PERP.WIKI

Chaos Labs vs Passivbot

Hyperliquid ecosystem comparison · Analytics & Data

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Different Focus Areas

Quick Take

Chaos Labs DeFi risk analytics and parameter optimization for Hyperliquid ecosystem protocols on Multi-Layer, while Passivbot Open-source grid trading bot with native Hyperliquid perpetuals support on Multi-Layer. They serve different niches in the Hyperliquid ecosystem.

Based on public data for Chaos Labs and Passivbot. Key differentiators: layer deployment, fee structure, liquidity depth, and community adoption. Last reviewed: Mar 2026.

Overview

Chaos Labs logo

Chaos Labs

Chaos Labs is a DeFi risk analytics and parameter optimization platform that uses agent-based simulations and quantitative modeling to help protocols manage risk and optimize capital efficiency. Working with major lending protocols, DEXes, and perpetuals markets including projects built on Hyperliquid, Chaos Labs provides data-driven recommendations for collateral factors, liquidation thresholds, and interest rate curves. Its economic security monitoring continuously stress-tests protocol parameters against simulated market scenarios including flash crashes and liquidity crises, alerting teams to potential vulnerabilities before they become exploits. For Hyperliquid ecosystem protocols handling significant TVL, Chaos Labs provides the rigorous quantitative framework necessary to safely scale while maintaining robust risk management. The platform's real-time dashboards give protocol teams and governance participants clear visibility into current risk exposure across all market conditions.

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Passivbot

Passivbot is a popular open-source cryptocurrency trading bot with native Hyperliquid support, implementing recursive grid-trading and DCA (dollar-cost averaging) strategies for perpetual futures markets. Written in Python with a strong community following, Passivbot allows traders to run fully automated grid strategies on Hyperliquid's perp markets without relying on centralized exchange APIs. The bot continuously places limit orders in a dynamic grid around the current price, capturing bid-ask spreads and mean-reversion moves. Passivbot includes an advanced backtesting engine and optimization framework that uses evolutionary algorithms to tune strategy parameters across historical data. With active maintenance, extensive documentation, and a dedicated Discord community, Passivbot has become one of the most trusted open-source tools for automated Hyperliquid trading. Its transparent, auditable codebase makes it particularly appealing to traders who are wary of closed-source bot solutions.

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Feature Comparison

FeatureChaos Labs logoChaos LabsPassivbot
LayerMulti-LayerMulti-Layer
CategoryAnalytics & DataTrading Bots & Automation
StatusActiveActive
Launch Year
Websitechaoslabs.xyzgithub.com
Twitter
GitHubNot publicNot public
VerifiedUnverifiedUnverified
Tags

Score Comparison

Chaos LabsPassivbot
Open Source
Chaos Labs
Not public
Passivbot
Not public
Verified
Chaos Labs
Unverified
Passivbot
Unverified
Ecosystem Breadth
Chaos Labs
0 tags
Passivbot
0 tags
Maturity
Chaos Labs
Unknown
Passivbot
Unknown

Feature Matrix

FeatureChaos Labs logoChaos LabsPassivbot
Open Source
Verified
Has Website
Has Twitter
Has GitHub
Active Status

Key Differences

Category Focus

Chaos Labs is focused on analytics & data, while Passivbot targets trading bots & automation. They serve different user needs within the Hyperliquid ecosystem.

When to Use Each

Choose Chaos Labs if you...

  • Want a analytics & data solution on Multi-Layer
  • Need: DeFi risk analytics and parameter optimization for Hyperliquid ecosystem protocols

Choose Passivbot if you...

  • Want a trading bots & automation solution on Multi-Layer
  • Need: Open-source grid trading bot with native Hyperliquid perpetuals support

Ecosystem Integration

Chaos Labs logo

Chaos Labs

Chaos Labs operates on Multi-Layer (spans multiple hyperliquid layers). Spanning multiple layers lets it combine the strengths of each, though integration complexity is higher.

Passivbot

Passivbot operates on Multi-Layer (spans multiple hyperliquid layers). Spanning multiple layers lets it combine the strengths of each, though integration complexity is higher.

Both protocols share the same layer, maximizing composability potential.

Community Verdict

Which do you prefer?

Share your experience with Chaos Labs or Passivbot to help others in the Hyperliquid community make better decisions.

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