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finance-sentiment

Fetch normalized stock sentiment across Reddit, X.com, financial news, and Polymarket from the Adanos Finance API: buzz score, bullish percentage, mention or trade counts, and trend. Use this skill whenever the user asks how much a stock is being discussed or how hot it is on social platforms, how many Reddit mentions or Polymarket bets a company has, whether Reddit, X, and news agree, or wants to compare stock buzz and sentiment across tickers. Read-only: it never places trades or modifies anything.

AI 与智能体3.4kplugins/data-providers/skills/finance-sentiment/SKILL.md

安装

把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性,你确认后才安装。

读取 https://funcoding.ai/skills/himself65/finance-skills/finance-sentiment/install.md ,按里面的步骤帮我安装这个 Skill。

SKILL.md

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 RequestEndpoint PatternNotes
"How much are Reddit users talking about TSLA?"/reddit/stocks/v1/compareUse mentions, buzz_score, bullish_pct, trend
"How hot is NVDA on X.com?"/x/stocks/v1/compareUse mentions, buzz_score, bullish_pct, trend
"How many Polymarket bets are active on Microsoft?"/polymarket/stocks/v1/compareUse trade_count, buzz_score, bullish_pct, trend
"Compare sentiment on AMD vs NVDA"compare endpoints for the requested sourcesBatch tickers in one request
"Is Reddit aligned with X on META?"Reddit compare + X compareCompare bullish_pct, buzz_score, trend
"Give me a full sentiment snapshot for TSLA"compare endpoints across Reddit, X.com, news, PolymarketSynthesize cross-source view
"Go deeper on one ticker"/stock/{ticker} detail endpointUse 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.

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