PERP.WIKI

Gauntlet vs Passivbot

Hyperliquid ecosystem comparison · Analytics & Data

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Different Focus Areas

Quick Take

Gauntlet Financial risk modeling and protocol optimization for DeFi protocols on HyperEVM 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 Gauntlet and Passivbot. Key differentiators: layer deployment, fee structure, liquidity depth, and community adoption. Last reviewed: Mar 2026.

Overview

Gauntlet

Gauntlet is a financial risk management and protocol optimization platform that uses agent-based market simulations to stress-test DeFi protocols and optimize their economic parameters. As protocols in the Hyperliquid ecosystem scale their TVL in lending markets and liquidity vaults, Gauntlet's simulation engine models adversarial behaviors, market crashes, and oracle manipulation scenarios to identify parameter configurations that maximize capital efficiency while minimizing insolvency risk. Gauntlet provides ongoing risk management services—continuously updating protocol parameters like liquidation bonuses, borrow caps, and collateral ratios in response to changing market conditions. With a track record managing billions in risk across Aave, Compound, and other top DeFi protocols, Gauntlet brings institutional-grade risk science to the growing Hyperliquid DeFi ecosystem. Protocols that engage Gauntlet signal commitment to sustainable, risk-managed growth rather than aggressive TVL maximization at the expense of security.

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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

FeatureGauntletPassivbot
LayerMulti-LayerMulti-Layer
CategoryAnalytics & DataTrading Bots & Automation
StatusActiveActive
Launch Year
Websitegauntlet.xyzgithub.com
Twitter
GitHubNot publicNot public
VerifiedUnverifiedUnverified
Tags

Score Comparison

GauntletPassivbot
Open Source
Gauntlet
Not public
Passivbot
Not public
Verified
Gauntlet
Unverified
Passivbot
Unverified
Ecosystem Breadth
Gauntlet
0 tags
Passivbot
0 tags
Maturity
Gauntlet
Unknown
Passivbot
Unknown

Feature Matrix

FeatureGauntletPassivbot
Open Source
Verified
Has Website
Has Twitter
Has GitHub
Active Status

Key Differences

Category Focus

Gauntlet 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 Gauntlet if you...

  • Want a analytics & data solution on Multi-Layer
  • Need: Financial risk modeling and protocol optimization for DeFi protocols on HyperEVM

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

Gauntlet

Gauntlet 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 Gauntlet or Passivbot to help others in the Hyperliquid community make better decisions.

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