全球股票指数API接口接入方法 |港股股票指数 | 美股股票指数|全球市场
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想知道如何利用量化策略接入全球股票指数API接口吗？别担心，我们这篇文章将用通俗易懂的语言，手把手教您如何快速获取全球市场的股票指数最新动态，轻松掌握实时港股、实时美股指数等股票指数相关的实时数据。全球股票指数API要求稳定，快速，实时，股票指数API接口还要求产品种类数据繁多。
一、获取API地址以及传参说明
支持以下产品品类:
- 实时美股、实时美股指数
- 实时港股、实时港股指数
- 实时A股、实时A股指数
- 实时外汇、实时汇率
- 实时贵金属、实时黄金、实时白银
- 实时商品、实时能源
- 实时数字币
github: https://github.com/alltick/realtime-forex-crypto-stock-tick-finance-websocket-api
token申请：https://alltick.co
把下面url中的testtoken替换为您自己的token
外汇，数字币，贵金属的api址：
wss://quote.tradeswitcher.com/quote-b-ws-api
港美股api地址:
wss://quote.tradeswitcher.com/quote-stock-b-ws-api
建立连接：
wss://quote.tradeswitcher.com/quote-stock-b-ws-api?token=testtoken
一旦成功建立连接，您将进入订阅接口数据的精彩世界！无论您对港股指数、美股指数还是其他全球市场感兴趣，我们将在下文详细介绍具体的调用方式
二、立刻申请一个Token
2.1 到它的官方网站使用邮箱直接注册即可:https://alltick.co
2.2 它的github开源站点：https://github.com/alltick/realtime-forex-crypto-stock-tick-finance-websocket-api
三、请查看code产品列表
请到github或者官网上面查看并选择
四、开始真正的订阅实时行情数据源报价
一旦您确定了所需的产品代码列表，就可以立即开始订阅实时行情数据源的报价了！现在让我们来看一下下面的实例代码，它将向您展示如何实际进行订阅操作。通过这个实例，您将亲身体验到如何使用代码订阅接口，以获取最新的实时行情数据
import json
import websocket # pip install websocket-client
'''
# 特别注意：
# github: https://github.com/alltick/realtime-forex-crypto-stock-tick-finance-websocket-api
# token申请：https://alltick.co
# 把下面url中的testtoken替换为您自己的token
# 外汇，数字币，贵金属的api址：
# wss://quote.tradeswitcher.com/quote-b-ws-api
# 港美股api地址:
# wss://quote.tradeswitcher.com/quote-stock-b-ws-api
'''
class Feed(object):
def __init__(self):
self.url = 'wss://quote.tradeswitcher.com/quote-stock-b-ws-api?token=testtoken' # 这里输入websocket的url
self.ws = None
def on_open(self, ws):
"""
Callback object which is called at opening websocket.
1 argument:
@ ws: the WebSocketApp object
"""
print('A new WebSocketApp is opened!')
# 开始订阅（举个例子）
sub_param = {
"cmd_id": 22002,
"seq_id": 123,
"trace":"3baaa938-f92c-4a74-a228-fd49d5e2f8bc-1678419657806",
"data":{
"symbol_list":[
{
"code": "700.HK",
"depth_level": 5,
},
{
"code": "UNH.US",
"depth_level": 5,
}
]
}
}
#如果希望长时间运行，除了需要发送订阅之外，还需要修改代码，定时发送心跳，避免连接断开，具体查看接口文档
sub_str = json.dumps(sub_param)
ws.send(sub_str)
print("depth quote are subscribed!")
def on_data(self, ws, string, type, continue_flag):
"""
4 argument.
The 1st argument is this class object.
The 2nd argument is utf-8 string which we get from the server.
The 3rd argument is data type. ABNF.OPCODE_TEXT or ABNF.OPCODE_BINARY will be came.
The 4th argument is continue flag. If 0, the data continue
"""
def on_message(self, ws, message):
"""
Callback object which is called when received data.
2 arguments:
@ ws: the WebSocketApp object
@ message: utf-8 data received from the server
"""
# 对收到的message进行解析
result = eval（message)
print(result)
def on_error(self, ws, error):
"""
Callback object which is called when got an error.
2 arguments:
@ ws: the WebSocketApp object
@ error: exception object
"""
print(error)
def on_close(self, ws, close_status_code, close_msg):
"""
Callback object which is called when the connection is closed.
2 arguments:
@ ws: the WebSocketApp object
@ close_status_code
@ close_msg
"""
print('The connection is closed!')
def start(self):
self.ws = websocket.WebSocketApp(
self.url,
on_open=self.on_open,
on_message=self.on_message,
on_data=self.on_data,
on_error=self.on_error,
on_close=self.on_close,
)
self.ws.run_forever()
if __name__ == "__main__":
feed = Feed()
feed.start()
五、现在，让我们一起来解析推送的数据吧！
一旦您成功订阅了实时行情数据源，您将开始收到推送的数据。在下文中，我们将详细介绍如何解析这些推送的数据。通过了解数据的结构和字段含义，您将能够准确理解每个数据点所代表的含义，从而更好地分析市场趋势和做出明智的投资决策。无论您是初学者还是有经验的投资者，我们的解析指南将帮助您轻松掌握推送数据的解读技巧，让您在投资路上更加游刃有余！
5.1、最新成交报价解析
{
"cmd_id":22998,
"data":{
"code": "1288.HK",
"seq": "1605509068000001",
"tick_time": "1605509068",
"price": "651.12",
"volume": "300",
"turnover": "12345.6",
"trade_direction": 1,
}
}
5.2、最新5档深度数据解析
{
"cmd_id":22999,
"data":{
"code": "1288.HK",
"seq": "1605509068000001",
"tick_time": "1605509068",
"bids": [
{
"pric": "9.12",
"volume": "9.12",
},
{
"pric": "9.12",
"volume": "9.12",
},
{
"pric": "9.12",
"volume": "9.12",
},
{
"pric": "9.12",
"volume": "9.12",
},
{
"pric": "9.12",
"volume": "9.12",
}
],
"asks": [
{
"price": "147.12",
"volume": "147.12",
},
{
"price": "147.12",
"volume": "147.12",
},
{
"price": "147.12",
"volume": "147.12",
},
{
"price": "147.12",
"volume": "147.12",
},
{
"price": "147.12",
"volume": "147.12",
}
],
}
}
\