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Dealer Positioning Explained: How Market Makers Drive Crypto Price

Market makers do not bet on direction. They hedge. Their hedging is the single largest non-discretionary force on intraday BTC and ETH price. Here is how to read it.

May 3, 2026
12 min read

Most discussion of options markets focuses on what speculators do — the bets, the calls and puts, the directional theses. The far larger and more mechanical force is the other side: market makers who quote both directions of every strike and hedge their inventory constantly in spot and perpetuals. That hedging is what people mean by dealer positioning, and reading it correctly is the difference between trading options-aware and trading blind.

This guide covers what dealer positioning is, how it is inferred from public data, why it dominates intraday flow, what specific features traders watch for, and how to use it as a regime filter in BTC and ETH.

What dealer positioning means

Options market makers stand between buyers and sellers. They quote tight two-sided markets across thousands of strikes and earn the spread, then hedge whatever inventory they end up with in spot or perpetuals to stay delta-neutral. They do not have a directional view. Their P&L comes from spread capture, theta, and volatility risk premium — not from being right about price.

Because they are constantly delta-hedging, every move in spot forces them to trade in the underlying. The aggregate of those forced trades is what we mean by positioning flow. Positioning is the inventory state that produces those flows.

How positioning is inferred

Nobody publishes dealer books. They never will. The way analysts estimate positioning is by combining public open-interest data with assumptions about who holds each side of each strike.

  • Open interest is public. Every option strike on Deribit, Bybit, Binance, and OKX has a known number of outstanding contracts.
  • Sign assumptions are educated. The standard rule of thumb is that customers are net long puts (for hedging) and net long calls in rallying regimes (for upside). That makes dealers net short, with offsetting flow occurring between dealers themselves.
  • Crypto inverts more often than equities. During strong bull markets, retail customers can become net long calls while structured-product flow leaves dealers net long puts. Crypto-specific models calibrate against actual spot prints to detect when sign assumptions need to flip.
  • Aggregation across venues matters. A Deribit-only positioning read misses Bybit, Binance, and OKX flows entirely. Aggregated positioning is materially different from single-venue.

The output is a strike-by-strike profile of estimated dealer inventory, plus rollups for net gamma, net vanna, and net charm across the entire book. The strike profile drives walls and pinning levels; the rollups drive regime classification.

Why dealer flow dominates intraday

BTC and ETH options open interest has grown to a level where dealer hedging flows can move spot meaningfully on their own. Two mechanical reasons dominate.

Gamma forces continuous re-hedging

Gamma is the rate at which delta changes. As spot moves, the delta of every option in the book shifts, and dealers must re-hedge to stay neutral. The bigger the book and the closer to expiry, the more aggressive the re-hedge. Near expiry on a busy weekly, dealer hedging on 1% spot moves can amount to nine-figure dollar flows in BTC alone.

Vanna and charm add second-order flow

Beyond gamma, dealer deltas also drift as IV changes (vanna) and as time passes (charm). These second-order flows are smaller per unit but compound continuously. Vanna flow during vol-crush sessions and charm flow on Friday afternoon are well-documented recurring forces in spot.

Dealer positioning is the only major intraday flow in BTC that is both predictable in direction and measurable in size. Nothing else (macro, funding, liquidations) gives you both at once.

What positioning data looks like

A dealer-positioning view typically presents three layers.

Net positioning summary

A single-line read: positive or negative net dealer gamma, the current zero-gamma flip price, and the expected dealer hedging magnitude per percent move. Together these define the regime in one glance.

Strike-by-strike distribution

The shape of dealer inventory across the strike grid. Tall bars indicate concentrated open interest where hedging will concentrate. Walls (call walls above spot, put walls below) emerge as the dominant magnets and barriers.

Higher-order Greeks

Net vanna and net charm exposure, often plotted alongside gamma. Large vanna concentrations warn of vol-driven hedging on the next IV move; large charm concentrations warn of time-driven hedging on the next decay session.

How to use dealer positioning

Positioning is the regime filter every other signal runs through. The same chart pattern, the same news, the same volume looks completely different above versus below the gamma flip.

  • Above the flip (positive gamma): Expect range-bound action, mean reversion to large strikes, and pinning into expiry. Trade smaller targets and tighter profit-taking.
  • Below the flip (negative gamma): Expect trend extension, larger ranges, and breakouts that follow through. Trade momentum strategies and size up runners.
  • At a wall: Treat the wall as resistance or support proportional to the strike’s OI concentration. Larger OI = stronger wall.
  • Through a wall: When price breaks a major wall, the regime can flip quickly. The protection inverts. React fast or sit out.
  • Into vol-shifts: Vanna flows from large short-vol positions can drive directional drift in spot during IV moves, even with no fundamental news.

Crypto-specific dealer dynamics

Crypto positioning differs from equity index positioning in several ways traders should be aware of.

  • Twenty-four-hour markets. No close means no rest from hedging. Dealer flows happen at all hours.
  • Smaller, more concentrated dealer set. The crypto market-making community is smaller and more concentrated than equity index market making. Positioning shifts can happen faster when one or two desks rebalance.
  • Multi-venue fragmentation. Books are aggregated across Deribit, Bybit, Binance, and OKX. Single- venue positioning is incomplete and frequently misleading.
  • Retail-heavy customer side. Crypto options have more retail flow than equity options, which produces more variable sign assumptions. Calibrated models matter more.
  • Weekly cadence. Friday 08:00 UTC reshapes the book every week. Positioning is never static for long.

Common misconceptions

“Dealers know where price is going.” They do not. They have a structural inventory advantage and a mechanical hedging requirement, but they are not directional traders.

“Dealer positioning predicts price.” It predicts reaction, not direction. A given news catalyst plays out completely differently above versus below the flip, but positioning alone does not tell you whether the news will land bullish or bearish.

“Positioning is private and unknowable.” The aggregate state can be inferred to high confidence from public OI data and crypto-calibrated sign assumptions. The individual desk-by-desk breakdown is private; the market-wide net is not.

“Positioning matters only at expiry.” Hedging happens continuously. OpEx is when flows concentrate, but Tuesday at 13:00 UTC has dealer hedging too — it is just quieter.

Frequently asked questions

What is dealer positioning?

Dealer positioning is the aggregate book of options market makers, broken down by strike and expiry. It is estimated from public open-interest data plus assumptions about who is naturally long or short each side. Reading dealer positioning lets you anticipate whether their hedging will damp or amplify the next move.

How is dealer positioning inferred if no one publishes it?

Open interest is public. The hard part is sign convention — deciding which side of each strike dealers are on. Standard models assume customers are net long calls in bullish regimes and net long puts in bearish regimes. Crypto-specific models adjust for venue mix, retail dominance, and observed dealer-flow signatures from spot prints.

Why does dealer positioning matter?

Market makers do not take directional bets. They hedge their inventory in spot and perpetuals. As price moves, the delta of every option in their book changes, which forces them to trade. That continuous, mechanical, non-discretionary flow is large enough in BTC and ETH to dominate intraday price action.

How is dealer positioning different from gamma exposure?

Gamma exposure (GEX) is one read on dealer positioning — specifically, how much they must trade per percent move. Full positioning includes gamma plus vanna, charm, and the strike-by-strike distribution of their book. GEX is the headline number; positioning is the full picture.

Are dealer-positioning estimates accurate?

They are directionally accurate at scale and most reliable when open interest is concentrated at a small number of strikes. Edge cases — large bespoke trades, OTC blocks, or unusual flows — can shift dealer books in ways public OI data does not capture. Treat positioning as a high-confidence regime read, not a precise inventory.

How do crypto traders use dealer positioning?

As a regime filter for everything else: trend strategies above the gamma flip get sized smaller, mean-reversion strategies above the flip get sized larger. Walls and pinning levels become explicit targets. Negative-gamma regimes get treated as breakout-favorable until proven otherwise.

Does dealer positioning change in real time?

Yes. As new options are written or closed, as spot moves, and as expiries roll off, the dealer book updates continuously. The book at Monday morning is not the book at Friday afternoon. Live data is essential — snapshots go stale within hours.

Is dealer positioning a leading indicator?

No. It is a regime indicator. It does not tell you which way price will go; it tells you how price will react to the move that does happen. Dealer positioning combined with a directional thesis is far more powerful than positioning alone.

See it live

Live BTC and ETH dealer positioning, gamma, vanna, and charm.

Real-time net dealer gamma, vanna and charm exposure, strike-by-strike OI distribution, and the gamma flip line. Aggregated across Deribit, Bybit, Binance, and OKX on the BackQuant Terminal.

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