# Social Media Intelligence

Social media intelligence: financial signal extraction from Twitter/X, Telegram...

- Repository: https://github.com/HKUDS/Vibe-Trading (37375 stars)
- Category: Marketing
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add HKUDS/Vibe-Trading --skill social-media-intelligence -g -a claude-code -y`
Codex: `npx skills add HKUDS/Vibe-Trading --skill social-media-intelligence -g -a codex -y`
Cursor: `npx skills add HKUDS/Vibe-Trading --skill social-media-intelligence -g -a cursor -y`
Gemini CLI: `npx skills add HKUDS/Vibe-Trading --skill social-media-intelligence -g -a gemini-cli -y`

## Description

Social media intelligence: financial signal extraction from Twitter/X, Telegram, Discord, and Reddit for sentiment-driven trading strategies.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Social Media Intelligence

> This skill integrates financial-intelligence collection methods and quantitative applications across Twitter/X, Telegram, Discord, and Reddit.
> Inspired by `himself65/finance-skills` modules such as `discord-reader`, `telegram-reader`, and `twitter-reader`.

---

## 1. Overview of the Four Major Financial Social Platforms

### 1.1 Twitter/X, The FinTwit Ecosystem

**Core roles**

| Role Type | Representative Account Traits | Signal Value |
|---------|------------|---------|
| Sell-side analyst | Institutional backing, dense posting around earnings | Medium, somewhat lagging |
| Fund manager | Holdings views, industry judgment | High, but mixed with subjective opinion |
| Macro commentator | Fed interpretation, macro-data reaction | High, a good sentiment barometer |
| Crypto KOL | On-chain interpretation, project endorsement | Highly volatile, high manipulation risk |
| Retail noise | Meme spread, herd sentiment | Contrarian signal value at extremes |

**Core FinTwit circles**
- `$TICKER` cashtag system directly maps discussion to the asset
- Earnings-season sentiment patterns before and after reports
- Real-time reaction speed to policy / macro events, often 15-60 minutes ahead of traditional media

---

### 1.2 Telegram, The Core Venue for Crypto Intelligence

**Channel types**

| Channel Type | Content Traits | How to Use |
|---------|---------|---------|
| Signal channels | Specific buy/sell levels, stop-loss / take-profit | Use as a sentiment thermometer, not for blind copy-trading |
| Research push channels | Institutional PDF reports, on-chain data | Aggregate information and extract key numbers |
| Macro flash channels | Real-time interpretation of FOMC, CPI, etc. | Event-driven signals |
| Official project channels | Tokenomics updates, partnership announcements | Potential alpha, but requires filtering |
| Whale alert channels | Large on-chain transfer alerts | Capital-flow signal |

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The rest: https://github.com/HKUDS/Vibe-Trading/blob/HEAD/agent/src/skills/social-media-intelligence/SKILL.md