Quant Trading Assistant for Openclaw

An advanced A-share quantitative trading assistant providing real-time data, technical indicators, and automated decision support.

dxie48892-jpg
v1.0.1
Mar 22, 2026
1
1.1k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install quant-trading-assistant

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 quant-trading-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 Quant Trading Assistant?

Quant Trading Assistant is a specialized tool designed for the Chinese A-share market, integrating real-time price feeds from Tencent and Sina APIs with sophisticated technical analysis. It moves beyond simple data display by providing actionable trading signals, market sentiment tracking, and risk assessment.

This Openclaw Skills integration empowers developers and traders to automate stock screening based on fundamental growth metrics and technical triggers. It features deep analysis of indicators like MACD, KDJ, and Bollinger Bands, alongside a unique sentiment engine to identify market cycles such as high-tide or retreat phases.

Quant Trading Assistant Use Cases

  • Real-time price monitoring and batch stock quote retrieval.
  • Automated technical analysis for KDJ, MACD, and MA trends.
  • Quantitative stock screening based on PE, ROE, and revenue growth.
  • Market sentiment analysis to determine the current market cycle stage.
  • Dragon strategy signal detection for momentum and trend-following trades.

How Quant Trading Assistant Works

  1. The user requests data for a specific stock using standardized market prefixes like sh or sz.
  2. The skill fetches real-time quote data from major financial APIs.
  3. A local processing engine calculates technical indicators including moving averages and volatility bands.
  4. Quantitative rules are applied to assess risk levels and filter for growth or value characteristics.
  5. The system generates a comprehensive markdown report summarizing quotes, technicals, signals, and actionable advice.

Quant Trading Assistant Setup

To use this tool within the Openclaw Skills framework, ensure your environment supports Python. You can execute commands directly via the CLI:

# Analyze a specific stock (e.g., Kweichow Moutai)
python quant_trading_assistant.py analyze sh600519

# Perform a quantitative market screen
python quant_trading_assistant.py screen

# Check current market sentiment
python quant_trading_assistant.py sentiment

Quant Trading Assistant Data Schema & Taxonomy

The skill organizes data into a structured format for easy integration and display. Key data points include:

Data Point Description Example
Real-time Quote Price, change pct, volume, PE, PB {price: 1800, change: 1.5}
Technicals MA(5,10,20,60), KDJ, MACD, BOLL {ma5: 1750, k: 45}
Market Sentiment Phase, score, and turnover {phase: 'Launch', score: 85}
Risk Check Safety level and specific risk points {risk_level: 'Safe'}

Quant Trading Assistant Advanced Features

  • Multi-stock batch processing for efficient portfolio monitoring.
  • Dragon Head strategy detection including limit-up and first-negative-day signals.
  • Automated risk auditing to flag ST stocks, shareholder reductions, or abnormal PE.
  • Customizable screening thresholds for growth, value, and short-term trading strategies.
  • UTF-8 optimized console output for cross-platform compatibility.

SKILL.md


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