evclaw

Solid

Trading skill for executing live agent trades on Lighter (crypto perps) and Hyperliquid (HIP3 stocks). Use when user asks about trading, positions, signals, executing trades, live agent mode, cycle files, or managing EVClaw operations. Supports (1) Running live agent cycles via /live-agent, (2) Executing manual trades via /trade and /execute, (3) Viewing signals/positions, (4) Managing trading configuration, (5) Understanding signal types and decision logic, (6) Agent-driven incident response and triage.

Data & Documents 37 stars 12 forks Updated 3 weeks ago MIT

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Quality Score: 78/100

Stars 20%
53
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# EVClaw Trading Skill **Mode**: Live Agent (context → main agent → execute) **Exchanges**: Lighter (crypto perps), Hyperliquid (HIP3 stocks) ## Architecture ``` Cycle Trigger → Cycle File + Context → System Event → Main Agent (gpt-5.2) ↓ ↓ ↓ ↓ tracker:8443 <runtime_dir>/evclaw_* live_agent.py JSON context selection ↓ <runtime_dir>/evclaw_candidates_*.json ↓ Main Agent validate + record proposals ↓ OpenClaw agent executes proposals ↓ Executor → HL and/or Lighter ``` **See [references/architecture.md](references/architecture.md) for detailed system architecture.** ## Key Features - Live agent trading (context → main agent → execute) - Snapshot-driven cycle handling + context builder - Per-venue execution (no requirement that a symbol exists on both exchanges) - Dynamic sizing + exposure limits via DynamicRiskManager - Decay-based exits as primary exit logic - Optional SL/TP emergency backstop (config flag) - Token bucket rate limiting (40 req/60s) - Atomic position persistence for crash recovery - Agent-driven incident response (triage + remed...

Details

Author
Degenapetrader
Repository
Degenapetrader/EVClaw
Created
3 months ago
Last Updated
3 weeks ago
Language
Python
License
MIT

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