Skip to content
Get packs

Market Sentiment Analysis

Reads fear/greed, put-call ratio, margin and northbound fund signals into a sentiment framework

Source Download skill
Repository
HKUDS/Vibe-Trading
Stars
37,433
Licence
MIT
Files
1 file

What it does

When installed, the agent gains a structured framework for interpreting market mood. It explains how to read crypto and A-share fear-and-greed indicators, options put-call ratios, margin trading balances, and foreign inflows via Stock Connect, and treats extreme readings as contrarian signals. It also provides a template for combining these into a composite 0-100 sentiment score with suggested position sizes and a social-media sentiment checklist. The skill is written mainly as reference knowledge and output templates rather than as a tool that fetches live data.

Great for

  • Investors or analysts who follow Chinese A-shares or crypto and want a consistent sentiment checklist
  • Students learning how contrarian sentiment indicators are typically interpreted
  • Developers building a market-report template that needs a sentiment section

Skip it if

  • Making trading decisions on their own: the file itself warns that sentiment indicators are not precise timing tools and extreme readings can persist for long periods
  • Real-time trading signals: the file notes margin data is published with a one-day lag and northbound disclosure rules changed after 2023, and it does not connect to live feeds
  • Users who expect the skill to pull current figures automatically: the file contains example values and thresholds but no data-fetching code

Try asking

  • “Give me a sentiment dashboard for the current A-share market using turnover, margin balance and northbound flows, and a composite score”
  • “Explain what a put-call ratio of 1.6 would suggest about contrarian positioning in the 50ETF options market”
  • “Assess whether crypto fear and greed at 85 is a reason to reduce exposure, and what position range the framework suggests”
  • “Build a social media sentiment checklist for tracking retail enthusiasm in a Chinese stock forum”
Step-by-step guide: how to use Market Sentiment AnalysisInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 1 original files, the MIT licence and an attribution note.

    sentiment-analysis.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip sentiment-analysis.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip sentiment-analysis.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Ask for trends and percentiles over weeks or months rather than single-day readings, as the file itself recommends
  • Supply your own current data in the request, since the skill does not fetch it and some sources (Bloomberg, Glassnode) require paid APIs
  • Treat the suggested position percentages as a starting template and check them against your own risk tolerance and the underlying fundamentals

What's inside

  • SKILL.md

Redistributed unmodified from HKUDS/Vibe-Trading under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.