量化百科

股票量化交易-获取实时股票行情数据的方法

由bqrng7x8创建,最终由bqrng7x8 被浏览 36 用户

​ 实战-通过python语言接入实时股票行情数据的步骤

一、获取各类K线数据

各类K线数据用于策略的回测,具体的策略此处不谈,下面直接介绍使用AllTick的FeeQuote已经封装好的API直接调用即可,下面上代码:

import time
import requests
import json

# Extra headers
test_headers = {
    'Content-Type':'application/json'
}

'''
github:https://github.com/CTradeExchange/free-quote
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)

上面代码中是以查询苹果股票(AAPL.US)分钟K线为例子的,如果想查询其它类型的K线数据则kline_type传入以下值:1-分钟K,2-为5分钟K,3-为15分钟K,4-为30分钟K,5-为小时K,6-为2小时K,7-为4小时K,8-为日K,9-为周K,10-为月K。

二、获取最新成交报价数据

最新成交报价数据有助于量化策略的分析与判断,从而做出动作,那么如何获取呢,直接上代码:

import time
import requests
import json

# Extra headers
test_headers = {
    'Content-Type':'application/json'
}

'''
github:https://github.com/CTradeExchange/free-quote
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)

上面代码中symbol_list是可以同时传入多个的,分别传入不同的市场的产品也是可以的。

三、获取最新盘口报价数据

直接上代码:

import time
import requests
import json

# Extra headers
test_headers = {
    'Content-Type':'application/json'
}

'''
github:https://github.com/CTradeExchange/free-quote
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)

上面代码中symbol_list是可以同时传入多个的,分别传入不同的市场的产品也是可以的。

四、通过websockety订阅获取实时股票行情数据

请看以下代码:

import json
import websocket    # pip install websocket-client

'''
github:https://github.com/CTradeExchange/free-quote
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()

上面的代码中symbol_list代表你要订阅的产品列表,可以同时传入多个市场的多个产品, cmd_id=22002是订阅盘口数据,当cmd_id=22004时订阅的是成交报价,一旦订阅成功,实时股票行情数据就会源源不断的推送过来,并且是及时的。

好了。今天的技术干货就分享到这里,感谢大家支持。最附上相关的项目链接:

github:https://github.com/CTradeExchange/free-quote

官网:https://alltick.co

标签

量化交易