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MarketPulse

Query real-time and historical financial data across equities and crypto—prices, market moves, metrics, and trends for analysis, alerts, and reporting.

Why use this skill?

Install MarketPulse to query real-time stock prices, crypto trends, and financial statements. Automate your investment research and portfolio tracking in OpenClaw.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/dexiaong/marketpulsehf
Or

What This Skill Does

The MarketPulse skill acts as a comprehensive financial data engine for OpenClaw agents. It integrates high-fidelity, real-time and historical data feeds across both traditional equity markets and volatile cryptocurrency ecosystems. By leveraging the AIsa API, the skill provides agents with the ability to retrieve granular pricing bars (second to year), fundamental financial statements (income, balance, cash flow), real-time financial metrics, and corporate news sentiment. It eliminates the need for fragmented data sourcing by consolidating cross-asset market information into a single, unified interface for autonomous research, quantitative analysis, and automated reporting.

Installation

To integrate MarketPulse into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/dexiaong/marketpulsehf

Once installed, you must initialize your credentials to authorize data requests. Set your environment variable with your unique API key provided by AIsa:

export AISA_API_KEY="your_aisa_api_key_here"

Use Cases

MarketPulse is designed for financial automation tasks requiring speed and accuracy:

  1. Automated Quantitative Research: Agents can screen the entire market for specific fundamental criteria (e.g., P/E ratios and revenue growth) to identify potential investment opportunities without manual oversight.
  2. Portfolio Monitoring: Keep track of mixed-asset portfolios, aggregating performance metrics across volatile crypto assets like BTC or SOL alongside blue-chip stocks like AAPL or NVDA.
  3. Event-Driven Analysis: Automate the collection of earnings reports, SEC filings, and recent company news following specific market triggers, allowing the agent to provide rapid summaries of price reactions.
  4. Trend Identification: Analyze long-term historical price data to establish baselines or detect anomalies in asset performance.

Example Prompts

  1. "What is the 30-day price trend for BTC and SOL? Please include the last five days of volume data."
  2. "Perform a fundamental analysis on NVDA: show me their latest annual income statement and key growth metrics."
  3. "Search for stocks in the tech sector where the P/E ratio is under 15 and revenue growth has exceeded 20% in the last year."

Tips & Limitations

  • Interval Precision: When querying intraday data, ensure your interval_multiplier accurately reflects your strategy needs; keep in mind that high-frequency data (minute-level) consumes more API resources.
  • Data Latency: While providing near real-time data, ensure that critical trading decisions account for unavoidable network latency inherent in external API requests.
  • Rate Limiting: Monitor your AIsa API key usage to avoid exceeding rate limits, which may temporarily suspend data access for your agent.
  • Scope: This skill is strictly for data retrieval and research; it does not execute live trades on brokerage platforms.

Metadata

Author@dexiaong
Stars1100
Views0
Updated2026-02-17
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-dexiaong-marketpulsehf": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#finance#crypto#stocks#market-data#analysis
Safety Score: 4/5

Flags: external-api