feat: Add Phase 4 advanced metrics and components

- 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
2025-11-27 10:23:58 +02:00
parent b5e2b02cb8
commit 48e60d015f
2019 changed files with 39793 additions and 257 deletions
@@ -0,0 +1,114 @@
+"""
+Web search integration for fetching real-time gold market news.
+
+This module provides functionality to search for recent gold market news
+using various search APIs. Currently supports:
+- DuckDuckGo search (free, no API key required)
+- Extensible for Tavily, SerpAPI, or other providers
+"""
+
+import httpx
+import json
+from typing import List, Dict, Optional
+from datetime import datetime, timedelta
+
+
+class NewsSearchService:
+    """Service for fetching recent gold market news from the web."""
+    
+    def __init__(self):
+        self.timeout = 10.0
+        
+    async def search_gold_news(self, query: str = "gold price XAU/USD", max_results: int = 5) -> List[Dict]:
+        """
+        Search for recent gold market news.
+        
+        Args:
+            query: Search query (default: "gold price XAU/USD")
+            max_results: Maximum number of results to return
+            
+        Returns:
+            List of news articles with title, snippet, url, and date
+        """
+        try:
+            # Use DuckDuckGo Instant Answer API (free, no key required)
+            async with httpx.AsyncClient(timeout=self.timeout) as client:
+                response = await client.get(
+                    "https://api.duckduckgo.com/",
+                    params={
+                        "q": query,
+                        "format": "json",
+                        "no_html": 1,
+                        "skip_disambig": 1,
+                    }
+                )
+                
+                if response.status_code == 200:
+                    data = response.json()
+                    results = []
+                    
+                    # Extract related topics (news items)
+                    related_topics = data.get("RelatedTopics", [])
+                    for topic in related_topics[:max_results]:
+                        if isinstance(topic, dict) and "Text" in topic:
+                            results.append({
+                                "title": topic.get("Text", "")[:100],
+                                "snippet": topic.get("Text", ""),
+                                "url": topic.get("FirstURL", ""),
+                                "source": "DuckDuckGo",
+                                "date": datetime.now().isoformat()
+                            })
+                    
+                    return results
+                    
+        except Exception as e:
+            print(f"News search error: {e}")
+            
+        # Return fallback generic news context
+        return self._get_fallback_news()
+    
+    def _get_fallback_news(self) -> List[Dict]:
+        """Return generic gold market context when search fails."""
+        return [
+            {
+                "title": "Gold Market Overview",
+                "snippet": "Gold prices influenced by USD strength, inflation expectations, and geopolitical events",
+                "url": "",
+                "source": "General Context",
+                "date": datetime.now().isoformat()
+            },
+            {
+                "title": "Key Gold Drivers",
+                "snippet": "Federal Reserve policy, US Dollar Index (DXY), real yields, and global risk sentiment",
+                "url": "",
+                "source": "General Context",
+                "date": datetime.now().isoformat()
+            }
+        ]
+    
+    async def get_news_summary(self, max_items: int = 3) -> str:
+        """
+        Get a formatted summary of recent gold news for AI prompts.
+        
+        Args:
+            max_items: Maximum number of news items to include
+            
+        Returns:
+            Formatted string with news headlines and snippets
+        """
+        news_items = await self.search_gold_news(max_results=max_items)
+        
+        if not news_items:
+            return "📰 Recent News: No recent news available. Analysis based on technical factors only."
+        
+        summary = "📰 RECENT MARKET NEWS:\n"
+        for i, item in enumerate(news_items, 1):
+            summary += f"{i}. {item['title']}\n"
+            if item['snippet'] and item['snippet'] != item['title']:
+                summary += f"   {item['snippet'][:150]}...\n"
+        
+        return summary
+
+
+# Global service instance
+news_search_service = NewsSearchService()