By AlphaMoeMoe
Access market sentiment data from 60+ finance YouTubers. Get ticker sentiment analysis, daily market summaries, blogger positions, and search viewpoints.
Compare sentiment and blogger opinions between two stocks. Use when users want to analyze NVDA vs AMD, or any two tickers side by side.
Find stocks with consensus sentiment across multiple finance YouTubers. Use when looking for stocks that multiple bloggers agree on (bullish or bearish).
Discover trending topics and sectors being discussed by finance YouTubers. Use when users want to know what's hot in the market.
Generate a structured daily market briefing based on YouTuber sentiment. Use when users want a morning report or daily market overview.
Identify stocks where blogger sentiment has changed significantly. Use when users want to find who changed their mind or detect sentiment reversals.
External network access
Connects to servers outside your machine
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Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
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Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
FOCI 提供 MCP Server 和 Agent Skills,为你习惯用的 AI Agent 提供实时中文财经 KOL 情绪数据,帮助你快速了解市场观点、追踪博主持仓、分析股票情绪。
兼容 Claude Code、Cursor、Codex、Gemini CLI、Trae 等主流 Agent 工具。
将此市场添加到 Claude Code:
/plugin marketplace add AlphaMoeMoe/FOCI
安装插件:
/plugin install AlphaMoeMoe@AlphaMoeMoe-FOCI
一键安装 Agent Skills:
npx skills install AlphaMoeMoe/FOCI
安装 MCP:
{
"moemoe": {
"type": "http",
"url": "https://gbmrzpnasfxsewvxclun.supabase.co/functions/v1/mcp/mcp",
"headers": {
"Authorization": "Bearer ${MOEMOE_API_KEY}"
}
}
}
| 插件 | 描述 |
|---|---|
| AlphaMoeMoe | 来自 60+ 位财经 YouTuber 的市场情绪数据 |
如需向此市场添加插件:
plugins/your-plugin-name/ 下创建目录plugin.jsonREADME.md 文档.claude-plugin/marketplace.json 以包含你的插件LGPL-2.1
npx claudepluginhub alphamoemoe/fociAnalyze market sentiment from social media, news, and on-chain data
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