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OpenMobius-skill equips AI agents with specialized trading frameworks to analyze OHLCV data and charts across crypto, stocks, and forex. It integrates diverse methodologies including ICT/SMC, ChanLun, Wyckoff, and Elliott Wave to provide structured technical analysis.
Quantitative traders can use the skill for chart annotation, price action evaluation, and order flow analysis. The system defaults to strict ICT/SMC logic unless a specific school or data source is requested, ensuring rigorous adherence to selected trading models.
WHO IT'S FOR
Quantitative traders
analyze OHLCV data using multi-school frameworks
Algorithmic trading developers
integrate multi-school trading knowledge into AI agents
Technical analysts
verify chart patterns against curated knowledge bases
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
An installed skill whose capability inventory can be inspected.
Make sure openmobius-skill is installed in your agent before trying this task.
Use openmobius-skill to tell me which analysis models and Schools this installation supports. Distinguish market-analysis capabilities from knowledge Q&A capabilities, and do not fetch market data.
Make sure openmobius-skill is installed in your agent before trying this task.
Use openmobius-skill to analyze the OHLCV snapshot I supply using the default strict ICT/SMC lens. Give a brief assessment grounded in the supplied data and retrieved rules. Preserve this snapshot rather than fetching live data, and state that its freshness is not independently verified.