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social-media-intelligence

Extract financial sentiment signals from Twitter/X, Telegram, Discord, and Reddit.

Updated May 15, 2026
Search Tags:#analytics#twitter#finance#reddit#market-data#social#sentiment
One-click install
npx skills add https://github.com/philipcoller-777/Vibe-Trading-TV2 --skill social-media-intelligence-philipcoller-777
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: social-media-intelligence
Source: https://github.com/philipcoller-777/Vibe-Trading-TV2/tree/main/agent/src/skills/social-media-intelligence
Command: npx skills add https://github.com/philipcoller-777/Vibe-Trading-TV2 --skill social-media-intelligence-philipcoller-777

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Social media chatter around financial assets is noisy, fragmented, and difficult to convert into reliable signals. This skill automates cross-platform data collection, sentiment scoring, and signal aggregation from Twitter/X, Telegram, Discord, and Reddit to deliver structured insights you can feed into trading models.

Core Features & Use Cases

  • Cross-platform sentiment extraction: gathers posts and messages from major social channels and computes sentiment scores.
  • Signal aggregation and weighting: combines platform signals with user-type emphasis (institutional, KOL, retail) to produce a robust market signal.
  • Rapid alerting for earnings, macro events, and policy shifts to support trading decisions.

Quick Start

Ingest social posts from targeted platforms and generate a structured sentiment signal for a given ticker.

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 sentiment signals from Twitter and Reddit?▼

Social-media-intelligence automates cross-platform data collection and sentiment scoring from Twitter/X, Reddit, Telegram, and Discord to deliver structured, JSON-friendly market signals for trading models.

Can I aggregate social media sentiment by user type like KOL or institutional?▼

Yes, the skill combines platform signals with user-type emphasis, weighting institutional, KOL, and retail chatter to produce a robust, aggregated market signal for specific financial assets.

How do I monitor real-time social media reactions to earnings and macro events?▼

You can ingest targeted social posts in near real-time or batched modes to generate rapid alerts and structured sentiment signals during earnings reactions, macro events, or policy shifts.

Does this sentiment analysis tool handle platform rate limits and data schemas?▼

The skill manages platform-specific fields and handles rate limits across Twitter/X, Telegram, Discord, and Reddit, satisfying front-end requirements by providing structured JSON-friendly outputs.

What is the best way to turn noisy financial social chatter into trading data?▼

By automating cross-platform data collection, sentiment scoring, and signal aggregation, this approach converts fragmented social chatter into structured insights ready for trading models.

Are there limitations to using social media sentiment for trading decisions?▼

Social media chatter is inherently noisy and fragmented; while this skill automates extraction and weighting, users must still interpret the aggregated signals within their broader trading strategies.

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