Slide 01
Data observability and automation for passive LPs
Squid turns passive LPing from a blind yield bet into a data-driven, monitorable, and eventually automated strategy.
Passive LP state
With Squid
Slide 02
Passive LPs are allocating capital with trader-grade risk and retail-grade visibility
Core LP questions around fees, IL, pool health, exits, and rebalancing are still answered by guesswork.
Slide 03
LP performance depends on entry and exit timing
You cannot optimize what you cannot track. Passive LPs need signals before they can make timing decisions confidently.
Decision 01
When to enter
Decision 02
When to exit
Observation
Timing dominates LP performance, but the timing inputs are still under-instrumented.
Slide 04
The missing product is built for LPs who want trust, not trading complexity
Active LPs already have tools and custom systems. Passive LPs want simple, reliable visibility and sticky long-term participation.
Slide 05
Current tools stop short of passive-LP observability
Interfaces, indexers, and pro LP tooling all leave a gap between raw data and actionable signals for normal LPs.
Great for basic LPing, limited analytics
Powerful but designed for sophisticated users
Not accessible to everyday LPs
Miss granular lifecycle context that hooks can capture
Slide 06
The pain keeps appearing in real conversations
The need for better IL, yield, and pool-health visibility showed up repeatedly across builders and prospective LPs.
Personal experience
Researching IL and yield patterns for passive LPs surfaced very little useful data.
Alex
LPs are hard to convince without showing IL, the upside of solving it, and the concrete user benefit.
Tom + friends
Passive LPs want a dashboard that explains what is happening to their assets.
Silvio
Active LPs have custom-built systems, but passive LPs do not have equivalent tooling.
Slide 07
Squid is a Uniswap v4 hook-powered observability layer
A hook data layer, a dashboard, and a simulator form the foundation for better passive LP decisions.
Hook data layer
Collect granular lifecycle metrics from pools and LP positions at the source.
Dashboard
Turn raw pool and position activity into simple signals for passive LPs.
Simulator
Help developers and analysts test liquidity flows, order flows, and LP behavior.
Slide 08
Hook data becomes signals, decisions, and eventually automation
Squid sits in the liquidity lifecycle, then turns pool and position events into metrics, interfaces, and actions.
Core flow
Cross-chain vision
Slide 09
The product surface makes LP health visible
Pool health, position health, LP behavior, risk signals, and yield signals become legible enough to act on.
Pool health
Position health
More relevant metrics will be added in future as Squid expands the observability layer and sharpens LP-facing signals.
Slide 10
Reduce complexity without hiding risk
The goal is not to abstract away reality. It is to collapse complexity into a smaller, clearer decision surface.
Current LP experience
Squid experience
Slide 11
Three pieces of infrastructure make Squid viable
Uniswap v4 hooks, Unichain economics, and Reactive Network create the technical base for observability and action.
Uniswap v4 hooks
Collect purpose-built pool and position metrics where important LP behavior actually happens.
Unichain
Low-cost DEX-native execution and storage make denser observability practical.
Reactive Network
Watch conditions across chains and trigger alerts or actions around liquidity management.
Slide 12
Start with passive LPs, serve a wider liquidity ecosystem
The data layer can support analysts, developers, aggregators, and protocols in addition to individual LPs.
Slide 13
Observability first, then intelligence, automation, and cross-chain management
The prototype explores metric breadth today, while the production path narrows toward efficient signals and action triggers.
Phase 1
Observability
Track pool, LP, and position metrics through hooks.
Phase 2
Intelligence
Convert raw metrics into pool health, position health, IL risk, and yield quality signals.
Phase 3
Automation
Trigger alerts and actions based on LP-defined preferences.
Phase 4
Cross-chain liquidity management
Use Reactive Network to monitor and act across chains.
Slide 14
Passive liquidity should feel measurable, not mysterious
Reach out if you want to help make passive LPing more measurable, more legible, and easier to trust.
Website
saumay.xyz
X
@saumay_agrawal