openclaw-aisa-us-stock-analystProfessional US stock analysis with financial data, news, social sentiment, and multi-model AI. Comprehensive reports at $0.02-0.10 per analysis.
Install via ClawdBot CLI:
clawdbot install 0xjordansg-yolo/openclaw-aisa-us-stock-analystProfessional equity analysis powered by AIsa's unified API platform.
One API key. Complete market intelligence. AI-powered insights.
"Analyze NVDA: financial metrics, analyst estimates, insider trades,
news sentiment, and AI-powered valuation""Track my portfolio (AAPL, MSFT, GOOGL): daily updates on metrics,
news, and sentiment changes""Full Tesla Q4 earnings analysis: results vs estimates, guidance,
price reaction, analyst updates""Compare AMD vs NVDA: financials, growth, valuation, market sentiment""Find tech stocks with P/E < 30, revenue growth > 20%,
and positive insider activity"export AISA_API_KEY="your-key"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"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"Twitter Search
curl "https://api.aisa.one/apis/v1/twitter/tweet/advanced_search?query=\$AAPL&queryType=Latest" \
-H "Authorization: Bearer $AISA_API_KEY"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"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:
# 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| 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 |
| 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.
{
"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
}
}Analysis Costs:
Comparison:
Cost Breakdown:
Standard Analysis ($0.02-0.05):
āāā Financial Metrics: $0.002
āāā Stock Prices: $0.001
āāā Company News: $0.001
āāā Analyst Estimates: $0.002
āāā Insider Trades: $0.001
āāā Twitter: $0.0004
āāā YouTube: $0.002
āāā LLM Analysis: $0.01-0.04Screen and analyze stocks before investing:
analyst.analyze_stock("NVDA", depth="deep")Daily updates on your holdings:
for ticker in ["AAPL", "MSFT", "GOOGL"]:
report = analyst.analyze_stock(ticker, depth="quick")Comprehensive earnings analysis:
analyst.analyze_stock("TSLA", depth="standard")
# Check estimates, actual results, guidance, reactionMonitor insider activity:
report = analyst.analyze_stock("META", depth="standard")
print(report['raw_data']['insider_trades'])Track market perception:
report = analyst.analyze_stock("COIN", depth="standard")
print(report['sentiment_analysis'])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:
export AISA_API_KEY="your-key"python scripts/stock_analyst.py analyze --ticker AAPLAIsa - Unified API infrastructure for AI agents.
Single API Key. Pay-Per-Use. Agent-Native.
Generated Mar 1, 2026
Individual investors can use this skill to analyze specific stocks like NVDA by accessing financial metrics, analyst estimates, insider trades, news sentiment, and AI-powered valuation reports. It helps them make informed decisions based on comprehensive data without needing multiple tools.
Financial advisors can track client portfolios (e.g., AAPL, MSFT, GOOGL) with daily updates on metrics, news, and sentiment changes. This enables proactive management and timely recommendations based on real-time market intelligence.
Equity analysts can perform full earnings analyses, such as for Tesla Q4, comparing results vs estimates, guidance, price reactions, and analyst updates. This streamlines research workflows and enhances report accuracy with multi-model AI insights.
Corporate strategy teams can compare companies like AMD vs NVDA by evaluating financials, growth, valuation, and market sentiment. This supports strategic planning and competitive positioning in fast-moving industries like technology.
Hedge funds can screen for stocks meeting specific criteria, such as P/E < 30, revenue growth > 20%, and positive insider activity. This aids in identifying investment opportunities quickly using integrated data sources and AI models.
Monetize access to the unified API platform with tiered pricing based on analysis depth (quick, standard, deep) and per-request costs (e.g., $0.002 per financial metrics call). This model targets developers and businesses needing scalable, pay-per-use financial data.
Offer subscription plans for regular users, such as individual investors or small firms, providing unlimited access to basic features or capped API calls. This ensures recurring revenue and customer retention through consistent value delivery.
License the skill and API to financial institutions or fintech companies for integration into their own platforms. This includes custom branding and tailored data feeds, generating revenue through licensing fees and partnership agreements.
š¬ Integration Tip
Ensure the AISA_API_KEY is securely set as an environment variable and use the provided Python client for easier automation, especially for batch analyses or scheduled portfolio updates.
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