PERP.WIKI

Katoshi vs RedStone

Hyperliquid ecosystem comparison · Trading Bots & Automation

Best for Traders
Different Focus AreasVerified: RedStone

Quick Take

Katoshi AI-powered trading automation engine built exclusively for Hyperliquid on HyperCore, while RedStone Oracle powering ~99.5% of oracle-protected value on HyperEVM on Multi-Layer. They serve different niches in the Hyperliquid ecosystem.

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

Overview

Katoshi logo

Katoshi

Katoshi is the premier trading automation engine built exclusively for Hyperliquid, enabling traders to build, deploy, and manage algorithmic strategies with millisecond precision and zero downtime. Trusted by thousands of active traders, Katoshi abstracts the complexity of algorithmic execution into an accessible platform that requires no deep coding expertise. At its core, Katoshi offers a complete automation toolkit: receive signals from TradingView, fire webhooks and custom API triggers, or deploy fully autonomous AI trading agents that react to market conditions in real-time. The platform also supports MCP (Model Context Protocol) integrations, putting cutting-edge AI-driven execution within reach of any trader. Katoshi's deep native integration with Hyperliquid means bots can tap directly into one of crypto's fastest and most liquid on-chain order books, accessing perpetuals across hundreds of markets with minimal slippage. Whether automating a simple RSI crossover strategy or running a multi-leg algorithmic portfolio, Katoshi provides reliable infrastructure to scale it. Built from the ground up for Hyperliquid's architecture, it has become the go-to automation layer for retail traders and institutional desks operating in the ecosystem.

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RedStone logo

RedStone

RedStone is a modular blockchain oracle network that has become the dominant oracle solution on Hyperliquid, operating under the HyperStone brand for the ecosystem. Oracles are critical infrastructure — they provide smart contracts with real-world price feeds, enabling DeFi lending, derivatives, and synthetic assets to function correctly. RedStone's architecture is uniquely well-suited to Hyperliquid's high-performance environment: rather than pushing price updates to the chain on every tick (a costly approach), RedStone uses a pull-based model where data is fetched on-demand and cryptographically verified on-chain, dramatically reducing costs while maintaining freshness and accuracy. Securing approximately 99.5% of oracle-protected value on Hyperliquid, HyperStone feeds power a wide range of DeFi protocols on HyperEVM — from lending markets to perpetual protocols and yield vaults. RedStone aggregates price data from dozens of sources, applying outlier filtering and cryptographic attestation to ensure data integrity. With support for hundreds of assets and sub-second update latency, HyperStone gives Hyperliquid's DeFi ecosystem enterprise-grade price feeds, enabling complex financial products to be built with confidence in the underlying data infrastructure.

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Feature Comparison

FeatureKatoshi logoKatoshiRedStone logoRedStone
LayerHyperCoreMulti-Layer
CategoryTrading Bots & AutomationOracles
StatusActiveActive
Launch Year20252022
Websitekatoshi.airedstone.finance
Twitter@KatoshiAI@redstone_defi
GitHubNot publicNot public
VerifiedUnverified✓ Verified
Tags
AIautomationtrading-agentsnon-custodial
oracleHyperStoneprice-feedsHIP-3

Score Comparison

KatoshiRedStone
Open Source
Katoshi
Not public
RedStone
Not public
Verified
Katoshi
Unverified
RedStone
Verified
Ecosystem Breadth
Katoshi
4 tags
RedStone
4 tags
Maturity
Katoshi
Since 2025
RedStone
Since 2022

Feature Matrix

FeatureKatoshi logoKatoshiRedStone logoRedStone
Open Source
Verified
Has Website
Has Twitter
Has GitHub
Active Status

Key Differences

Layer Architecture

Katoshi operates on HyperCore (native on-chain perpetual orderbook), while RedStone runs on Multi-Layer (spans multiple hyperliquid layers). This affects composability, transaction speed, and the types of integrations each protocol supports.

Category Focus

Katoshi is focused on trading bots & automation, while RedStone targets oracles. They serve different user needs within the Hyperliquid ecosystem.

Unique Features

Katoshi is distinguished by: AI, automation, trading-agents, non-custodial. RedStone stands out with: oracle, HyperStone, price-feeds, HIP-3.

Market Timing

RedStone launched first in 2022, giving it a head start. Katoshi entered later in 2025, potentially with the benefit of learning from earlier entrants.

When to Use Each

Choose Katoshi if you...

  • Want a trading bots & automation solution on HyperCore
  • Need features like AI and automation
  • Need: AI-powered trading automation engine built exclusively for Hyperliquid

Choose RedStone if you...

  • Want a oracles solution on Multi-Layer
  • Prefer a verified and vetted protocol
  • Need features like oracle and HyperStone
  • Need: Oracle powering ~99.5% of oracle-protected value on HyperEVM

Ecosystem Integration

Katoshi logo

Katoshi

Katoshi operates on HyperCore (native on-chain perpetual orderbook). Running on HyperCore gives it direct access to the native orderbook with minimal latency and maximum throughput.

RedStone logo

RedStone

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

Community Verdict

Which do you prefer?

Share your experience with Katoshi or RedStone to help others in the Hyperliquid community make better decisions.

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