Building a Simple Stock Monitoring Bot with Feishu and Python

Implementation Idea

Periodically obtain real‑time stock prices, compare them with predefined warning thresholds, and push a message to Feishu when the price crosses the threshold.

Development Steps

1. Create a group bot

Create a Feishu group, go to the group settings, and click the "Group Bot" menu. Add a new custom bot, fill in a name and description, and obtain a webhook URL.

Send messages to the webhook using the following Python function:

def send_to_feishu(content):
    url = "https://open.feishu.cn/open-apis/bot/v2/hook/3c6d60b8-xxx"  # actual webhook address
    msg = {"msg_type": "text", "content": {"text": content}}
    res = requests.post(url, json=msg)
    print(res.json())  # print result for debugging

2. Develop the stock monitor

Define a list of stocks, each with a code, minimum and maximum price. For each stock, fetch the latest price from Sina's API, compare it with the thresholds, and send a Feishu alert if needed.

# Get real‑time price
def get_price(code):
    url = f'http://ifzq.gtimg.cn/appstock/app/kline/mkline?param={code},m1,,10'
    print(url)
    resp = requests.get(url).json()
    if resp['code'] != 0:
        return "", []
    stock_name = resp['data'][code]['qt'][code][1]
    latest_prices = resp['data'][code]["m1"][-1]
    return stock_name, latest_prices

# Monitoring loop
def monitor():
    stocks = [
        {"code": "sh688068", "min": 230, "max": 239},
        {"code": "sh000001", "min": 3530, "max": 3550}
    ]
    for c in stocks:
        print(f'check => {c["code"]}')
        stock_name, prices = get_price(c["code"])
        print(prices)
        if not prices:
            continue
        if float(prices[3]) < c["min"]:
            content = f'{stock_name}({c["code"]})当前价格:{prices[3]}<最低价({c["min"]})'
            send_to_feishu(content)
        if float(prices[2]) > c["max"]:
            content = f'{stock_name}({c["code"]})当前价格:{prices[2]}>监控价({c["max"]})'
            send_to_feishu(content)

3. Implement the scheduled task

Use the third‑party schedule library to run the monitor every five minutes.

schedule.every(5).minutes.do(monitor)
while True:
    schedule.run_pending()
    time.sleep(1)

The bot will now push Feishu notifications whenever a monitored stock price falls below the minimum or rises above the maximum threshold.

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