Protocol Owned Liquidity KPIs

A two-metric scorecard for POL programs and for comparing asset managers: Liquidity Depth Efficiency (the utility delivered to traders) and Capital Retention Ratio (the cost borne by the protocol).

By DAMM Capital · pol · kpi · liquidity · impermanent-loss · framework

Liquidity Depth Efficiency (±1% band)

Purpose. The principal objective of protocol-owned liquidity (POL) is to let end-users execute modest trades with minimal price impact — i.e., low slippage.

Near-depth efficiency quantifies how much of the treasury's deployed capital is positioned exactly where those small trades occur, within ±1% of the current mid-price. A higher value means tighter spreads and a deeper market for everyday users.

Formal definition

LDE1%=D1%+D+1%Cdeployed\text{LDE}_{1\%} = \frac{D_{-1\%} + D_{+1\%}}{C_{\text{deployed}}}
Term Meaning
D1%D_{-1\%} Dollar liquidity from the mid-price down to −1% (buy-side depth).
D+1%D_{+1\%} Dollar liquidity from the mid-price up to +1% (sell-side depth).
CdeployedC_{\text{deployed}} Total dollar capital currently placed in all active liquidity positions.

Interpretation

  • Numerator — aggregate, immediately-usable depth that cushions user orders up to a 1% move in either direction.
  • Denominator — treasury capital at work.

The ratio therefore answers: "How many dollars of true, near-mid liquidity do we supply for every dollar we've deployed?"

A rising LDE1%\text{LDE}_{1\%} signals higher capital productivity and lower expected slippage for retail-sized trades.

Measurement protocol

  1. Snapshot cadence — Record pool state (ticks, liquidity, prices) at a fixed interval — e.g. every day.
  2. Depth calculation — For each snapshot: determine PmidP_{\text{mid}}; sum the notional liquidity between PmidP_{\text{mid}} and PmidP_{\text{mid}} (±1%) to obtain D1%D_{-1\%} and D+1%D_{+1\%}; capture CdeployedC_{\text{deployed}}; compute LDE1%\text{LDE}_{1\%}.
  3. Smoothing — Publish a rolling mean (or median) over the most recent 30 days to neutralize intraday noise yet remain reactive to structural shifts.

This methodology delivers a clear, statistically robust indicator of how effectively POL capital serves its core mandate: providing deep, low-slippage execution for end-users.

Capital Retention Ratio (CRR)

This indicator describes how well protocol-owned liquidity capital retains value relative to a passive "hold-both-assets" position established at the moment of initial deployment.

Formal definition

CRR=VPOLVHODL\text{CRR} = \frac{V_{\text{POL}}}{V_{\text{HODL}}}

with

VPOL=VUniV3active LP positions+VLendingnet lending-market balances+VLiquididle token holdingsV_{\text{POL}} = \underbrace{V_{\text{UniV3}}}_{\text{active LP positions}} + \underbrace{V_{\text{Lending}}}_{\text{net lending-market balances}} + \underbrace{V_{\text{Liquid}}}_{\text{idle token holdings}}
Term Description
VPOLV_{\text{POL}} Mark-to-market dollar value of all capital currently deployed by the protocol (LP NFTs + lending positions + liquid tokens).
VHODLV_{\text{HODL}} Dollar value that would exist today if the original token quantities — fixed at the time of initial deployment — had simply been held outside liquidity provision.

Interpretation

  • CRR = 1.00 — POL capital matches the passive hold; impermanent loss is zero.
  • CRR < 1.00 — Capital has under-performed the passive hold; the gap is economic drag from impermanent loss.
  • Values trending closer to 1.00 confirm that inventory management, range selection, and rebalance cadence are effectively containing drift.

Measurement protocol

  1. Snapshot cadence — Capture pool reserves, lending balances, liquid token amounts, and current market prices at a predetermined daily interval.
  2. POL valuation — Convert every component to USD (or chosen base unit) to calculate VPOLV_{\text{POL}}.
  3. Passive-hold baseline — Multiply the original token quantities (recorded at initial deployment) by the same current prices to compute VHODLV_{\text{HODL}}. This baseline remains constant in quantity across all measurement windows, ensuring a consistent comparative.
  4. Publishing — Compute CRR for every snapshot. Report a 30-day rolling median to mute short-lived market noise while still flagging persistent drift.

CRR provides an unambiguous gauge of capital preservation. Maintaining CRR near unity demonstrates that the POL engine is minimizing impermanent loss and safeguarding capital against adverse price movements.

Conclusion

The two metrics selected — Liquidity Depth Efficiency (LDE1%\text{LDE}_{1\%}) and Capital Retention Ratio (CRR) — provide a concise, complementary view of a protocol-owned liquidity program:

Dimension KPI What it answers Management value
Upside (user benefit) LDE1%\text{LDE}_{1\%} "How much low-slippage depth do end-users receive for every dollar we deploy?" Quantifies the pool's effectiveness as a market-making resource, directly tied to trading experience and on-chain volume.
Downside (treasury cost) CRR "How costly to the protocol (through capital dilution) is the service provided to the end-users?" Isolates the economic drag of impermanent loss, signalling when range width, inventory controls, or rebalance cadence need adjustment.

Together, LDE1%\text{LDE}_{1\%} and CRR form a balanced scorecard:

  • LDE1%\text{LDE}_{1\%} tracks the utility delivered to traders.
  • CRR tracks the cost borne by the protocol.

Monitoring both KPIs side-by-side allows stakeholders to weigh the market-depth upside against the capital-preservation downside, enabling data-driven decisions on parameter tuning, deployment size, and overall strategy viability.