Chip Distribution Analysis for Openclaw

A sophisticated financial analysis tool for Openclaw Skills that visualizes stock holding costs and market positions using the CYQ distribution model.

danpian1
v1.0.0
Apr 17, 2026
0
869
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install chip-distribution

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Chip Distribution Analysis?

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.

Chip Distribution Analysis Use Cases

  • Identifying main force (主力) accumulation zones and distribution peaks.
  • Determining precise support and resistance levels based on historical cost density.
  • Analyzing the percentage of profitable vs. trapped positions to predict potential pullbacks or breakouts.
  • Detecting trend reversals through single-peak or multi-peak chip shifts.
  • Evaluating market control strength using chip concentration metrics (CYQKKD).

How Chip Distribution Analysis Works

  1. The skill monitors for specific triggers such as chip concentration, cost density, or trapped positions within Openclaw Skills.
  2. It retrieves CYQ data to map out the distribution of share prices across the entire holder base.
  3. The system identifies key patterns like Low-Level Single Peak (主力 accumulation) or High-Level Dense Clusters (potential selling pressure).
  4. It calculates the Profit Ratio (CYS) and Concentration Degree (CYQKKD) to quantify market risk.
  5. The skill outputs a tactical analysis, providing specific signals like 'Buy' on low-level clusters or 'Clear Position' on high-level distribution.

Chip Distribution Analysis Setup

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"

Chip Distribution Analysis Data Schema & Taxonomy

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

Chip Distribution Analysis Advanced Features

  • Automated detection of 'Double Peak Canyons' indicating main force wash-out phases.
  • Real-time calculation of support/resistance shifts as chips move lower or higher.
  • Multi-agent support for cross-referencing chip distribution with volume-price trends.
  • Customizable alerts for chip convergence (Cost Convergence) followed by trend breakouts.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*