feat: update ML threshold and configuration for improved model performance

- Added ML_THRESHOLD to .env.example and updated Config class to include ml_threshold with a default value of 0.55.
- Modified MLFilter initialization in bot.py to utilize the new ml_threshold configuration.
- Updated Jenkinsfile to change the registry URL for Docker image management.

These changes enhance the model's adaptability by allowing for a configurable machine learning threshold, improving overall performance.

src/bot.py

@@ -18,7 +18,7 @@ class TradingBot:
         self.exchange = BinanceFuturesClient(config)
         self.notifier = DiscordNotifier(config.discord_webhook_url)
         self.risk = RiskManager(config)
-        self.ml_filter = MLFilter()
+        self.ml_filter = MLFilter(threshold=config.ml_threshold)
         self.current_trade_side: str | None = None  # "LONG" | "SHORT"
         self._entry_price: float | None = None
         self._entry_quantity: float | None = None