detect-shanghai-silver-stock-drain
CommunityTurn Shanghai silver stock into drain signals.
System Documentation
What problem does it solve?
This Skill quantifies the decline of Shanghai silver stock from public exchange inventories and converts it into actionable supply signals, reducing guesswork about market tightness.
Core Features & Use Cases
- Three-dimensional analysis: direction, velocity, and acceleration to detect late-stage supply signals.
- Z-score standardization and cross-checks with market indicators (e.g., COMEX, ETFs) to validate signals.
- Outputs include a structured signal level, historical stock levels, and narrative interpretation for decision support.
Quick Start
Fast start: run python scripts/drain_detector.py --quick to get an immediate signal. Full analysis: run python drain_detector.py --start 2020-01-01 --end 2026-01-16 --output result.json Data sources: ensure SGE and SHFE data are available in data/ (or fetched via scripts/fetch_shfe_stock.py and scripts/fetch_sge_stock.py)
Dependency Matrix
Required Modules
Components
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: detect-shanghai-silver-stock-drain Download link: https://github.com/fatfingererr/macro-skills/archive/main.zip#detect-shanghai-silver-stock-drain Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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