from datetime import datetime import time from config import * from monitor_min import Monitor class MonitorCoin (Monitor): """자산(코인/주식/ETF) 모니터링 및 매수 실행 클래스""" def __init__(self, cooldown_file: str = './resources/coins_buy_time.json') -> None: super().__init__(cooldown_file) def monitor_coins(self) -> None: tmps = self.getBalances() balances = {} for tmp in tmps: balances[tmp['currency']] = {'balance': float(tmp['balance']), 'avg_buy_price': float(tmp['avg_buy_price'])} for symbol in KR_COINS_2: print("[{}] {}".format(datetime.now().strftime('%Y-%m-%d %H:%M:%S'), symbol)) interval = 1440 data = self.get_coin_some_data(symbol, interval) data = self.calculate_technical_indicators(data) recent_data = self.annotate_signals(symbol, data) if recent_data['point'].iloc[-1] == 1: interval = 60 data = self.get_coin_some_data(symbol, interval) if data is not None and not data.empty: try: inverseData= self.inverse_data(data) recent_inverseData = self.annotate_signals(symbol, inverseData) _ = self.buy_sell_ticker_1h(symbol, recent_inverseData, balances=balances, is_inverse=True) data = self.calculate_technical_indicators(data) recent_data = self.annotate_signals(symbol, data) _ = self.buy_sell_ticker_1h(symbol, recent_data, balances=None, is_inverse=False) except Exception as e: print(f"Error processing data for {symbol}: {str(e)}") else: print(f"Data for {symbol} is empty or None.") time.sleep(1) return # ------------- Scheduler ------------- def run_schedule(self) -> None: while True: self.monitor_coins() time.sleep(3) if __name__ == "__main__": MonitorCoin(cooldown_file='./resources/coins_buy_time_1h_2.json').run_schedule()