us-stock-analyst
Professional US stock analysis with financial data, news, social sentiment, and multi-model AI. Comprehensive reports at $0.02-0.10 per analysis.
About this skill
The US Stock Analyst skill provides professional equity analysis powered by AIsa's unified API platform. It integrates financial data, news, social sentiment, and multi-model AI to offer complete market intelligence. Users gain access to AI-powered insights for informed decision-making in the US stock market. This skill enables a wide range of analytical tasks, from deep dives into individual stocks like NVIDIA (NVDA) and Tesla (TSLA) to comprehensive portfolio monitoring and competitor analysis. It can also screen for stocks based on specific financial criteria, helping users discover new investment opportunities. The underlying core capabilities utilize MarketPulse APIs to fetch real-time financial metrics and historical stock prices. By abstracting complex data retrieval and analysis into simple commands, this skill empowers AI agents to generate detailed reports at an estimated cost of $0.02-$0.10 per analysis. It streamlines the investment research process, making sophisticated market intelligence accessible and actionable.
Best use case
This skill is primarily for investors, financial analysts, and researchers who require in-depth, AI-powered insights into the US stock market. It's ideal for conducting detailed investment research, monitoring existing portfolios, performing earnings and competitor analysis, and efficiently screening for new stock opportunities based on specific criteria.
Professional US stock analysis with financial data, news, social sentiment, and multi-model AI. Comprehensive reports at $0.02-0.10 per analysis.
A detailed, AI-powered report or specific data points on US stocks, encompassing financial metrics, news sentiment, valuations, and other market intelligence.
Practical example
Example input
Analyze NVDA: financial metrics, analyst estimates, insider trades, news sentiment, and AI-powered valuation
Example output
A comprehensive report on NVDA, including its current market cap, P/E ratio, revenue, EPS, profit margin, insider trading activity, recent news sentiment analysis, and an AI-powered valuation assessment.
When to use this skill
- When needing comprehensive financial, news, and sentiment analysis for US stocks.
- For monitoring daily updates on a specific stock or entire portfolio.
- To compare multiple companies on financials, growth, and valuation.
- When screening for investment opportunities based on custom criteria.
When not to use this skill
- When analyzing non-US stock markets (scope is US-specific).
- For tasks requiring direct stock trading or execution.
- If you do not have an AISA API key or are unwilling to incur per-analysis costs.
- For very quick, superficial market overviews without deep data.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/US Stock Analyst 0210v1/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How us-stock-analyst Compares
| Feature / Agent | us-stock-analyst | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | easy | N/A |
Frequently Asked Questions
What does this skill do?
Professional US stock analysis with financial data, news, social sentiment, and multi-model AI. Comprehensive reports at $0.02-0.10 per analysis.
How difficult is it to install?
The installation complexity is rated as easy. You can find the installation instructions above.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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
```bash
export AISA_API_KEY="your-key"
```
---
## Core Capabilities
### 📊 Financial Data (MarketPulse APIs)
**Real-time Financial Metrics**
```bash
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**
```bash
# 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**
```bash
# 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**
```bash
# 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**
```bash
# 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**
```bash
# 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**
```bash
# 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**
```bash
curl "https://api.aisa.one/apis/v1/financial/news?ticker=AAPL&limit=10" \
-H "Authorization: Bearer $AISA_API_KEY"
```
**Web Search (News & Articles)**
```bash
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**
```bash
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**
```bash
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)**
```bash
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)**
```bash
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
```bash
# Basic analysis
python3 {baseDir}/scripts/stock_analyst.py analyze --ticker AAPL
# Standard analysis with multiple models
python3 {baseDir}/scripts/stock_analyst.py analyze --ticker NVDA --depth standard --models gpt-4 claude-3-opus
# Deep analysis (all data sources)
python3 {baseDir}/scripts/stock_analyst.py analyze --ticker TSLA --depth deep
# Quick screening
python3 {baseDir}/scripts/stock_analyst.py analyze --ticker MSFT --depth quick
# Save report to file
python3 {baseDir}/scripts/stock_analyst.py analyze --ticker GOOGL --output report.json
```
---
## Analysis 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** | `/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
```json
{
"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: $0.01-0.04
```
---
## Use Cases
### 1. Investment Research
Screen and analyze stocks before investing:
```python
analyst.analyze_stock("NVDA", depth="deep")
```
### 2. Portfolio Monitoring
Daily updates on your holdings:
```python
for ticker in ["AAPL", "MSFT", "GOOGL"]:
report = analyst.analyze_stock(ticker, depth="quick")
```
### 3. Earnings Season
Comprehensive earnings analysis:
```python
analyst.analyze_stock("TSLA", depth="standard")
# Check estimates, actual results, guidance, reaction
```
### 4. Insider Tracking
Monitor insider activity:
```python
report = analyst.analyze_stock("META", depth="standard")
print(report['raw_data']['insider_trades'])
```
### 5. Sentiment Analysis
Track market perception:
```python
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
1. Sign up at [aisa.one](https://aisa.one)
2. Get your API key
3. Add credits (pay-as-you-go, minimum $5)
4. Set environment variable: `export AISA_API_KEY="your-key"`
5. 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.appRelated Skills
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