Python量化交易:如何接入金融行情数据?
本文为大家介绍如何使用Python调用已经封装好的高频数据API。这里以Alltick的tick数据接口作为演示。下面是代码示例。
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本文为大家介绍如何使用Python调用已经封装好的高频数据API。这里以Infoway API的tick数据接口作为演示。下面是代码示例。
请求K线数据
import requests
api_url = 'https://data.infoway.io/stock/v2/batch_kline/1/10/002594.SZ%2C00285.HK%2CTSLA.US'
# 设置请求头
headers = {
'User-Agent': 'Mozilla/5.0',
'Accept': 'application/json',
'apiKey': 'yourApikey'
}
# 发送GET请求
response = requests.get(api_url, headers=headers)
# 输出结果
print(f"HTTP code: {response.status_code}")
print(f"message: {response.text}")
上面代码同时查询三个不同市场的股票(002594.SZ, 00285.HK, TSLA.US),批量K线的请求地址统一为:
https://data.infoway.io/stock/v2/batch_kline
入参示例:
{
"klineType":1, //kline类型
"klineNum":10, //k线数量
"codes":"TSLA.US,AAPL.US", //查询产品,逗号分隔
"timestamp":1758553860 //最近截止时间戳
}
请求最新报价成交数据
import requests
url = "https://data.infoway.io/stock/batch_trade/002594.SZ%2C00285.HK%2CTSLA.US%2CAUDCAD%2CHK50%2CXNIUSD"
headers = {"accept": "application/json"}
response = requests.get(url, headers=headers)
print(response.text)
这个接口支持批量查询,只需传入多个股票代码即可。
获取最新盘口报价数据
import requests
url = "https://data.infoway.io/stock/batch_depth/002594.SZ%2C00285.HK%2CTSLA.US%2CAUDCAD%2CHK50%2CXNIUSD"
headers = {"accept": "application/json"}
response = requests.get(url, headers=headers)
print(response.text)
同上,symbol_list支持传入多个值。
通过Websocket订阅实时行情数据
import json
import time
import schedule
import threading
import websocket
from loguru import logger
class WebsocketExample:
def __init__(self):
self.session = None
self.ws_url = "wss://data.infoway.io/ws?business=crypto&apikey=yourApikey"
self.reconnecting = False
def connect_all(self):
"""建立WebSocket连接并启动自动重连机制"""
try:
self.connect(self.ws_url)
self.start_reconnection(self.ws_url)
except Exception as e:
logger.error(f"Failed to connect to {self.ws_url}: {str(e)}")
def start_reconnection(self, url):
"""启动定时重连检查"""
def check_connection():
if not self.is_connected():
logger.debug("Reconnection attempt...")
self.connect(url)
# 使用线程定期检查连接状态
threading.Thread(target=lambda: schedule.every(10).seconds.do(check_connection), daemon=True).start()
def is_connected(self):
"""检查WebSocket连接状态"""
return self.session and self.session.connected
def connect(self, url):
"""建立WebSocket连接"""
try:
if self.is_connected():
self.session.close()
self.session = websocket.WebSocketApp(
url,
on_open=self.on_open,
on_message=self.on_message,
on_error=self.on_error,
on_close=self.on_close
)
# 启动WebSocket连接(非阻塞模式)
threading.Thread(target=self.session.run_forever, daemon=True).start()
except Exception as e:
logger.error(f"Failed to connect to the server: {str(e)}")
def on_open(self, ws):
"""WebSocket连接建立成功后的回调"""
logger.info(f"Connection opened")
try:
# 发送实时成交明细订阅请求
trade_send_obj = {
"code": 10000,
"trace": "01213e9d-90a0-426e-a380-ebed633cba7a",
"data": {"codes": "BTCUSDT"}
}
self.send_message(trade_send_obj)
# 不同请求之间间隔一段时间
time.sleep(5)
# 发送实时盘口数据订阅请求
depth_send_obj = {
"code": 10003,
"trace": "01213e9d-90a0-426e-a380-ebed633cba7a",
"data": {"codes": "BTCUSDT"}
}
self.send_message(depth_send_obj)
# 不同请求之间间隔一段时间
time.sleep(5)
# 发送实时K线数据订阅请求
kline_data = {
"arr": [
{
"type": 1,
"codes": "BTCUSDT"
}
]
}
kline_send_obj = {
"code": 10006,
"trace": "01213e9d-90a0-426e-a380-ebed633cba7a",
"data": kline_data
}
self.send_message(kline_send_obj)
# 启动定时心跳任务
threading.Thread(target=lambda: schedule.every(30).seconds.do(self.ping), daemon=True).start()
except Exception as e:
logger.error(f"Error sending initial messages: {str(e)}")
def on_message(self, ws, message):
"""接收消息的回调"""
try:
logger.info(f"Message received: {message}")
except Exception as e:
logger.error(f"Error processing message: {str(e)}")
def on_close(self, ws, close_status_code, close_msg):
"""连接关闭的回调"""
logger.info(f"Connection closed: {close_status_code} - {close_msg}")
def on_error(self, ws, error):
"""错误处理的回调"""
logger.error(f"WebSocket error: {str(error)}")
def send_message(self, message_obj):
"""发送消息到WebSocket服务器"""
if self.is_connected():
try:
self.session.send(json.dumps(message_obj))
except Exception as e:
logger.error(f"Error sending message: {str(e)}")
else:
logger.warning("Cannot send message: Not connected")
def ping(self):
"""发送心跳包"""
ping_obj = {
"code": 10010,
"trace": "01213e9d-90a0-426e-a380-ebed633cba7a"
}
self.send_message(ping_obj)
# 使用示例
if __name__ == "__main__":
ws_client = WebsocketExample()
ws_client.connect_all()
# 保持主线程运行
try:
while True:
schedule.run_pending()
time.sleep(1)
except KeyboardInterrupt:
logger.info("Exiting...")
if ws_client.is_connected():
ws_client.session.close()
Infoway API实时行情数据接口
Infoway API实时行情接口涵盖各类资产,港股、美股以及加密货币的数据都有:
市场 | API |
港股 | 实时行情数据 |
实时十档盘口数据 | |
实时K线数据 | |
美股 | 实时行情数据 |
实时一档盘口数 | |
实时K线数据 | |
A股 | 沪深A股实时行情数据 |
沪深实时五档盘口数据 | |
沪深实时K线数据 | |
加密货币 | 实时行情数据 |
实时多档盘口数据 | |
实时K线数据 | |
外汇 | 实时行情数据 |
实时五档盘口数据 | |
实时K线数据 | |
贵金属 | 实时行情数据 |
实时五档盘口数据 | |
实时K线数据 |
【Github地址】
https://github.com/infoway-api/realtime-market-data-api
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