OpenClaw Skill

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.

Install

$npx clawhub@latest install openclaw-aisa-us-stock-analyst

View on GitHubv1.0.1

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Active installs5

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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

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

Created by

@0xjordansg-yolo

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