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Sentiment Analysis | Skills Pool

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Sentiment Analysis

Aggregate and analyze news sentiment for a stock symbol

HuskyDanny0 스타2026. 2. 11.

직업: 소프트웨어 개발자
카테고리: 데이터 분석

스킬 내용

Sentiment Analysis Workflow

OBJECTIVE: Determine overall news sentiment and key themes for the symbol.

Step 1: Gather Recent News

Use get_news_sentiment with max_results=10
Focus on news from the past 7 days

Step 2: Classify Each Item

For each news item, classify as:

POSITIVE: Bullish news (earnings beat, upgrades, product launches)
NEGATIVE: Bearish news (misses, downgrades, lawsuits, delays)
NEUTRAL: Informational without clear sentiment

Step 3: Calculate Aggregate Score

Count: X positive, Y negative, Z neutral
Score = (positive - negative) / total
Score > 0.3: BULLISH sentiment
Score < -0.3: BEARISH sentiment
Otherwise: MIXED sentiment

Step 4: Identify Themes

관련 스킬

빠른 설치

Sentiment Analysis

npx skillvault add HuskyDanny/huskydanny-financialagent-backend-src-agent-skills-news-sentiment-analysis-skill-md

Skill 다운로드 저장소 열기

작성자: HuskyDanny
스타: 0
업데이트: 2026. 2. 11.
직업

이 페이지의 내용

01Sentiment Analysis Workflow

What topics appear repeatedly?
Any developing narratives?
Institutional vs retail focus?

Output Format

Sentiment Score: [+X.XX or -X.XX] -> [BULLISH/BEARISH/MIXED] Distribution: {positive} positive, {negative} negative, {neutral} neutral Key Themes:

[Theme 1 with example headline]
[Theme 2 with example headline] Dominant Narrative: [Summary of overall story]

02

Step 1: Gather Recent News

03Step 2: Classify Each Item

04Step 3: Calculate Aggregate Score

05Step 4: Identify Themes

06Output Format

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