A sophisticated financial analysis tool for Openclaw Skills that visualizes stock holding costs and market positions using the CYQ distribution model.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install chip-distribution
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install chip-distribution using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Chip Distribution Analysis skill is a specialized tool designed for Openclaw Skills to provide deep insights into stock market mechanics. By leveraging East Money's CYQ (Chip Distribution) indicators, it transforms raw trading data into a visual representation of holding costs. This enables traders to identify where major players are accumulating or distributing shares, offering a clear view of market sentiment beyond simple price action.
This skill is essential for identifying supply and demand zones, calculating profit ratios, and determining the strength of price trends. Whether you are looking for low-level consolidation or high-level distribution patterns, this skill integrates seamlessly into your Openclaw Skills workflow to provide actionable financial intelligence.
To activate this skill within your Openclaw Skills environment, ensure your data provider supports CYQ metrics. Use the following commands to initialize the analysis module:
# Install the chip distribution analysis extension
openclaw install skill-chip-distribution
# Configure financial data source (e.g., East Money API)
openclaw config set finance_provider "eastmoney"
The skill organizes market intelligence into a structured taxonomy for Openclaw Skills, focusing on cost and volume relationship:
| Attribute | Description | Typical Value/Range |
|---|---|---|
| CYQKKD | Concentration Degree | >70% (High), <50% (Low) |
| CYS | Profit/Loss Ratio | >30% (Overheated), <-30% (Oversold) |
| Peak Type | Structural cost shape | Single Peak, Double Peak, Dispersed |
| Support/Resistance | Price boundaries | Lower/Upper edges of dense clusters |
| Market Phase | Current cycle state | Accumulation, Wash, Distribution |
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