1

main.py

@@ -5,8 +5,7 @@ import time
 import signals.ma_arrangement as maa
 import monitors.large_transfer as lt
 
-# 获取交易所交易对
-symbols = bn.symbols()
+symbols = ['BTCUSDT','ETHUSDT','FILUSDT','MASKUSDT','DOGEUSDT','CFXUSDT','LTCUSDT']
 
 for s in symbols:
     #15m

settings.py

@@ -18,4 +18,4 @@ oklink_api_headers = {
 #whaleAlert
 whaleAlert_minutes=1
 whaleAlert_apikey='gPkElMPR8Hpe5LxjKisR4YSFzxRxMLj6'
-whaleAlert_max_limit = os.getenv('TQ_WHALEALERT_MAX_USD_AMOUNT',1000 * 10000)
+whaleAlert_max_limit = os.getenv('TQ_WHALEALERT_MAX_USD_AMOUNT',5000 * 10000)

signals/ma_arrangement.py

@@ -5,11 +5,12 @@ import tg
 import datetime
 import settings
 
+flags = {}
 
 def check_ma_arrange(data):
-     # 提取收盘价
+    # 提取收盘价
     close_prices = np.array([float(entry[4]) for entry in data])
-    
+
     # 计算移动平均线
     ema7 = talib.EMA(close_prices, timeperiod=7)
     ema30 = talib.EMA(close_prices, timeperiod=30)
@@ -20,7 +21,7 @@ def check_ma_arrange(data):
     bearish = ema7[-1] < ema30[-1] < ema100[-1] < ema200[-1]
 
     return bullish, bearish
-    
+
 
 def run(symbol, interval):
     # 获取kline数据
@@ -28,12 +29,15 @@ def run(symbol, interval):
 
     bullish, bearish = check_ma_arrange(data)
 
-    text=""
-    if bullish:
+    flag_name = symbol + '_' + interval
+    text = ""
+    if bullish and (flag_name not in flags or flags[flag_name] == False):
+        flags[flag_name] = True
         text = f'📶信号预警📶\r\n\r\n品种：【${symbol}】\r\n周期：{interval}\r\n信号：【多头】排列\r\n\r\n{datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")}'
-    if bearish:
+    if bearish and (flag_name not in flags or flags[flag_name] == True):
+        flags[flag_name] = False
         text = f'📶信号预警📶\r\n\r\n品种：【${symbol}】\r\n周期：{interval}\r\n信号：【空头】排列\r\n\r\n{datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")}'
-    
+
     if text != "":
         print(text)
         tg.send_message(settings.chat_id, text)

test.py

@@ -3,13 +3,7 @@ import pandas as pd
 import mplfinance as mpf
 import datetime as dt
 import monitors.large_transfer as lt
+from binance.spot import Spot
 
-
-klines = bn.klines('BTCUSDT', '1h', limit=10)
-
-# print(klines[0])
-
-# print(klines[0][0])
-dt = dt.datetime.fromtimestamp((klines[-1][0]/1000))
-
-print(dt)
+symbols = bn.symbols()
+print(symbols)