Agent skill

trading-signals

Technical analysis patterns - Elliott Wave, Wyckoff, Fibonacci, Markov Regime, and Turtle Trading with confluence detection. Use when analyzing charts, identifying trading signals, or calculating technical levels.

majiayu000534★ · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill trading-signals-skill-scientiacapital-skills-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/analysis/trading-signals-skill-scientiacapital-skills-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

<objective> Provide standardized technical analysis patterns for trading projects, combining Elliott Wave, Wyckoff, Fibonacci, Markov Regime, and Turtle Trading methodologies. Enables confluence detection through regime-weighted methodology fusion and cost-effective multi-LLM consensus. </objective> <quick_start> **Confluence analysis (methodologies agree = high-probability setup):** ```python score = sum(signal.strength * weights[signal.method] for signal in signals) action = 'BUY' if score >= 0.7 else 'WAIT' ``` **Score interpretation:** - 0.7-1.0: High conviction entry - 0.4-0.7: Wait for more confluence - 0.0-0.4: No trade **Cost-effective routing:** DeepSeek-V3 for pattern detection → Claude Sonnet for critical decisions </quick_start> <success_criteria> Analysis is successful when: - Multiple methodologies provide signals (not just one) - Regime identified (trending/ranging/volatile) before analysis - Confluence score calculated with regime-weighted methodology fusion - Cost-optimized: bulk processing on DeepSeek, critical decisions on Claude - Clear action (BUY/SELL/WAIT) with supporting rationale - NO OPENAI used in model routing </success_criteria> <core_patterns> Standard

What's inside
Steps it walks through
  1. Quick Reference
  2. Confluence Detection
  3. File Structure
  4. Cost-Effective Model Routing
  5. Integration Notes
  6. Reference Files
Ships with 1 file
  • metadata.json
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About this skill
What does the trading-signals skill do?

Technical analysis patterns - Elliott Wave, Wyckoff, Fibonacci, Markov Regime, and Turtle Trading with confluence detection. Use when analyzing charts, identifying trading signals, or calculating technical levels.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill trading-signals-skill-scientiacapital-skills-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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