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social-media-intelligence

Extract financial-signal data from social-media platforms for sentiment-driven trading strategies.

Updated Aug 23, 2026
Search Tags:#twitter#discord#reddit#social-media#telegram#sentiment#data-collection
One-click install
npx skills add https://github.com/prinzeval/Vibe-Trading --skill social-media-intelligence-prinzeval
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: social-media-intelligence
Source: https://github.com/prinzeval/Vibe-Trading/tree/main/VALENDATA/agent/src/skills/social-media-intelligence
Command: npx skills add https://github.com/prinzeval/Vibe-Trading --skill social-media-intelligence-prinzeval

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Social-media data overload hampers rapid, data-driven trading decisions; this skill curate, score, and structure signals from major platforms to support sentiment-driven strategies.

Core Features & Use Cases

  • Collects data from Twitter/X, Telegram, Discord, and Reddit for sentiment analysis.
  • Provides data schemas and guidance for scalable research, real-time watching, and backtesting.
  • Use case: Build a live sentiment monitor that flags notable theme shifts around earnings or policy events.

Quick Start

Begin by enabling data collection from Twitter/X and Reddit, then run the sentiment scoring pipeline on the aggregated posts.

Frequently Asked Questions about social-media-intelligence

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

FAQPage Schema
How do I collect social media sentiment data from Twitter and Reddit for trading analysis?▼

To collect social media sentiment data for trading, you can enable modular collection pipelines that aggregate posts from Twitter/X and Reddit, then run a sentiment scoring pipeline on the structured data.

What is the best way to monitor real-time social media signals across Discord and Telegram?▼

Real-time social media monitoring across Discord and Telegram is handled by defining cross-source data schemas that capture financial signals, enabling event-driven analysis for notable theme shifts.

Can I backtest trading strategies using historical social media data from multiple platforms?▼

Yes, you can backtest sentiment-driven trading strategies using the skill's scalable research backfill capabilities, which structure historical social media data from supported platforms into defined schemas.

Does this social media intelligence skill support event-driven sentiment analysis for earnings or policy events?▼

Yes, the skill supports event-driven analysis by providing data schemas and guidance for building live sentiment monitors that flag notable theme shifts around earnings or policy events.

What data privacy and logging requirements are needed when extracting financial signals from social media?▼

Extracting financial signals from social media requires prescribed data privacy and logging requirements to ensure compliant data collection, sentiment scoring, and structured pipeline execution.

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