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himself65 on GitHub

Finance Sentiment

Free

Analyze stock sentiment from multiple social sources.

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Free · Opens the source repo

What Finance Sentiment does

The Finance Sentiment skill enables users to fetch structured sentiment data regarding stocks from various social platforms, including Reddit, X.com, news sources, and Polymarket. Utilizing the Adanos Finance API, this skill provides insights into how much discussion a particular stock is generating, how it is perceived across different platforms, and enables comparisons between multiple tickers. This is particularly useful for researchers, analysts, and traders who need a quick overview of market sentiment without wading through raw social media data.

When a user queries about stock sentiment, the skill translates these requests into API calls that retrieve relevant sentiment metrics like buzz scores, bullish percentages, and trade counts. It is designed to answer questions such as "How hot is TSLA on Reddit?" or "Compare sentiment on AAPL versus MSFT," making it an efficient tool for those looking to gauge market sentiment quickly. The skill is read-only, ensuring that it does not interfere with trading activities or provide direct trading advice, which helps maintain a focus on research and analysis.

This skill is particularly beneficial for developers and analysts who require a reliable method to synthesize sentiment data from multiple sources. By providing a structured output, it allows users to easily understand market trends and sentiment shifts over time. Whether you are looking to track the buzz around a specific stock or compare the sentiment of several tickers, the Finance Sentiment skill streamlines the process of gathering and interpreting this data.

Overall, this skill is an essential addition for anyone involved in stock market analysis, providing quick access to sentiment data that can inform investment decisions or research projects.

When to use it

Use this skill when you need to analyze stock sentiment across various platforms or compare multiple tickers.

When not to use it

Do not use this skill for executing trades or for real-time trading decisions, as it is strictly read-only.

What you can build with it

Analyze Reddit Sentiment

Fetch and analyze the sentiment for a specific stock on Reddit to understand public perception.

Compare Multiple Stocks

Use the skill to compare sentiment metrics across several tickers to identify trends.

Monitor Market Buzz

Quickly retrieve buzz scores and bullish percentages to gauge overall market interest in a stock.

How to install Finance Sentiment

View source

1. Install with the skills CLI

npx skills add himself65/finance-skills/finance-sentiment --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by himself65

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.

Frequently asked questions about Finance Sentiment

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