Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add skloxo/TideTrading --skill sentiment-analysisgit clone --depth 1 https://github.com/skloxo/TideTradingWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/skloxo/tidetrading/sentiment-analysis)<a href="https://agentmods.dev/skills/skloxo/tidetrading/sentiment-analysis"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/sentiment-analysis/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/skloxo/tidetrading/sentiment-analysis"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/sentiment-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.02975 |
| Opus 5 | $0.00020 | $0.01488 |
| Sonnet 5 | $0.00008 | $0.00595 |
| Haiku 4.5 | $0.00004 | $0.00298 |
Grade A, and why
sentiment-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to sentiment-analysis — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.
市场情绪分析
概述
量化市场情绪，将主观的"贪婪与恐惧"转化为可衡量的指标。覆盖恐贪指数、期权情绪、杠杆资金、外资流向和社交舆情五大维度。情绪指标常作为反向指标使用。
恐贪指数
加密恐贪指数（Crypto Fear & Greed Index）
分值范围: 0-100
| 分值 | 情绪状态 | 历史信号 |
|------|---------|---------|
| 0-20 | 极度恐惧 | 底部区域（逆向买入）|
| 20-40 | 恐惧 | 偏底部 |
| 40-60 | 中性 | 观望 |
| 60-80 | 贪婪 | 偏顶部 |
| 80-100 | 极度贪婪 | 顶部区域（逆向卖出）|
构成因子:
- 波动率 (25%): BTC 30天/90天波动率
- 市场动量 (25%): BTC价格 vs MA(30/90)
- 社交媒体 (15%): Twitter/Reddit情绪词频
- 调查 (15%): 投资者调查
- 比特币市占率 (10%): BTC Dominance
- Google趋势 (10%): "Bitcoin"搜索热度
A股恐贪指标
A股没有统一的恐贪指数，用以下组合替代：
| 指标 | 数据源 | 极度恐惧 | 极度贪婪 |
|---|---|---|---|
| 上证换手率 | 交易所 | <0.5% | >2.5% |
| 涨停家数/跌停家数 | 行情数据 | <0.3 | >5.0 |
| 新增开户数(周) | 中登 | <20万 | >100万 |
| 融资余额变化(月) | 交易所 | 净流出>500亿 | 净流入>1000亿 |
| ETF净申购 | 基金数据 | 宽基ETF净申购（抄底） | 净赎回（获利了结） |
恐贪指数使用方法
核心原则: 别人恐惧时贪婪，别人贪婪时恐惧
实操:
1. 极度恐惧（<20）: 分批建仓信号
- 不要一次性全仓，分3-5批
- 确认有基本面支撑（不是暴雷导致的恐惧）
2. 极度贪婪（>80）: 逐步减仓信号
- 不要做空（趋势可能持续）
- 减仓到安全水位（如从80%仓位降到50%）
3. 中性区间: 情绪指标失效，看其他因素
Put-Call Ratio
定义与解读
Put-Call Ratio = Put期权成交量 / Call期权成交量
| PCR | 含义 | 信号（反向指标）|
|-----|------|----------------|
| > 1.5 | 极度看空情绪 | 看多（恐惧过度）|
| 1.0-1.5 | 偏空 | 偏多 |
| 0.7-1.0 | 中性 | 无明确信号 |
| 0.5-0.7 | 偏多 | 偏空 |
| < 0.5 | 极度看多情绪 | 看空（贪婪过度）|
不同市场PCR参考
| 市场 | 数据源 | 正常范围 | 极端区间 |
|---|---|---|---|
| 美股（CBOE） | VIX期权 | 0.7-1.2 | <0.5 或 >1.5 |
| A股（上证50ETF） | 上交所 | 0.5-1.5 | <0.3 或 >2.0 |
| BTC（Deribit） | Deribit | 0.3-0.8 | <0.2 或 >1.2 |
PCR与VIX配合使用
PCR高 + VIX高 = 极度恐慌（强烈看多反转信号）
PCR低 + VIX低 = 极度自满（警惕黑天鹅）
PCR高 + VIX低 = 对冲需求（机构在保护多头）
PCR低 + VIX高 = 矛盾信号（需要更多确认）
融资融券信号（A股）
融资余额分析
融资 = 借钱买股（看多杠杆）
融券 = 借股卖出（看空杠杆）
融资余额指标:
- 绝对值: 反映杠杆资金总量（2024年约1.5-1.8万亿）
- 变化率: 周环比/月环比，方向比绝对值重要
- 占比: 融资余额/A股总市值，通常2-3%
融资融券信号
| 指标 | 看多信号 | 看空信号 |
|---|---|---|
| 融资余额 | 底部企稳后连续增加 | 高位加速增加（过热） |
| 融资净买入 | 连续5天净买入 | 连续5天净卖出 |
| 融券余额 | 大幅增加后减少（空头回补） | 突然大增（有人做空） |
| 融资/融券比 | 比值回落后反弹 | 极端高位（杠杆过高） |
融资余额历史阈值（A股）
2015年牛市顶部: 2.27万亿（极端）
2018年熊市底部: 0.76万亿
2020年正常区间: 1.0-1.2万亿
2024年正常区间: 1.4-1.8万亿
经验法则: 融资余额月增>10% → 过热警示
融资余额月减>10% → 恐慌警示
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 274 lines · 41 tokens per session scan A 1b0dbc016c4a
sentiment-analysis is a skill published in the GitHub repository skloxo/TideTrading (10 stars, last pushed 4d ago), licensed MIT. It adds 41 tokens to every session and 2,975 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to sentiment-analysis, differing in 0 lines, and is treated as a copy.
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