market-emotion-discovery

Name: market-emotion-discovery
Availability: InStock
Author: Duolong

Identifies extreme market sentiment from social media and news data.

59|30|Updated Apr 30, 2026

Search Tags:#sentiment analysis #market sentiment #financial decision-making #market panic #market exuberance

Ready to run

npx skills add https://github.com/duolongworld/AI_Renaissance --skill market-emotion-discovery

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: market-emotion-discovery
Source: https://github.com/duolongworld/AI_Renaissance/tree/main/skills/news/market_emotion_discovery
Command: npx skills add https://github.com/duolongworld/AI_Renaissance --skill market-emotion-discovery

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires social_media_api, news_api, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill identifies extreme market sentiment, aiding in informed decision-making by providing insights into market panic or exuberance.

Core Features & Use Cases

Sentiment Analysis: Detects market panic or exuberance based on social media and news data.
辅助 Decision-Making: Provides auxiliary signals for arbitration layers to make informed decisions.
Use Case: For instance, if social media is filled with overly positive or negative sentiments, this Skill can help identify potential market reversals.

Quick Start

Analyze the market sentiment for the stock 'AAPL' over the last 7 days using the market-emotion-discovery skill.

Frequently Asked Questions about market-emotion-discovery

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

FAQPage Schema

What is market sentiment analysis and how does it detect market panic or exuberance?▼

Market sentiment analysis detects extreme emotional conditions like panic or exuberance by processing social media and news data. It reveals potential market reversals when social media and news data exhibit overly positive or negative sentiment trends.

How do I analyze market sentiment for a specific stock over a specific period?▼

To analyze market sentiment for a stock like AAPL, the Skill processes social media and news data over your target period, such as the last 7 days. It then outputs auxiliary signals indicating whether the sentiment is extreme.

Do I need external APIs to perform financial sentiment analysis?▼

Yes, you need access to social media and news APIs to perform financial sentiment analysis. These external dependencies provide the raw data required to detect market panic or exuberance for informed financial decision-making.

Can I use market sentiment data as a signal for financial decision-making?▼

Yes, you can use market sentiment data as auxiliary signals for arbitration layers in financial decision-making. It helps identify extreme market sentiment, providing insights to act on potential market reversals.

What are the limitations of using social media and news data for market sentiment detection?▼

The limitation of using social media and news data for market sentiment detection is that it serves only as an auxiliary signal. It requires API access and provides supportive, not standalone, insights for financial decision-making.