OpenMobius-skill

Ground trading questions in ICT/SMC concepts, case cards, and real-time OHLCV data.

547|50|Updated May 19, 2026
One-click install
npx skills add https://github.com/MobiusQuant/OpenMobius-skill --skill openmobius-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: OpenMobius-skill
Source: https://github.com/MobiusQuant/OpenMobius-skill/tree/main
Command: npx skills add https://github.com/MobiusQuant/OpenMobius-skill --skill openmobius-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires chromadb, Pillow, and includes scripts (resource) components.

What problem does it solve?

AI coding agents hallucinate price levels and lack structured trading knowledge when answering market questions. This Skill grounds every response in a curated knowledge base of 726 ICT/SMC concepts and 1282 case cards, combined with real-time OHLCV data from the Mobius Quant API, eliminating guesswork and ensuring cited, precise analysis.

Core Features & Use Cases

  • Concept Q&A: Retrieve rule-based identification criteria for ICT/SMC/ChanLun patterns like Fair Value Gap, Order Block, and Change of Character.
  • Chart Analysis: Attach a trading chart image to auto-fetch live data, extract structural signals (BOS/CHoCH, FVGs, OBs), and receive a 5-section reply with exact prices and an annotated PNG.
  • K-Line Analysis: Ask about an asset by name or paste OHLCV data to get a fresh structural read with a generated TradingView-grade chart.
  • Chart Annotation: Draw entry, stop-loss, and target levels directly onto user-uploaded chart images.

Quick Start

Use the OpenMobius-skill to ask "What is Fair Value Gap" or attach a BTCUSDT chart and say "analyze this" to receive a knowledge-based answer with precise levels and an annotated chart image.

Frequently Asked Questions about OpenMobius-skill

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

FAQPage Schema
What is ICT and SMC chart analysis?

ICT and SMC chart analysis identifies structural market signals like Fair Value Gaps, Order Blocks, and Changes of Character using real-time OHLCV data to pinpoint exact entry and stop-loss levels.

How do I analyze K-line structure for crypto and forex markets?

To analyze K-line structure, you can query an asset by name or paste OHLCV data. The system fetches real-time market data via the Mobius Quant API and generates a TradingView-grade structural chart.

How do I generate annotated trading charts with entry and target levels?

Upload a trading chart image and request an analysis. The system auto-fetches live data, extracts SMC structural signals, and returns an annotated PNG with exact entry, stop-loss, and target levels.

Do I need a local ChromaDB vector index for SMC concept Q&A?

Yes, grounding SMC concept Q&A requires a local ChromaDB vector index. This environment stores 726 ICT/SMC concepts and 1282 case cards to eliminate AI hallucination and ensure cited answers.

Does this SMC trading analysis support A-shares and Hong Kong stocks?

Yes, the SMC trading analysis applies to A-shares, Hong Kong stocks, US equities, crypto, and forex, delivering structural K-line reads and rule-based pattern identification across these asset classes.

What are the limitations of using AI for technical indicator chart analysis?

AI technical indicator analysis requires Python 3.10+, a local ChromaDB setup, and the Mobius Quant API. Without these dependencies, the system cannot fetch real-time OHLCV data or ground its structural market analysis.