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
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Krikorios
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"""
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BullionVault Gold Price Service
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Fetches real-time gold prices from BullionVault's chart data API
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"""
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from __future__ import annotations
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import asyncio
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import httpx
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from typing import Optional, Dict, Any, List
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from datetime import datetime
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import logging
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import json
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logger = logging.getLogger(__name__)
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class BullionVaultService:
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"""
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Service to fetch gold prices from BullionVault
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BullionVault provides accurate, real-time precious metals prices
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"""
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def __init__(self):
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self.client = httpx.AsyncClient(timeout=15.0)
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self.base_url = "https://www.bullionvault.com"
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# BullionVault chart data endpoint
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self.chart_data_url = f"{self.base_url}/chart/chart-data.json"
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async def get_current_gold_price(self, currency: str = "USD") -> Dict[str, Any]:
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"""
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Get current gold spot price from BullionVault
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Args:
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currency: Currency code (USD, GBP, EUR, JPY, AUD, CAD, CHF)
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Returns:
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Dict with price, high, low, change, timestamp, etc.
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"""
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try:
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# Fetch latest gold price data
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params = {
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"bullion": "gold",
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"currency": currency.upper(),
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"timeframe": "1d", # 1 day for recent data
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"chartType": "line"
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}
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response = await self.client.get(self.chart_data_url, params=params)
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response.raise_for_status()
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data = response.json()
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if not data or "prices" not in data:
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raise ValueError("Invalid response from BullionVault")
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prices = data["prices"]
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if not prices:
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raise ValueError("No price data available")
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# Get latest price point
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latest = prices[-1]
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# Calculate daily statistics
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daily_prices = [p[1] for p in prices if p[1] is not None]
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if not daily_prices:
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raise ValueError("No valid price points")
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current_price = latest[1] # Price per ounce
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daily_high = max(daily_prices)
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daily_low = min(daily_prices)
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# Calculate change from first price of day
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first_price = prices[0][1]
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change = current_price - first_price
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change_percent = (change / first_price * 100) if first_price else 0.0
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# Convert timestamp (BullionVault uses milliseconds)
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timestamp_ms = latest[0]
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timestamp = datetime.fromtimestamp(timestamp_ms / 1000.0)
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result = {
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"price": round(current_price, 2),
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"open": round(first_price, 2),
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"high": round(daily_high, 2),
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"low": round(daily_low, 2),
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"previous_close": round(first_price, 2),
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"change": round(change, 2),
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"change_percent": round(change_percent, 4),
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"currency": currency.upper(),
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"unit": "per troy oz",
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"timestamp": timestamp.isoformat(),
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"timestamp_ms": timestamp_ms,
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"source": "BullionVault",
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"trading_day": timestamp.strftime("%Y-%m-%d"),
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"data_points": len(prices)
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}
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logger.info(f"✅ BullionVault gold price: {currency} ${current_price:.2f}/oz")
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return result
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except httpx.HTTPError as e:
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logger.error(f"❌ BullionVault HTTP error: {e}")
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raise
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except Exception as e:
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logger.error(f"❌ BullionVault price fetch failed: {e}")
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raise
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async def get_gold_history(
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self,
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currency: str = "USD",
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timeframe: str = "1d",
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limit: Optional[int] = None
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) -> List[Dict[str, Any]]:
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"""
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Get historical gold price data from BullionVault
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Args:
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currency: Currency code
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timeframe: Time range (10m, 1h, 6h, 1d, 1w, 1m, 1q, 1y, 5y, 20y)
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limit: Maximum number of data points to return
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Returns:
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List of OHLC data points
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"""
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try:
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params = {
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"bullion": "gold",
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"currency": currency.upper(),
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"timeframe": timeframe,
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"chartType": "hlc" # High-Low-Close for OHLC data
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}
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response = await self.client.get(self.chart_data_url, params=params)
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response.raise_for_status()
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data = response.json()
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if not data or "prices" not in data:
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return []
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prices = data["prices"]
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# Apply limit if specified
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if limit and len(prices) > limit:
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prices = prices[-limit:]
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# Convert to OHLCV format
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result = []
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for point in prices:
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if len(point) >= 4: # [timestamp, open, high, low, close]
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timestamp_ms = point[0]
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result.append({
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"timestamp": datetime.fromtimestamp(timestamp_ms / 1000.0).isoformat(),
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"time": int(timestamp_ms / 1000),
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"open": float(point[1]) if point[1] is not None else 0.0,
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"high": float(point[2]) if point[2] is not None else 0.0,
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"low": float(point[3]) if point[3] is not None else 0.0,
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"close": float(point[4]) if len(point) > 4 and point[4] is not None else float(point[1]),
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"volume": 0, # BullionVault doesn't provide volume
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})
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logger.info(f"✅ BullionVault history: {len(result)} points for {timeframe}")
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return result
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except Exception as e:
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logger.error(f"❌ BullionVault history fetch failed: {e}")
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return []
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async def get_multi_currency_prices(self) -> Dict[str, Dict[str, Any]]:
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"""
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Get current gold prices in multiple currencies
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Returns:
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Dict mapping currency codes to price data
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"""
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currencies = ["USD", "GBP", "EUR", "JPY", "AUD", "CAD", "CHF"]
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tasks = [self.get_current_gold_price(curr) for curr in currencies]
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results = await asyncio.gather(*tasks, return_exceptions=True)
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prices = {}
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for curr, result in zip(currencies, results):
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if isinstance(result, dict):
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prices[curr] = result
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else:
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logger.warning(f"Failed to fetch {curr} price: {result}")
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return prices
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async def close(self):
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"""Close HTTP client"""
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await self.client.aclose()
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# Global instance
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bullionvault_service = BullionVaultService()
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# Convenience functions
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async def get_bullionvault_gold_price(currency: str = "USD") -> Dict[str, Any]:
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"""Get current gold price from BullionVault"""
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return await bullionvault_service.get_current_gold_price(currency)
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async def get_bullionvault_history(
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currency: str = "USD",
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timeframe: str = "1d",
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limit: Optional[int] = None
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) -> List[Dict[str, Any]]:
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"""Get historical gold prices from BullionVault"""
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return await bullionvault_service.get_gold_history(currency, timeframe, limit)
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