MobiusQuant

MobiusQuant / OpenMobius-skill

Public

ICT/SMC trading-knowledge skill for AI coding agents (Claude Code / Codex / OpenClaw / Hermes)

www.mobiusquant.ai
12
1
85% credibility
Found May 21, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

OpenMobius-skill is an add-on package that brings specialized trading knowledge and real-time market data to AI coding assistants. It contains 964 curated knowledge cards covering ICT/SMC trading methodologies, connects to live market data from major exchanges, and can generate annotated charts. Once installed, users can ask their AI assistant trading questions in plain language and receive precise answers with exact price levels, pattern analysis, and technical indicators — all grounded in a verified knowledge base rather than AI guesses.

How It Works

1
💬 You ask your AI coding assistant about trading

You want to understand concepts like Fair Value Gap or Liquidity Sweeps, but your AI doesn't have specialized trading knowledge.

2
🧠 Your AI learns trading knowledge

Someone installs a special knowledge pack into your AI, giving it 964 curated cards about ICT/SMC trading methods and real market data.

3
❓ You ask a trading question

You type something like 'What is Fair Value Gap and how do I trade it?' or 'Analyze this chart for me.'

4
Your AI chooses the right approach
📚
Concept questions

Your AI searches through trading knowledge cards and explains the concept with examples from real cases.

📊
Chart analysis

Your AI fetches real market prices, finds patterns like FVG and Order Blocks, and gives you exact price levels.

📈
Indicator queries

Your AI pulls up RSI, MACD, EMA values and explains what they mean for your specific trade.

5
🎨 You get a visual chart with annotations

If you asked for a chart, your AI draws it with your entry point, stop loss, and targets marked clearly.

✅ You get precise, grounded answers

No more guessing or made-up prices. You receive answers backed by real market data and proven trading knowledge.

Sign up to see the full architecture

4 more

Sign Up Free

Star Growth

See how this repo grew from 12 to 12 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is OpenMobius-skill?

OpenMobius-skill is a Python-based knowledge package that equips AI coding agents with structured ICT and SMC trading concepts. It ships 964 pre-built concept and case cards that an agent retrieves via local vector search to answer questions like "What is Fair Value Gap" or "How to identify an Order Block" without hallucinating. Beyond Q&A, the skill fetches live OHLCV data from crypto, stock, and forex markets, extracts trading patterns (FVG, sweeps, displacement), and can render annotated charts by combining a Playwright-driven headless browser with lightweight-charts. The installer is a single Python script that handles the full setup: a virtual environment, a local embedding model (nomic-embed-text-v1.5), a ChromaDB vector index, and Playwright chromium.

Why is it gaining traction?

The hook is that it turns a generic coding agent into a domain-aware trading assistant without requiring the user to wire up API calls, manage a knowledge base, or build a chart renderer themselves. Everything is self-contained after install: the agent sees natural-language trigger phrases and routes to the right workflow (concept Q&A, chart analysis, chart annotation, or OHLCV paste). The fact that you can paste a CSV of price data and get a structured multi-section reply grounded in ICT terminology is genuinely useful for anyone who wants AI to interact with markets in a structured way rather than producing vague summaries. Supporting four agent platforms from a single codebase with a shared knowledge base is a practical engineering decision that lowers maintenance.

Who should use this?

Developers who run Claude Code, Codex, OpenClaw, or Hermes and want their agent to discuss or analyze trading setups should try this. It is most valuable for traders who think in ICT/SMC terminology and want to offload chart analysis and concept lookups to an AI agent. Users comfortable with Python 3.10+ and command-line installation will get the most out of it. Researchers building automated trading assistants will also benefit from the curated knowledge base as a hallucination-resistant grounding layer.

Verdict

OpenMobius-skill is a well-scoped, practical integration layer for AI agents that need structured trading knowledge. The credibility score of 0.8500000238418579% reflects a credible architecture (local retrieval, no external API keys for the knowledge base, clear install/uninstall paths), but the project is early-stage: 12 stars and a fresh codebase mean limited community validation, shallow test coverage, and documentation that assumes familiarity with both Python tooling and ICT trading concepts. It works as described, but adopt it knowing you are on the leading edge rather than a mature, battle-tested library.

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.