An automated quantitative trading bot designed to identify stable entries and execute high-sell low-buy strategies for convertible bonds.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install convertible-bond-trading-bot
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-trading-bot 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 Trading Bot?
The Convertible Bond Trading Bot is a sophisticated quantitative tool tailored for investors looking to capitalize on the convertible bond market. By leveraging a "stop-fall and stabilize" quantitative model, this skill automates the identification of high-probability trading targets with a verified win rate of over 80%. It serves as a comprehensive bridge between market data and execution, ensuring that users can maintain a disciplined trading strategy regardless of market volatility.
Built for the Openclaw Skills ecosystem, the bot removes the emotional hurdles of greed and fear by strictly adhering to user-defined parameters. Whether you are looking for a reliable backtesting engine or a real-time signal provider for live trading, this skill provides the technical infrastructure to achieve professional-grade results with a target annual return of over 30%.
Convertible Bond Trading Bot Use Cases
- Automating the screening process for convertible bonds based on price stability and trend patterns.
- Executing high-sell and low-buy operations automatically during upward market trends.
- Validating custom trading strategies using historical market data through the built-in backtesting engine.
- Setting up real-time trade alerts via WeChat or email for manual intervention or API-led execution.
How Convertible Bond Trading Bot Works
- The bot initiates a payment verification sequence via SkillPay.me to unlock trading features.
- Users configure custom strategy parameters including high-sell/low-buy thresholds, position ratios, and stop-loss lines.
- The system scans the market using integrated data providers like akshare or tushare to identify bonds meeting the quantitative criteria.
- Real-time monitoring tracks price movements and triggers automated alerts or API trades based on the configured strategy.
- All transaction records and profit statistics are logged locally for performance analysis.
Convertible Bond Trading Bot Setup
To deploy this skill within your Openclaw Skills environment, ensure you have Python 3.8+ installed and run the following commands:
# Install required dependencies
pip install flask tushare akshare
# Configure your API Key for SkillPay.me
export SKILLPAY_API_KEY="sk_d11f398e77b6e892eb7a7d421fe912dde27322cf1792366b776b72bd459d3c2e"
# Initialize the local SQLite database and start the bot
python bot_runner.py
Convertible Bond Trading Bot Data Schema & Taxonomy
The skill manages its data using SQLite3 to ensure portability and low latency. The data structure is organized as follows:
| Table | Description |
|---|---|
trading_strategy |
Stores threshold parameters, stop-loss lines, and position sizing configs. |
bond_watchlist |
Contains the filtered list of convertible bonds meeting the quantitative model criteria. |
trade_logs |
Historical record of all buy/sell signals and executed transactions. |
performance_stats |
Aggregated data on ROI, maximum drawdown, and win rates. |
Convertible Bond Trading Bot Advanced Features
- Multi-channel notifications supporting WeChat and Email for immediate signal response.
- Mandatory redemption reminders and automated stop-loss protection to mitigate downside risk.
- Support for live API integration for fully autonomous execution on supported brokerages.
- Advanced backtesting module for uploading and testing custom historical datasets.
SKILL.md
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