Identify crowded crypto trades and generate contrarian theses from sentiment extremes.
npx skills add https://github.com/cubexch/ai-fund --skill gcr
Please help me install this Agent Skill. Skill: gcr Source: https://github.com/cubexch/ai-fund/tree/main/skills/gcr Command: npx skills add https://github.com/cubexch/ai-fund --skill gcr
GCR helps users identify and act on contrarian trading ideas in crypto by analyzing crowding and sentiment to generate actionable theses.
Provide a contrarian thesis based on current crowding signals and outline a risk-managed entry plan.
High-intent search queries and answers about installing and using this skill.
To identify crowded crypto trades, you analyze funding rates, open interest, and long/short balances to detect extreme market positioning. This Skill reads these crowding indicators to find sentiment extremes and generate actionable contrarian theses.
Generating a contrarian trading thesis requires assessing crowding signals and sentiment extremes in crypto markets. This Skill processes market data to suggest a thesis, timing, and a structured entry plan complete with risk controls.
Yes, crypto sentiment analysis can build a risk-managed entry plan by evaluating extreme positioning. This Skill outputs a structured trading plan with specific risk controls based on current crowding indicators.
Yes, this approach works across multiple crypto venues to assess extreme positioning. It evaluates market data and CT discourse to find crowded trades and applies contrarian logic to generate structured risk-managed plans.
The best way to apply contrarian strategies to extreme funding rates is to identify crowding and formulate an opposing thesis. This Skill reads funding rates and open interest to output a structured plan with timing and risk controls.
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