us-stock-analyst
Skill0 starsChanged 7 months agoMITView on GitHub
Professional US stock analysis with financial data, news, social sentiment, and multi-model AI. Comprehensive reports at $0.02-0.10 per analysis. Use when: the user needs market data, stock analysis, watchlists, or portfolio workflows.
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- Sends data out
2 other projects use a version of this, 2 of them edited.
Adopted by
Most recently taken up by
- AISA-skills/financial-data-skillsedited, first seen Nov 1, 2026
- Tgoldi/claude-skillsedited, first seen Oct 13, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 2
- AISA-skills/financial-data-skills★ 498% same
- Tgoldi/claude-skills★ 097% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 246
Every response includes usage.cost and usage.credits_remaining.
- Distinctive: line 379
Add credits (pay-as-you-go, minimum $5)
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
US Stock Analyst 📈
Professional equity analysis powered by AIsa's unified API platform.
One API key. Complete market intelligence. AI-powered insights.
🔥 What Can You Do?
Investment Research
"Analyze NVDA: financial metrics, analyst estimates, insider trades,
news sentiment, and AI-powered valuation"Portfolio Monitoring
"Track my portfolio (AAPL, MSFT, GOOGL): daily updates on metrics,
news, and sentiment changes"Earnings Analysis
"Full Tesla Q4 earnings analysis: results vs estimates, guidance,
price reaction, analyst updates"Competitor Analysis
"Compare AMD vs NVDA: financials, growth, valuation, market sentiment"Screening & Discovery
"Find tech stocks with P/E < 30, revenue growth > 20%,
and positive insider activity"Quick Start
export AISA_API_KEY="your-key"Core Capabilities
📊 Financial Data (MarketPulse APIs)
Real-time Financial Metrics
curl "https://api.aisa.one/apis/v1/financial/financial-metrics/snapshot?ticker=AAPL" \
-H "Authorization: Bearer $AISA_API_KEY"Returns: Market cap, P/E ratio, revenue, EPS, profit margin, ROE, debt/equity, and more.
Historical Stock Prices
# Daily prices for last 30 days
curl "https://api.aisa.one/apis/v1/financial/prices?ticker=AAPL&start_date=2025-01-01&end_date=2025-01-31&interval=day&interval_multiplier=1" \
-H "Authorization: Bearer $AISA_API_KEY"
# 5-minute intraday data
curl "https://api.aisa.one/apis/v1/financial/prices?ticker=AAPL&start_date=2025-02-07&end_date=2025-02-07&interval=minute&interval_multiplier=5" \
-H "Authorization: Bearer $AISA_API_KEY"Financial Statements
# All statements (income, balance, cash flow)
curl "https://api.aisa.one/apis/v1/financial/financial_statements/all?ticker=AAPL" \
-H "Authorization: Bearer $AISA_API_KEY"Analyst Estimates
# EPS forecasts and ratings
curl "https://api.aisa.one/apis/v1/financial/analyst/eps?ticker=AAPL&period=annual" \
-H "Authorization: Bearer $AISA_API_KEY"Insider Trading
# Track insider buy/sell activity
curl "https://api.aisa.one/apis/v1/financial/insider/trades?ticker=AAPL" \
-H "Authorization: Bearer $AISA_API_KEY"Institutional Ownership
# See who owns the stock
curl "https://api.aisa.one/apis/v1/financial/institutional/ownership?ticker=AAPL" \
-H "Authorization: Bearer $AISA_API_KEY"SEC Filings
# Access 10-K, 10-Q, 8-K filings
curl "https://api.aisa.one/apis/v1/financial/sec/filings?ticker=AAPL" \
-H "Authorization: Bearer $AISA_API_KEY"📰 News & Research
Company News
curl "https://api.aisa.one/apis/v1/financial/news?ticker=AAPL&limit=10" \
-H "Authorization: Bearer $AISA_API_KEY"Web Search (News & Articles)
curl -X POST "https://api.aisa.one/apis/v1/scholar/search/web?query=AAPL+stock+analysis&max_num_results=10" \
-H "Authorization: Bearer $AISA_API_KEY"Academic Research
curl -X POST "https://api.aisa.one/apis/v1/scholar/search/scholar?query=semiconductor+industry+analysis&max_num_results=5" \
-H "Authorization: Bearer $AISA_API_KEY"🐦 Social Sentiment
Twitter Search
curl "https://api.aisa.one/apis/v1/twitter/tweet/advanced_search?query=\$AAPL&queryType=Latest" \
-H "Authorization: Bearer $AISA_API_KEY"📺 Video Content
YouTube Search (Earnings Calls, Analysis)
curl "https://api.aisa.one/apis/v1/youtube/search?engine=youtube&q=AAPL+earnings+call&gl=us&hl=en" \
-H "Authorization: Bearer $AISA_API_KEY"🤖 AI Analysis (Multi-Model)
LLM Gateway (OpenAI Compatible)
curl -X POST "https://api.aisa.one/v1/chat/completions" \
-H "Authorization: Bearer $AISA_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-4",
"messages": [
{
"role": "system",
"content": "You are a professional equity analyst."
},
{
"role": "user",
"content": "Analyze Apple stock investment prospects"
}
],
"temperature": 0.3,
"max_tokens": 2000
}'Supported Models:
- GPT-4, GPT-4 Turbo (OpenAI)
- Claude 3 Opus, Sonnet, Haiku (Anthropic)
- Gemini 1.5 Pro, Ultra (Google)
- Qwen Max, Plus (Alibaba)
- DeepSeek V2 (DeepSeek)
- Grok (xAI)
Python Client
# Basic analysis
python3 scripts/stock_analyst.py analyze --ticker AAPL
# Standard analysis with multiple models
python3 scripts/stock_analyst.py analyze --ticker NVDA --depth standard --models gpt-4 claude-3-opus
# Deep analysis (all data sources)
python3 scripts/stock_analyst.py analyze --ticker TSLA --depth deep
# Quick screening
python3 scripts/stock_analyst.py analyze --ticker MSFT --depth quick
# Save report to file
python3 scripts/stock_analyst.py analyze --ticker GOOGL --output report.jsonAnalysis Depth Options
| Mode | Time | Cost | Data Sources |
| quick | ~10s | $0.01-0.02 | Metrics, News, Twitter, Basic AI |
| standard | ~20s | $0.02-0.05 | + Analyst Estimates, Insider Trades, YouTube |
| deep | ~30s | $0.05-0.10 | + Statements, Institutional, SEC, Research |
API Reference
| Category | Endpoint | Method | Cost |
| Financial Metrics | /financial/financial-metrics/snapshot | GET | $0.002 |
| Stock Prices | /financial/prices | GET | $0.001 |
| News | /financial/news | GET | $0.001 |
| Statements | /financial/financial_statements/* | GET | $0.002 |
| Analyst Estimates | /financial/analyst/eps | GET | $0.002 |
| Insider Trades | /financial/insider/trades | GET | $0.001 |
| Institutional | /financial/institutional/ownership | GET | $0.001 |
| SEC Filings | /financial/sec/filings | GET | $0.001 |
| Web Search | /scholar/search/web | POST | $0.001 |
| Scholar Search | /scholar/search/scholar | POST | $0.002 |
/twitter/tweet/advanced_search | GET | $0.0004 | |
| YouTube | /youtube/search | GET | $0.002 |
| LLM | /v1/chat/completions | POST | Token-based |
Every response includes usage.cost and usage.credits_remaining.
Example Output
{
"ticker": "NVDA",
"analysis_date": "2025-02-07T10:30:00Z",
"investment_summary": "NVIDIA maintains dominant position in AI chip market with strong data center revenue growth. Recent Blackwell launch positions company for continued expansion...",
"key_metrics": {
"market_cap": 1780500000000,
"pe_ratio": 68.5,
"revenue": 60922000000,
"revenue_growth": 1.26,
"profit_margin": 0.489,
"roe": 1.152
},
"sentiment_analysis": {
"sentiment": "bullish",
"confidence": "high",
"key_themes": ["AI dominance", "Data center growth", "Blackwell launch"],
"summary": "Overwhelmingly positive sentiment following Q4 earnings beat"
},
"valuation": {
"assessment": "fairly_valued",
"price_target_12m": 850.00,
"reasoning": "Premium valuation justified by AI market leadership and strong growth trajectory"
},
"data_sources": {
"Financial Metrics": "Available",
"Stock News": 10,
"Analyst Estimates": "Available",
"Insider Trades": 15,
"Twitter": "Available",
"YouTube": 5
}
}Pricing
Analysis Costs:
- Quick: $0.01-0.02 per stock
- Standard: $0.02-0.05 per stock
- Deep: $0.05-0.10 per stock
Comparison:
- Bloomberg Terminal: $2,000/month
- FactSet: $1,000/month
- Traditional Analyst Report: $50-500 each
- AIsa Stock Analyst: $0.02-0.10 each ✨
Cost Breakdown:
Standard Analysis ($0.02-0.05):
├── Financial Metrics: $0.002
├── Stock Prices: $0.001
├── Company News: $0.001
├── Analyst Estimates: $0.002
├── Insider Trades: $0.001
├── Twitter: $0.0004
├── YouTube: $0.002
└── LLM Analysis: $0.01-0.04Use Cases
1. Investment Research
Screen and analyze stocks before investing:
analyst.analyze_stock("NVDA", depth="deep")2. Portfolio Monitoring
Daily updates on your holdings:
for ticker in ["AAPL", "MSFT", "GOOGL"]:
report = analyst.analyze_stock(ticker, depth="quick")3. Earnings Season
Comprehensive earnings analysis:
analyst.analyze_stock("TSLA", depth="standard")
# Check estimates, actual results, guidance, reaction4. Insider Tracking
Monitor insider activity:
report = analyst.analyze_stock("META", depth="standard")
print(report['raw_data']['insider_trades'])5. Sentiment Analysis
Track market perception:
report = analyst.analyze_stock("COIN", depth="standard")
print(report['sentiment_analysis'])Compliance
Disclaimer (Always Included):
This analysis is for informational purposes only and should not be considered personalized investment advice. Please conduct your own research and consult with licensed financial advisors before making investment decisions.
Regulatory Compliance:
- SEC Rule 15c2-1 (not investment advice)
- FINRA regulations (informational only)
- GDPR data privacy compliant
Get Started
- Sign up at aisa.one
- Get your API key
- Add credits (pay-as-you-go, minimum $5)
- Set environment variable:
export AISA_API_KEY="your-key" - Run analysis:
python scripts/stock_analyst.py analyze --ticker AAPL
Full API Documentation
- API Reference: https://aisa.mintlify.app/api-reference/introduction
- Complete Docs: https://aisa.mintlify.app/llms.txt
- Support: support@aisa.one
- Discord: https://discord.gg/aisa
About AIsa
AIsa - Unified API infrastructure for AI agents.
Single API Key. Pay-Per-Use. Agent-Native.
- Website: https://aisa.one
- Documentation: https://aisa.mintlify.app
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