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AI Market Maker Skill

Automate setup, execution, and inspection of LangGraph crypto trading workflows in OpenClaw.

2.2k|322|Updated May 22, 2025
Search Tags:#risk management#langgraph#telemetry#backtesting#trading#openclaw#paper trading
One-click install
npx skills add https://github.com/olaxbt/ai-market-maker --skill ai-market-maker-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: AI Market Maker Skill
Source: https://github.com/olaxbt/ai-market-maker/tree/main/openclaw
Command: npx skills add https://github.com/olaxbt/ai-market-maker --skill ai-market-maker-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and assets (resource) components.

What problem does it solve?

It streamlines running, verifying, and extending a hedge-fund-style multi-agent trading workflow with reliable risk gating, so you can iterate safely on research-to-execution pipelines without wiring everything manually.

Core Features & Use Cases

  • OpenClaw-ready execution tooling: provides an installation verifier and an OpenClaw runner to execute paper trading and backtesting from the same skill entry point.
  • Hard Risk Guard veto and traceability: ensures execution is blocked when risk constraints fail and supports structured tracing for transparency in OpenClaw/Nexus-style UIs.
  • Operational Flow API for runs and portfolio health: exposes HTTP endpoints to fetch latest run metadata, payloads, events/traces, portfolio health, and backtest run listings for inspection and monitoring.

Example use case: you run a paper trading session for BTC/USDT, then query the Flow API to inspect the latest run’s payload and events to understand why the Risk Guard accepted or vetoed proposed trades.

Quick Start

Ask an AI agent to install and run the OpenClaw skill by executing the command: claw skill install ./openclaw.

Frequently Asked Questions about AI Market Maker Skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run and inspect a LangGraph crypto trading workflow for paper trading?▼

You can run and inspect a LangGraph crypto trading workflow by using an OpenClaw runner to execute paper trading from a single skill entry point, then querying the Flow API to fetch payload and event traces for post-run analysis.

How does risk management work in an agentic trading workflow?▼

Risk management in an agentic trading workflow uses a hard Risk Guard veto pipeline that blocks execution when risk constraints fail, ensuring safe iteration on research-to-execution pipelines and providing structured traceability for transparency.

Can I use OpenClaw to backtest crypto trading strategies?▼

Yes, you can use OpenClaw to backtest crypto trading strategies by executing the backtesting task flow from the same skill entry point used for paper trading, then retrieving backtest run listings via the operational Flow API.

Do I need an API key to query portfolio health from a trading workflow?▼

Querying portfolio health from the trading workflow requires an operational Flow API contract that supports optional x-api-key authorization, allowing you to fetch portfolio health data alongside latest run metadata and event traces.

Why does my agentic trading workflow block proposed trades?▼

Your agentic trading workflow blocks proposed trades because the Risk Guard veto pipeline enforces risk constraints, and you can inspect the latest run's events via the Flow API to understand exactly why a trade was accepted or vetoed.

What's the best way to verify dependencies before running an agentic crypto trading workflow?▼

The best way to verify dependencies before running an agentic crypto trading workflow is to use the provided installation verifier, which checks the OpenClaw skill root entrypoint and environment setup to ensure reliable execution.

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