WLD 전용 BB MTF 전략 및 HTML 시뮬 최적화

- strategy.py, candle_features.py, rule_discovery.py로 다봉 BB·캔들 규칙 탐색
- simulation_1h.py: discover 명령, 기본 BB vs 탐색 규칙 자동 선택, Plotly Y축 줌
- mtf_bb.py, downloader/monitor 정리, 다코인 파일 제거

Co-authored-by: Cursor <cursoragent@cursor.com>

monitor_coin.py

@@ -1,52 +1,39 @@
+"""
+WLD(월드코인) 실시간 모니터 — 3분 BB MTF (평균회귀 + 돌파).
+
+전략: strategy.py
+"""
+
 from datetime import datetime
 import time
-from config import *
 
+from config import COIN_NAME, COOLDOWN_FILE, MONITOR_LOOP_SLEEP_SEC, SYMBOL
 from monitor import Monitor
 
-class MonitorCoin (Monitor):
-    """자산(코인/주식/ETF) 모니터링 및 매수 실행 클래스"""
 
-    def __init__(self, cooldown_file: str = 'coins_buy_time.json') -> None:
+class MonitorCoin(Monitor):
+    """WLD 모니터링 및 매매 실행."""
+
+    def __init__(self, cooldown_file: str = COOLDOWN_FILE) -> 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'])}
+    def monitor_wld(self) -> None:
+        """일봉·1시간 추세 + 3분 신호로 현물 매수/매도."""
+        balances = self.load_balances_dict()
+        print(
+            "[{}] {} ({})".format(
+                datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
+                COIN_NAME,
+                SYMBOL,
+            )
+        )
+        self.process_wld_mtf(SYMBOL, balances=balances)
 
-        print("[{}] KRW COINs: {}".format(datetime.now().strftime('%Y-%m-%d %H:%M:%S'), ','.join(KR_COINS.keys())))
-        for symbol in KR_COINS:
-            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)
-                    if not self.buy_sell_ticker_1h(symbol, recent_inverseData, balances=balances, is_inverse=True):
-                        pass
-
-                    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(0.5)
-
-        return
-    # ------------- Scheduler -------------
     def run_schedule(self) -> None:
-
         while True:
-            self.monitor_coins()
-            time.sleep(10)
+            self.monitor_wld()
+            time.sleep(MONITOR_LOOP_SLEEP_SEC)
+
 
 if __name__ == "__main__":
-    KR_COINS.keys()
-
     MonitorCoin().run_schedule()