火币和ZB网站域名经常换，页面也经常改，只保证发布文章时能用，将来要用自己改改URL地址一类的。
代码涉及到websocket和requests采集数据，使用pyquery解析HTML页面，colorama输出彩色文本。
功能：
自动采集火币和ZB同种货币，实时采集USDT和QC的OTC法币买卖价格，支持过滤异常价格OTC订单。
将数字货币价格换算成法币买卖价格后计算差价，差价超过1%时候，箭头提示搬砖方向。
可以自行配置监控的货币种类，黄色突出显示，达到指定差价时声音报警。
例如：
alert = { 'hsr': {'hb': {'enable': True, 'profit': 2}, 'zb': {'enable': True, 'profit': 2}}, 'eth': {'hb': {'enable': True, 'profit': 2}, 'zb': {'enable': True, 'profit': 2}},
}可增加多行，按格式复制，enable设置True表示报警，设置False表示不报警。profit指定报警的差价。
安装方法：
下载Python 3安装
https://www.python.org/ftp/python/3.7.0/python-3.7.0-amd64.exe
然后命令行依次执行下列指令安装依赖包
pip install websocket-client pip install requests pip install pyquery pip install colorama
最后执行
python bitcoin.py
即可运行，关闭的话，按Ctrl+C。
代码如下，比较简单，就不注释了。
from websocket import create_connectionfrom pyquery import PyQueryfrom colorama import init, Foreimport requestsimport socketimport gzipimport json
alert = { 'hsr': {'hb': {'enable': True, 'profit': 2}, 'zb': {'enable': True, 'profit': 2}}, 'eth': {'hb': {'enable': True, 'profit': 2}, 'zb': {'enable': True, 'profit': 2}},
}
otc = {'usdt': {'sell': 0.0, 'buy': 0.0}, 'qc': {'sell': 0.0, 'buy': 0.0}}
markets = dict()def run_client():
ws = create_connection("wss://www.hbg.com/-/s/pro/ws")
ws.send(json.dumps({'sub': 'market.overview'})) while True:
data = ws.recv()
result = gzip.decompress(data)
obj = json.loads(result) if 'ping' in obj:
ws.send(json.dumps({'pong': obj['ping']}))
refresh()
output() elif 'ch' in obj: for data in obj['data']: if data['symbol'].endswith('usdt'):
key = data['symbol'].replace('usdt', '') if not key in markets:
markets[key] = dict()
markets[key]['hb'] = {'last': data['close']}def run_forever(): while True: try:
run_client() except Exception as e: print(type(e), e.args) except KeyboardInterrupt: breakdef refresh(): try:
url = "http://api.zb.cn/data/v1/allTicker"
r = requests.get(url)
obj = r.json() for key in obj: if key.endswith('qc'):
currency = key.replace('qc', '') if currency == 'bcc':
currency = 'bch'
if currency in markets:
markets[currency]['zb'] = {'last': float(obj[key]['last']), 'sell': float(obj[key]['sell']), 'buy': float(obj[key]['buy'])} except Exception as e: print(type(e), e.args)def output():
get_hb_price(1)
get_hb_price(2)
get_zb_price(1)
get_zb_price(2)
beep = ''
print('┌───────┬─────────────────────────────────────┬───────┬─────────────────────────────────────┐') print('│ USDT │ SELL: {0:.2f} BUY: {1:.2f} │ QC │ SELL: {2:.3f} BUY: {3:.3f} │'.format(\
otc['usdt']['sell'], otc['usdt']['buy'], otc['qc']['sell'], otc['qc']['buy'])) print('├───────┼─────────────────────────────────────┴───────┴───────────────┬─────────────────────┤') for key in markets: if 'zb' in markets[key]:
hb = markets[key]['hb']['last']
zb = markets[key]['zb']['last']
profit_hb = 100 / hb / otc['usdt']['sell'] * zb * otc['qc']['buy'] - 100
profit_zb = 100 / otc['qc']['sell'] / zb * hb * otc['usdt']['buy'] - 100 if key in alert: if (alert[key]['hb']['enable'] and profit_hb > alert[key]['hb']['profit']) or (alert[key]['zb']['enable'] and profit_zb > alert[key]['zb']['profit']):
beep = '\a'
color = Fore.YELLOW else:
color = Fore.RESET if profit_hb > 1:
dir = '>>'
elif profit_zb > 1:
dir = '<<'
else:
dir = ' '
str = "│{0} {1:^4} \033[0m│{0} {2:>6.2f} {3:>8} {4:>8} {5:} {6:>6.2f} {7:>8} {8:>8} \033[0m│{0} {9:>8} {10:>8} \033[0m│".format(\
color, key.upper(), profit_hb, format_price(hb * otc['usdt']['sell']), format_price(zb * otc['qc']['buy']), dir, \
profit_zb, format_price(hb * otc['usdt']['buy']), format_price(zb * otc['qc']['sell']), format_price(hb), format_price(zb)) print(str) print('└───────┴─────────────────────────────────────────────────────────────┴─────────────────────┘' + beep)def get_hb_price(trade=1): if trade == 1:
tradeType = 'buy'
else:
tradeType = 'sell'
try:
url = "https://otc-api.hbg.com/v1/data/trade-market?country=37¤cy=1&payMethod=0&currPage=1&coinId=2&tradeType={0}&blockType=general&online=1".format(tradeType)
r = requests.get(url)
obj = r.json() for data in obj['data']: if data['minTradeLimit'] <= 20000 and data['maxTradeLimit'] >= 5000:
otc['usdt'][tradeType] = data['price'] break
except Exception as e: print(type(e), e.args)def get_zb_price(trade=1): if trade == 1:
tradeType = 'buy'
else:
tradeType = 'sell'
try:
url = "https://vip.zb.cn/otc/trade/qc_cny?type={0}".format(trade)
s = requests.session()
s.headers['Accept-Language'] = 'zh-Hans-CN, zh-Hans; q=0.5'
s.headers['User-Agent'] = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.140 Safari/537.36 Edge/17.17134'
r = s.get(url) if len(r.text):
d = PyQuery(r.text)
tr = d('table.c2c-table')('tr:gt(0) td.price') for td in tr:
l = PyQuery(td).text().splitlines()
price = float(l[0][:-4])
min = float(l[1].split('-')[0])
max = float(l[1].split('-')[1]) if min <= 20000 and max >= 5000:
otc['qc'][tradeType] = price break
except Exception as e: print(type(e), e.args)def format_price(price):
price = str(price)[:8] return float(price)def main():
init()
socket.setdefaulttimeout(10)
run_forever()if __name__ == '__main__':
main()
原文出处：https://www.cnblogs.com/norfa/p/9500831.html
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