Claude Skill

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 soc

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Download himself65-finance-skills-plugins_data-providers_skills_finance-sentiment-73d554d.zip · 4 KB

Install

skills CLI npx skills add https://github.com/himself65/finance-skills/tree/main/plugins/data-providers/skills/finance-sentiment
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install himself65-finance-skills@llmmart
Git git clone https://github.com/himself65/finance-skills.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole himself65/finance-skills collection as a plugin from our marketplace. Git is the plain clone.

README

finance-sentiment

Structured stock sentiment research using the Adanos Finance API.

What it does

Fetches normalized stock sentiment signals across:

  • Reddit - buzz, bullish percentage, mentions, trend
  • X.com - buzz, bullish percentage, mentions, trend
  • News - buzz, bullish percentage, mentions, trend
  • Polymarket - buzz, bullish percentage, trades, trend

This skill is useful when a user wants fast answers such as:

  • "How much are Reddit users talking about TSLA right now?"
  • "How hot is NVDA on X.com this week?"
  • "How many Polymarket bets are active on Microsoft right now?"
  • "Are Reddit and X aligned on META?"
  • "Compare social sentiment on AMD vs NVDA"

This skill is read-only. It only fetches sentiment data for research.

Triggers

  • "social sentiment on TSLA"
  • "stock buzz"
  • "how hot is X stock on X.com"
  • "how many Reddit mentions does AAPL have"
  • "how many Polymarket bets on Microsoft"
  • "compare sentiment on AMD vs NVDA"
  • "is Reddit aligned with X on META"

Prerequisites

  • ADANOS_API_KEY must be set in the environment
  • curl available in the shell

Platform

Works on all platforms that support shell commands and outbound HTTP requests.

Setup

# Choose finance-data-providers when prompted.
npx plugins add himself65/finance-skills

# Or install just this skill
npx skills add himself65/finance-skills --skill finance-sentiment

See the main README for more installation options.

Reference files

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

Skill manifest

Finance Sentiment Skill

If your host has not already executed the shell probes below (for example, in Codex), run the commands inside the ! wrappers with its shell tool before choosing a setup path. Use the actual output; if shell access is unavailable, report that limitation.

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.

Files (finance-skills)
  • references
    • api_reference.md 2.5 KB
      Loading…
  • README.md 1.6 KB
    # finance-sentiment
    
    Structured stock sentiment research using the Adanos Finance API.
    
    ## What it does
    
    Fetches normalized stock sentiment signals across:
    
    - **Reddit** - buzz, bullish percentage, mentions, trend
    - **X.com** - buzz, bullish percentage, mentions, trend
    - **News** - buzz, bullish percentage, mentions, trend
    - **Polymarket** - buzz, bullish percentage, trades, trend
    
    This skill is useful when a user wants fast answers such as:
    
    - "How much are Reddit users talking about TSLA right now?"
    - "How hot is NVDA on X.com this week?"
    - "How many Polymarket bets are active on Microsoft right now?"
    - "Are Reddit and X aligned on META?"
    - "Compare social sentiment on AMD vs NVDA"
    
    **This skill is read-only.** It only fetches sentiment data for research.
    
    ## Triggers
    
    - "social sentiment on TSLA"
    - "stock buzz"
    - "how hot is X stock on X.com"
    - "how many Reddit mentions does AAPL have"
    - "how many Polymarket bets on Microsoft"
    - "compare sentiment on AMD vs NVDA"
    - "is Reddit aligned with X on META"
    
    ## Prerequisites
    
    - `ADANOS_API_KEY` must be set in the environment
    - `curl` available in the shell
    
    ## Platform
    
    Works on **all platforms** that support shell commands and outbound HTTP requests.
    
    ## Setup
    
    ```bash
    # Choose finance-data-providers when prompted.
    npx plugins add himself65/finance-skills
    
    # Or install just this skill
    npx skills add himself65/finance-skills --skill finance-sentiment
    ```
    
    See the [main README](../../../../README.md) for more installation options.
    
    ## Reference files
    
    - `references/api_reference.md` - endpoint guide, field meanings, and example workflows
    
  • SKILL.md 5.3 KB
    ---
    name: finance-sentiment
    description: >
      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.
    ---
    
    # Finance Sentiment Skill
    
    If your host has not already executed the shell probes below (for example, in Codex), run the commands inside the `!` wrappers with its shell tool before choosing a setup path. Use the actual output; if shell access is unavailable, report that limitation.
    
    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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