finance-sentiment

分类: 商业与运营 | 上传者: himself65 | 下载: 0 | 版本: v1.0（最新）

使用 Adanos Finance API 获取 Reddit、X.com、新闻和 Polymarket 上的结构化股票情绪。每当用户询问有多少人在谈论一只股票、某个股票在社交平台上有多热门、一家公司有多少 Polymarket 赌注、消息来源是否一致，或者比较多个股票的股票情绪时，请使用此技能。触发因素包括：“TSLA 的社会情绪”、“X.com 上的 NVDA 有多热”、“Apple 有多少次 Reddit 提及”、“比较 AMD 与 NVDA 的情绪”、“Polymarket 对微软的押注有多少”、“Reddit 是否与 META 上的 X 保持一致”、“股票热潮”、“看涨百分比”以及任何提及的跨源股票情绪研究。该技能是只读的，不会进行交易或修改任何内容。 --- # 金融情绪技能从 Adanos 金融 API 获取结构化股票情绪。该技能是只读的。它专为研究问题而设计，这些问题使用标准化情绪信号比使用原始社交信息更容易回答。

更新日志: Source: GitHub https://github.com/himself65/finance-skills

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📁 references/
- 📄 api_reference.md 2.5 KB
📄 README.md 1.6 KB
📄 SKILL.md 5.3 KB

SKILL.md

---
name: finance-sentiment
description: >
  Fetch structured stock sentiment across Reddit, X.com, news, and Polymarket
  using the Adanos Finance API. Use this skill whenever the user asks how much
  people are talking about a stock, how hot a ticker is on social platforms,
  how many Polymarket bets exist for a company, whether sources are aligned, or
  to compare stock sentiment across multiple tickers. Triggers include:
  "social sentiment on TSLA", "how hot is NVDA on X.com", "how many Reddit
  mentions does AAPL have", "compare sentiment on AMD vs NVDA", "how many
  Polymarket bets on Microsoft", "is Reddit aligned with X on META", "stock
  buzz", "bullish percentage", and any mention of cross-source stock sentiment
  research. This skill is READ-ONLY and does not place trades or modify
  anything.
---

# Finance Sentiment Skill

Fetches structured stock sentiment from the Adanos Finance API.

This skill is read-only. It is designed for research questions that are easier to answer with normalized sentiment signals than with raw social feeds.

Use it when the user wants:
- cross-source stock sentiment
- Reddit/X.com/news/Polymarket comparisons
- buzz, bullish percentage, mentions, trades, or trend
- a quick answer to "what is the market talking about?"

---

## Step 1: Ensure the API Key Is Available

**Current environment status:**

```bash
!`python3 - <<'PY'
import os
print("ADANOS_API_KEY_SET" if os.getenv("ADANOS_API_KEY") else "ADANOS_API_KEY_MISSING")
PY`
```

If `ADANOS_API_KEY_MISSING`, ask the user to set:

```bash
export ADANOS_API_KEY="sk_live_..."
```

Use the key via the `X-API-Key` header on all requests.

Base docs:

```text
https://api.adanos.org/docs
```

---

## Step 2: Identify What the User Needs

Match the request to the lightest endpoint that answers it.

| User Request | Endpoint Pattern | Notes |
|---|---|---|
| "How much are Reddit users talking about TSLA?" | `/reddit/stocks/v1/compare` | Use `mentions`, `buzz_score`, `bullish_pct`, `trend` |
| "How hot is NVDA on X.com?" | `/x/stocks/v1/compare` | Use `mentions`, `buzz_score`, `bullish_pct`, `trend` |
| "How many Polymarket bets are active on Microsoft?" | `/polymarket/stocks/v1/compare` | Use `trade_count`, `buzz_score`, `bullish_pct`, `trend` |
| "Compare sentiment on AMD vs NVDA" | compare endpoints for the requested sources | Batch tickers in one request |
| "Is Reddit aligned with X on META?" | Reddit compare + X compare | Compare `bullish_pct`, `buzz_score`, `trend` |
| "Give me a full sentiment snapshot for TSLA" | compare endpoints across Reddit, X.com, news, Polymarket | Synthesize cross-source view |
| "Go deeper on one ticker" | `/stock/{ticker}` detail endpoint | Use only when the user asks for expanded detail |

Default lookback:
- use `days=7` unless the user asks for another window

Ticker count:
- use compare endpoints for `1..10` tickers

---

## Step 3: Execute the Request

Use `curl` with `X-API-Key`. Prefer compare endpoints because they are compact and batch-friendly.

### Single-source examples

```bash
curl -s "https://api.adanos.org/reddit/stocks/v1/compare?tickers=TSLA&days=7" \
  -H "X-API-Key: $ADANOS_API_KEY"
```

```bash
curl -s "https://api.adanos.org/x/stocks/v1/compare?tickers=NVDA&days=7" \
  -H "X-API-Key: $ADANOS_API_KEY"
```

```bash
curl -s "https://api.adanos.org/polymarket/stocks/v1/compare?tickers=MSFT&days=7" \
  -H "X-API-Key: $ADANOS_API_KEY"
```

### Multi-source snapshot for one ticker

```bash
curl -s "https://api.adanos.org/reddit/stocks/v1/compare?tickers=TSLA&days=7" -H "X-API-Key: $ADANOS_API_KEY"
curl -s "https://api.adanos.org/x/stocks/v1/compare?tickers=TSLA&days=7" -H "X-API-Key: $ADANOS_API_KEY"
curl -s "https://api.adanos.org/news/stocks/v1/compare?tickers=TSLA&days=7" -H "X-API-Key: $ADANOS_API_KEY"
curl -s "https://api.adanos.org/polymarket/stocks/v1/compare?tickers=TSLA&days=7" -H "X-API-Key: $ADANOS_API_KEY"
```

### Multi-ticker comparison

```bash
curl -s "https://api.adanos.org/reddit/stocks/v1/compare?tickers=AMD,NVDA,META&days=7" \
  -H "X-API-Key: $ADANOS_API_KEY"
```

### Key rules

1. Prefer compare endpoints over stock detail endpoints for quick research.
2. Use only the sources needed to answer the question.
3. For Reddit, X.com, and news, the volume field is `mentions`.
4. For Polymarket, the activity field is `trade_count`.
5. Treat missing source data as "no data", not bearish or neutral.
6. Never execute trades or convert the result into trading instructions.

---

## Step 4: Present the Results

When reporting a single source, prioritize exactly these fields:
- Buzz
- Bullish %
- Mentions or Trades
- Trend

Example:

```text
TSLA on Reddit, last 7 days
- Buzz: 74.1/100
- Bullish: 31%
- Mentions: 647
- Trend: rising
```

When reporting multiple sources for one ticker:
- show one block per source
- then add a short synthesis:
  - aligned bullish
  - aligned bearish
  - mixed / diverging

When comparing multiple tickers:
- rank by the metric the user cares about
- default to `buzz_score`
- call out large gaps in `bullish_pct` or `trend`

Do not overstate precision. These are research signals, not trade instructions.

---

## Reference Files

- `references/api_reference.md` - endpoint guide, field meanings, and example workflows

Read the reference file when you need the exact field names, query parameters, or recommended answer patterns.

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finance-sentiment

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