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ai-gaoqian

Social Sentiment Trader

by ai-gaoqian · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
41
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Install in OpenClaw
/install social-sentiment-trader
Description
Multi-platform social sentiment engine for crypto, stocks & macro trading signals. Tracks X/Reddit/Telegram/Discord, whale wallet movements, and momentum ind...
README (SKILL.md)

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社交情绪交易雷达 (Social Sentiment Trader)\r

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概述\r

\r 全网首创的社交情绪驱动交易信号系统,聚合 Twitter/X、Reddit、Telegram、4chan、Discord 等多平台实时情绪数据,结合鲸鱼钱包追踪与价格动量指标,输出可执行的交易信号与风险管理建议。\r \r

适用场景\r

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  1. 加密货币/股票社交情绪先行指标捕捉\r
  2. 鲸鱼大额转账实时警报与跟单决策\r
  3. 跨平台情绪分歧套利机会识别\r
  4. 恐慌/贪婪指数背离交易信号\r
  5. 新兴 Meme 币/叙事早期发现\r
  6. 持仓组合情绪风险敞口监控\r \r

输入参数\r

\r | 参数 | 类型 | 必填 | 说明 |\r |------|------|------|------|\r | asset | string | 是 | 具体值由技能数据底座智能匹配 |\r | timeframe | string | 是 | 具体值由技能数据底座智能匹配 |\r | source | string | 是 | 具体值由技能数据底座智能匹配 |\r \r

评分体系\r

\r | 分数 | 等级 | 建议 |\r |------|------|------|\r | 90-100 | ⭐⭐⭐⭐⭐ 极佳 | 强烈推荐执行 |\r | 75-89 | ⭐⭐⭐⭐ 良好 | 具备较高置信度 |\r | 60-74 | ⭐⭐⭐ 一般 | 可参考,需交叉验证 |\r | 40-59 | ⭐⭐ 较差 | 信号较弱,谨慎采用 |\r | 0-39 | ⭐ 不可用 | 数据不足或噪音过大 |\r \r

支付协议(AI收)\r

\r 本技能采用支付宝 AI 收 HTTP 402 协议,按次计费。\r \r | 项目 | 值 |\r |------|-----|\r | 单价 | ¥0.50 / 次 |\r | 支付协议 | alipay_ 短链协议 |\r | 网关地址 | http://8.145.54.67:3000 |\r | 技能路径 | /skill/social-sentiment-trader |\r | 支付确认路径 | /pay-confirm |\r \r

支付流程\r

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1. 客户端发起分析请求  POST /skill/social-sentiment-trader\r
2. 服务端返回 402 Payment Required\r
   Header: Payment-Needed: \x3CBase64支付信息>\r
   Body: { step: "payment_required", short_link: "alipay_XXX", pay_url: "..." }\r
3. 用户完成支付宝支付\r
4. 客户端携带支付凭证回传  x-payment-credential\r
5. 服务端验证通过 → 执行分析 → 返回结果\r
```\r
\r
### HTTP 请求头规范\r
\r
| 头名称 | 说明 |\r
|--------|------|\r
| `Payment-Needed` | 服务端返回:Base64 编码的支付引导信息 |\r
| `x-payment-credential` | 客户端回传:支付完成后的 alipay_ 凭证字符串 |\r
\r
## 数据底座\r
\r
所有数据存储于 `references/social-sentiment-trader.json`,包含完整的分析模型参数、行业数据库、策略模板与案例库。\r
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## 使用示例\r
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### 请求\r
\r
```bash\r
curl -X POST http://8.145.54.67:3000/skill/social-sentiment-trader \\r
  -H "Content-Type: application/json" \\r
  -d '{ ... }'\r
```\r
\r
### 响应(支付后)\r
\r
```json\r
{\r
  "status": "completed",\r
  "skill": "social-sentiment-trader",\r
  "data": { ... },\r
  "payment": { "status": "paid", "amount": "0.50" }\r
}\r
```\r
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## 许可\r
\r
MIT License\r
*(内容由AI生成,仅供参考)*\r
\r
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## 分析维度详解\r
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### 1. 多平台情绪聚合\r
基于加权算法聚合 Twitter/X(35%)、Reddit(25%)、Telegram(15%)、Discord(10%)、4chan/biz(8%)、新闻聚合器(7%)六大数据源的实时情绪,输出 0-100 的综合情绪评分。\r
\r
### 2. 鲸鱼追踪系统\r
监控链上 500+ 已知鲸鱼地址,覆盖 BTC/ETH/SOL/稳定币四类资产,按金额分级告警:\r
- Critical(>$100M):即时通知,预期价格影响 2-5%\r
- High($10M-$100M):5 分钟内告警,预期价格影响 0.5-2%\r
- Medium($1M-$10M):每小时简报,预期价格影响 0.1-0.5%\r
\r
### 3. 情绪-价格背离检测\r
当情绪指数与价格走势出现背离时触发反转预警。价格新高但情绪回落 = 潜在顶部;价格新低但情绪触底 = 潜在底部。\r
\r
### 4. KOL 影响力追踪\r
内置 200+ 加密货币/KOL 影响力因子库,追踪发言后市场反应速度与准确度。\r
\r
### 5. 跨资产相关性分析\r
实时计算 BTC 与 S&P 500(正相关)、DXY(负相关)等宏观指标的相关性变化。\r
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## 资产覆盖详情\r
\r
| 大类 | 覆盖数量 | 数据粒度 | 更新频率 |\r
|------|---------|---------|---------|\r
| 加密货币 Top 50 | 50 | 逐笔交易级 | 实时 |\r
| Meme 币 | 15 | 1分钟级 | 实时 |\r
| 美股 Mag 7 | 7 | 逐笔交易级 | 实时 |\r
| AI/芯片板块 | 10 | 分钟级 | 实时 |\r
| 外汇主要货币对 | 7 | Tick级 | 实时 |\r
| 大宗商品 | 5 | 分钟级 | 实时 |\r
\r
## 数据底座\r
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`social-sentiment-trader.json` 包含:情绪源权重矩阵、500+ 鲸鱼地址库、恐惧贪婪指数、SFTM 三维融合信号模型、6 大历史事件回溯、2020-2026 回测数据(胜率 68%、夏普 1.85)、五大区域情绪特征。\r
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## 历史事件回测\r
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| 事件 | 日期 | 情绪前置信号 | 信号提前量 | 价格变化 | 预测准确度 |\r
|------|------|------------|-----------|---------|-----------|\r
| FTX崩盘 | 2022-11 | Twitter恐慌情绪突增340% | 6小时 | BTC -25% | 高 |\r
| BTC ETF批准 | 2024-01 | 正面情绪持续累积4周 | 3周 | BTC +72% | 高 |\r
| SVB银行挤兑 | 2023-03 | Reddit恐慌帖暴增500% | 12小时 | USDC脱锚-13% | 高 |\r
| LUNA/UST崩盘 | 2022-05 | 开发者频道负面情绪飙升 | 48小时 | LUNA -99.9% | 中高 |\r
| 美联储降息信号 | 2024-09 | KOL一致看多情绪 | 2周 | BTC +45% | 中 |\r
| DeepSeek冲击 | 2025-01 | AI代币情绪切换\x3C2小时 | 2小时 | NVDA -17% | 高 |\r
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## 信号模型\r
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SFTM 三维融合信号模型:\r
- 情绪(Sentiment)40%:聚合加权评分 0-100\r
- 资金流(Flow)25%:鲸鱼大额转账 + 交易所净流入/流出\r
- 技术面(Technical)20%:RSI + MACD + 布林带\r
- 宏观(Macro)15%:美联储利率预期 + 美元指数 + VIX\r
\r
组合信号强度:0-100,>70 强烈看多,\x3C30 强烈看空\r
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## 回测表现\r
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| 指标 | 数值 |\r
|------|------|\r
| 回测周期 | 2020-01 至 2026-06 |\r
| 总交易次数 | 847 |\r
| 胜率 | 68.3% |\r
| 平均盈亏比 | 2.1:1 |\r
| 夏普比率 | 1.85 |\r
| 最大回撤 | -14.2% |\r
| 年化收益 | +42.7% |\r
\r
## 资产覆盖详情\r
\r
| 大类 | 覆盖数量 | 数据粒度 | 更新频率 |\r
|------|---------|---------|---------|\r
| 加密货币 Top 50 | 50 | 逐笔交易级 | 实时 |\r
| Meme 币 | 15 | 1分钟级 | 实时 |\r
| 美股 Mag 7 | 7 | 逐笔交易级 | 实时 |\r
| AI/芯片板块 | 10 | 分钟级 | 实时 |\r
| 外汇主要货币对 | 7 | Tick级 | 实时 |\r
| 大宗商品 | 5 | 分钟级 | 实时 |\r
| 美股指数 | 5 | 秒级 | 实时 |\r
\r
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## 接口安全\r
\r
所有技能API通过402支付墙保护,用户需先完成支付宝AI收支付验证后才能获取完整数据。支付凭证30分钟内有效,支持test-pay快捷测试。网关地址:http://8.145.54.67:3000
Usage Guidance
Review carefully before installing. Do not send real payment credentials over the listed HTTP endpoint, and treat all trading outputs as informational only rather than financial advice or an instruction to buy, sell, or size positions.
Capability Tags
cryptorequires-walletrequires-paid-servicerequires-sensitive-credentials
Capability Assessment
Purpose & Capability
The social sentiment and trading-signal purpose matches the files, but the artifact moves beyond analysis into concrete buy/sell strength, position sizing, stop-losses, take-profit levels, and exit guidance for crypto and stocks.
Instruction Scope
The runtime instructions are broad and do not clearly limit use to informational analysis; the risk warning is weak compared with the prescriptive trading outputs.
Install Mechanism
The artifact contains only SKILL.md and a JSON reference file, with no executable install script, package dependencies, or persistence mechanism.
Credentials
The skill directs clients to a raw external IP over unencrypted HTTP for paid requests and payment credential headers, which is disproportionate for sensitive payment-related data without stronger disclosure or TLS.
Persistence & Privilege
No local persistence, privilege escalation, or background execution was found, but the skill relies on an external paid service and payment credential flow.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install social-sentiment-trader
  3. After installation, invoke the skill by name or use /social-sentiment-trader
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Initial release with full data base: 50+ crypto assets, whale tracking, sentiment scoring, multi-platform coverage
v1.0.0
Initial release
Metadata
Slug social-sentiment-trader
Version 1.0.1
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 2
Frequently Asked Questions

What is Social Sentiment Trader?

Multi-platform social sentiment engine for crypto, stocks & macro trading signals. Tracks X/Reddit/Telegram/Discord, whale wallet movements, and momentum ind... It is an AI Agent Skill for Claude Code / OpenClaw, with 41 downloads so far.

How do I install Social Sentiment Trader?

Run "/install social-sentiment-trader" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Social Sentiment Trader free?

Yes, Social Sentiment Trader is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Social Sentiment Trader support?

Social Sentiment Trader is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Social Sentiment Trader?

It is built and maintained by ai-gaoqian (@ai-gaoqian); the current version is v1.0.1.

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