A high-performance financial analysis skill for AI agents providing minute-level K-lines, sector rankings, and multi-market real-time data via the thsdk.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ths-advanced-analysis
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 ths-advanced-analysis using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
THS Advanced Analysis is a robust technical tool designed for Openclaw Skills users who require deep market introspection. It leverages the thsdk to provide high-frequency trading data, including granular minute-level K-lines (1m to 120m), real-time order book depth, and big order flow tracking. This skill bridges the gap between simple price tracking and professional-grade quantitative research, offering a comprehensive suite for analyzing A-shares, Hong Kong stocks, US markets, forex, and futures.
Beyond basic price action, the skill excels at comparative analysis and natural language discovery. Users can execute complex multi-stock comparisons with normalized trend charts and correlation heatmaps. It also integrates seamlessly with the Wencai NLP engine, allowing for sophisticated stock screening based on financial metrics, technical patterns, and real-time market anomalies like call auction spikes or sudden price surges.
To integrate this into your environment, install the required SDK and ensure you are running Python 3.9+.
pip install --upgrade thsdk
Basic connection template:
from thsdk import THS
# Openclaw Skills implementation using guest mode
with THS() as ths:
resp = ths.search_symbols("Tonghuashun")
print(resp.df)
The skill organizes data primarily through Pandas DataFrames with standardized naming conventions:
| Data Category | Key Fields | Format |
|---|---|---|
| K-Line Data | time, open, high, low, close, volume, amount | DataFrame |
| Order Book | bid1-5_price/vol, ask1-5_price/vol, last_close | DataFrame |
| Market Anomaly | time, price, anomaly_type, code, name | List/Table |
| Multi-Stock | stock_name, latest_price, change_pct, turnover, cap | Table |
| NLP Results | ths_code, stock_name, query_specific_fields | DataFrame |
All timestamps are localized to Asia/Shanghai (UTC+8).
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