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openclaw-retail-trader

Generate A-share stock and ETF trading ideas with Eastmoney data.

32|Updated Apr 3, 2026
Search Tags:#openclaw#stock-analysis#a-share#eastmoney#retail-trader#trading-ideas
One-click install
npx skills add https://github.com/KKunkuner/openclaw-retail-trader --skill openclaw-retail-trader
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openclaw-retail-trader
Source: https://github.com/KKunkuner/openclaw-retail-trader/tree/main
Command: npx skills add https://github.com/KKunkuner/openclaw-retail-trader --skill openclaw-retail-trader

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Retail traders in China A-shares often struggle with impulsive decision-making and a lack of structured, execution-ready plans. This Skill provides a first-person retail-trader perspective and prompts that translate market ideas into concrete, actionable trading suggestions while respecting typical small-cap risk and T+1 constraints.

Core Features & Use Cases

  • Guided information collection via prompts/intake.md, prompts/setup-analyzer.md, and prompts/persona-selector.md to identify stock/ETF, timeframe, and risk profile.
  • Persona-based strategy generation that mirrors common retail mindsets (e.g., momentum chaser, breakout hunter) to produce concrete actions, including stop-loss, take-profit, and position sizing.
  • Integrated workflow with prompts/response-builder.md to output a compact three-field result for quick trading decisions.

Quick Start

Input a China A-share stock or ETF and timeframe, and the skill will output three lines describing my trader persona, my immediate thoughts, and my intended action.

Frequently Asked Questions about openclaw-retail-trader

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get actionable A-share trading ideas with stop-loss and take-profit levels?▼

To get actionable A-share trading ideas, this skill generates a first-person retail-trader perspective covering short-term momentum, chart patterns, and risk-aware execution plans. It outputs concrete actions including stop-loss, take-profit, and position sizing based on your specified stock or ETF and timeframe.

Can I generate trading ideas for China A-share ETFs under T+1 constraints?▼

Yes, you can generate trading ideas for China A-share ETFs under T+1 constraints. The skill respects typical small-cap risk and T+1 settlement rules, structuring its output to account for these constraints when delivering execution-ready trading suggestions.

What is a retail-trader persona-based strategy for stock analysis?▼

A retail-trader persona-based strategy mirrors common retail mindsets like momentum chaser or breakout hunter to produce concrete trading actions. This skill uses persona selection to translate market ideas into structured execution plans tailored to specific retail trading behaviors.

Does the Eastmoney data integration support short-term momentum analysis for A-shares?▼

Eastmoney data integration supports short-term momentum analysis for A-shares by providing the market data used by the skill. When available, the skill strictly uses Eastmoney data to identify momentum and chart patterns for generating its trading ideas.

How do I translate a market idea into a concrete A-share execution plan?▼

To translate a market idea into a concrete A-share execution plan, input a stock or ETF and timeframe to receive a compact three-field output. The skill produces a trader persona, immediate thoughts, and intended actions to guide quick trading decisions.

What are the limitations of using retail-style trading ideas for small-cap A-shares?▼

The limitations of using retail-style trading ideas for small-cap A-shares include the inherent risks of impulsive decision-making and strict T+1 settlement constraints. The skill addresses this by providing risk-aware execution plans, but retail trading still carries significant small-cap volatility risks.

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