OpenAgentSkill Registry Manifest
Skill: Stock Market Sentiment Analysis
Slug: gandalf1819-stock-market-sentiment-analysis
Category: finance
Description: Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka

Agent fit:
- Decision: 38/100 Needs manual review
- Primary fit: Finance and quant
- Role: Needs validation

Supply profile:
- Track: Finance and quant workflows
- Scenario: Finance and quant
- Applicable agents: Claude Code, CLI, Codex, Cursor, R
- Maintenance: 6y since push
- Risk: Needs review

Trust:
- Trust score: 72/100 Strong shortlist
- Audit: 63/100 Needs review

Attribution:
- Status: Community indexed
- Source: GitHub star discovery
- Creator: gandalf1819
- Claim URL: https://www.openagentskill.com/skills/gandalf1819-stock-market-sentiment-analysis#claim-this-skill

Install:
npx skills add gandalf1819/Stock-Market-Sentiment-Analysis

URLs:
- Web: https://www.openagentskill.com/skills/gandalf1819-stock-market-sentiment-analysis
- API: https://www.openagentskill.com/api/agent/skills/gandalf1819-stock-market-sentiment-analysis
- Install API: https://www.openagentskill.com/api/skills/gandalf1819-stock-market-sentiment-analysis/install
- Repository: https://github.com/gandalf1819/Stock-Market-Sentiment-Analysis