Core Concepts
The quantitative foundations behind every Ohey analytics window.
Gamma Exposure (GEX)
Gamma Exposure quantifies the dollar amount of shares that options market makers must buy or sell to maintain delta neutrality as the underlying moves $1. It is the single most important concept on the Ohey platform.
| Concept | What It Means | Market Impact |
|---|---|---|
| Positive GEX | Dealers are long gamma — they own options with convex payoffs | Dealers buy dips, sell rallies → stabilizing, mean-reverting price action |
| Negative GEX | Dealers are short gamma — they sold options and are exposed to moves | Dealers sell into selloffs, buy into rallies → amplifying, trending price action |
| Gamma Flip | The strike price where aggregate dealer gamma switches sign | Crossing the flip level often triggers a volatility regime change |
| Gamma Wall | A strike with extremely concentrated gamma exposure | Acts as a price magnet or barrier — dealers hedge heavily around it |
Implied Volatility Surface
The IV surface maps implied volatility across two dimensions: strike price and time to expiration. It captures the market's consensus expectation for future realized volatility at every strike–expiry combination.
- Volatility Smile / Skew: IV typically increases for deep out-of-the-money puts (crash protection premium) and sometimes for far OTM calls. The shape reveals supply/demand imbalances in the options market.
- Term Structure: How IV changes across expirations. An inverted term structure (short-dated IV > long-dated) often signals event risk or near-term stress.
- Surface Dynamics: Shifts in the IV surface between snapshots reveal how market expectations are evolving — critical for vol trading and hedging decisions.
Open Interest Analysis
Open Interest (OI) is the number of outstanding options contracts at a given strike and expiration. Unlike volume (which measures contracts traded today), OI reflects accumulated positioning.
- Delta-Weighted OI: Each strike's OI multiplied by its delta gives a directional reading. Heavy put-delta OI below the market suggests dealers have significant short delta exposure to hedge.
- OI Clustering: Strikes with abnormally high OI often act as magnets for price (pinning) or support/resistance levels. Institutional positioning concentrates at round strikes.
- Pin Risk: Near expiration, large OI at a strike creates incentive for market makers to push the underlying toward that strike to minimize payout.
The Greeks
Options Greeks measure the sensitivity of an option's price to changes in underlying parameters. Understanding Greeks is essential for risk management and position sizing.
| Greek | Measures | Practical Meaning |
|---|---|---|
| Delta (Δ) | Price change per $1 move in underlying | A delta of 0.50 means the option moves ~$0.50 for each $1 move. Also approximates probability of expiring ITM. |
| Gamma (Γ) | Rate of change of delta | High gamma = delta changes rapidly. Near-expiry ATM options have the highest gamma — small price moves cause large delta shifts. |
| Theta (Θ) | Time decay per day | How much value an option loses each day if nothing else changes. Accelerates as expiration approaches. |
| Vega (ν) | Sensitivity to implied volatility | Dollar change per 1% change in IV. Longer-dated options have more vega. Key for vol trading strategies. |
| Rho (ρ) | Sensitivity to interest rates | Usually minor for short-dated options. Becomes material for LEAPS and in changing interest rate environments. |
Dealer Hedging Mechanics
When a retail trader buys a call option, a dealer (market maker) sells it. The dealer is now short delta and must hedge by buying the underlying stock. As the stock price moves, the dealer's delta exposure changes — forcing continuous rebalancing.
- Hedging Pressure = |Gamma × Delta| × OI × 100: This formula (used in the Dealer Hedging Pressure window) quantifies the dollar amount of shares dealers must trade to stay hedged at each strike.
- Net effect on markets: Dealer hedging flows are one of the largest, most predictable, non-discretionary forces in equity markets. Understanding them gives you a structural edge.
- Intraday patterns: Dealer hedging accelerates near the close and especially on OPEX days (options expiration), when gamma effects are maximized.
Market Regime Detection
A market regime is a persistent state characterized by specific statistical properties — trending vs. mean-reverting, low-vol vs. high-vol, correlated vs. dispersed. Strategies that work in one regime often fail in another.
| Regime | Characteristics | Typical Strategy Fit |
|---|---|---|
| Trending | Sustained directional moves; negative dealer gamma amplifies momentum | Directional spreads (Bull Call Spread, Bear Put Spread), trend-following entries |
| Mean-Reverting | Price oscillates around gamma walls; positive dealer gamma stabilizes | Iron condors, iron butterflies, premium-selling strategies near key strikes |
| Low Volatility | Compressed IV, narrow ranges, low option premiums | Long gamma via cheap straddles; position for eventual vol expansion |
| High Volatility | Elevated IV, wide daily ranges, expensive premiums | Premium selling at elevated IV, hedged short vol, calendar spreads |
| Crisis | Extreme put skew, correlation spike, dealer gamma deeply negative | Protective positions; avoid premium selling; monitor for reversal signals |
- Regime shifts: Transitions between regimes create the largest opportunities (and risks). The RegimeShift window monitors transition probabilities in real time using confidence ratios derived from the options positioning data.
- Strategy alignment: PulseDeck uses regime detection to present regime-appropriate strategy considerations — e.g. Long Call or Bull Call Spread in bullish regimes vs. Iron Condor in neutral regimes. See methodology →
Platform Data Architecture
Every analytics window on Ohey is powered by a unified Data Abstraction Layer that aggregates, normalizes, and delivers options data in two modes:
Many PRO-tier windows offer both HTTP and WebSocket versions. The WebSocket version provides lower latency and continuous updates without manual refresh. All data is authenticated via JWT and encrypted in transit. For a deeper technical overview, see Data Infrastructure.