Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
US Stock Analyst by leading AI LLM models with Bloomberg Data, Twitter Sentiment and Wall Street Equity Research Reports
Professional US stock analysis with financial data, news, social sentiment, and multi-model AI. Comprehensive reports at $0.02-0.10 per analysis.
skill openclawclawhub Free
Professional US stock analysis with financial data, news, social sentiment, and multi-model AI. Comprehensive reports at $0.02-0.10 per analysis.
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- US Stock Analyst 0210v1/test_api_data.py, US Stock Analyst 0210v1/US_STOCK_CLAWHUB_RELEASE.md, US Stock Analyst 0210v1/requirements.txt, US Stock Analyst 0210v1/basic_analysis.py, US Stock Analyst 0210v1/README.md, US Stock Analyst 0210v1/stock_analyst.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- 0xjordansg-yolo
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
US Stock Analyst ๐
Professional equity analysis powered by AIsa's unified API platform. One API key. Complete market intelligence. AI-powered insights.
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"
๐ 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"
๐ฐ 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"
๐ฆ 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"
๐บ 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"
๐ค 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 {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
ModeTimeCostData Sourcesquick~10s$0.01-0.02Metrics, News, Twitter, Basic AIstandard~20s$0.02-0.05+ Analyst Estimates, Insider Trades, YouTubedeep~30s$0.05-0.10+ Statements, Institutional, SEC, Research
API Reference
CategoryEndpointMethodCostFinancial Metrics/financial/financial-metrics/snapshotGET$0.002Stock Prices/financial/pricesGET$0.001News/financial/newsGET$0.001Statements/financial/financial_statements/*GET$0.002Analyst Estimates/financial/analyst/epsGET$0.002Insider Trades/financial/insider/tradesGET$0.001Institutional/financial/institutional/ownershipGET$0.001SEC Filings/financial/sec/filingsGET$0.001Web Search/scholar/search/webPOST$0.001Scholar Search/scholar/search/scholarPOST$0.002Twitter/twitter/tweet/advanced_searchGET$0.0004YouTube/youtube/searchGET$0.002LLM/v1/chat/completionsPOSTToken-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 โจ Cost Breakdown: Standard Analysis ($0.02-0.05): โโโ Financial Metrics: $0.002 โโโ Stock Prices: $0.001 โโโ Company News: $0.001 โโโ Analyst Estimates: $0.002 โโโ Insider Trades: $0.001 โโโ Twitter: $0.0004 โโโ YouTube: $0.002 โโโ LLM Analysis: $0.01-0.04
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, reaction
4. 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
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Scripts2 Docs1 Files
- US Stock Analyst 0210v1/README.md
- US Stock Analyst 0210v1/US_STOCK_CLAWHUB_RELEASE.md
- US Stock Analyst 0210v1/basic_analysis.py
- US Stock Analyst 0210v1/stock_analyst.py
- US Stock Analyst 0210v1/test_api_data.py
- US Stock Analyst 0210v1/requirements.txt