#這個牛逼的很
import requests
from datetime import datetime, timedelta
import time
import hmac
import hashlib
import base64
import urllib.parse
import json
def send_dingtalk_message(webhook, secret, message):
timestamp = str(round(time.time() * 1000))
secret_enc = secret.encode('utf-8')
string_to_sign = '{}\n{}'.format(timestamp, secret)
string_to_sign_enc = string_to_sign.encode('utf-8')
hmac_code = hmac.new(secret_enc, string_to_sign_enc, digestmod=hashlib.sha256).digest()
sign = urllib.parse.quote_plus(base64.b64encode(hmac_code))
webhook = '{}×tamp={}&sign={}'.format(webhook, timestamp, sign)
headers = {'Content-Type': 'application/json'}
data = {"msgtype": "text", "text": {"content": message}}
response = requests.post(url=webhook, headers=headers, data=json.dumps(data))
print(response.text)
def get_klines(symbol, interval, limit=500):
url = "https://fapi.binance.com/fapi/v1/klines"
params = {'symbol': symbol, 'interval': interval, 'limit': limit}
response = requests.get(url, params=params)
return response.json()
def calculate_ema(prices, days, smoothing=2):
ema = [sum(prices[:days]) / days]
for price in prices[days:]:
ema.append((price * (smoothing / (1 + days))) + ema[-1] * (1 - (smoothing / (1 + days))))
return ema
def calculate_macd(symbol, interval):
klines = get_klines(symbol, interval)
close_prices = [float(kline[4]) for kline in klines]
original_dates = [datetime.utcfromtimestamp(int(kline[0]) / 1000) for kline in klines]
fast_ema = calculate_ema(close_prices, 6)
slow_ema = calculate_ema(close_prices, 7)
dates = original_dates[-len(slow_ema):] # 調(diào)整dates以匹配slow_ema的長度
macd_line = [f - s for f, s in zip(fast_ema[-len(slow_ema):], slow_ema)]
signal_line = calculate_ema(macd_line, 4)
dates = dates[-len(signal_line):] # 再次調(diào)整dates以匹配signal_line的長度
macd_line = macd_line[-len(signal_line):] # 確保長度匹配
crosses = []
for i in range(1, len(signal_line)):
if macd_line[i] > signal_line[i] and macd_line[i - 1] < signal_line[i - 1] and macd_line[i] < 0:
crosses.append((dates[i] + timedelta(hours=8), '水下金叉預測上漲', macd_line[i]))
elif macd_line[i] < signal_line[i] and macd_line[i - 1] > signal_line[i - 1] and macd_line[i] > 0:
crosses.append((dates[i] + timedelta(hours=8), '水上死叉預測下跌', macd_line[i]))
return crosses
def main():
symbol = 'BTCUSDT'
interval = '3m'
sent_crosses = set() # 使用集合來存儲已發(fā)送的交叉點的時間戳
while True:
try:
crosses = calculate_macd(symbol, interval)
for cross in crosses[-1:]:
last_cross_date, cross_type, dif_value = cross
# 轉(zhuǎn)換為簡單的字符串格式以進行比較和存儲
cross_signature = f"{last_cross_date.strftime('%Y-%m-%d %H:%M:%S')}_{cross_type}"
if cross_signature not in sent_crosses:
sent_crosses.add(cross_signature) # 添加到已發(fā)送集合
message = f"{last_cross_date.strftime('%Y-%m-%d %H:%M:%S')} {cross_type} DIF數(shù)值: {dif_value:.4f} 穿越"
print(message)
# 發(fā)送釘釘消息
send_dingtalk_message(webhook_url, secret, message)
else:
print("已發(fā)送過的交叉點,跳過。")
except Exception as e:
print(f"Error: {e}")
time.sleep(2) # 等待2秒再次檢查
if __name__ == "__main__":
webhook_url = "https://oapi.dingtalk.com/robot/send?access_token=8a6ddcf98d3b47c63333580bfe9d0bad55b17272eea05cc9c0af7f7be4de070d"
secret = "你的秘鑰"
main()
3m水下和水上的金叉和死叉這個牛逼的很
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平臺聲明:文章內(nèi)容(如有圖片或視頻亦包括在內(nèi))由作者上傳并發(fā)布,文章內(nèi)容僅代表作者本人觀點,簡書系信息發(fā)布平臺,僅提供信息存儲服務。