2026 最新法國股票 API 推薦：即時行情、歷史資料與財務指標

      import requests
import datetime

# 配置您的 API Token
API_TOKEN = "your_api_token_here"  # 請替換為您的實際 Token
BASE_URL = "https://api.itick.org"

def get_french_stock_quote(symbol):
    """
    獲取法國股票即時報價
    :param symbol: 股票代碼，例如 LVMH 在法國為 "MC"
    """
    url = f"{BASE_URL}/stock/quote"
    params = {
        "region": "FR",      # 法國市場代碼
        "code": symbol       # 股票代碼，例如 "MC"
    }
    headers = {
        "accept": "application/json",
        "token": API_TOKEN
    }

    try:
        response = requests.get(url, params=params, headers=headers, timeout=5)
        response.raise_for_status()
        result = response.json()

        if result["code"] == 0:  # 0 表示成功
            data = result["data"]
            print(f"股票名稱: {data.get('n', 'N/A')}")
            print(f"股票代碼: {data.get('s', 'N/A')}")
            print(f"最新價: {data.get('ld', 'N/A')} EUR")
            print(f"開盤價: {data.get('o', 'N/A')} EUR")
            print(f"最高價: {data.get('h', 'N/A')} EUR")
            print(f"最低價: {data.get('l', 'N/A')} EUR")
            print(f"成交量: {data.get('v', 'N/A')} 股")
            print(f"漲跌幅: {data.get('chp', 'N/A')}%")

            # 轉換時間戳
            timestamp = data.get('t', 0) / 1000
            dt = datetime.datetime.fromtimestamp(timestamp)
            print(f"資料時間: {dt.strftime('%Y-%m-%d %H:%M:%S')}")
            return data
        else:
            print(f"API 錯誤: {result.get('msg', '未知錯誤')}")
            return None

    except Exception as e:
        print(f"請求異常: {str(e)}")
        return None

# 範例呼叫：獲取 LVMH 即時行情
quote = get_french_stock_quote("MC")

    

      import requests
import pandas as pd
import matplotlib.pyplot as plt

def get_french_stock_kline(symbol, ktype=8, limit=100):
    """
    獲取法國股票歷史 K 線資料
    :param symbol: 股票代碼
    :param ktype: K 線類型 (1:1分鐘, 2:5分鐘, ..., 8:日線, 9:週線, 10:月線)
    :param limit: 獲取 K 線數量
    """
    url = f"{BASE_URL}/stock/kline"
    params = {
        "region": "FR",
        "code": symbol,
        "kType": ktype,
        "limit": limit
    }
    headers = {
        "accept": "application/json",
        "token": API_TOKEN
    }

    try:
        response = requests.get(url, params=params, headers=headers)
        result = response.json()

        if result["code"] == 0:
            kline_data = result.get("data", [])

            # 轉換為 Pandas DataFrame 便於分析
            df = pd.DataFrame(kline_data)
            if df.empty:
                print("未獲取到資料")
                return None

            # 轉換時間戳並設定索引
            df['datetime'] = pd.to_datetime(df['t'], unit='ms')
            df.set_index('datetime', inplace=True)

            # 重新命名欄位
            df.rename(columns={
                'o': 'open', 'h': 'high', 'l': 'low',
                'c': 'close', 'v': 'volume'
            }, inplace=True)

            # 轉換為數值型態
            for col in ['open', 'high', 'low', 'close', 'volume']:
                df[col] = pd.to_numeric(df[col])

            print(f"獲取到 {len(df)} 條 K 線資料")
            print(df[['open', 'high', 'low', 'close', 'volume']].head())

            # 簡單視覺化
            df['close'].plot(figsize=(12, 6), title=f"{symbol} 收盤價走勢")
            plt.grid(True)
            plt.show()

            return df
        else:
            print(f"API 錯誤: {result.get('msg')}")
            return None

    except Exception as e:
        print(f"異常: {str(e)}")
        return None

# 獲取道達爾能源最近 100 個交易日資料
df_total = get_french_stock_kline("TTE", ktype=8, limit=100)

    

      def get_french_stock_financials(symbol):
    """
    獲取法國股票財務指標
    """
    url = f"{BASE_URL}/stock/info"
    params = {
        "region": "FR",
        "code": symbol,
        "type": "stock"
    }
    headers = {
        "accept": "application/json",
        "token": API_TOKEN
    }

    try:
        response = requests.get(url, params=params, headers=headers)
        result = response.json()

        if result["code"] == 0:
            financials = result.get("data", [])
            print(f"獲取到 {symbol} 財務資料")
            for item in financials[:3]:  # 顯示最近 3 期
                print(f"總市值: {item.get('mcb')}")
                print(f"總股本: {item.get('tso')} EUR")
                print(f"本益比: {item.get('pet')} EUR")
                print("-" * 40)
            return financials
        else:
            print(f"API 錯誤: {result.get('msg')}")
            return None

    except Exception as e:
        print(f"異常: {str(e)}")
        return None

# 範例：獲取歐萊雅財務資料
financials = get_french_stock_financials("OR")

    

      import websocket
import json
import threading
import time

WS_URL = "wss://api.itick.org/stock"
API_TOKEN = "your_api_token_here"

def on_message(ws, message):
    """處理接收到的訊息"""
    data = json.loads(message)
    if data.get("data"):
        market_data = data["data"]
        data_type = market_data.get("type")
        symbol = market_data.get("s")

        if data_type == "quote":
            print(f"[{symbol}] 最新價: {market_data.get('ld')} EUR, "
                  f"漲跌: {market_data.get('chp')}%")
        elif data_type == "depth":
            bids = market_data.get("b", [])[:3]   # 買三檔
            asks = market_data.get("a", [])[:3]   # 賣三檔
            print(f"[{symbol}] 買盤: {bids}, 賣盤: {asks}")

def on_open(ws):
    """連線建立後訂閱資料"""
    print("WebSocket 連線成功")

    # 訂閱法國 LVMH 與歐萊雅的即時報價與盤口
    subscribe_msg = {
        "ac": "subscribe",
        "params": "MC$FR,OR$FR",       # 注意法國股票格式：代碼$FR
        "types": "quote,depth"         # 訂閱報價與盤口資料
    }
    ws.send(json.dumps(subscribe_msg))
    print(f"已訂閱: {subscribe_msg['params']}")

def on_error(ws, error):
    print(f"WebSocket 錯誤: {error}")

def on_close(ws, close_status_code, close_msg):
    print(f"WebSocket 連線關閉: {close_msg}")

def send_heartbeat(ws):
    """發送心跳維持連線"""
    while True:
        time.sleep(30)
        ping_msg = {
            "ac": "ping",
            "params": str(int(time.time() * 1000))
        }
        ws.send(json.dumps(ping_msg))
        print("心跳已發送")

# 建立 WebSocket 連線
ws = websocket.WebSocketApp(
    WS_URL,
    header={"token": API_TOKEN},
    on_open=on_open,
    on_message=on_message,
    on_error=on_error,
    on_close=on_close
)

# 啟動心跳執行緒
heartbeat_thread = threading.Thread(target=send_heartbeat, args=(ws,))
heartbeat_thread.daemon = True
heartbeat_thread.start()

# 執行 WebSocket 連線
ws.run_forever()