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OpenSucker
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social-media-intelligence

Extract financial signals from Twitter, Reddit, Discord, and Telegram for sentiment-driven trading.

15|2|Updated May 1, 2026
Search Tags:#social media#twitter#discord#sentiment analysis#reddit#telegram#financial signals
One-click install
npx skills add https://github.com/OpenSucker/OpenSucker --skill social-media-intelligence-opensucker
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: social-media-intelligence
Source: https://github.com/OpenSucker/OpenSucker/tree/main/skills/vibe_skills/social-media-intelligence
Command: npx skills add https://github.com/OpenSucker/OpenSucker --skill social-media-intelligence-opensucker

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires tweepy, praw, telethon, discord.py, vaderSentiment, transformers, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables users to gather and analyze financial insights from social media platforms, helping to identify market sentiment and signals.

Core Features & Use Cases

  • Data Collection: Fetches discussions and signals from Twitter/X, Telegram, Discord, and Reddit relevant to financial markets.
  • Sentiment Analysis: Quantifies and interprets sentiment polarity and intensity across different platforms.
  • Use Case: Traders can monitor live social signals, analyze sentiment shifts around earnings announcements, and incorporate the insights into their trading strategies.

Quick Start

Use this skill to gather recent Twitter discussions on Tesla and compute the overall market sentiment.

Frequently Asked Questions about social-media-intelligence

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

FAQPage Schema
How do I extract financial signals from Twitter and Reddit for trading?▼

You can extract financial signals from Twitter and Reddit by fetching platform discussions using API access modules like tweepy and praw, then applying sentiment analysis tools to quantify market polarity and intensity for trading decisions.

What is social media sentiment analysis for financial markets?▼

Social media sentiment analysis for financial markets involves collecting discussions from platforms like Twitter and Discord, then quantifying sentiment polarity and intensity to identify trend signals that support trading decisions.

Can I use vaderSentiment and transformers for crypto sentiment analysis on Telegram?▼

You can use vaderSentiment and transformers for crypto sentiment analysis on Telegram by fetching channel discussions via telethon, then scoring the text to quantify sentiment polarity and intensity for trading decisions.

How do I monitor live social signals on Discord during earnings announcements?▼

You can monitor live social signals on Discord during earnings announcements by fetching channel discussions using discord.py, then applying sentiment analysis tools to track real-time polarity shifts and incorporate insights into trading strategies.

Do I need API keys for Twitter, Reddit, Discord, and Telegram to analyze market sentiment?▼

Analyzing market sentiment requires API access modules like tweepy, praw, discord.py, and telethon, which necessitate valid developer API keys for Twitter, Reddit, Discord, and Telegram to fetch financial discussion data.

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