96 lines
3.3 KiB
Python
96 lines
3.3 KiB
Python
import datetime
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import requests
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import pandas as pd
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headers = {
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'accept': 'application/json, text/plain, */*',
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'accept-language': 'zh,zh-CN;q=0.9,zh-HK;q=0.8,en;q=0.7',
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'cache-control': 'no-cache',
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'origin': 'https://www.websea.com',
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'pragma': 'no-cache',
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'priority': 'u=1, i',
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'referer': 'https://www.websea.com/',
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'sec-ch-ua': '"Chromium";v="140", "Not=A?Brand";v="24", "Google Chrome";v="140"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"Windows"',
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'same-site',
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'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/140.0.0.0 Safari/537.36',
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}
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if __name__ == '__main__':
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datas = []
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# 定义开始日期和结束日期
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time_ser = datetime.datetime(2025, 9, 25)
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# 获取当天开始时刻（00:00:00）
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start_of_day = time_ser.replace(hour=0, minute=0, second=0, microsecond=0)
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# 获取当天结束时刻（23:59:59）
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end_of_day = time_ser.replace(hour=23, minute=59, second=59, microsecond=0)
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# 将开始时刻和结束时刻转换为时间戳
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start_timestamp = start_of_day.timestamp()
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end_timestamp = end_of_day.timestamp()
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params = {
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'symbol': 'ETH-USDT',
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'period': '1min',
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'start': int(start_timestamp),
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'end': int(end_timestamp),
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}
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response = requests.get('https://capi.websea.com/webApi/market/getKline', params=params, headers=headers)
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# 提取数据
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data = response.json()['result']['data']
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# 根据 id 进行排序
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sorted_data = sorted(data, key=lambda x: x['id'])
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low_data = None
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n = 0
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n1 = 0
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for _, i in enumerate(sorted_data):
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if not low_data:
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low_data = i
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continue
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# 当前一笔是多
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if i['open'] < i['close']:
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if low_data['open'] < low_data['close']:
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if float(i['open']) < float(low_data['open']) and float(i['close']) > float(low_data['close']):
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try:
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if sorted_data[_ + 3]["open"] > i['open'] and sorted_data[_ + 3]["close"] > i['close']:
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print(f"老数据:{low_data}")
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print(f"老数据:{i}")
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print(f"新数据:{sorted_data[_ + 3]}")
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print("做多" + "-" * 50)
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except:
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pass
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# if float(i['open']) < float(low_data['open']) and float(i['close']) < float(low_data['close']):
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#
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# try:
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# if sorted_data[_ + 3]["open"] < i['open'] and sorted_data[_ + 3]["close"] < i['close']:
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# print(f"老数据:{i}")
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# print(f"新数据:{sorted_data[_ + 3]}")
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#
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# print("做空" + "-" * 50)
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# except:
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# pass
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low_data = i
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print(n)
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# 第一种情况：当前一笔是涨的，这里又有两种情况。第一种情况：前一笔是涨的，然后当前一笔的价格，开盘的价格小于前一笔，结盘的价格大于前一笔；第二种情况：前一笔是跌的，当前一笔的开盘价格低于前一笔的结盘价格，当前一笔的结盘价格，大于前一笔的开盘价格 |