3Commas vs Zellic
Hyperliquid ecosystem comparison · Trading Bots & Automation
Best for TradersQuick Take
3Commas Cloud-based trading automation platform with Hyperliquid bot support on Multi-Layer, while Zellic Rising star blockchain security firm with deep DeFi and cryptography expertise on Multi-Layer. They serve different niches in the Hyperliquid ecosystem.
Based on public data for 3Commas and Zellic. Key differentiators: layer deployment, fee structure, liquidity depth, and community adoption. Last reviewed: Mar 2026.
3Commas
Multi-LayerCloud-based trading automation platform with Hyperliquid bot support
3commas.io
Zellic
Multi-LayerRising star blockchain security firm with deep DeFi and cryptography expertise
zellic.ioOverview
3Commas
3Commas is a leading cloud-based crypto trading automation platform supporting Hyperliquid alongside 20+ major exchanges. Its user-friendly interface lets traders configure DCA bots, Grid bots, and Options bots without writing any code, bringing algorithmic trading accessibility to retail users. On Hyperliquid, 3Commas bots can execute DCA accumulation strategies, grid-trade perpetual futures, and manage portfolio rebalancing automatically. The platform's SmartTrade terminal provides advanced order types including trailing stop-loss, take-profit chains, and conditional orders that enhance Hyperliquid's native order types. With portfolio analytics, signal marketplace, and copy-trading features, 3Commas is a comprehensive automation ecosystem for traders who want institutional-grade strategy execution on Hyperliquid without deep technical knowledge. The platform's non-custodial model using API keys ensures users retain custody of funds while enabling automation.
Visit websiteZellic
Zellic is a rapidly growing blockchain security firm that combines deep smart contract expertise with strong cryptographic and systems security knowledge, serving protocols across EVM ecosystems including HyperEVM. Founded by top competitive CTF players, Zellic's team brings an attacker's mindset to every engagement, proactively identifying vulnerabilities in complex DeFi protocols, cross-chain bridges, and financial primitives. Zellic has audited hundreds of millions in TVL across lending protocols, DEXes, and infrastructure projects—many architecturally similar to what is being built on Hyperliquid. Their reports are known for clear vulnerability disclosure with actionable remediation guidance. For HyperEVM projects seeking an audit firm with fresh perspectives and a strong track record in cutting-edge DeFi security research, Zellic provides rigorous assessment that complements the traditional audit landscape and has earned a reputation as one of the most thorough firms for complex protocol reviews.
Visit websiteFeature Comparison
| Feature | ||
|---|---|---|
| Layer | Multi-Layer | Multi-Layer |
| Category | Trading Bots & Automation | Security & Audits |
| Status | Active | Active |
| Launch Year | — | — |
| Website | 3commas.io | zellic.io |
| — | — | |
| GitHub | Not public | Not public |
| Verified | Unverified | Unverified |
| Tags | — | — |
Score Comparison
Feature Matrix
| Feature | ||
|---|---|---|
| Open Source | ✗ | ✗ |
| Verified | ✗ | ✗ |
| Has Website | ✓ | ✓ |
| Has Twitter | ✗ | ✗ |
| Has GitHub | ✗ | ✗ |
| Active Status | ✓ | ✓ |
Key Differences
Category Focus
3Commas is focused on trading bots & automation, while Zellic targets security & audits. They serve different user needs within the Hyperliquid ecosystem.
When to Use Each
Choose 3Commas if you...
- ✓Want a trading bots & automation solution on Multi-Layer
- ✓Need: Cloud-based trading automation platform with Hyperliquid bot support
Choose Zellic if you...
- ✓Want a security & audits solution on Multi-Layer
- ✓Need: Rising star blockchain security firm with deep DeFi and cryptography expertise
Ecosystem Integration
3Commas
3Commas operates on Multi-Layer (spans multiple hyperliquid layers). Spanning multiple layers lets it combine the strengths of each, though integration complexity is higher.
Zellic
Zellic 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?
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