A-Share Real-time Market Monitor & Technical Analysis for Openclaw

A comprehensive A-share monitoring skill offering real-time data, advanced technical analysis, and smart investment advisory without the need for API keys.

chenjianghua117
v1.0.0
Mar 7, 2026
0
1.6k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install a-stock-watcher

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 a-stock-watcher 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 Real-time Market Monitor & Technical Analysis?

This skill provides a robust framework for monitoring the Chinese A-share market by aggregating data from top financial providers like East Money, Tencent, and Sina. As a powerful addition to the Openclaw Skills ecosystem, it offers low-latency price tracking (1-3 seconds), technical indicator calculation, and automated risk management.

Designed for both developers and active traders, the skill synthesizes complex market data into actionable insights. It empowers users to make data-driven decisions through advanced analytics and smart investment advisory features, including valuation analysis and portfolio optimization, all while maintaining a failover-safe architecture that ensures high availability.

A-Share Real-time Market Monitor & Technical Analysis Use Cases

  • Tracking real-time price movements for A-share stocks with 1-3 second latency.
  • Setting automated price alerts to trigger notifications when target levels are reached.
  • Generating deep technical analysis reports using 20+ indicators like MACD, RSI, and KDJ.
  • Monitoring portfolio performance and calculating dynamic stop-loss/take-profit levels.
  • Automating daily market closing reports and risk assessment questionnaires.

How A-Share Real-time Market Monitor & Technical Analysis Works

  1. The skill connects to primary and backup financial APIs (East Money, Tencent, Sina) to fetch live market data.
  2. It processes incoming data streams to calculate technical indicators and evaluate market trends in real-time.
  3. Background threads monitor user-defined price targets and volatility thresholds for anomaly detection.
  4. Commands are interpreted to trigger specific workflows, such as generating valuation reports or updating portfolio data.
  5. Alerts and reports are pushed through integrated communication channels like DingTalk or summarized within the interface.

A-Share Real-time Market Monitor & Technical Analysis Setup

Ensure you have Python 3.x installed on your system. This skill relies on the requests library for data fetching.

pip install requests

No API keys are required as the skill utilizes public financial data endpoints optimized for Openclaw Skills users.

A-Share Real-time Market Monitor & Technical Analysis Data Schema & Taxonomy

The skill organizes market data and user configurations using the following structure:

Component Description Data Type
Stock Metadata Ticker symbol, name, and current price JSON Object
Technical Indicators MA, EMA, RSI, MACD, KDJ, BOLL, etc. Numeric Array
Alert Tasks Target prices, direction, and trigger status List
Portfolio Data Cost basis, quantity, and unrealized P/L Dictionary
Risk Profile Conservative to Aggressive classification String

A-Share Real-time Market Monitor & Technical Analysis Advanced Features

  • Multi-source data failover architecture ensures continuous monitoring even if one provider is down.
  • Automated DingTalk push notifications for instantaneous price and risk alerts.
  • Comprehensive technical analysis engine supporting over 20 distinct financial indicators.
  • Smart advisory module using Modern Portfolio Theory for optimized asset allocation.
  • Dynamic stop-loss calculations based on ATR and historical market volatility.

SKILL.md


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