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social-media-intelligence

Aggregate sentiment from Twitter/X, Telegram, Discord, and Reddit using VADER and FinBERT.

6.1k|1.2k|Updated Jun 9, 2022
Search Tags:#analytics#cross-platform#finance#trading#social-media#sentiment-analysis
One-click install
npx skills add https://github.com/charliedream1/ai_quant_trade --skill social-media-intelligence-charliedream1
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: social-media-intelligence
Source: https://github.com/charliedream1/ai_quant_trade/tree/main/a_%E5%85%A8%E7%BD%91%E4%BC%98%E7%A7%80%E8%B5%84%E6%BA%90/10_%E5%A4%A7%E6%A8%A1%E5%9E%8B/07_skill%E5%8C%85/vibe_trading_skills/social-media-intelligence
Command: npx skills add https://github.com/charliedream1/ai_quant_trade --skill social-media-intelligence-charliedream1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Social sentiment signals from multiple platforms are scattered, noisy, and hard to translate into actionable trading decisions.

Core Features & Use Cases

  • Cross-platform sentiment mining from Twitter/X, Telegram, Discord, and Reddit to derive composite market signals.
  • Sentiment scoring with finance-tuned models (VADER for speed, FinBERT for accuracy) and aggregation into a single sentiment index.
  • Use Case: build a short-term sentiment-driven factor and trigger alerts when sentiment pivots.

Quick Start

Initiate data collection from Twitter/X, Telegram, Discord, and Reddit, perform sentiment analysis, aggregate results into a single signal, and present a trading-ready output.

Frequently Asked Questions about social-media-intelligence

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

FAQPage Schema
How do I aggregate cross-platform social media sentiment for trading?▼

Social media sentiment analysis for finance uses VADER for rapid scoring and FinBERT for deeper accuracy, aggregating cross-platform data into a single composite market signal for equities, crypto, and ETFs.

How do I monitor real-time social sentiment shifts for crypto and equities?▼

You can monitor real-time event-driven sentiment shifts by ingesting social signals from Twitter/X, Telegram, Discord, and Reddit, then calculating finance-relevant indicators to trigger alerts on sentiment pivots.

Do I need API access to extract social signals from Twitter and Discord?▼

Yes, extracting cross-platform social signals for finance requires access to platform APIs or public data from Twitter/X, Telegram, Discord, and Reddit to maintain privacy and compliance during analysis.

Can I use FinBERT and VADER together for finance sentiment scoring?▼

Yes, sentiment scoring uses VADER for rapid processing and FinBERT for finance-tuned accuracy, aggregating both models' outputs into a single composite sentiment index for factor construction.

What is the best way to build a sentiment-driven trading factor from social signals?▼

Build a sentiment-driven factor by aggregating cross-platform social signals from Twitter/X, Telegram, Discord, and Reddit into a composite index, enabling alerts when event-driven sentiment pivots occur.

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