A systematic selection strategy for A-share main board stocks designed for end-of-day entry and next-day open exit.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install a-share-overnight-trading
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 a-share-overnight-trading 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 A-Share Main Board Overnight Trading Strategy?
This skill provides a comprehensive workflow for A-share main board (Shanghai 60-prefix and Shenzhen 00-prefix) overnight trading strategies. By leveraging the principles found in Openclaw Skills, traders can identify high-probability price gaps triggered by overnight news or shifts in market sentiment. This methodology is designed for short-term traders who seek to capture price differences between the daily close and the subsequent morning open.
The core value proposition lies in its disciplined approach to liquidity, volatility, and news sensitivity. It helps users navigate the 14:30 to 14:50 window with precision, ensuring that selected stocks meet strict quantitative and qualitative criteria to minimize risk in the volatile A-share environment.
A-Share Main Board Overnight Trading Strategy Use Cases
- Capturing overnight price appreciation driven by late-day market momentum
- Executing short-term tactical trades in oscillating or structural market environments
- Systematizing daily stock selection for main board securities using Openclaw Skills
- Managing portfolio risk through disciplined, time-bound entry and exit protocols
How A-Share Main Board Overnight Trading Strategy Works
- Sector Analysis: Identify the top 5 sectors by daily gain and capital inflow to isolate market hotspots.
- Quantitative Filtering: Apply hard constraints including price, turnover rate, and market capitalization within the target sectors.
- Technical Review: Evaluate K-line patterns and MACD indicators to ensure the stock is in a safe technical position.
- Manual Validation: Perform a final check on F10 news announcements and capital flow data for any red flags.
- Execution: Place buy orders between 14:48 and 14:50, then exit the entire position immediately at 09:30 the following day regardless of profit or loss.
A-Share Main Board Overnight Trading Strategy Setup
To implement this strategy with Openclaw Skills, you need to configure your trading terminal and utilize the provided Python utilities:
- Set up the conditional screening parameters in your preferred trading software (e.g., Tonghuashun, East Money).
- Ensure your local environment has Python 3.x installed for running the analysis scripts.
- Use the position calculator to manage your capital allocation:
python scripts/position_calculator.py
- Validate potential stocks against the hard criteria using the quick check tool:
python scripts/quick_check.py --ticker 000001
A-Share Main Board Overnight Trading Strategy Data Schema & Taxonomy
The strategy organizes its selection criteria into a structured taxonomy to ensure consistency across different market conditions. This data schema is central to the Openclaw Skills framework:
| Attribute | Specification | Justification |
|---|---|---|
| Market Scope | 60-prefix (SH) or 00-prefix (SZ) | High liquidity and moderate volatility |
| Price Filter | > 5 RMB | Minimizes penny stock risks |
| Gain Range | +1% to +5% | Ensures momentum without over-extension |
| Turnover Rate | 3% to 10% | Indicates active trading interest |
| Volume | > 100 Million RMB | Guarantees ease of entry and exit |
| Market Cap | 5 Billion to 50 Billion RMB | Balances stability with growth potential |
A-Share Main Board Overnight Trading Strategy Advanced Features
- Python-based automation for rapid ticker validation and position sizing
- Sector-specific sensitivity mapping for news-driven catalysts
- Multi-indicator technical verification hooks (MACD/Moving Averages)
- Adaptive risk management protocols for weekend and holiday trading gaps within Openclaw Skills
SKILL.md
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