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 +1,60 @@
+from __future__ import annotations
+
+import asyncio
+from datetime import datetime
+from typing import AsyncIterator
+import httpx
+
+from ..typing import Kline
+from app.config import settings
+
+
+ALPHA_BASE = "https://www.alphavantage.co/query"
+
+
+class AlphaVantageXAUProvider:
+    def __init__(self, api_key: str | None = None):
+        self.api_key = api_key or settings.alpha_vantage_api_key
+
+    async def stream_klines(self, symbol: str, timeframe: str) -> AsyncIterator[Kline]:
+        # Poll once per minute due to AV rate limits
+        assert symbol.upper() in {"XAUUSD", "XAU/USD"}
+        from_symbol = "XAU"
+        to_symbol = "USD"
+        interval = "1min" if timeframe == "1m" else "5min"
+        async with httpx.AsyncClient(timeout=30) as client:
+            while True:
+                params = {
+                    "function": "FX_INTRADAY",
+                    "from_symbol": from_symbol,
+                    "to_symbol": to_symbol,
+                    "interval": interval,
+                    "outputsize": "compact",
+                    "apikey": self.api_key or "demo",
+                }
+                try:
+                    r = await client.get(ALPHA_BASE, params=params)
+                    r.raise_for_status()
+                    js = r.json()
+                    # Pick the latest candle
+                    key = f"Time Series FX ({interval})"
+                    series = js.get(key) or {}
+                    if series:
+                        ts, row = next(iter(series.items()))
+                        dt = datetime.fromisoformat(ts)
+                        yield Kline(
+                            symbol="XAUUSD",
+                            timeframe=timeframe,
+                            open_time=dt,
+                            close_time=dt,
+                            open=float(row["1. open"]),
+                            high=float(row["2. high"]),
+                            low=float(row["3. low"]),
+                            close=float(row["4. close"]),
+                            volume=float(row.get("5. volume", 0.0)),
+                            is_closed=True,
+                            source="alpha_vantage",
+                        )
+                except Exception:
+                    pass
+                await asyncio.sleep(60)