PERP.WIKI

Gamma Strategies vs Passivbot

Hyperliquid ecosystem comparison · Yield & Vaults

Best for Yield
Different Focus Areas

Quick Take

Gamma Strategies Active concentrated liquidity management for HyperEVM AMMs 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 Gamma Strategies and Passivbot. Key differentiators: layer deployment, fee structure, liquidity depth, and community adoption. Last reviewed: Mar 2026.

Overview

Gamma Strategies

Gamma Strategies is an active liquidity management protocol for concentrated liquidity AMMs, automating the complex position management required by Uniswap v3-style pools. By continuously rebalancing LP positions within optimal price ranges, Gamma maximizes fee revenue while minimizing impermanent loss compared to passive LPing. On HyperEVM, where new AMMs with concentrated liquidity mechanics are launching, Gamma provides vault-based LP management that removes the technical burden from retail liquidity providers. Users simply deposit token pairs into Gamma vaults and receive automatically managed LP positions. With support for both symmetric and asymmetric liquidity strategies, Gamma is the go-to solution for sophisticated LP management on HyperEVM DEXes. Its passive income model makes DeFi liquidity provision accessible to users who want exposure to trading fee yields without the constant active management that concentrated liquidity pools require.

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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

FeatureGamma StrategiesPassivbot
LayerMulti-LayerMulti-Layer
CategoryYield & VaultsTrading Bots & Automation
StatusActiveActive
Launch Year
Websitegamma.xyzgithub.com
Twitter
GitHubNot publicNot public
VerifiedUnverifiedUnverified
Tags

Score Comparison

Gamma StrategiesPassivbot
Open Source
Gamma Strategies
Not public
Passivbot
Not public
Verified
Gamma Strategies
Unverified
Passivbot
Unverified
Ecosystem Breadth
Gamma Strategies
0 tags
Passivbot
0 tags
Maturity
Gamma Strategies
Unknown
Passivbot
Unknown

Feature Matrix

FeatureGamma StrategiesPassivbot
Open Source
Verified
Has Website
Has Twitter
Has GitHub
Active Status

Key Differences

Category Focus

Gamma Strategies is focused on yield & vaults, while Passivbot targets trading bots & automation. They serve different user needs within the Hyperliquid ecosystem.

When to Use Each

Choose Gamma Strategies if you...

  • Want a yield & vaults solution on Multi-Layer
  • Need: Active concentrated liquidity management for HyperEVM AMMs

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

Gamma Strategies

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

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