Initial commit: Gold Trading Simulator with AI-powered analysis

2025-11-16 00:50:04 +02:00
commit 72c1d3adb7
128 changed files with 16232 additions and 0 deletions
@@ -0,0 +1,76 @@
+from fastapi import APIRouter, HTTPException, Query
+from typing import List
+from app.services.price_simulator import gold_simulator
+from app.schemas.schemas import PriceData, MarketDataResponse
+
+router = APIRouter(prefix="/market", tags=["Market Data"])
+
+
+@router.get("/gold/current", response_model=MarketDataResponse)
+async def get_current_gold_price():
+    """Get current gold (XAU/USD) market data - simulated live feed"""
+    try:
+        # Get current simulated price
+        current_price = gold_simulator.get_current_price()
+
+        # Generate recent data for 24h high/low calculation
+        recent_data = gold_simulator.generate_historical_data(interval="60min", points=24)
+
+        if len(recent_data) > 0:
+            # Calculate 24h stats
+            high_24h = max(candle.high for candle in recent_data)
+            low_24h = min(candle.low for candle in recent_data)
+            
+            latest = recent_data[-1]
+            previous = recent_data[-2] if len(recent_data) > 1 else latest
+
+            change = latest.close - previous.close
+            change_percent = (change / previous.close) * 100
+
+            return MarketDataResponse(
+                symbol="XAU/USD",
+                price=current_price,
+                change=change,
+                change_percent=change_percent,
+                high_24h=high_24h,
+                low_24h=low_24h,
+                volume=0.0,
+            )
+        else:
+            raise HTTPException(status_code=500, detail="Unable to generate market data")
+
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/gold/history", response_model=List[PriceData])
+async def get_gold_historical_data(
+    interval: str = Query("daily", description="Time interval: daily, 1min, 5min, 15min, 30min, 60min"),
+    output_size: str = Query("compact", description="compact (100 points) or full (500 points)"),
+):
+    """Get historical gold (XAU/USD) price data - simulated"""
+    try:
+        # Determine number of points based on output_size
+        points = 500 if output_size == "full" else 100
+        
+        # Generate historical data using simulator
+        data = gold_simulator.generate_historical_data(interval=interval, points=points)
+
+        return data
+
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/gold/live", response_model=PriceData)
+async def get_live_gold_price(
+    interval: str = Query("1min", description="Time interval for rounding: 1min, 5min, 15min, 30min, 60min")
+):
+    """Get latest live gold price tick - simulated real-time feed (no external API calls)"""
+    try:
+        # Use the simulator to generate a live candle
+        live_candle = gold_simulator.get_live_candle(interval=interval)
+        return live_candle
+        
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))