EVClaw provides an end-to-end live-agent trading framework that lets an OpenClaw agent build cycle contexts, validate proposed trade candidates, and execute orders on Lighter (crypto perps) and Hyperliquid (HIP3 stocks). It supports automated cycle processing, manual trade execution, signal inspection, position management, dynamic risk sizing, and incident triage for agent-driven trading workflows.
Use EVClaw when you need an agent to: run periodic trading cycles and record candidate proposals, execute manual or reviewed trade plans, view actionable signals and positions, or manage trading configuration and risk limits across supported venues. Ideal for teams experimenting with agent-driven execution or building strategy-as-code around cycle files.
cli.py, executor.py, main.py, trading_brain.py).skill.yaml.Best with OpenClaw agent runtimes that support Python-based skills and CLI invocation; integrates with agent workflows that can call live_agent.py and cli.py for execution and analysis.
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