对接印度股票数据源完整指南：使用Python实现

本文将介绍如何使用Python对接印度股票数据源，涵盖实时行情、历史K线、公司信息等核心功能。所有API都需要通过https://t.me/stocktvpaopao获取授权密钥。

准备工作

1. 安装必要的Python库：

pip install requests websocket-client pandas

2. 接口文档：
   https://documenter.getpostman.com/view/42914868/2sB2ixkEZR

核心API对接代码

1. 获取印度股票市场列表

import requests

def get_indian_stocks(page=1, page_size=50):
    url = "https://api.stocktv.top/stock/stocks"
    params = {
        "countryId": 14,  # 印度国家ID
        "pageSize": page_size,
        "page": page,
        "key": "YOUR_KEY"  # 替换为实际密钥
    }
    response = requests.get(url, params=params)
    return response.json()

# 示例调用
stocks = get_indian_stocks()
print(f"获取到{len(stocks['data']['records'])}只印度股票")

2. 查询单个股票详情

def get_stock_detail(stock_id):
    url = "https://api.stocktv.top/stock/queryStocks"
    params = {
        "id": stock_id,  # 股票ID
        "key": "YOUR_KEY"
    }
    response = requests.get(url, params=params)
    return response.json()

# 示例调用
infosys_data = get_stock_detail(7310)  # INFY股票ID

3. 获取印度主要指数

def get_indices():
    url = "https://api.stocktv.top/stock/indices"
    params = {
        "countryId": 14,
        "key": "YOUR_KEY"
    }
    response = requests.get(url, params=params)
    return response.json()

# 示例调用
indices = get_indices()
nifty50 = next(i for i in indices['data'] if i['name'] == 'Nifty 50')
print(f"Nifty 50当前点位: {nifty50['last']}")

4. 获取股票K线数据

def get_kline_data(stock_id, interval="PT15M"):
    url = "https://api.stocktv.top/stock/kline"
    params = {
        "pid": stock_id,
        "interval": interval,  # 时间间隔
        "key": "YOUR_KEY"
    }
    response = requests.get(url, params=params)
    return response.json()

# 示例调用
reliance_kline = get_kline_data(12345, "PT1H")  # 获取信实工业1小时K线

5. 实时行情WebSocket

import websocket
import json

def on_message(ws, message):
    data = json.loads(message)
    print(f"{data['symbol']} 最新价: {data['last_numeric']}")

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

def on_close(ws, close_status_code, close_msg):
    print("WebSocket连接关闭")

def on_open(ws):
    print("实时行情连接成功")

# 建立WebSocket连接
ws_url = "wss://ws-api.stocktv.top/connect?key=YOUR_KEY"
ws = websocket.WebSocketApp(
    ws_url,
    on_open=on_open,
    on_message=on_message,
    on_error=on_error,
    on_close=on_close
)

# 启动监听（新线程中运行）
ws.run_forever()

高级功能实现

监控涨跌排行榜

def monitor_top_movers(mover_type=1):
    """监控涨幅榜/跌幅榜
    mover_type: 1=涨幅榜 2=跌幅榜 3=涨停榜 4=跌停榜
    """
    url = "https://api.stocktv.top/stock/updownList"
    params = {
        "countryId": 14,
        "type": mover_type,
        "key": "YOUR_KEY"
    }
    response = requests.get(url, params=params)
    return response.json()

# 示例：获取当日涨幅前十
top_gainers = monitor_top_movers(1)['data'][:10]

IPO新股日历

def get_ipo_calendar():
    url = "https://api.stocktv.top/stock/getIpo"
    params = {
        "countryId": 14,
        "key": "YOUR_KEY"
    }
    response = requests.get(url, params=params)
    return response.json()

# 示例：获取近期IPO
upcoming_ipos = [ipo for ipo in get_ipo_calendar()['data'] 
                if ipo['ipoListing'] > time.time()]

完整示例：印度股票监控系统

import time
import requests
from threading import Thread

class IndiaStockMonitor:
    def __init__(self, api_key):
        self.api_key = api_key
        self.tracked_stocks = {}
    
    def add_stock(self, stock_id, alert_price):
        """添加监控股票"""
        self.tracked_stocks[stock_id] = {
            'alert_price': alert_price,
            'current_price': None
        }
    
    def start_monitoring(self):
        """启动监控线程"""
        Thread(target=self._monitor_prices).start()
    
    def _monitor_prices(self):
        while True:
            for stock_id, data in self.tracked_stocks.items():
                stock_data = get_stock_detail(stock_id)
                current_price = stock_data['data'][0]['last']
                
                # 价格突破提醒
                if current_price >= data['alert_price']:
                    print(f"警报! {stock_id} 突破目标价 {data['alert_price']}")
                
                # 更新当前价格
                data['current_price'] = current_price
            
            # 每分钟更新一次
            time.sleep(60)

# 使用示例
monitor = IndiaStockMonitor("YOUR_API_KEY")
monitor.add_stock(7310, 1800)  # 监控INFY，目标价1800
monitor.add_stock(12345, 2800) # 监控RELIANCE
monitor.start_monitoring()

常见问题解决

1. API返回错误代码

   • 401：无效API密钥，请重新获取
   • 429：请求过于频繁，添加延时
   • 500：服务器错误，稍后重试

2. 数据更新频率

   • 实时行情：WebSocket毫秒级更新
   • K线数据：1分钟级更新
   • 公司信息：每日更新

3. 关键参数参考

   # 常用国家ID
   COUNTRIES = {
       'india': 14,
       'china': 37,
       'usa': 43,
       'japan': 35
   }
   
   # K线周期
   INTERVALS = {
       '5m': 'PT5M',
       '15m': 'PT15M',
       '1h': 'PT1H',
       '1d': 'P1D'
   }
   

结语

本文详细介绍了如何通过Python对接印度股票市场数据接口，包含实时行情、历史数据、公司基本面等核心功能。建议：

1. 使用WebSocket获取实时行情而非频繁轮询
2. 本地缓存常用股票元数据减少API调用
3. 添加请求重试机制应对网络波动

如需获取最新API文档或技术支持，请访问https://t.me/stocktvpaopao