市场数据API是现代金融领域中不可或缺的关键工具。无论是投资者、交易员、数据分析师,还是金融应用程序开发者,他们都依赖这些API来获取实时、准确的数据,以做出明智的决策并实现其目标。在这个信息爆炸的时代,快速而精确地获取市场数据API对于成功的金融操作至关重要。幸运的是,现如今有许多提供商为我们提供了便捷的市场数据API访问渠道。
实时股票Tick数据API的重要性
在金融数据中,实时股票Tick数据API是市场数据API中不可或缺的一部分。股票市场的波动性要求投资者能够及时获取最新的价格和交易信息。这时,一个高效、准确的实时股票Tick数据API能够为用户提供极其宝贵的信息支持。
【Github】https://github.com/alltick/realtime-forex-crypto-stock-tick-finance-websocket-api
【官网】AllTick API
1. 获取K线
以下代码演示如何查询苹果股票(AAPL.US)的分钟K线数据。可以通过更改kline_type
参数获取不同类型的K线数据:
1-分钟K,2-5分钟K,3-15分钟K,4-30分钟K,5-小时K,6-2小时K,7-4小时K,8-日K,9-周K,10-月K。
import time
import requests
import json
# Extra headers
test_headers = {
'Content-Type':'application/json'
}
'''
github:https://github.com/alltick/realtime-forex-crypto-stock-tick-finance-websocket-api
申请免费token:https://alltick.co/register
官网:https://alltick.co
将如下JSON进行url的encode,复制到http的查询字符串的query字段里
{"trace":"python_http_test1","data":{"code":"AAPL.US","kline_type":1,"kline_timestamp_end":0,"query_kline_num":2,"adjust_type":0}}
'''
test_url1 = 'https://quote.tradeswitcher.com/quote-stock-b-api/kline?token=e945d7d9-9e6e-4721-922a-7251a9d311d0-1678159756806&query=%7B%22trace%22%3A%22python_http_test1%22%2C%22data%22%3A%7B%22code%22%3A%22AAPL.US%22%2C%22kline_type%22%3A1%2C%22kline_timestamp_end%22%3A0%2C%22query_kline_num%22%3A2%2C%22adjust_type%22%3A0%7D%7D'
resp1 = requests.get(url=test_url1, headers=test_headers)
# Decoded text returned by the request
text1 = resp1.text
print(text1)
2、获取最新价格
import time
import requests
import json
# Extra headers
test_headers = {
'Content-Type':'application/json'
}
'''
github:https://github.com/alltick/realtime-forex-crypto-stock-tick-finance-websocket-api
申请免费token:https://alltick.co/register
官网:https://alltick.co
将如下JSON进行url的encode,复制到http的查询字符串的query字段里
{"trace":"python_http_test2","data":{"symbol_list":[{"code": "700.HK"},{"code": "UNH.US"},{"code": "600416.SH"}]}}
'''
test_url1 = 'https://quote.tradeswitcher.com/quote-stock-b-api/trade-tick?token=e945d7d9-9e6e-4721-922a-7251a9d311d0-1678159756806&query=%7B%22trace%22%3A%22python_http_test2%22%2C%22data%22%3A%7B%22symbol_list%22%3A%5B%7B%22code%22%3A%20%22700.HK%22%7D%2C%7B%22code%22%3A%20%22UNH.US%22%7D%2C%7B%22code%22%3A%20%22600416.SH%22%7D%5D%7D%7D'
resp1 = requests.get(url=test_url1, headers=test_headers)
# Decoded text returned by the request
text1 = resp1.text
print(text1)
3、获取最新盘口
import time
import requests
import json
# Extra headers
test_headers = {
'Content-Type':'application/json'
}
'''
github:https://github.com/alltick/realtime-forex-crypto-stock-tick-finance-websocket-api
申请免费token:https://alltick.co/register
官网:https://alltick.co
将如下JSON进行url的encode,复制到http的查询字符串的query字段里
{"trace":"python_http_test2","data":{"symbol_list":[{"code": "700.HK"},{"code": "UNH.US"},{"code": "600416.SH"}]}}
'''
test_url1 = 'https://quote.tradeswitcher.com/quote-stock-b-api/depth-tick?token=e945d7d9-9e6e-4721-922a-7251a9d311d0-1678159756806&query=%7B%22trace%22%3A%22python_http_test2%22%2C%22data%22%3A%7B%22symbol_list%22%3A%5B%7B%22code%22%3A%20%22700.HK%22%7D%2C%7B%22code%22%3A%20%22UNH.US%22%7D%2C%7B%22code%22%3A%20%22600416.SH%22%7D%5D%7D%7D'
resp1 = requests.get(url=test_url1, headers=test_headers)
# Decoded text returned by the request
text1 = resp1.text
print(text1)
4、订阅实时报价数据
import json
import websocket # pip install websocket-client
'''
github:https://github.com/alltick/realtime-forex-crypto-stock-tick-finance-websocket-api
申请免费token:https://alltick.co/register
官网:https://alltick.co
'''
class Feed(object):
def __init__(self):
self.url = 'wss://quote.tradeswitcher.com/quote-stock-b-ws-api?token=e945d7d9-9e6e-4721-922a-7251a9d311d0-1678159756806' # 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,
},
{
"code": "600416.SH",
"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()