A comprehensive Python-based toolkit for automating A-share convertible bond analysis, subscription tracking, and risk monitoring.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install convertible-bond-assistant
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install convertible-bond-assistant 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 Convertible Bond Assistant?
The Convertible Bond Assistant is a professional-grade utility designed to streamline the investment workflow for the Chinese A-share convertible bond market. By utilizing Openclaw Skills, developers and investors can automate the collection of issuance data, perform fundamental analysis on underlying stocks, and generate listing premium predictions based on historical peer performance.
This tool bridges the gap between raw financial data and actionable insights, providing a centralized framework for managing the entire lifecycle of a convertible bond investment. From initial subscription alerts to monitoring mandatory redemption risks, this skill ensures that investors stay ahead of market movements through data-driven automation.
Convertible Bond Assistant Use Cases
- Tracking daily subscription windows for new convertible bond issuances.
- Analyzing issuer credit ratings and fundamental financial metrics (PE/PB ratios).
- Predicting market listing premiums using industry-specific comparison models.
- Monitoring real-time triggers for mandatory redemptions and downward price revisions.
How Convertible Bond Assistant Works
- The skill initiates data retrieval from major financial providers including Eastmoney, Sina Finance, and Cninfo.
- Raw data is processed via pandas to organize upcoming issuance dates and subscription codes.
- Analysis modules evaluate the underlying stock valuation and industry position to estimate listing prices.
- Historical win rates are calculated based on account participation trends and issuance volume.
- Monitoring scripts run periodically to check for announcement triggers such as redemption notices or price adjustments.
Convertible Bond Assistant Setup
To integrate this functionality into your environment, install the necessary Python dependencies and execute the main entry point:
pip3 install requests pandas beautifulsoup4
python3 main.py
Convertible Bond Assistant Data Schema & Taxonomy
The skill maintains a structured data hierarchy to ensure fast retrieval and local persistence:
| File/Component | Description | Format |
|---|---|---|
| cb_history.csv | Local cache of historical bond performance and premiums | CSV |
| API.md | Documentation of external data source endpoints | Markdown |
| CACHE_EXPIRE_MINUTES | Configurable interval for data refresh cycles | Integer |
| ALERT_THRESHOLD | User-defined triggers for premium and redemption alerts | Python Dictionary |
Convertible Bond Assistant Advanced Features
- Real-time event monitoring for 'Strong Redemption' and 'Downward Revision' announcements.
- Automated industry-peer valuation modeling for high-accuracy premium forecasting.
- Single-account winning probability estimation based on historical data backtesting.
- Multi-source data aggregation through Openclaw Skills to ensure high reliability and uptime.
SKILL.md
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