📊 ETF Trends Analyzer — AI-Powered ETF Movement Explanations

Get instant, AI-powered explanations for ETF price movements | Analyze SPY, QQQ, VTI & 1000+ ETFs | Real-time news sentiment analysis | Perfect for investors, financial advisors, and market analysts

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📈 What is ETF Trends Analyzer?

ETF Trends Analyzer is an AI-powered web scraping tool that extracts and analyzes real-time ETF data from Google Finance, combining it with news sentiment analysis to explain why ETFs are moving.

Stop wondering why SPY is up or why QQQ is down. Get data-backed explanations for price movements in categories like Top Gainers, Top Losers, Most Active, and Trending ETFs.

⚡ Quick Start — 3 Simple Steps

1️⃣ Select Trend Category: Choose from Top Gainers, Top Losers, Most Active, or Trending ETFs
2️⃣ Set Number of ETFs: Pick how many top ETFs to analyze (1-25)
3️⃣ Get AI Explanations: Receive structured insights combining price data, volume analysis, and news sentiment

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🎯 Use Cases — Who Uses ETF Trends Analyzer?

Use Case	Description	Best For
🔍 Sector Rotation Analysis	Understand which sectors and themes are moving with AI-generated explanations backed by news analysis	Portfolio managers, financial advisors, sector analysts
📈 Market Trend Identification	Identify broad market trends and sentiment shifts by analyzing ETF movements across different asset classes	Market strategists, macro traders, asset allocators
📰 ETF News Monitoring	Automatically aggregate and analyze news sentiment for trending ETFs without manual research	Financial journalists, newsletter creators, ETF researchers
🤖 AI Training Data	Generate structured datasets combining ETF movements with explanatory text for ML model training	AI/ML researchers, fintech developers, quantitative analysts
📱 Investment App Integration	Power your investment app, robo-advisor, or dashboard with real-time ETF insights via API	Fintech developers, robo-advisor platforms, wealth tech startups
💼 Client Reporting	Generate data-driven explanations for why ETF holdings moved to share with clients	Financial advisors, wealth managers, RIAs
📊 Thematic Investing Research	Track performance of thematic ETFs (AI, clean energy, crypto, etc.) to identify emerging trends	Thematic investors, research analysts, trend followers

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✨ Key Features

✅ 4 Trend Categories: Top Gainers, Top Losers, Most Active, Trending ETFs
✅ AI-Powered Analysis: GPT-4 analyzes news articles to explain price movements
✅ Real-Time Data: Scrapes live ETF prices from Google Finance
✅ News Aggregation: Collects relevant news from WSJ, Bloomberg, Yahoo Finance, Seeking Alpha
✅ Structured Output: Get clean JSON data ready for integration into your apps
✅ Customizable Results: Analyze 1-25 ETFs per run
✅ Comprehensive Metrics: Price, volume, moving averages, returns, 52-week change
✅ API Ready: Easy integration via Apify API for automated workflows

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📤 Output Examples

Top Gainers — Why ETFs Are Rising

Discover the reasons behind today's biggest ETF winners

Example Output: Top Gainers

🏷 Symbol: SOXL

💲 Price: $45.23

📈 Change: +4.82 (+11.94%)

🔊 Volume: 89,420,000

📊 3-Month Return: +28.45%

📅 Year-to-Date Return: +62.18%

Reasons:

Semiconductor sector rally: Strong earnings from major chip manufacturers drove the 3x leveraged ETF higher.

AI boom continues: Renewed optimism about AI infrastructure spending boosted semiconductor stocks.

Supply chain improvements: Better-than-expected chip supply data increased investor confidence.

Technical breakout: The ETF surpassed key resistance levels, triggering momentum buying.

Institutional interest: Increased volume suggests strong institutional participation in the rally.

[
  {
	"module": "etfs",
	"view": "top-gainers",
	"entity": {
	  "symbol": "SOXL",
	  "name": "Direxion Daily Semiconductor Bull 3X Shares",
	  "price": 45.23,
	  "change": 4.82,
	  "changePercentual": 11.94,
	  "volume": 89420000,
	  "50DayAverage": 42.15,
	  "200DayAverage": 38.67,
	  "3MonthReturn": 28.45,
	  "yearToDateReturn": 62.18,
	  "52WeekChangePercentual": 45.32
	},
	"explanation": {
	  "reasons": [
		"Semiconductor sector rally driven by strong chip manufacturer earnings boosted the 3x leveraged ETF +11.94%.",
		"Renewed AI infrastructure spending optimism lifted semiconductor stocks across the board.",
		"Better-than-expected chip supply chain data increased investor confidence.",
		"Technical breakout above key resistance levels triggered momentum buying.",
		"High volume of 89.4M suggests strong institutional participation in the rally."
	  ]
	}
  },
  ...
]

Top Losers — Why ETFs Are Falling

Choose the Top Losers category to understand why certain ETFs are falling and what's driving market pessimism — whether it's sector rotation, regulatory concerns, or broader market trends.

Most Active — Unusual Volume Analysis

Analyze ETFs with the Most Active category to uncover unusual trading volumes and what's fueling the activity. High volume often indicates significant market events, rebalancing, or strategic positioning.

Trending ETFs — What's Buzzing

See what's buzzing across news and social platforms and why by selecting the Trending ETFs category. Get insights into ETFs that are capturing attention and driving discussions — from thematic ETFs to sector rotations.

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📥 Input Configuration

{
    "trendType": "top-gainers", // Options: top-gainers | top-losers | most-active | trending
    "etfsAmount": 10 // Number of ETFs to analyze (1-25)
}

Input Parameters:

• trendType (required): The trend category to analyze
  • top-gainers — ETFs with highest % gains
  • top-losers — ETFs with highest % losses
  • most-active — ETFs with highest trading volume
  • trending — ETFs trending in news and social media
• etfsAmount (required): Number of top ETFs to analyze (1-25)

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🔍 How It Works — The Technology

1. Real-Time Data Scraping

The actor scrapes live ETF data from Google Finance, extracting prices, volume, moving averages, returns, and performance metrics for top ETFs.

2. News Aggregation

For each ETF, we collect relevant news articles from Google News, pulling from trusted sources like:

• The Wall Street Journal — Financial news & analysis
• Bloomberg — Markets & economic coverage
• Yahoo Finance — ETF data & news
• Seeking Alpha — ETF research & analysis

3. AI Sentiment Analysis

Our GPT-4 powered AI analyzes news articles, identifying key events, sentiment shifts, sector trends, and market catalysts that explain the ETF's price movement.

4. Structured Output

Get clean, structured JSON data combining quantitative metrics with qualitative AI-generated explanations.

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📊 ETF Metrics Included

Metric	Description	Use Case
Symbol	ETF ticker symbol (e.g., SPY, QQQ, VTI)	Identification
Name	Full ETF name	Display & reporting
Price	Current ETF price in USD	Real-time valuation
Change	Absolute price change	Dollar movement tracking
Change %	Percentage price change	Relative performance
Volume	Current trading volume	Activity & liquidity measure
50-Day Average	50-day moving average price	Short-term trend indicator
200-Day Average	200-day moving average price	Long-term trend indicator
3-Month Return	Performance over last 3 months	Recent trend analysis
YTD Return	Year-to-date performance	Annual performance tracking
52-Week Change %	Annual performance	Long-term trend comparison

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🔗 Integration & API Usage

Run via Apify API

const { ApifyClient } = require('apify-client');

const client = new ApifyClient({
    token: 'YOUR_APIFY_TOKEN',
});

const input = {
    trendType: 'top-gainers',
    etfsAmount: 10,
};

const run = await client.actor('EgOZ1oLJ8uJWwXR5l').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();

console.log(items);

Python Integration

from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')

run_input = {
    "trendType": "most-active",
    "etfsAmount": 15
}

run = client.actor("EgOZ1oLJ8uJWwXR5l").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Schedule Automated Runs

Set up scheduled runs on Apify to get daily ETF analysis delivered automatically. Perfect for:

• Daily market reports for clients
• Automated sector rotation analysis
• Investment newsletter content
• Portfolio rebalancing signals

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💡 Why Choose ETF Trends Analyzer?

🎯 Save Time: No more manually researching why ETFs moved
🤖 AI-Powered: Leverages GPT-4 for intelligent news analysis
📊 Comprehensive: Combines quantitative data with qualitative insights
🔄 Automated: Run via API or schedule for automated workflows
💰 Cost-Effective: Pay only for what you use on Apify platform
🚀 Fast: Get results in seconds, not hours
📈 Actionable: Use insights for asset allocation, sector rotation, and client reporting

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❓ FAQ

Q: How often is the data updated?
A: The actor scrapes real-time data from Google Finance and Google News each time it runs, ensuring you always get the latest information.

Q: Can I analyze specific ETFs?
A: Currently, the actor focuses on trending categories (top gainers, losers, etc.). For specific ETFs, we recommend running multiple category searches or filtering results.

Q: What types of ETFs are covered?
A: The tool covers a wide range of ETFs including equity ETFs, bond ETFs, commodity ETFs, sector ETFs, thematic ETFs, leveraged/inverse ETFs, and international ETFs.

Q: What's the data format?
A: Output is provided in clean JSON format, compatible with any programming language and easily importable to databases, spreadsheets, or analytics tools.

Q: Is this financial advice?
A: No. This tool provides data and analysis to help you understand ETF movements, but it does not constitute financial advice or investment recommendations.

Q: Can I use this for commercial purposes?
A: Yes! You can integrate this into your investment platforms, robo-advisors, research tools, client reporting systems, or any commercial application.

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⚠️ Disclaimer

This tool is designed to help you understand ETF movements better, but it does not provide financial advice or investment recommendations. Always conduct your own research and consult with a qualified financial advisor before making any investment decisions.

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🆘 Support & Resources

• 📚 Apify Documentation
• 💬 Apify Discord Community
• 🐛 Report issues via Apify Console