Add new feature to handle user input

2026-10-30 09:20:09 +01:00
parent 033adb87da
commit 202f48d94f
10 changed files with 1535 additions and 0 deletions
@@ -0,0 +1,78 @@
+"""
+exchange.py — Kraken connector via CCXT
+Verantwoordelijk voor: marktdata ophalen, OHLCV, ticker info
+"""
+import ccxt
+import os
+import pandas as pd
+from typing import Optional
+import logging
+
+logger = logging.getLogger(__name__)
+
+
+def get_exchange() -> ccxt.kraken:
+    """Initialiseer Kraken exchange connectie."""
+    return ccxt.kraken({
+        "apiKey": os.getenv("KRAKEN_API_KEY", ""),
+        "secret": os.getenv("KRAKEN_SECRET", ""),
+        "enableRateLimit": True,
+        "options": {
+            "defaultType": "spot",
+        }
+    })
+
+
+# Universe van tradeable pairs — uitbreidbaar
+TRADING_UNIVERSE = [
+    "BTC/EUR", "ETH/EUR", "SOL/EUR", "ADA/EUR",
+    "XRP/EUR", "DOT/EUR", "MATIC/EUR", "LINK/EUR",
+    "AVAX/EUR", "ATOM/EUR", "UNI/EUR", "LTC/EUR",
+    "ALGO/EUR", "NEAR/EUR", "FTM/EUR", "MANA/EUR",
+    "SAND/EUR", "DOGE/EUR", "SHIB/EUR", "OP/EUR",
+]
+
+
+def fetch_ohlcv(symbol: str, timeframe: str = "5m", limit: int = 100) -> pd.DataFrame:
+    """
+    Haal OHLCV candledata op voor een pair.
+    Timeframe: 1m, 5m, 15m, 1h, 4h, 1d
+    """
+    exchange = get_exchange()
+    try:
+        raw = exchange.fetch_ohlcv(symbol, timeframe=timeframe, limit=limit)
+        df = pd.DataFrame(raw, columns=["timestamp", "open", "high", "low", "close", "volume"])
+        df["timestamp"] = pd.to_datetime(df["timestamp"], unit="ms")
+        df.set_index("timestamp", inplace=True)
+        return df
+    except Exception as e:
+        logger.error(f"OHLCV fetch mislukt voor {symbol}: {e}")
+        return pd.DataFrame()
+
+
+def fetch_tickers(symbols: Optional[list[str]] = None) -> dict:
+    """
+    Haal huidige ticker data op voor meerdere pairs tegelijk.
+    Geeft dict terug met per symbol: prijs, volume, change%.
+    """
+    exchange = get_exchange()
+    targets = symbols or TRADING_UNIVERSE
+    result = {}
+
+    try:
+        tickers = exchange.fetch_tickers(targets)
+        for symbol, ticker in tickers.items():
+            result[symbol] = {
+                "symbol":        symbol,
+                "price":         ticker.get("last") or 0,
+                "volume_24h":    ticker.get("quoteVolume") or 0,
+                "change_24h":    ticker.get("percentage") or 0,
+                "high_24h":      ticker.get("high") or 0,
+                "low_24h":       ticker.get("low") or 0,
+                "bid":           ticker.get("bid") or 0,
+                "ask":           ticker.get("ask") or 0,
+            }
+    except Exception as e:
+        logger.error(f"Ticker fetch mislukt: {e}")
+
+    return result