What is required to run the data collection scripts?

The scripts require Python with Pandas, Selenium, and a compatible webdriver-manager to navigate exchange websites and extract data from SVG charts.

How does the Z-score standardization work?

It calculates the current drain rate and acceleration against a historical mean and standard deviation (typically a 3-5 year window) to determine if current outflows are statistically significant.

What does a 'HIGH_LATE_STAGE_SUPPLY_SIGNAL' indicate?

This signal triggers when inventory levels are in the bottom 20th percentile historically, the outflow speed is significantly high (Z-score ≤ -1.5), and the depletion is accelerating (Z-score ≥ +1.0).

What data sources does this skill monitor?

The skill tracks public warehouse data from the Shanghai Gold Exchange (SGE) and the Shanghai Futures Exchange (SHFE), specifically focusing on silver deliverable stocks.

Shanghai Silver Stock Drain Detector

Name: Shanghai Silver Stock Drain Detector
Author: fatfingererr

byfatfingererr

데이터 과학 및 ML

Quantifies Shanghai silver inventory depletion using 3D metrics to identify supply tightening signals for macro analysis.

소개

The Shanghai Silver Stock Drain Detector is a specialized tool designed to monitor and analyze physical silver inventory levels across the Shanghai Gold Exchange (SGE) and Shanghai Futures Exchange (SHFE). By calculating the direction, speed, and acceleration of inventory outflows and applying historical Z-score standardization, the skill transforms raw warehouse data into actionable market signals. It is ideal for commodity traders and macro analysts who need to identify late-stage supply constraints through a quantitative framework rather than anecdotal evidence.

주요 기능

Multi-tier supply signal generation (High, Medium, Watch) based on depletion velocity
Three-dimensional quantification of inventory direction, speed, and acceleration
Visualized trend reporting and cross-validation with global benchmarks like COMEX
Automated scraping of SGE and SHFE weekly inventory reports via Selenium
Z-score standardization using 3-5 years of historical data windows
0 GitHub stars

사용 사례

Automating weekly reporting of Chinese precious metals warehouse stocks
Quantifying the rate of inventory depletion to forecast potential delivery squeezes
Detecting physical silver supply shortages in the Asian market for arbitrage or macro positioning

소개

주요 기능

Multi-tier supply signal generation (High, Medium, Watch) based on depletion velocity
Three-dimensional quantification of inventory direction, speed, and acceleration
Visualized trend reporting and cross-validation with global benchmarks like COMEX
Automated scraping of SGE and SHFE weekly inventory reports via Selenium
Z-score standardization using 3-5 years of historical data windows
0 GitHub stars

사용 사례

Automating weekly reporting of Chinese precious metals warehouse stocks
Quantifying the rate of inventory depletion to forecast potential delivery squeezes
Detecting physical silver supply shortages in the Asian market for arbitrage or macro positioning