/finance-sentiment

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:**

!`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:

export ADANOS_API_KEY="sk_live_..."

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

Base docs:

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

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=NVDA&days=7" \
  -H "X-API-Key: $ADANOS_API_KEY"

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

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

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:

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.