MarketPulse

What This Skill Does

MarketPulse provides OpenClaw agents with comprehensive, real-time, and historical financial market data. By integrating with the AIsa data engine, the skill offers a unified API for equities and cryptocurrencies. It enables agents to pull precise price history across various timeframes, retrieve detailed company financial statements (Income, Balance Sheet, Cash Flow), monitor market-moving news, and pull real-time financial metrics. Whether you are building a quantitative trading assistant, an automated research agent, or a personal financial dashboard, MarketPulse handles the heavy lifting of data aggregation.

Installation

To integrate MarketPulse into your agent workflow, use the OpenClaw command-line interface. Run the following command in your terminal:

clawhub install openclaw/skills/skills/aisapay/financial-data

Ensure you have your AISA_API_KEY set in your environment variables to authenticate requests:

export AISA_API_KEY="your-key"

Use Cases

• Automated Portfolio Monitoring: Track price fluctuations for both traditional stocks like AAPL and digital assets like BTC in one unified view.
• Investment Research & Due Diligence: Automatically pull SEC filings, insider trading data, and analyst estimates to support investment hypotheses.
• Market Screening: Scan the market for specific technical or fundamental criteria, such as finding stocks with low P/E ratios and specific revenue growth benchmarks.
• Earnings Analysis: Automatically fetch post-earnings reports and analyze price movement reactions immediately after the data is released.

Example Prompts

1. "What are the current price trends for BTC, ETH, and SOL, and how do they compare over the last 30 days?"
2. "Analyze NVDA's most recent earnings report and summarize the key takeaway for an institutional investor."
3. "Find all stocks in the tech sector with a P/E ratio under 15 and revenue growth exceeding 20% over the last fiscal year."

Tips & Limitations

• Interval Precision: When querying price data, ensure the interval_multiplier is appropriate for your interval. For example, a 5-minute interval requires a multiplier of 5 to align with standard exchange data feeds.
• Rate Limiting: Note that frequent polling for real-time data may be subject to API rate limits; implement caching in your agent logic to optimize performance.
• Data Integrity: Historical data is retrieved directly from official exchanges; however, always verify critical financial decisions against primary sources such as official SEC filings.