Market Sector Heatmap Analysis for Openclaw

A professional financial analysis skill for Openclaw Skills that leverages the Daxiapi API to track A-Share sector rotation and identify high-momentum industries.

ksky521
v1.0.2
Apr 12, 2026
0
770
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install xiapi-heatmap-analysis

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 xiapi-heatmap-analysis 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 Market Sector Heatmap Analysis?

The Market Sector Heatmap Analysis skill is a technical analytical tool designed for AI agents within the Openclaw Skills ecosystem. It specializes in processing A-Share market data, specifically focusing on industry sectors and concept blocks. By utilizing the proprietary CS Indicator (EMA20 Bias Rate), the skill identifies leading, rising, and reversing industries, allowing users to capture sector rotation opportunities with high precision.

This skill goes beyond simple price tracking by providing a multi-dimensional view of market strength. It analyzes 5-day historical sequences, heat diffusion trends, and individual stock breakthroughs within sectors to distinguish between true market trends and isolated stock movements. It is an essential asset for developers and traders building automated financial research workflows.

Market Sector Heatmap Analysis Use Cases

  • Identifying leading market sectors and hot investment concepts in real-time.
  • Analyzing sector rotation patterns to predict where capital is flowing next.
  • Evaluating market sentiment through heat diffusion and CS indicator distribution.
  • Screening for industries with significant individual stock breakthroughs for early entry signals.

How Market Sector Heatmap Analysis Works

  1. Token Authentication: The skill first verifies the Daxiapi API configuration to ensure secure data access.
  2. Data Acquisition: It fetches sector heatmaps, concept data, and leading stock lists using specialized CLI commands.
  3. Market Nature Assessment: Before deep analysis, it calculates the 'up_ratio' of sectors to determine if the day is an Uptrend, Correction, or Divergence day.
  4. Algorithmic Filtering: Depending on the market nature, it applies specific logic paths (e.g., Path A for Uptrends) to filter sectors based on CS values, price changes, and golden cross signals.
  5. Report Generation: Synthesizes the processed data into a structured report following a strict logic chain: Data -> Inference -> Conclusion.

Market Sector Heatmap Analysis Setup

To use this skill within Openclaw Skills, follow these installation steps:

  1. Check Token Status:
daxiapi config get token
  1. Configure API Token (Obtain from daxiapi.com):
daxiapi config set token YOUR_TOKEN_FROM_DAXIAPI
  1. Verify Configuration:
daxiapi sector heatmap

Market Sector Heatmap Analysis Data Schema & Taxonomy

The skill organizes its output into several specialized data structures to provide comprehensive market coverage:

Data Object Description Key Indicators
csHeatmap 5-day CS historical sequence Momentum direction (↑↓)
zdfHeatmap Price change heatmap Daily percentage gain/loss
crossover Individual stock breakthroughs Early technical signals
cs_gt_5_names Top momentum sectors CS > 5 candidates
cs_crossover_ma20 Golden cross industries CS crossing above MA20

Market Sector Heatmap Analysis Advanced Features

  • Market Nature Intelligence: Automatically adapts reporting framework based on market conditions (Uptrend vs. Correction).
  • Verification Logic: Filters out 'fake' sector rallies by requiring at least 3 leading stocks to confirm a trend.
  • Historical Sequence Analysis: Uses 5-day trend data to avoid the pitfalls of single-day price fluctuations.
  • Risk Alerts: Includes built-in 'Red Flag' detection for data gaps, overheating (CS > 15), and misleading technical signals.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*