如何接入港股实时行情API
【摘要】 港股实时行情接口目前最稳定的是AllTick的,这款API产品是适合用来做量化交易的高频数据接口,返回的是逐笔成交的tick数据。做港股量化的朋友可以体验一下。Toke获取步骤一、登录AllTick官网,注册账户二、完成注册后会自动跳转到管理后台,右边找到你的专属API key三、在每次请求时带上这个key即可查询实时行情更详细的教程可以看官方给出的对接文档。查港股请求示例import ti...
港股实时行情接口目前最稳定的是AllTick的,这款API产品是适合用来做量化交易的高频数据接口,返回的是逐笔成交的tick数据。做港股量化的朋友可以体验一下。
Toke获取步骤
一、登录AllTick官网,注册账户
二、完成注册后会自动跳转到管理后台,右边找到你的专属API key
三、在每次请求时带上这个key即可查询实时行情
更详细的教程可以看官方给出的对接文档。
查港股请求示例
import time
import requests
import json
# Extra headers
test_headers = {
'Content-Type': 'application/json'
}
'''
# token申请地址: https://alltick.co
# 备用地址: https://alltick.io
# Github: https://github.com/alltick/alltick-realtime-forex-crypto-stock-tick-finance-websocket-api
# Replace "testtoken" in the URL below with your own token
'''
# K-line data request for Tencent Holdings (700.HK)
test_url1 = 'https://quote.tradeswitcher.com/quote-stock-b-api/kline?token=testtoken&query=%7B%22trace%22%20%3A%20%22python_http_test1%22%2C%22data%22%20%3A%20%7B%22code%22%20%3A%20%22700.HK%22%2C%22kline_type%22%20%3A%201%2C%22kline_timestamp_end%22%20%3A%200%2C%22query_kline_num%22%20%3A%202%2C%22adjust_type%22%3A%200%7D%7D'
# Depth tick data request for Tencent Holdings (700.HK)
test_url2 = 'https://quote.tradeswitcher.com/quote-stock-b-api/depth-tick?token=testtoken&query=%7B%22trace%22%20%3A%20%22python_http_test2%22%2C%22data%22%20%3A%20%7B%22symbol_list%22%3A%20%5B%7B%22code%22%3A%20%22700.HK%22%7D%5D%7D%7D'
# Trade tick data request for Tencent Holdings (700.HK)
test_url3 = 'https://quote.tradeswitcher.com/quote-stock-b-api/trade-tick?token=testtoken&query=%7B%22trace%22%20%3A%20%22python_http_test3%22%2C%22data%22%20%3A%20%7B%22symbol_list%22%3A%20%5B%7B%22code%22%3A%20%22700.HK%22%7D%5D%7D%7D'
# Send requests and print responses
resp1 = requests.get(url=test_url1, headers=test_headers)
time.sleep(1)
resp2 = requests.get(url=test_url2, headers=test_headers)
time.sleep(1)
resp3 = requests.get(url=test_url3, headers=test_headers)
# Decoded text returned by the request
text1 = resp1.text
print(text1)
text2 = resp2.text
print(text2)
text3 = resp3.text
print(text3)
Websocket订阅小米集团港股股价
import json
import websocket # pip install websocket-client
'''
# token申请地址: https://alltick.co
# 备用地址: https://alltick.io
# Github: https://github.com/alltick/alltick-realtime-forex-crypto-stock-tick-finance-websocket-api
# Replace "testtoken" in the URL below with your own token
'''
class Feed(object):
def __init__(self):
self.url = 'wss://quote.tradeswitcher.com/quote-stock-b-ws-api?token=testtoken' # Enter your websocket URL here
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!')
# Start subscribing
sub_param = {
"cmd_id": 22002,
"seq_id": 123,
"trace": "3baaa938-f92c-4a74-a228-fd49d5e2f8bc-1678419657806",
"data": {
"symbol_list": [
{
"code": "1810.HK",
"depth_level": 5,
}
]
}
}
# If you want to run for a long time, you need to modify the code to send heartbeats periodically to avoid disconnection, please refer to the API documentation for details
sub_str = json.dumps(sub_param)
ws.send(sub_str)
print("Depth quote for 1810.HK is subscribed!")
def on_data(self, ws, string, type, continue_flag):
"""
4 arguments.
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
"""
# Parse the received message
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()
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