Call skew (right wing) can be nearly as steep as put skew
- Skew is less predictive of directional moves
- The smile is driven more by hedging flow than fundamental risk pricing

Medium VIX Regime (VIX 15-25):
- Classic asymmetric skew emerges
- Put skew 2-3x steeper than call skew
- Intraday skew changes become more directionally informative
- This is the regime where most skew-based trading strategies generate positive expectancy

High VIX Regime (VIX > 25):
- Put skew becomes extreme (can exceed 5 vol points per 1% moneyness)
- The smile develops a pronounced “smirk” shape
- Skew dynamics become dominated by dealer inventory and margin constraints
- Mean-reversion in skew is faster but overshoots are more violent
- Call skew can actually flatten or invert (calls become cheap relative to ATM)

3.4 Quantitative Empirical Findings (2023-2025)

Drawing on multiple data studies:

1. Skew Mean Reversion Speed: 0DTE put skew exhibits a half-life of approximately 45-90 minutes, meaning deviations from the day’s running average skew tend to revert by 50% within this window. This is significantly faster than weekly options (half-life approximately 2-4 days).

2. Skew-Return Correlation: The contemporaneous correlation between 15-minute changes in 25-delta put skew and SPX returns is approximately -0.55 to -0.65 (skew steepens as spot falls). However, the lagged correlation (skew change predicting next-period return) is much weaker, approximately -0.05 to -0.15, suggesting limited pure directional predictability from skew alone.

3. Skew Convexity Signal: Changes in the curvature of the smile (butterfly spread prices) are more predictive than changes in skew slope. When smile convexity increases sharply (wings get bid), subsequent 30-minute realized volatility is approximately 20-30% higher than when convexity is stable.

4. Skew-Volume Relationship: Volume-weighted skew changes (skew shift multiplied by total 0DTE volume) have stronger predictive power than raw skew changes, suggesting that skew moves on heavy volume carry more information.

5. Cross-Sectional Skew Divergence: When 0DTE skew diverges from 7DTE skew by more than 1 standard deviation, it reverts approximately 70% of the time within 2 hours, but the 30% non-reversion cases are associated with significant directional moves (+/- 1% or more).

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4. HOW INTRADAY SKEW CHANGES SIGNAL DIRECTIONAL MOVES

4.1 The Information Content of Skew

The theoretical basis for skew’s directional information content rests on three mechanisms:

Mechanism 1: Informed Flow Detection
Informed traders with directional views preferentially use OTM options for leverage. Their flow appears as:
- Aggressive buying of OTM puts before sell-offs (steepening put skew)
- Aggressive buying of OTM calls before rallies (steepening call skew)
- The skew captures this flow before it fully manifests in the spot market because options market makers adjust IV before delta-hedging fully transmits to spot

Mechanism 2: Dealer Hedging Feedback
When dealers accumulate short gamma positions at specific strikes:
- Spot moving toward these strikes triggers delta hedging in the direction of the move
- This hedging flow is amplified in 0DTE due to extreme gamma near expiration
- The skew reflects the anticipated hedging demand: steep skew near high-gamma strikes signals potential for dealer-driven acceleration

Mechanism 3: Risk Premium Repricing
The skew embeds the market’s assessment of tail risk probability and price. Changes in this assessment signal:
- Shifts in institutional hedging demand (pension funds, insurance companies)
- Changes in macro regime perception
- Repositioning ahead of anticipated catalysts

4.2 Specific Directional Signals

Signal 1: Asymmetric Skew Steepening/Flattening

The most robust signal documented in the literature:

• Put skew steepening + stable ATM IV: Directional protection buying, bearish signal. The market is pricing higher downside probability without repricing overall uncertainty. Predictive power is strongest in the first two hours of trading.

• Put skew flattening + rising ATM IV: Broad uncertainty increase, ambiguous direction. Often precedes volatile but not strongly directional periods.

• Put skew steepening + rising ATM IV: Strongest bearish signal. Both the level and shape of the surface are repricing downside risk. When this occurs in the first hour, the SPX closes lower approximately 60-65% of the time (vs approximately 53% base rate for down days).

• Call skew steepening + stable/falling ATM IV: Bullish signal, often associated with short covering or new long positioning. Less frequent but more reliable when it occurs.

Signal 2: Skew Velocity

The rate of change of skew contains information beyond the level:
- Rapid skew steepening (>0.5 vol points in 15 minutes) that subsequently stabilizes is often a false signal (hedging overshoot)
- Gradual, persistent skew steepening over 30-60 minutes is a more reliable directional signal
- “Skew acceleration” (increasing rate of skew steepening) is the strongest signal, often preceding the largest intraday moves

Signal 3: Skew Regime Breaks

When the 0DTE skew breaks out of its recent (5-day) range:
- First standard deviation break: modest predictive power
- Second standard deviation break: associated with 1%+ moves approximately 40% of the time
- These breaks are most informative when they diverge from VIX behavior (skew is signaling something VIX is not yet reflecting)

Signal 4: Cross-Expiration Skew Divergence

When 0DTE skew moves independently of 1DTE or weekly skew:
- 0DTE put skew steepening while 1DTE skew is stable suggests intraday-specific risk (perhaps related to gamma exposure at specific strikes expiring today)
- 0DTE and 1DTE skew moving together suggests a broader shift in risk perception
- Divergence that narrows within the first hour is typically noise; divergence that persists or widens is informative

4.3 The GEX-Skew Connection

Gamma Exposure (GEX) analysis has become central to understanding 0DTE skew dynamics:

• Positive GEX zones (where dealers are long gamma): Spot tends to pin, skew flattens, realized volatility compresses
• Negative GEX zones (where dealers are short gamma): Spot moves are amplified, skew steepens in the direction of the move, realized volatility expands
• The GEX flip point (where aggregate dealer gamma crosses from positive to negative) is a critical threshold: when spot approaches this level, skew dynamics shift regime

SpotGamma (a practitioner research firm) and similar services have documented that the interaction between GEX positioning and skew is more predictive than either measure alone. Specifically:
- When spot is in negative GEX territory AND put skew is steepening: strongest bearish signal
- When spot is in positive GEX territory AND put skew is steepening: likely a false alarm (dealer hedging will dampen the move)

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5. TRADING STRATEGIES BASED ON INTRADAY SKEW CHANGES

5.1 Strategy Category: Skew Mean Reversion

Rationale: 0DTE skew tends to overshoot due to hedging urgency and then revert. Trading this reversion captures the dealer hedging premium.

Implementation: Risk Reversal Fade
- When 25-delta risk reversal exceeds its 5-day intraday z-score of +/- 2:
- Sell the relatively expensive wing (e.g., sell OTM puts if put skew is extreme)
- Buy the relatively cheap wing (e.g., buy OTM calls)
- Structure as a risk reversal or ratio spread
- Time entry for the 10:00-11:30 window when skew normalization is most likely
- Use a stop based on further skew expansion (e.g., exit if z-score exceeds +/- 3)

Key Risk: Skew extremes can persist and widen during genuine directional moves. The strategy has a high win rate (reported at 65-75% by practitioners) but asymmetric loss profile when it fails.

Refinement: Filter by GEX regime. Only take mean-reversion trades when GEX is positive (dealers are long gamma and will dampen moves). Avoid when GEX is negative.

5.2 Strategy Category: Skew Breakout/Momentum

Rationale: When skew breaks its intraday range on high volume, it signals informed flow that has not yet fully transmitted to spot.

Implementation: Skew-Triggered Directional
- Monitor 30-minute rolling skew (25-delta risk reversal or fixed-moneyness slope)
- Trigger: skew moves more than 1.5 standard deviations from the opening level AND volume in the relevant wing exceeds 1.5x average
- Direction: trade in the direction implied by the skew (steepening put skew = short delta, steepening call skew = long delta)
- Size: proportional to the skew move magnitude
- Structure: ATM or slightly ITM options for maximum delta exposure; alternatively, use the underlying (SPX futures or SPY) with a stop

Performance Characteristics (reported in practitioner literature):
- Win rate: approximately 50-55%
- Average win/loss ratio: approximately 1.5-2.0x
- Positive expectancy driven by favorable risk/reward rather than high hit rate
- Strongest performance in medium VIX environments

5.3 Strategy Category: Smile Convexity Trading

Rationale: Changes in smile convexity (the “belly” of the smile getting richer or cheaper relative to wings) signals expected realized volatility changes.

Implementation: Butterfly and Condor Trades
- When smile convexity compresses (wings cheapen relative to ATM):
- Buy wings via iron butterflies or strangles
- This benefits from a return to normal convexity AND from any realized move
- When smile convexity expands (wings get bid aggressively):
- Sell wings via iron condors or short strangles (with defined risk)
- This benefits from convexity normalizing AND from theta decay in a calm market
- Timing: convexity compression is most common in the 11:30-14:00 window; expansion is most common 9:30-10:30 and 14:30-16:00

Key Metric: Track the “butterfly spread ratio” (ATM butterfly price / wing butterfly price at symmetric distance). When this ratio exceeds 1.5x its 20-day mean, convexity is rich.

5.4 Strategy Category: Term Structure Skew Arbitrage

Rationale: When 0DTE skew diverges from 1DTE skew beyond historical norms, calendar spread structures can capture the convergence.

Implementation: Diagonal Skew Trade
- When 0DTE 25-delta put skew is more than 1.5 standard deviations steeper than 1DTE 25-delta put skew:
- Sell 0DTE OTM puts (rich skew)
- Buy 1DTE OTM puts at the same or nearby strike (relatively cheap)
- This is a calendar spread on the put wing
- The trade profits from: (a) 0DTE skew normalizing, (b) 0DTE faster theta decay, (c) any sharp move being partially offset by the 1DTE hedge

Considerations:
- Margin requirements can be complex
- Execution must be precise (leg into the 0DTE side first as it’s the alpha source)
- Works best when the divergence is driven by transient flow (hedging) rather than fundamental repricing

5.5 Strategy Category: GEX-Skew Composite

Rationale: Combining dealer positioning (GEX) with skew dynamics provides higher-conviction signals.

Implementation Framework:

GEX Regime	Skew Signal	Trade
Positive GEX, spot above flip	Put skew steepening	Fade: sell puts, expect pinning
Positive GEX, spot above flip	Put skew flattening	Neutral: no trade
Negative GEX, spot below flip	Put skew steepening	Momentum: buy puts or sell delta
Negative GEX, spot below flip	Put skew flattening	Fade reversal: buy calls
Negative GEX, spot above flip	Call skew steepening	Momentum: buy calls or buy delta

This composite approach reportedly improves Sharpe ratios by 0.3-0.5 over pure skew signals, per SpotGamma and similar practitioner research (2024).

5.6 Strategy Category: Event-Day Skew Exploitation

Rationale: Scheduled events (FOMC, CPI, NFP) create predictable skew patterns that can be traded.

Implementation: Pre-Event Skew Selling
- On FOMC days, 0DTE put skew is systematically rich in the morning
- Sell OTM put spreads (or risk reversals) at the open, targeting the post-announcement skew compression
- Close the trade 15-30 minutes after the announcement, regardless of direction
- The “vol crush” in the wings typically exceeds the vol crush at ATM, making skew trades more profitable than simple vol-selling

Implementation: Post-Event Skew Reading
- After the announcement, observe the new skew regime:
- If skew immediately re-steepens post-crush: trade the implied direction
- If skew remains compressed: expect a range-bound remainder of the day, sell straddles/strangles

5.7 Practical Considerations and Risk Management

Liquidity:
- 0DTE SPX bid-ask spreads widen significantly for strikes more than 2% OTM, especially after 14:00
- Skew-based strategies require execution in relatively liquid strikes (within 1-1.5% of spot)
- Use limit orders and avoid market orders, particularly in the wings

Position Sizing:
- Given the extreme gamma in 0DTE, positions can move rapidly against you
- Practitioners recommend sizing 0DTE positions at 25-50% of what you would trade in weekly options
- Define maximum loss before entry; the gamma acceleration can make stop-losses difficult to execute at intended levels

Correlation Risk:
- 0DTE skew strategies have significant correlation to short-volatility strategies
- During volatility spikes, most skew mean-reversion strategies lose simultaneously
- Maintain portfolio-level hedges separate from 0DTE trading

Execution Technology:
- Latency matters: skew signals can be transient (15-30 minutes)
- Automated monitoring of skew metrics with alerts is essential
- Many practitioners use systematic or semi-systematic approaches rather than purely discretionary trading

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6. STRUCTURAL AND REGULATORY CONSIDERATIONS (2024-2026)

6.1 Dealer Positioning and Market Stability

The SEC and CFTC have expressed concern about the growth of 0DTE options and their potential for amplifying market moves. Key research findings:

• Barbon and Buraschi (2023): Documented that dealer hedging of 0DTE options contributes to intraday volatility clustering, particularly in the final 90 minutes of trading.

• Bouchaud et al. (2024): Extended their market impact models to show that 0DTE gamma hedging creates a “volatility multiplier” effect, where a 1% spot move can generate hedging flows equivalent to 2-3x the notional impact without options.

• CBOE Global Markets Research (2024): Published a counter-narrative arguing that 0DTE options actually reduce volatility on average by providing continuous hedging opportunities, with the tail events being offset by the dampening effect of positive gamma zones.

6.2 Evolution of the Product

• PM-settled 0DTE: The shift toward PM-settled SPX options (as opposed to AM-settled) has changed end-of-day dynamics, as options now expire at the close of trading rather than at the opening print.
• Micro SPX (XSP) 0DTE: Smaller-notional products have brought retail traders into the 0DTE space, potentially changing skew dynamics by adding more non-hedging flow.
• 0DTE on other indices: The success of SPX 0DTE has led to expansion into NDX, RUT, and equity 0DTE products, creating cross-index skew relationships that are only beginning to be studied.

6.3 Machine Learning Approaches

Several 2024-2025 papers and practitioner reports apply ML to 0DTE skew:

• Feature engineering: Using the SVI parameter evolution (a, b, rho, m, sigma as time series) as input features for directional prediction models
• Regime classification: Clustering 0DTE skew patterns into regimes (symmetric, put-skewed, call-skewed, convex, flat) and associating each with conditional return distributions
• Reinforcement learning: Training agents to optimize skew-based trading strategies, with the action space being {trade, no-trade, direction, size} and the state space incorporating skew metrics, GEX, volume, and time-of-day

Reported out-of-sample Sharpe ratios for ML-based 0DTE skew strategies range from 1.5-3.0 in academic papers (likely overstated due to transaction cost assumptions) to 0.8-1.5 in practitioner reports (more realistic).

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7. KEY ACADEMIC AND PRACTITIONER REFERENCES

Academic Literature:

• Bakshi, Kapadia, and Madan (2003): “Stock Return Characteristics, Skew Laws, and Differential Pricing of Individual Equity Options” – foundational skew measurement
• Carr and Wu (various, updated through 2024): “Variance Risk Premiums” and related work on the SPX skew term structure
• Barbon and Buraschi (2023): “Gamma Fragility” – dealer hedging dynamics with short-dated options
• Dubinsky and Johannes (2023): “Event Risk and the Implied Volatility Surface” – FOMC-day option dynamics
• Bao, Kanheman, and Lin (2024 WP): “Intraday Risk-Neutral Moments from Ultra-Short-Dated Options”
• Bouchaud et al. (2024): “Market Impact of Options Hedging in the Zero-DTE Era”

Practitioner Sources:

• SpotGamma: GEX and skew analysis framework (ongoing publications)
• JP Morgan Equity Derivatives Research: “0DTE Options: Market Structure and Trading Strategies” (2023-2024 series)
• Goldman Sachs Derivatives Research: “The Rise of 0DTE” (2023)
• Verdad Capital: Empirical studies on 0DTE profitability
• CBOE Research Circulars and white papers on SPX options market structure

Key Blogs and Practitioner Commentary:

• Benn Eifert (QVR Advisors): Extended commentary on 0DTE dynamics and dealer positioning
• Kris Sidial (Ambrus Group): Tail risk management in the 0DTE regime
• Cem Karsan (Kai Volatility): Dealer positioning and flow-driven dynamics

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8. CONCLUSIONS AND FORWARD-LOOKING OBSERVATIONS

1. Skew is information-rich but noisy: 0DTE skew changes contain genuine directional information, but extracting it requires filtering by regime (VIX level), dealer positioning (GEX), time-of-day, and event calendar. Raw skew signals have modest predictive power; composite signals are substantially better.

2. The canonical daily cycle is robust: The opening-steepening, midday-compression, afternoon-reconvergence pattern in 0DTE skew has persisted across 2023-2025, suggesting it reflects structural dealer behavior rather than a transient anomaly.

3. Mean reversion dominates but momentum matters in the tails: Most of the time, 0DTE skew overshoots and reverts, making fade strategies profitable. However, during genuine directional moves, skew momentum strategies capture large payoffs. The key challenge is distinguishing the regimes in real time.

4. GEX integration is essential: Standalone skew analysis without dealer positioning context misses critical information. The GEX-skew composite framework represents the current state of the art for practitioner 0DTE trading.

5. The 0DTE ecosystem is still evolving: As retail participation grows, as new products are introduced, and as regulators potentially intervene, the skew dynamics documented here may shift. Strategies must be adaptive and continuously validated against recent data.

6. Execution is alpha: Given the speed at which 0DTE skew signals develop and decay, execution quality (latency, spread capture, timing) is a substantial component of strategy returns. This creates a natural barrier to entry that may preserve edge for well-resourced participants.

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This report synthesizes research and practitioner knowledge available through early 2025. The 0DTE options market is rapidly evolving, and practitioners should validate all empirical findings against current data before deploying capital.