t

strategy/large_trans.py

@@ -7,17 +7,16 @@ import tg
 import traceback
 import logging
 
-cursor = '0-0-0'
 
 def strategy_run():
-    # 获取上一分钟的timestamp
-    last_min = datetime.now() - timedelta(minutes=settings.whaleAlert_minutes)
-    ts = time.mktime(last_min.timetuple())
-    global cursor
-    cursor_query = f"&cursor={cursor}" if cursor != '0-0-0' else ""
-    url = f'https://api.whale-alert.io/v1/transactions?api_key={settings.whaleAlert_apikey}&start={int(ts)}&min_value={settings.whaleAlert_max_limit}' + cursor_query
-    print(f'Request url: {url}')
-    resp = requests.get(url).json()
+    start_time = datetime.now() - timedelta(minutes=settings.whaleAlert_minutes)
+    start_ts = int(start_time.timestamp())
+    
+    url = f'https://api.whale-alert.io/v1/transactions?api_key={settings.whaleAlert_apikey}&start={start_ts}&min_value={settings.whaleAlert_max_limit}'
+    headers = {'Accept': 'application/json'}
+
+    resp = requests.get(url, headers=headers).json()
+    
     print(resp)
     if resp['result'] == "success":
         cursor = resp['cursor']
@@ -37,3 +36,4 @@ def strategy_run():
             tg.send_message(settings.chat_id, traceback.format_exc())
     else:
         print(resp['message'])
+        tg.send_message(settings.chat_id, traceback.format_exc())

strategy/support_resistance.py

@@ -1,44 +0,0 @@
-import talib
-import numpy as np
-import bn
-import tg
-import settings
-
-# 获取K线价格数据
-def get_prices(data):
-    # 提取最高价、最低价和收盘价
-    high_prices = [float(entry[2]) for entry in data]
-    low_prices = [float(entry[3]) for entry in data]
-    close_prices = [float(entry[4]) for entry in data]
-    return np.array(high_prices), np.array(low_prices), np.array(close_prices)
-
-
-# 计算支撑位和压力位
-def calculate_support_resistance(data):
-        # 获取价格数据
-    high_prices, low_prices, close_prices = get_prices(data)
-    
-    # 计算平均真实范围（ATR）
-    atr = talib.ATR(high_prices, low_prices, close_prices, timeperiod=14)
-    
-    # 计算支撑位和压力位
-    support = talib.SMA(close_prices - 1.618 * atr, timeperiod=20)
-    resistance = talib.SMA(close_prices + 1.618 * atr, timeperiod=20)
-
-    return support, resistance
-
-def strategy_run(symbol, interval):
-    # 获取kline数据
-    data = bn.klines(symbol, interval)
-
-    support_levels, resistance_levels = calculate_support_resistance(data)
-
-    # 打印支撑位和压力位
-    print("支撑位：", support_levels)
-    print("压力位：", resistance_levels)
-
-    # if check_bullish_crossover(data):
-    #     print('多头排列信号出现！')
-
-    #     text = f'${symbol} - {interval}\r\n\r\n出现【多头排列】信号'
-    #     tg.send_message(settings.chat_id, text)

strategy_test.py

@@ -1,9 +1,3 @@
-import strategy.support_resistance as sr
 import strategy.large_trans as lt
 
-
-
 lt.strategy_run()
-
-
-# sr.strategy_run('BTCUSDT', '1h')

test.py

@@ -32,4 +32,11 @@ import strategy.large_trans as lt
 # mpf.plot(df, type='line')
 
 
-lt.strategy_run()
+# lt.strategy_run()
+from datetime import datetime, timedelta
+import time,settings
+
+last_min = datetime.now() - timedelta(minutes=settings.whaleAlert_minutes)
+print(last_min)
+print(time.mktime(last_min.timetuple()))
+print(last_min.timestamp())