Skip to main content
Inflexion does not invent a pricing theory. It applies two established results to a v3 LP position and then prices the exact, capped payoff with a closed-form Φ-sum. This page covers the two anchors, the short-gamma chain that ties them to the IL claim, and — emphatically — why they validate the approach but are not the on-chain pricer.
One-line takeaway. The literature tells us an LP is short gamma and that its loss is the realization of that short-gamma cost. That is why the claim is priceable and hedgeable. The price itself comes from the exact Φ-sum — E_Q[min(IL, MaxIL)] evaluated live per quote — not from these papers. Anchors justify; the Φ-sum computes.

The chain in one diagram

The whole intellectual argument is a five-link chain. Each link is either a property of the v3 value function (proven in the IL formula and the MaxIL derivation) or one of the two academic anchors.
1

V_lp is concave in price

Inside the range, the v3 LP value Vlp(P)=L (2P−Pa−P/Pb)V_{lp}(P) = L\,(2\sqrt{P} - \sqrt{P_a} - P/\sqrt{P_b}) is strictly concave: d2Vlp/dP2=−14L P−3/2<0d^2 V_{lp}/dP^2 = -\tfrac14 L\,P^{-3/2} < 0 for all P>0P>0. Holding the entry basket, Vhold(P)V_{hold}(P), is affine. Concave value vs. an affine benchmark is the source of IL.
2

Concave value ⇒ the LP is short gamma

Negative second derivative of value with respect to price is the definition of negative gamma. A v3 LP is structurally short gamma — they have sold optionality to the pool.
3

Short gamma ⇒ the LP pays LVR (MMR 2022)

Milionis-Moallemi-Roughgarden show the AMM’s adverse-selection cost — loss-versus-rebalancing (LVR) — has a closed form proportional to instantaneous variance, equivalently the theta (time-decay) of the replicating short-option position. Short gamma is paid for in continuous theta bleed; that bleed is LVR.
4

LVR realized over the position ⇒ IL owed

Integrated over the life of the position, that short-gamma / LVR cost is what shows up at settlement as realized impermanent loss, realized_IL=max⁡(0, Vhold−Vlp)\text{realized\_IL} = \max(0,\,V_{hold} - V_{lp}).
5

Inflexion sells the offsetting long-convexity leg (LLS 2025)

Lipton-Lucic-Sepp show an IL-protection claim is statically replicable by a strip of vanilla options — so it has a model-light fair value and a concrete hedge. Inflexion sells the LP exactly that long-convexity leg, capped at the in-range maximum (MaxIL), and prices it as the risk-neutral expectation of the capped payoff.
The compressed form:
VlpV_{lp} concave ⇒ LP short gamma ⇒ pays LVR ⇒ owes IL; Inflexion sells the LP the long-convexity leg that offsets it, capped at the in-range maximum (MaxIL), and prices it with the exact risk-neutral expectation of that capped payoff (the Φ-sum).

Anchor 1 — Lipton, Lucic & Sepp (2025): static replication

Result. An IL-protection claim on a concentrated-liquidity position is statically replicable by a strip of vanilla options. Why it matters for Inflexion. Static replication is a strong statement: it means the claim’s payoff can be reproduced, at expiry, by a fixed portfolio of vanilla calls/puts chosen once — no dynamic rebalancing required. Two consequences fall straight out:

Model-light fair value

A statically replicable payoff inherits the option strip’s price. Its fair value does not depend on a bespoke, calibrated model — it is the value of a known portfolio of vanillas. This is the licence to publish a fair value at all.

A concrete hedge exists

Replication is constructive: the same strip an underwriter could buy to neutralize the risk it has written. This is what makes the written risk a hedgeable book, not an actuarial bet — and it underpins the pool hedge lever on the roadmap.
The v3 LP value function makes the replication tangible. Recall the three regimes (see the IL formula): Vlp(P)={L (1/Pa−1/Pb)⋅PP<Pa(linear)L (2P−P/Pb−Pa)Pa≤P≤Pb(concave)L (Pb−Pa)P>Pb(constant)V_{lp}(P) = \begin{cases} L\,(1/\sqrt{P_a} - 1/\sqrt{P_b})\cdot P & P < P_a \quad(\text{linear}) \\[4pt] L\,(2\sqrt{P} - P/\sqrt{P_b} - \sqrt{P_a}) & P_a \le P \le P_b \quad(\text{concave}) \\[4pt] L\,(\sqrt{P_b} - \sqrt{P_a}) & P > P_b \quad(\text{constant}) \end{cases} The concave middle arm is precisely a short-option payoff profile (capped on the upside, sloping into both tails), and the kinks at PaP_a and PbP_b are where the replicating strip’s strikes sit. That this concave value can be written as a portfolio of vanillas is the LLS statement applied to v3.

Anchor 2 — Milionis, Moallemi & Roughgarden (2022): LVR

Result. In Automated Market Making and Loss-Versus-Rebalancing, the AMM’s adverse-selection cost — LVR — has a closed form proportional to instantaneous variance, equivalently the theta of the replicating short-option position. Why it matters for Inflexion. LVR is the closed-form anchor for the cost of short-gamma exposure. Schematically, the instantaneous LVR rate scales with σ2\sigma^2 and the position’s curvature: LVR rate  ∝  12 σ2 P2 ∣ ∂2Vlp/∂P2 ∣  =  Θshort option\text{LVR rate} \;\propto\; \tfrac12\,\sigma^2\,P^2\,\big|\,\partial^2 V_{lp}/\partial P^2\,\big| \;=\; \Theta_{\text{short option}} This is the precise sense in which a v3 LP “bleeds”: holding a concave position through volatility costs theta continuously, and that theta is the LVR. Realized IL is the cumulative realization of this cost over the position’s life. The variance-proportionality is also the bridge to the protocol’s only stochastic input — the same σ\sigma that drives LVR is the σref\sigma_{ref} the σ_ref oracle feeds into the price.
The two anchors are complementary, not redundant. MMR gives the cost of being short gamma (the theta you bleed). LLS gives the cure — a static strip that buys the offsetting long-convexity. Inflexion sells the LP that cure. One paper tells you the disease is priceable; the other tells you it is hedgeable.

Why “capped” is where Inflexion departs from the textbook

The anchors describe the uncapped IL claim. Inflexion does not sell that. It sells min⁡(realized_IL,MaxIL)\min(\text{realized\_IL}, \text{MaxIL}) — the in-range maximum, frozen at creation. The reason is structural, not cosmetic: beyond the range the LP has fully rotated into one asset, so VlpV_{lp} is constant while VholdV_{hold} keeps growing linearly, making absolute IL unbounded above PbP_b. covered_payoff=min⁡(realized_IL, MaxIL),MaxIL=max⁡(IL(Pa), IL(Pb))\text{covered\_payoff} = \min(\text{realized\_IL},\, \text{MaxIL}), \qquad \text{MaxIL} = \max\big(IL(P_a),\, IL(P_b)\big) The cap truncates the replicating strip at the range boundaries. Everything inside the range is the convexity hedge the anchors describe; everything beyond it is directional loss (foregone spot upside), not the impermanent loss the LP set out to hedge. The cap is what makes the product fully collateralized and trustless — it is the no-bad-debt guarantee, not a defect. This is why Inflexion is an in-range convexity hedge, not “IL insurance.”

The anchors validate the approach — they are NOT the pricer

This is the load-bearing distinction on this page. State it cleanly.
The papers justify that the claim is priceable. They do not set the price. The on-chain price is computed by the exact closed-form Φ-sum — FairPremium = E_Q[min(IL, MaxIL)] — evaluated live per quote in the Stylus FairValueOracle. No coefficient in that formula is fitted to LLS or MMR; the anchors are intellectual provenance, not calibration inputs.
  • Limit: the anchors are continuous-time, asymptotic, uncapped results — they describe the family of the claim, not the discrete capped payoff Inflexion actually settles.
  • Why: Inflexion settles min⁡(realized_IL,MaxIL)\min(\text{realized\_IL}, \text{MaxIL}) in integer Q64.96 math at a single expiry, against a price the oracle reports — not a continuous-time integral of an uncapped claim.
  • Mitigation: the protocol prices the exact capped payoff directly. The capped v3 payoff is piecewise-linear/convex in the terminal price, so under risk-neutral GBM each arm integrates to a standard lognormal interval moment in the normal CDF Φ\Phi. The result is a finite Φ-sum (≈6–10 terms, Black–Scholes class), verified ≡ the reference IL implementation to max_abs_err ≈ 5.1e-11 — no Monte Carlo, no lookup table, no fitted coefficients. See the Φ-sum.
The cleanest way to hold the two roles apart:

The only residual modeling assumption

The Φ-sum is exact given the model. The single modeling assumption is risk-neutral GBM with μ=0, r=0\mu = 0,\ r = 0 (measure: risk_neutral_gbm_mu0_r0). The anchors do not remove this; nothing on-chain does. It is covered two ways:
The vol oracle publishes σref=max⁡(σshort,σlong,floor)\sigma_{ref} = \max(\sigma_{short}, \sigma_{long}, \text{floor}) with a floor of 0.50 sitting above observed calm ETH vol (~0.45), so the pool is net-conservative to depositors. A wrong/too-low σ\sigma can compress NAV but can never create LP bad debt in FULL — see σ_ref and no-bad-debt math.
The residual forward-looking-vol premium — the gap between backward-looking realized vol and implied — is deliberately left as market-maker alpha. Forward-vol MMs price off implied vol and correct the pool’s structural backward-looking bias. See Path B — MM.

What this buys the protocol

Provenance, not hand-waving

“IL is priceable” is not an Inflexion claim — it is the LLS + MMR result applied to v3. The protocol stands on published 2022/2025 results.

A real hedge target

Static replication names the offsetting option strip, which is the pool-hedge lever on the roadmap (h≈0.60 tightens the depositor tail).

An honest boundary

The anchors are uncapped & asymptotic; the pricer is exact & capped. Keeping the two roles separate is the rigor — the price is never “an approximation of a paper.”

The Φ-sum (the actual pricer)

The exact closed-form fair value the anchors point toward but do not compute.

IL formula

Where VlpV_{lp} concavity (short gamma) and VholdV_{hold} affinity come from.

MaxIL — the cap & unit of risk

Why the in-range maximum is load-bearing and where the strip is truncated.

In-range convexity hedge

The product framing the anchors validate — convexity hedge, not IL insurance.