Krikorios
48e60d015f
- Add advanced metrics dashboard with trade analytics - Add new trading components (EntryTypeAnalysis, MultiDayPositionTracker, NewsEventTracker, etc.) - Add strategy mode selector and trend confirmation - Add risk automation panel and slippage correlation analysis - Add daily trading plan enhancements with modal components - Add custom hooks (useApi, useLocalStorage, useAdvancedTradeMetrics) - Add broker service integration and trading API - Add test setup and vitest configuration - Include parquet data files for live market data - Add comprehensive documentation in docs/ folder
115 lines
4.2 KiB
Python
115 lines
4.2 KiB
Python
"""
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Web search integration for fetching real-time gold market news.
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This module provides functionality to search for recent gold market news
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using various search APIs. Currently supports:
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- DuckDuckGo search (free, no API key required)
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- Extensible for Tavily, SerpAPI, or other providers
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"""
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import httpx
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import json
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from typing import List, Dict, Optional
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from datetime import datetime, timedelta
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class NewsSearchService:
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"""Service for fetching recent gold market news from the web."""
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def __init__(self):
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self.timeout = 10.0
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async def search_gold_news(self, query: str = "gold price XAU/USD", max_results: int = 5) -> List[Dict]:
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"""
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Search for recent gold market news.
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Args:
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query: Search query (default: "gold price XAU/USD")
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max_results: Maximum number of results to return
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Returns:
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List of news articles with title, snippet, url, and date
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"""
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try:
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# Use DuckDuckGo Instant Answer API (free, no key required)
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async with httpx.AsyncClient(timeout=self.timeout) as client:
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response = await client.get(
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"https://api.duckduckgo.com/",
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params={
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"q": query,
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"format": "json",
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"no_html": 1,
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"skip_disambig": 1,
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}
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)
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if response.status_code == 200:
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data = response.json()
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results = []
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# Extract related topics (news items)
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related_topics = data.get("RelatedTopics", [])
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for topic in related_topics[:max_results]:
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if isinstance(topic, dict) and "Text" in topic:
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results.append({
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"title": topic.get("Text", "")[:100],
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"snippet": topic.get("Text", ""),
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"url": topic.get("FirstURL", ""),
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"source": "DuckDuckGo",
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"date": datetime.now().isoformat()
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})
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return results
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except Exception as e:
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print(f"News search error: {e}")
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# Return fallback generic news context
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return self._get_fallback_news()
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def _get_fallback_news(self) -> List[Dict]:
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"""Return generic gold market context when search fails."""
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return [
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{
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"title": "Gold Market Overview",
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"snippet": "Gold prices influenced by USD strength, inflation expectations, and geopolitical events",
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"url": "",
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"source": "General Context",
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"date": datetime.now().isoformat()
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},
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{
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"title": "Key Gold Drivers",
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"snippet": "Federal Reserve policy, US Dollar Index (DXY), real yields, and global risk sentiment",
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"url": "",
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"source": "General Context",
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"date": datetime.now().isoformat()
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}
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]
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async def get_news_summary(self, max_items: int = 3) -> str:
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"""
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Get a formatted summary of recent gold news for AI prompts.
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Args:
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max_items: Maximum number of news items to include
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Returns:
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Formatted string with news headlines and snippets
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"""
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news_items = await self.search_gold_news(max_results=max_items)
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if not news_items:
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return "📰 Recent News: No recent news available. Analysis based on technical factors only."
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summary = "📰 RECENT MARKET NEWS:\n"
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for i, item in enumerate(news_items, 1):
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summary += f"{i}. {item['title']}\n"
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if item['snippet'] and item['snippet'] != item['title']:
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summary += f" {item['snippet'][:150]}...\n"
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return summary
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# Global service instance
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news_search_service = NewsSearchService()
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