ManualTrader/src/telegram_bot.py

#!/usr/bin/env python3
"""
Telegram Bot for Hyperliquid Trading

This module provides a Telegram interface for manual Hyperliquid trading
with comprehensive statistics tracking and phone-friendly controls.
"""

import logging
import asyncio
import re
import json
import os
from datetime import datetime, timedelta
from typing import Optional, Dict, Any, List, Tuple
from telegram import Update, InlineKeyboardButton, InlineKeyboardMarkup, ReplyKeyboardMarkup, KeyboardButton
from telegram.ext import Application, CommandHandler, CallbackQueryHandler, ContextTypes, MessageHandler, filters
from hyperliquid_client import HyperliquidClient
from trading_stats import TradingStats
from config import Config
from alarm_manager import AlarmManager
from logging_config import setup_logging, cleanup_logs, format_log_stats

# Set up logging using the new configuration system
logger = setup_logging().getChild(__name__)

class TelegramTradingBot:
    """Telegram trading bot for manual trading operations."""
    
    def __init__(self):
        """Initialize the Telegram trading bot."""
        self.client = HyperliquidClient()
        self.application = None
        self.order_monitoring_task = None
        self.last_filled_orders = set()
        self.alarms = []  # List to store price alarms
        self.bot_heartbeat_seconds = getattr(Config, 'BOT_HEARTBEAT_SECONDS', 10)
        self.external_trade_timestamps = set()  # Track external trade timestamps to avoid duplicates
        self.last_position_check = {}  # Track last position state for comparison
        self._position_tracker = {}  # For enhanced position tracking
        self.stats = None
        self.version = "Unknown"  # Will be set by launcher
        
        # Bot state persistence file
        self.bot_state_file = "bot_state.json"
        
        # Order monitoring attributes
        self.monitoring_active = False
        self.last_known_orders = set()  # Track order IDs we've seen
        self.last_known_positions = {}  # Track position sizes for P&L calculation
        
        # External trade monitoring
        self.last_processed_trade_time = None  # Track last processed external trade
        
        # Deposit/Withdrawal monitoring
        self.last_deposit_withdrawal_check = None  # Track last deposit/withdrawal check
        self.deposit_withdrawal_check_interval = 3600  # Check every hour (3600 seconds)
        
        # Alarm management
        self.alarm_manager = AlarmManager()
        
        # Pending stop loss storage
        self.pending_stop_losses = {}  # Format: {order_id: {'token': str, 'stop_price': float, 'side': str, 'amount': float, 'order_type': str}}
        
        # Load bot state first, then initialize stats
        self._load_bot_state()
        self._initialize_stats()
    
    def _load_bot_state(self):
        """Load bot state from disk."""
        try:
            if os.path.exists(self.bot_state_file):
                with open(self.bot_state_file, 'r') as f:
                    state_data = json.load(f)
                
                # Restore critical state
                self.pending_stop_losses = state_data.get('pending_stop_losses', {})
                self.last_known_orders = set(state_data.get('last_known_orders', []))
                self.last_known_positions = state_data.get('last_known_positions', {})
                
                # Restore timestamps (convert from ISO string if present)
                last_trade_time = state_data.get('last_processed_trade_time')
                if last_trade_time:
                    try:
                        self.last_processed_trade_time = datetime.fromisoformat(last_trade_time)
                    except (ValueError, TypeError):
                        self.last_processed_trade_time = None
                
                last_deposit_check = state_data.get('last_deposit_withdrawal_check')
                if last_deposit_check:
                    try:
                        self.last_deposit_withdrawal_check = datetime.fromisoformat(last_deposit_check)
                    except (ValueError, TypeError):
                        self.last_deposit_withdrawal_check = None
                
                logger.info(f"🔄 Restored bot state: {len(self.pending_stop_losses)} pending stop losses, {len(self.last_known_orders)} tracked orders")
                
                # Log details about restored pending stop losses
                if self.pending_stop_losses:
                    for order_id, stop_loss_info in self.pending_stop_losses.items():
                        token = stop_loss_info.get('token', 'Unknown')
                        stop_price = stop_loss_info.get('stop_price', 0)
                        order_type = stop_loss_info.get('order_type', 'Unknown')
                        logger.info(f"📋 Restored pending stop loss: {order_id} -> {token} {order_type} @ ${stop_price}")
                        
        except Exception as e:
            logger.error(f"❌ Error loading bot state: {e}")
            # Initialize with defaults
            self.pending_stop_losses = {}
            self.last_known_orders = set()
            self.last_known_positions = {}
            self.last_processed_trade_time = None
            self.last_deposit_withdrawal_check = None
    
    def _save_bot_state(self):
        """Save bot state to disk."""
        try:
            state_data = {
                'pending_stop_losses': self.pending_stop_losses,
                'last_known_orders': list(self.last_known_orders),  # Convert set to list for JSON
                'last_known_positions': self.last_known_positions,
                'last_processed_trade_time': self.last_processed_trade_time.isoformat() if self.last_processed_trade_time else None,
                'last_deposit_withdrawal_check': self.last_deposit_withdrawal_check.isoformat() if self.last_deposit_withdrawal_check else None,
                'last_updated': datetime.now().isoformat(),
                'version': self.version
            }
            
            with open(self.bot_state_file, 'w') as f:
                json.dump(state_data, f, indent=2, default=str)
                
            logger.debug(f"💾 Saved bot state: {len(self.pending_stop_losses)} pending stop losses")
            
        except Exception as e:
            logger.error(f"❌ Error saving bot state: {e}")

    def _initialize_stats(self):
        """Initialize stats with current balance."""
        try:
            # Initialize TradingStats object first
            self.stats = TradingStats()
            
            # Get current balance and set it as initial balance
            balance = self.client.get_balance()
            if balance and balance.get('total'):
                # Get USDC balance as the main balance
                usdc_balance = float(balance['total'].get('USDC', 0))
                self.stats.set_initial_balance(usdc_balance)
        except Exception as e:
            logger.error(f"Could not initialize stats: {e}")
    
    def is_authorized(self, chat_id: str) -> bool:
        """Check if the chat ID is authorized to use the bot."""
        return str(chat_id) == str(Config.TELEGRAM_CHAT_ID)
    
    async def send_message(self, text: str, parse_mode: str = 'HTML') -> None:
        """Send a message to the authorized chat."""
        if self.application and Config.TELEGRAM_CHAT_ID:
            try:
                await self.application.bot.send_message(
                    chat_id=Config.TELEGRAM_CHAT_ID,
                    text=text,
                    parse_mode=parse_mode
                )
            except Exception as e:
                logger.error(f"Failed to send message: {e}")
    
    def _create_custom_keyboard(self) -> Optional[ReplyKeyboardMarkup]:
        """Create a custom keyboard from configuration."""
        if not Config.TELEGRAM_CUSTOM_KEYBOARD_ENABLED:
            return None
        
        try:
            layout = Config.TELEGRAM_CUSTOM_KEYBOARD_LAYOUT
            # Parse the layout: "cmd1,cmd2,cmd3|cmd4,cmd5|cmd6,cmd7,cmd8,cmd9"
            rows = layout.split('|')
            keyboard = []
            
            for row in rows:
                commands = [cmd.strip() for cmd in row.split(',') if cmd.strip()]
                if commands:
                    keyboard.append([KeyboardButton(cmd.lstrip('/').capitalize()) for cmd in commands])
            
            if keyboard:
                return ReplyKeyboardMarkup(
                    keyboard,
                    resize_keyboard=True,  # Resize to fit screen
                    one_time_keyboard=False,  # Keep keyboard persistent
                    selective=True  # Show only to authorized users
                )
        except Exception as e:
            logger.error(f"Failed to create custom keyboard: {e}")
        
        return None
    
    async def start_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /start command."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        welcome_text = """
🤖 <b>Welcome to Hyperliquid Trading Bot</b>

📱 <b>Quick Actions:</b>
• Trading: /long BTC 100 or /short ETH 50
• Exit: /exit BTC (closes position)
• Info: /balance, /positions, /orders

📊 <b>Market Data:</b>
• /market - Detailed market overview
• /price - Quick price check

<b>⚡ Quick Commands:</b>
• /balance - Account balance  
• /positions - Open positions
• /orders - Active orders
• /market - Market data & prices

<b>🚀 Trading:</b>
• /long BTC 100 - Long position
• /long BTC 100 45000 - Limit order
• /long BTC 100 sl:44000 - With stop loss
• /short ETH 50 - Short position  
• /short ETH 50 3500 sl:3600 - With stop loss
• /exit BTC - Close position
• /coo BTC - Cancel open orders

<b>🛡️ Risk Management:</b>
• Enabled: {risk_enabled}
• Auto Stop Loss: {stop_loss}%
• Order Stop Loss: Use sl:price parameter
• /sl BTC 44000 - Manual stop loss
• /tp BTC 50000 - Take profit order

<b>📈 Performance & Analytics:</b>
• /stats - Complete trading statistics
• /performance - Token performance ranking & detailed stats
• /daily - Daily performance (last 10 days)
• /weekly - Weekly performance (last 10 weeks)
• /monthly - Monthly performance (last 10 months)
• /risk - Sharpe ratio, drawdown, VaR
• /version - Bot version & system information
• /trades - Recent trade history

<b>🔔 Price Alerts:</b>
• /alarm - List all active alarms
• /alarm BTC 50000 - Set alarm for BTC at $50,000
• /alarm BTC - Show all BTC alarms
• /alarm 3 - Remove alarm ID 3

<b>🔄 Automatic Monitoring:</b>
• Real-time order fill alerts
• Position opened/closed notifications  
• P&L calculations on trade closure
• Price alarm triggers
• External trade detection & sync
• Auto stats synchronization
• Automatic stop loss placement
• {heartbeat}-second monitoring interval

<b>📊 Universal Trade Tracking:</b>
• Bot trades: Full logging & notifications
• Platform trades: Auto-detected & synced
• Mobile app trades: Monitored & recorded
• API trades: Tracked & included in stats

Type /help for detailed command information.

<b>🔄 Order Monitoring:</b>
• /monitoring - View monitoring status
• /logs - View log file statistics and cleanup

<b>⚙️ Configuration:</b>
• Symbol: {symbol}
• Default Token: {symbol}
• Network: {network}

<b>🛡️ Safety Features:</b>
• All trades logged automatically
• Comprehensive performance tracking
• Real-time balance monitoring
• Risk metrics calculation
• Automatic stop loss protection

<b>📱 Mobile Optimized:</b>
• Quick action buttons
• Instant notifications
• Clean, readable layout
• One-tap commands

<b>💡 Quick Access:</b>
• /commands or /c - One-tap button menu for all commands
• Buttons below for instant access to key functions

For support, contact your bot administrator.
        """.format(
            symbol=Config.DEFAULT_TRADING_TOKEN,
            network="Testnet" if Config.HYPERLIQUID_TESTNET else "Mainnet",
            risk_enabled=Config.RISK_MANAGEMENT_ENABLED,
            stop_loss=Config.STOP_LOSS_PERCENTAGE,
            heartbeat=Config.BOT_HEARTBEAT_SECONDS
        )
        
        keyboard = [
            [
                InlineKeyboardButton("💰 Balance", callback_data="balance"),
                InlineKeyboardButton("📊 Stats", callback_data="stats")
            ],
            [
                InlineKeyboardButton("📈 Positions", callback_data="positions"),
                InlineKeyboardButton("📋 Orders", callback_data="orders")
            ],
            [
                InlineKeyboardButton("💵 Price", callback_data="price"),
                InlineKeyboardButton("📊 Market", callback_data="market")
            ],
            [
                InlineKeyboardButton("🔄 Recent Trades", callback_data="trades"),
                InlineKeyboardButton("⚙️ Help", callback_data="help")
            ]
        ]
        reply_markup = InlineKeyboardMarkup(keyboard)
        
        # Create custom keyboard for persistent buttons
        custom_keyboard = self._create_custom_keyboard()
        
        # Send message with inline keyboard
        await update.message.reply_text(
            welcome_text, 
            parse_mode='HTML', 
            reply_markup=reply_markup
        )
        
        # If custom keyboard is enabled, send a follow-up message to set the custom keyboard
        if custom_keyboard:
            await update.message.reply_text(
                "⌨️ <b>Custom keyboard enabled!</b>\n\nUse the buttons below for quick access to commands:",
                parse_mode='HTML',
                reply_markup=custom_keyboard
            )
    
    async def help_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /help command."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        help_text = """
🔧 <b>Hyperliquid Trading Bot - Complete Guide</b>

<b>💼 Account Management:</b>
• /balance - Show account balance
• /positions - Show open positions  
• /orders - Show open orders
• /balance_adjustments - View deposit/withdrawal history

<b>📊 Market Data:</b>
• /market - Detailed market data (default token)
• /market BTC - Market data for specific token
• /price - Quick price check (default token)
• /price SOL - Price for specific token

<b>🚀 Perps Trading:</b>
• /long BTC 100 - Long BTC with $100 USDC (Market Order)
• /long BTC 100 45000 - Long BTC with $100 USDC at $45,000 (Limit Order)
• /long BTC 100 sl:44000 - Market order with automatic stop loss
• /long BTC 100 45000 sl:44000 - Limit order with automatic stop loss
• /short ETH 50 - Short ETH with $50 USDC (Market Order)
• /short ETH 50 3500 - Short ETH with $50 USDC at $3,500 (Limit Order)
• /short ETH 50 sl:3600 - Market order with automatic stop loss
• /short ETH 50 3500 sl:3600 - Limit order with automatic stop loss
• /exit BTC - Close BTC position with Market Order

<b>🛡️ Risk Management:</b>
• /sl BTC 44000 - Set stop loss for BTC at $44,000
• /tp BTC 50000 - Set take profit for BTC at $50,000

<b>🚨 Automatic Stop Loss:</b>
• Enabled: {risk_enabled}
• Stop Loss: {stop_loss}% (automatic execution)
• Monitoring: Every {heartbeat} seconds
• Order-based: Use sl:price parameter for automatic placement

<b>📋 Order Management:</b>
• /orders - Show all open orders
• /orders BTC - Show open orders for BTC only
• /coo BTC - Cancel all open orders for BTC

<b>📈 Statistics & Analytics:</b>
• /stats - Complete trading statistics
• /performance - Win rate, profit factor, etc.
• /risk - Sharpe ratio, drawdown, VaR
• /version - Bot version & system information
• /trades - Recent trade history

<b>🔔 Price Alerts:</b>
• /alarm - List all active alarms
• /alarm BTC 50000 - Set alarm for BTC at $50,000
• /alarm BTC - Show all BTC alarms
• /alarm 3 - Remove alarm ID 3

<b>🔄 Order Monitoring:</b>
• /monitoring - View monitoring status
• /logs - View log file statistics and cleanup

<b>⚙️ Configuration:</b>
• Symbol: {symbol}
• Default Token: {symbol}
• Network: {network}

<b>🛡️ Safety Features:</b>
• All trades logged automatically
• Comprehensive performance tracking
• Real-time balance monitoring
• Deposit/withdrawal tracking (hourly)
• Risk metrics calculation
• Automatic stop loss placement

<b>📱 Mobile Optimized:</b>
• Quick action buttons
• Instant notifications
• Clean, readable layout
• One-tap commands

For support, contact your bot administrator.
        """.format(
            symbol=Config.DEFAULT_TRADING_TOKEN,
            network="Testnet" if Config.HYPERLIQUID_TESTNET else "Mainnet",
            risk_enabled=Config.RISK_MANAGEMENT_ENABLED,
            stop_loss=Config.STOP_LOSS_PERCENTAGE,
            heartbeat=Config.BOT_HEARTBEAT_SECONDS
        )
        
        await update.message.reply_text(help_text, parse_mode='HTML')

    async def commands_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /commands and /c command with quick action buttons."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        commands_text = """
📱 <b>Quick Commands</b>

Tap any button below for instant access to bot functions:

💡 <b>Pro Tip:</b> These buttons work the same as typing the commands manually, but faster!
        """
        
        keyboard = [
            [
                InlineKeyboardButton("💰 Balance", callback_data="balance"),
                InlineKeyboardButton("📈 Positions", callback_data="positions")
            ],
            [
                InlineKeyboardButton("📋 Orders", callback_data="orders"),
                InlineKeyboardButton("📊 Stats", callback_data="stats")
            ],
            [
                InlineKeyboardButton("💵 Price", callback_data="price"),
                InlineKeyboardButton("📊 Market", callback_data="market")
            ],
            [
                InlineKeyboardButton("🏆 Performance", callback_data="performance"),
                InlineKeyboardButton("🔔 Alarms", callback_data="alarm")
            ],
            [
                InlineKeyboardButton("📅 Daily", callback_data="daily"),
                InlineKeyboardButton("📊 Weekly", callback_data="weekly")
            ],
            [
                InlineKeyboardButton("📆 Monthly", callback_data="monthly"),
                InlineKeyboardButton("🔄 Trades", callback_data="trades")
            ],
            [
                InlineKeyboardButton("🔄 Monitoring", callback_data="monitoring"),
                InlineKeyboardButton("📝 Logs", callback_data="logs")
            ],
            [
                InlineKeyboardButton("⚙️ Help", callback_data="help")
            ]
        ]
        reply_markup = InlineKeyboardMarkup(keyboard)
        
        await update.message.reply_text(commands_text, parse_mode='HTML', reply_markup=reply_markup)
    
    async def stats_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /stats command."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        # Get current balance for stats
        balance = self.client.get_balance()
        current_balance = 0
        if balance and balance.get('total'):
            current_balance = float(balance['total'].get('USDC', 0))
        
        stats_message = self.stats.format_stats_message(current_balance)
        await update.message.reply_text(stats_message, parse_mode='HTML')
    
    async def trades_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /trades command."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        recent_trades = self.stats.get_recent_trades(10)
        
        if not recent_trades:
            await update.message.reply_text("📝 No trades recorded yet.")
            return
        
        trades_text = "🔄 <b>Recent Trades</b>\n\n"
        
        for trade in reversed(recent_trades[-5:]):  # Show last 5 trades
            timestamp = datetime.fromisoformat(trade['timestamp']).strftime('%m/%d %H:%M')
            side_emoji = "🟢" if trade['side'] == 'buy' else "🔴"
            
            trades_text += f"{side_emoji} <b>{trade['side'].upper()}</b> {trade['amount']} {trade['symbol']}\n"
            trades_text += f"   💰 ${trade['price']:,.2f} | 💵 ${trade['value']:,.2f}\n"
            trades_text += f"   📅 {timestamp}\n\n"
        
        await update.message.reply_text(trades_text, parse_mode='HTML')
    
    async def balance_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /balance command."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        balance = self.client.get_balance()
        if balance:
            balance_text = "💰 <b>Account Balance</b>\n\n"
            
            # CCXT balance structure includes 'free', 'used', and 'total'
            total_balance = balance.get('total', {})
            free_balance = balance.get('free', {})
            used_balance = balance.get('used', {})
            
            if total_balance:
                total_value = 0
                available_value = 0
                
                # Display individual assets
                for asset, amount in total_balance.items():
                    if float(amount) > 0:
                        free_amount = float(free_balance.get(asset, 0))
                        used_amount = float(used_balance.get(asset, 0))
                        
                        balance_text += f"💵 <b>{asset}:</b>\n"
                        balance_text += f"   📊 Total: {amount}\n"
                        balance_text += f"   ✅ Available: {free_amount}\n"
                        
                        if used_amount > 0:
                            balance_text += f"   🔒 In Use: {used_amount}\n"
                        
                        balance_text += "\n"
                        
                        # Calculate totals for USDC (main trading currency)
                        if asset == 'USDC':
                            total_value += float(amount)
                            available_value += free_amount
                
                # Summary section
                balance_text += f"💼 <b>Portfolio Summary:</b>\n"
                balance_text += f"   💰 Total Value: ${total_value:,.2f}\n"
                balance_text += f"   🚀 Available for Trading: ${available_value:,.2f}\n"
                
                if total_value - available_value > 0:
                    balance_text += f"   🔒 In Active Use: ${total_value - available_value:,.2f}\n"
                
                # Add P&L summary
                basic_stats = self.stats.get_basic_stats()
                if basic_stats['initial_balance'] > 0:
                    pnl = total_value - basic_stats['initial_balance']
                    pnl_percent = (pnl / basic_stats['initial_balance']) * 100
                    
                    balance_text += f"\n📊 <b>Performance:</b>\n"
                    balance_text += f"   💵 P&L: ${pnl:,.2f} ({pnl_percent:+.2f}%)\n"
                    balance_text += f"   📈 Initial: ${basic_stats['initial_balance']:,.2f}"
            else:
                balance_text += "📭 No balance data available"
        else:
            balance_text = "❌ Could not fetch balance data"
        
        await update.message.reply_text(balance_text, parse_mode='HTML')
    
    async def positions_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /positions command."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        positions = self.client.get_positions()
        
        if positions is not None:  # Successfully fetched (could be empty list)
            positions_text = "📈 <b>Open Positions</b>\n\n"
            
            # Filter for actual open positions
            open_positions = [p for p in positions if float(p.get('contracts', 0)) != 0]
            
            if open_positions:
                total_unrealized = 0
                total_position_value = 0
                
                for position in open_positions:
                    symbol = position.get('symbol', 'Unknown')
                    contracts = float(position.get('contracts', 0))
                    unrealized_pnl = float(position.get('unrealizedPnl', 0))
                    entry_price = float(position.get('entryPx', 0))
                    
                    # Calculate position value and P&L percentage
                    position_value = abs(contracts) * entry_price
                    pnl_percentage = (unrealized_pnl / position_value * 100) if position_value > 0 else 0
                    
                    pnl_emoji = "🟢" if unrealized_pnl >= 0 else "🔴"
                    
                    # Extract token name for cleaner display
                    token = symbol.split('/')[0] if '/' in symbol else symbol
                    position_type = "LONG" if contracts > 0 else "SHORT"
                    
                    positions_text += f"📊 <b>{token}</b> ({position_type})\n"
                    positions_text += f"   📏 Size: {abs(contracts):.6f} {token}\n"
                    positions_text += f"   💰 Entry: ${entry_price:,.2f}\n"
                    positions_text += f"   💵 Value: ${position_value:,.2f}\n"
                    positions_text += f"   {pnl_emoji} P&L: ${unrealized_pnl:,.2f} ({pnl_percentage:+.2f}%)\n\n"
                    
                    total_unrealized += unrealized_pnl
                    total_position_value += position_value
                
                # Calculate overall P&L percentage
                total_pnl_percentage = (total_unrealized / total_position_value * 100) if total_position_value > 0 else 0
                total_pnl_emoji = "🟢" if total_unrealized >= 0 else "🔴"
                
                positions_text += f"💼 <b>Total Portfolio:</b>\n"
                positions_text += f"   💵 Total Value: ${total_position_value:,.2f}\n"
                positions_text += f"   {total_pnl_emoji} Total P&L: ${total_unrealized:,.2f} ({total_pnl_percentage:+.2f}%)"
            else:
                positions_text += "📭 <b>No open positions currently</b>\n\n"
                positions_text += "🚀 Ready to start trading!\n"
                positions_text += "Use /buy or /sell commands to open positions."
        else:
            # Actual API error
            positions_text = "❌ <b>Could not fetch positions data</b>\n\n"
            positions_text += "🔄 Please try again in a moment.\n"
            positions_text += "If the issue persists, check your connection."
        
        await update.message.reply_text(positions_text, parse_mode='HTML')
    
    async def orders_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /orders command with optional token filter."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        # Check if token filter is provided
        token_filter = None
        if context.args and len(context.args) >= 1:
            token_filter = context.args[0].upper()
        
        orders = self.client.get_open_orders()
        
        if orders is not None:  # Successfully fetched (could be empty list)
            if token_filter:
                orders_text = f"📋 <b>Open Orders - {token_filter}</b>\n\n"
                # Filter orders for specific token
                target_symbol = f"{token_filter}/USDC:USDC"
                filtered_orders = [order for order in orders if order.get('symbol') == target_symbol]
            else:
                orders_text = "📋 <b>All Open Orders</b>\n\n"
                filtered_orders = orders
            
            if filtered_orders and len(filtered_orders) > 0:
                for order in filtered_orders:
                    symbol = order.get('symbol', 'Unknown')
                    side = order.get('side', 'Unknown')
                    amount = order.get('amount', 0)
                    price = order.get('price', 0)
                    order_id = order.get('id', 'Unknown')
                    
                    # Extract token from symbol for display
                    token = symbol.split('/')[0] if '/' in symbol else symbol
                    
                    side_emoji = "🟢" if side.lower() == 'buy' else "🔴"
                    
                    orders_text += f"{side_emoji} <b>{token}</b>\n"
                    orders_text += f"   📊 {side.upper()} {amount} @ ${price:,.2f}\n"
                    orders_text += f"   💵 Value: ${float(amount) * float(price):,.2f}\n"
                    orders_text += f"   🔑 ID: <code>{order_id}</code>\n\n"
                
                # Add helpful commands
                if token_filter:
                    orders_text += f"💡 <b>Quick Actions:</b>\n"
                    orders_text += f"• <code>/coo {token_filter}</code> - Cancel all {token_filter} orders\n"
                    orders_text += f"• <code>/orders</code> - View all orders"
                else:
                    orders_text += f"💡 <b>Filter by token:</b> <code>/orders BTC</code>, <code>/orders ETH</code>"
            else:
                if token_filter:
                    orders_text += f"📭 <b>No open orders for {token_filter}</b>\n\n"
                    orders_text += f"💡 No pending {token_filter} orders found.\n"
                    orders_text += f"Use <code>/long {token_filter} 100</code> or <code>/short {token_filter} 100</code> to create new orders."
                else:
                    orders_text += "📭 <b>No open orders currently</b>\n\n"
                    orders_text += "💡 All clear! No pending orders.\n"
                    orders_text += "Use /long or /short commands to place new orders."
        else:
            # Actual API error
            orders_text = "❌ <b>Could not fetch orders data</b>\n\n"
            orders_text += "🔄 Please try again in a moment.\n"
            orders_text += "If the issue persists, check your connection."
        
        await update.message.reply_text(orders_text, parse_mode='HTML')
    
    async def market_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /market command."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        # Check if token is provided as argument
        if context.args and len(context.args) >= 1:
            token = context.args[0].upper()
        else:
            token = Config.DEFAULT_TRADING_TOKEN
        
        # Convert token to full symbol format for API
        symbol = f"{token}/USDC:USDC"
        market_data = self.client.get_market_data(symbol)
        
        if market_data and market_data.get('ticker'):
            try:
                ticker = market_data['ticker']
                orderbook = market_data.get('orderbook', {})
                
                # Safely extract ticker data with fallbacks
                current_price = float(ticker.get('last') or 0)
                high_24h = float(ticker.get('high') or 0)
                low_24h = float(ticker.get('low') or 0)
                volume_24h = ticker.get('baseVolume') or ticker.get('volume') or 'N/A'
                
                market_text = f"📊 <b>Market Data - {token}</b>\n\n"
                
                if current_price > 0:
                    market_text += f"💵 <b>Current Price:</b> ${current_price:,.2f}\n"
                else:
                    market_text += f"💵 <b>Current Price:</b> N/A\n"
                
                if high_24h > 0:
                    market_text += f"📈 <b>24h High:</b> ${high_24h:,.2f}\n"
                else:
                    market_text += f"📈 <b>24h High:</b> N/A\n"
                
                if low_24h > 0:
                    market_text += f"📉 <b>24h Low:</b> ${low_24h:,.2f}\n"
                else:
                    market_text += f"📉 <b>24h Low:</b> N/A\n"
                
                market_text += f"📊 <b>24h Volume:</b> {volume_24h}\n\n"
                
                # Handle orderbook data safely
                if orderbook and orderbook.get('bids') and orderbook.get('asks'):
                    try:
                        bids = orderbook.get('bids', [])
                        asks = orderbook.get('asks', [])
                        
                        if bids and asks and len(bids) > 0 and len(asks) > 0:
                            best_bid = float(bids[0][0]) if bids[0][0] else 0
                            best_ask = float(asks[0][0]) if asks[0][0] else 0
                            
                            if best_bid > 0 and best_ask > 0:
                                spread = best_ask - best_bid
                                spread_percent = (spread / best_ask * 100) if best_ask > 0 else 0
                                
                                market_text += f"🟢 <b>Best Bid:</b> ${best_bid:,.2f}\n"
                                market_text += f"🔴 <b>Best Ask:</b> ${best_ask:,.2f}\n"
                                market_text += f"📏 <b>Spread:</b> ${spread:.2f} ({spread_percent:.3f}%)\n"
                            else:
                                market_text += f"📋 <b>Orderbook:</b> Data unavailable\n"
                        else:
                            market_text += f"📋 <b>Orderbook:</b> No orders available\n"
                    except (IndexError, ValueError, TypeError) as e:
                        market_text += f"📋 <b>Orderbook:</b> Error parsing data\n"
                else:
                    market_text += f"📋 <b>Orderbook:</b> Not available\n"
                
                # Add usage hint
                market_text += f"\n💡 <b>Usage:</b> <code>/market {token}</code> or <code>/market</code> for default"
                
            except (ValueError, TypeError) as e:
                market_text = f"❌ <b>Error parsing market data</b>\n\n"
                market_text += f"🔧 Raw data received but couldn't parse values.\n"
                market_text += f"📞 Please try again or contact support if this persists."
        else:
            market_text = f"❌ <b>Could not fetch market data for {token}</b>\n\n"
            market_text += f"🔄 Please try again in a moment.\n"
            market_text += f"🌐 Check your network connection.\n"
            market_text += f"📡 API may be temporarily unavailable.\n\n"
            market_text += f"💡 <b>Usage:</b> <code>/market BTC</code>, <code>/market ETH</code>, <code>/market SOL</code>, etc."
        
        await update.message.reply_text(market_text, parse_mode='HTML')
    
    async def price_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /price command."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        # Check if token is provided as argument
        if context.args and len(context.args) >= 1:
            token = context.args[0].upper()
        else:
            token = Config.DEFAULT_TRADING_TOKEN
        
        # Convert token to full symbol format for API
        symbol = f"{token}/USDC:USDC"
        market_data = self.client.get_market_data(symbol)
        
        if market_data and market_data.get('ticker'):
            try:
                ticker = market_data['ticker']
                price_value = ticker.get('last')
                
                if price_value is not None:
                    price = float(price_value)
                    price_text = f"💵 <b>{token}</b>: ${price:,.2f}"
                    
                    # Add timestamp
                    timestamp = datetime.now().strftime('%H:%M:%S')
                    price_text += f"\n⏰ <i>Updated: {timestamp}</i>"
                    
                    # Add usage hint
                    price_text += f"\n💡 <i>Usage: </i><code>/price {symbol}</code><i> or </i><code>/price</code><i> for default</i>"
                else:
                    price_text = f"💵 <b>{symbol}</b>: Price not available\n⚠️ <i>Data temporarily unavailable</i>"
                    
            except (ValueError, TypeError) as e:
                price_text = f"❌ <b>Error parsing price for {symbol}</b>\n🔧 <i>Please try again</i>"
        else:
            price_text = f"❌ <b>Could not fetch price for {symbol}</b>\n🔄 <i>Please try again in a moment</i>\n\n"
            price_text += f"💡 <b>Usage:</b> <code>/price BTC</code>, <code>/price ETH</code>, <code>/price SOL</code>, etc."
        
        await update.message.reply_text(price_text, parse_mode='HTML')
    
    async def button_callback(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle inline keyboard button presses."""
        query = update.callback_query
        await query.answer()
        
        if not self.is_authorized(query.message.chat_id):
            await query.edit_message_text("❌ Unauthorized access.")
            return
        
        callback_data = query.data
        
        # Handle trading confirmations
        if callback_data.startswith('confirm_long_'):
            parts = callback_data.split('_')
            token = parts[2]
            usdc_amount = float(parts[3])
            try:
                price = float(parts[4])
            except (ValueError, TypeError):
                price = None  # Will be handled in execute_long_order
            is_limit = len(parts) > 5 and parts[5] == 'limit'
            
            # Parse stop loss if present
            stop_loss_price = None
            if len(parts) > 6 and parts[6] == 'sl':
                try:
                    stop_loss_price = float(parts[7])
                except (ValueError, TypeError):
                    stop_loss_price = None
            elif len(parts) > 5 and parts[5] == 'sl':
                try:
                    stop_loss_price = float(parts[6])
                except (ValueError, TypeError):
                    stop_loss_price = None
            
            await self._execute_long_order(query, token, usdc_amount, price, is_limit, stop_loss_price)
            return
            
        elif callback_data.startswith('confirm_short_'):
            parts = callback_data.split('_')
            token = parts[2]
            usdc_amount = float(parts[3])
            try:
                price = float(parts[4])
            except (ValueError, TypeError):
                price = None  # Will be handled in execute_short_order
            is_limit = len(parts) > 5 and parts[5] == 'limit'
            
            # Parse stop loss if present
            stop_loss_price = None
            if len(parts) > 6 and parts[6] == 'sl':
                try:
                    stop_loss_price = float(parts[7])
                except (ValueError, TypeError):
                    stop_loss_price = None
            elif len(parts) > 5 and parts[5] == 'sl':
                try:
                    stop_loss_price = float(parts[6])
                except (ValueError, TypeError):
                    stop_loss_price = None
            
            await self._execute_short_order(query, token, usdc_amount, price, is_limit, stop_loss_price)
            return
            
        elif callback_data.startswith('confirm_exit_'):
            parts = callback_data.split('_')
            token = parts[2]
            exit_side = parts[3]
            contracts = float(parts[4])
            price = float(parts[5])
            await self._execute_exit_order(query, token, exit_side, contracts, price)
            return
            
        elif callback_data.startswith('confirm_coo_'):
            parts = callback_data.split('_')
            token = parts[2]
            await self._execute_coo(query, token)
            return
            
        elif callback_data.startswith('confirm_sl_'):
            parts = callback_data.split('_')
            token = parts[2]
            exit_side = parts[3]
            contracts = float(parts[4])
            price = float(parts[5])
            await self._execute_sl_order(query, token, exit_side, contracts, price)
            return
            
        elif callback_data.startswith('confirm_tp_'):
            parts = callback_data.split('_')
            token = parts[2]
            exit_side = parts[3]
            contracts = float(parts[4])
            price = float(parts[5])
            await self._execute_tp_order(query, token, exit_side, contracts, price)
            return
            
        elif callback_data == 'cancel_order':
            await query.edit_message_text("❌ Order cancelled.")
            return
        
        # Create a fake update object for reusing command handlers
        fake_update = Update(
            update_id=update.update_id,
            message=query.message,
            callback_query=query
        )
        
        # Handle regular button callbacks
        if callback_data == "balance":
            await self.balance_command(fake_update, context)
        elif callback_data == "stats":
            await self.stats_command(fake_update, context)
        elif callback_data == "positions":
            await self.positions_command(fake_update, context)
        elif callback_data == "orders":
            await self.orders_command(fake_update, context)
        elif callback_data == "market":
            await self.market_command(fake_update, context)
        elif callback_data == "price":
            await self.price_command(fake_update, context)
        elif callback_data == "trades":
            await self.trades_command(fake_update, context)
        elif callback_data == "help":
            await self.help_command(fake_update, context)
        elif callback_data == "performance":
            await self.performance_command(fake_update, context)
        elif callback_data == "alarm":
            await self.alarm_command(fake_update, context)
        elif callback_data == "daily":
            await self.daily_command(fake_update, context)
        elif callback_data == "weekly":
            await self.weekly_command(fake_update, context)
        elif callback_data == "monthly":
            await self.monthly_command(fake_update, context)
        elif callback_data == "monitoring":
            await self.monitoring_command(fake_update, context)
        elif callback_data == "logs":
            await self.logs_command(fake_update, context)
    
    async def _execute_long_order(self, query, token: str, usdc_amount: float, price: float, is_limit: bool, stop_loss_price: float = None):
        """Execute a long order."""
        symbol = f"{token}/USDC:USDC"
        
        try:
            await query.edit_message_text("⏳ Opening long position...")
            
            # Validate price
            if price is None or price <= 0:
                # Try to get current market price
                market_data = self.client.get_market_data(symbol)
                if market_data and market_data.get('ticker'):
                    price = float(market_data['ticker'].get('last', 0))
                    if price <= 0:
                        await query.edit_message_text("❌ Unable to get valid market price. Please try again.")
                        return
                else:
                    await query.edit_message_text("❌ Unable to fetch market price. Please try again.")
                    return
            
            # Calculate token amount based on USDC value and price
            token_amount = usdc_amount / price
            
            # Place order (limit or market)
            if is_limit:
                order = self.client.place_limit_order(symbol, 'buy', token_amount, price)
            else:
                order = self.client.place_market_order(symbol, 'buy', token_amount)
            
            if order:
                # Record the trade in stats
                order_id = order.get('id', 'N/A')
                actual_price = order.get('average', price)  # Use actual fill price if available
                if actual_price is None or actual_price <= 0:
                    # This should not happen due to our price validation above, but extra safety
                    actual_price = price
                action_type = self.stats.record_trade_with_enhanced_tracking(symbol, 'buy', token_amount, actual_price, order_id, "bot")
                
                # Save pending stop loss if provided
                if stop_loss_price is not None:
                    self.pending_stop_losses[order_id] = {
                        'token': token,
                        'symbol': symbol,
                        'stop_price': stop_loss_price,
                        'side': 'sell',  # For long position, stop loss is a sell order
                        'amount': token_amount,
                        'order_type': 'long',
                        'original_order_id': order_id,
                        'is_limit': is_limit
                    }
                    self._save_bot_state()  # Save state after adding pending stop loss
                    logger.info(f"💾 Saved pending stop loss for order {order_id}: sell {token_amount:.6f} {token} @ ${stop_loss_price}")
                
                success_message = f"""
✅ <b>Long Position {'Placed' if is_limit else 'Opened'} Successfully!</b>

📊 <b>Order Details:</b>
• Token: {token}
• Direction: LONG (Buy)
• Amount: {token_amount:.6f} {token}
• Price: ${price:,.2f}
• USDC Value: ~${usdc_amount:,.2f}
• Order Type: {'Limit' if is_limit else 'Market'} Order
• Order ID: <code>{order_id}</code>
"""
                
                # Add stop loss confirmation if provided
                if stop_loss_price is not None:
                    success_message += f"""
🛑 <b>Stop Loss Saved:</b>
• Stop Price: ${stop_loss_price:,.2f}
• Will be placed automatically when order fills
• Status: PENDING ⏳
"""
                
                success_message += f"\n🚀 Your {'limit order has been placed' if is_limit else 'long position is now active'}!"
                
                await query.edit_message_text(success_message, parse_mode='HTML')
                logger.info(f"Long {'limit order placed' if is_limit else 'position opened'}: {token_amount:.6f} {token} @ ${price} ({'Limit' if is_limit else 'Market'})")
            else:
                await query.edit_message_text(f"❌ Failed to {'place limit order' if is_limit else 'open long position'}. Please try again.")
                
        except Exception as e:
            error_message = f"❌ Error {'placing limit order' if is_limit else 'opening long position'}: {str(e)}"
            await query.edit_message_text(error_message)
            logger.error(f"Error in long order: {e}")
    
    async def _execute_short_order(self, query, token: str, usdc_amount: float, price: float, is_limit: bool, stop_loss_price: float = None):
        """Execute a short order."""
        symbol = f"{token}/USDC:USDC"
        
        try:
            await query.edit_message_text("⏳ Opening short position...")
            
            # Validate price
            if price is None or price <= 0:
                # Try to get current market price
                market_data = self.client.get_market_data(symbol)
                if market_data and market_data.get('ticker'):
                    price = float(market_data['ticker'].get('last', 0))
                    if price <= 0:
                        await query.edit_message_text("❌ Unable to get valid market price. Please try again.")
                        return
                else:
                    await query.edit_message_text("❌ Unable to fetch market price. Please try again.")
                    return
            
            # Calculate token amount based on USDC value and price
            token_amount = usdc_amount / price
            
            # Place order (limit or market)
            if is_limit:
                order = self.client.place_limit_order(symbol, 'sell', token_amount, price)
            else:
                order = self.client.place_market_order(symbol, 'sell', token_amount)
            
            if order:
                # Record the trade in stats
                order_id = order.get('id', 'N/A')
                actual_price = order.get('average', price)  # Use actual fill price if available
                if actual_price is None or actual_price <= 0:
                    # This should not happen due to our price validation above, but extra safety
                    actual_price = price
                action_type = self.stats.record_trade_with_enhanced_tracking(symbol, 'sell', token_amount, actual_price, order_id, "bot")
                
                # Save pending stop loss if provided
                if stop_loss_price is not None:
                    self.pending_stop_losses[order_id] = {
                        'token': token,
                        'symbol': symbol,
                        'stop_price': stop_loss_price,
                        'side': 'buy',  # For short position, stop loss is a buy order
                        'amount': token_amount,
                        'order_type': 'short',
                        'original_order_id': order_id,
                        'is_limit': is_limit
                    }
                    self._save_bot_state()  # Save state after adding pending stop loss
                    logger.info(f"💾 Saved pending stop loss for order {order_id}: buy {token_amount:.6f} {token} @ ${stop_loss_price}")
                
                success_message = f"""
✅ <b>Short Position {'Placed' if is_limit else 'Opened'} Successfully!</b>

📊 <b>Order Details:</b>
• Token: {token}
• Direction: SHORT (Sell)
• Amount: {token_amount:.6f} {token}
• Price: ${price:,.2f}
• USDC Value: ~${usdc_amount:,.2f}
• Order Type: {'Limit' if is_limit else 'Market'} Order
• Order ID: <code>{order_id}</code>
"""
                
                # Add stop loss confirmation if provided
                if stop_loss_price is not None:
                    success_message += f"""
🛑 <b>Stop Loss Saved:</b>
• Stop Price: ${stop_loss_price:,.2f}
• Will be placed automatically when order fills
• Status: PENDING ⏳
"""
                
                success_message += f"\n📉 Your {'limit order has been placed' if is_limit else 'short position is now active'}!"
                
                await query.edit_message_text(success_message, parse_mode='HTML')
                logger.info(f"Short {'limit order placed' if is_limit else 'position opened'}: {token_amount:.6f} {token} @ ${price} ({'Limit' if is_limit else 'Market'})")
            else:
                await query.edit_message_text(f"❌ Failed to {'place limit order' if is_limit else 'open short position'}. Please try again.")
                
        except Exception as e:
            error_message = f"❌ Error {'placing limit order' if is_limit else 'opening short position'}: {str(e)}"
            await query.edit_message_text(error_message)
            logger.error(f"Error in short order: {e}")
    
    async def _execute_exit_order(self, query, token: str, exit_side: str, contracts: float, price: float):
        """Execute an exit order."""
        symbol = f"{token}/USDC:USDC"
        
        try:
            await query.edit_message_text("⏳ Closing position...")
            
            # Place market order to close position
            order = self.client.place_market_order(symbol, exit_side, contracts)
            
            if order:
                # Record the trade in stats
                order_id = order.get('id', 'N/A')
                actual_price = order.get('average', price)  # Use actual fill price if available
                if actual_price is None or actual_price <= 0:
                    # Fallback to ensure we have a valid price
                    actual_price = price
                action_type = self.stats.record_trade_with_enhanced_tracking(symbol, exit_side, contracts, actual_price, order_id, "bot")
                
                position_type = "LONG" if exit_side == "sell" else "SHORT"
                
                success_message = f"""
✅ <b>Position Closed Successfully!</b>

📊 <b>Exit Details:</b>
• Token: {token}
• Position Closed: {position_type}
• Exit Side: {exit_side.upper()}
• Amount: {contracts} {token}
• Est. Price: ~${price:,.2f}
• Order Type: Market Order
• Order ID: <code>{order_id}</code>

🎯 <b>Position Summary:</b>
• Status: CLOSED
• Exit Value: ~${contracts * price:,.2f}

📊 Use /stats to see updated performance metrics.
                """
                
                await query.edit_message_text(success_message, parse_mode='HTML')
                logger.info(f"Position closed: {exit_side} {contracts} {token} @ ~${price}")
            else:
                await query.edit_message_text("❌ Failed to close position. Please try again.")
                
        except Exception as e:
            error_message = f"❌ Error closing position: {str(e)}"
            await query.edit_message_text(error_message)
            logger.error(f"Error closing position: {e}")
    
    async def _execute_coo(self, query, token: str):
        """Execute cancel open orders for a specific token."""
        symbol = f"{token}/USDC:USDC"
        
        try:
            await query.edit_message_text("⏳ Cancelling all orders...")
            
            # Get current orders for this token
            all_orders = self.client.get_open_orders()
            if all_orders is None:
                await query.edit_message_text(f"❌ Could not fetch orders to cancel {token} orders")
                return
            
            # Filter orders for the specific token
            token_orders = [order for order in all_orders if order.get('symbol') == symbol]
            
            if not token_orders:
                await query.edit_message_text(f"📭 No open orders found for {token}")
                return
            
            # Cancel each order
            cancelled_orders = []
            failed_orders = []
            
            for order in token_orders:
                order_id = order.get('id')
                if order_id:
                    try:
                        success = self.client.cancel_order(order_id, symbol)
                        if success:
                            cancelled_orders.append(order)
                        else:
                            failed_orders.append(order)
                    except Exception as e:
                        logger.error(f"Failed to cancel order {order_id}: {e}")
                        failed_orders.append(order)
            
            # Create result message
            result_message = f"""
✅ <b>Cancel Orders Results</b>

📊 <b>Summary:</b>
• Token: {token}
• Cancelled: {len(cancelled_orders)} orders
• Failed: {len(failed_orders)} orders
• Total Attempted: {len(token_orders)} orders
"""
            
            if cancelled_orders:
                result_message += f"\n🗑️ <b>Successfully Cancelled:</b>\n"
                for order in cancelled_orders:
                    side = order.get('side', 'Unknown')
                    amount = order.get('amount', 0)
                    price = order.get('price', 0)
                    side_emoji = "🟢" if side.lower() == 'buy' else "🔴"
                    result_message += f"{side_emoji} {side.upper()} {amount} @ ${price:,.2f}\n"
            
            if failed_orders:
                result_message += f"\n❌ <b>Failed to Cancel:</b>\n"
                for order in failed_orders:
                    side = order.get('side', 'Unknown')
                    amount = order.get('amount', 0)
                    price = order.get('price', 0)
                    order_id = order.get('id', 'Unknown')
                    side_emoji = "🟢" if side.lower() == 'buy' else "🔴"
                    result_message += f"{side_emoji} {side.upper()} {amount} @ ${price:,.2f} (ID: {order_id})\n"
            
            if len(cancelled_orders) == len(token_orders):
                result_message += f"\n🎉 All {token} orders successfully cancelled!"
            elif len(cancelled_orders) > 0:
                result_message += f"\n⚠️ Some orders cancelled. Check failed orders above."
            else:
                result_message += f"\n❌ Could not cancel any {token} orders."
            
            await query.edit_message_text(result_message, parse_mode='HTML')
            logger.info(f"COO executed for {token}: {len(cancelled_orders)}/{len(token_orders)} orders cancelled")
            
        except Exception as e:
            error_message = f"❌ Error cancelling {token} orders: {str(e)}"
            await query.edit_message_text(error_message)
            logger.error(f"Error in COO execution: {e}")
    
    async def _execute_sl_order(self, query, token: str, exit_side: str, contracts: float, price: float):
        """Execute a stop loss order."""
        symbol = f"{token}/USDC:USDC"
        
        try:
            await query.edit_message_text("⏳ Setting stop loss...")
            
            # Place stop loss order
            order = self.client.place_stop_loss_order(symbol, exit_side, contracts, price)
            
            if order:
                # Record the trade in stats
                order_id = order.get('id', 'N/A')
                actual_price = order.get('average', price)  # Use actual fill price if available
                action_type = self.stats.record_trade_with_enhanced_tracking(symbol, exit_side, contracts, actual_price, order_id, "bot")
                
                position_type = "LONG" if exit_side == "sell" else "SHORT"
                
                success_message = f"""
✅ <b>Stop Loss Order Set Successfully!</b>

📊 <b>Stop Loss Details:</b>
• Token: {token}
• Position: {position_type}
• Size: {contracts} contracts
• Stop Price: ${price:,.2f}
• Action: {exit_side.upper()} (Close {position_type})
• Amount: {contracts} {token}
• Order Type: Limit Order
• Order ID: <code>{order_id}</code>

🎯 <b>Stop Loss Execution:</b>
• Status: SET
• Exit Value: ~${contracts * price:,.2f}

📊 Use /stats to see updated performance metrics.
                """
                
                await query.edit_message_text(success_message, parse_mode='HTML')
                logger.info(f"Stop loss set: {exit_side} {contracts} {token} @ ${price}")
            else:
                await query.edit_message_text("❌ Failed to set stop loss. Please try again.")
                
        except Exception as e:
            error_message = f"❌ Error setting stop loss: {str(e)}"
            await query.edit_message_text(error_message)
            logger.error(f"Error setting stop loss: {e}")
    
    async def _execute_tp_order(self, query, token: str, exit_side: str, contracts: float, price: float):
        """Execute a take profit order."""
        symbol = f"{token}/USDC:USDC"
        
        try:
            await query.edit_message_text("⏳ Setting take profit...")
            
            # Place take profit order
            order = self.client.place_take_profit_order(symbol, exit_side, contracts, price)
            
            if order:
                # Record the trade in stats
                order_id = order.get('id', 'N/A')
                actual_price = order.get('average', price)  # Use actual fill price if available
                if actual_price is None or actual_price <= 0:
                    # Fallback to ensure we have a valid price
                    actual_price = price
                action_type = self.stats.record_trade_with_enhanced_tracking(symbol, exit_side, contracts, actual_price, order_id, "bot")
                
                position_type = "LONG" if exit_side == "sell" else "SHORT"
                
                success_message = f"""
✅ <b>Take Profit Order Set Successfully!</b>

📊 <b>Take Profit Details:</b>
• Token: {token}
• Position: {position_type}
• Size: {contracts} contracts
• Target Price: ${price:,.2f}
• Action: {exit_side.upper()} (Close {position_type})
• Amount: {contracts} {token}
• Order Type: Limit Order
• Order ID: <code>{order_id}</code>

🎯 <b>Take Profit Execution:</b>
• Status: SET
• Exit Value: ~${contracts * price:,.2f}

📊 Use /stats to see updated performance metrics.
                """
                
                await query.edit_message_text(success_message, parse_mode='HTML')
                logger.info(f"Take profit set: {exit_side} {contracts} {token} @ ${price}")
            else:
                await query.edit_message_text("❌ Failed to set take profit. Please try again.")
                
        except Exception as e:
            error_message = f"❌ Error setting take profit: {str(e)}"
            await query.edit_message_text(error_message)
            logger.error(f"Error setting take profit: {e}")
    
    async def handle_keyboard_message(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle messages from custom keyboard buttons (without /)."""
        if not self.is_authorized(update.effective_chat.id):
            return
        
        message_text = update.message.text.lower()
        
        # Map clean button text to command handlers
        command_handlers = {
            'daily': self.daily_command,
            'performance': self.performance_command,
            'balance': self.balance_command,
            'stats': self.stats_command,
            'positions': self.positions_command,
            'orders': self.orders_command,
            'price': self.price_command,
            'market': self.market_command,
            'help': self.help_command,
            'commands': self.commands_command
        }
        
        # Execute the corresponding command handler
        if message_text in command_handlers:
            await command_handlers[message_text](update, context)

    async def unknown_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle unknown commands."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        await update.message.reply_text(
            "❓ Unknown command. Use /help to see available commands or tap the buttons in /start."
        )
    
    def setup_handlers(self):
        """Set up command handlers for the bot."""
        if not self.application:
            return
        
        # Command handlers
        self.application.add_handler(CommandHandler("start", self.start_command))
        self.application.add_handler(CommandHandler("help", self.help_command))
        self.application.add_handler(CommandHandler("commands", self.commands_command))
        self.application.add_handler(CommandHandler("c", self.commands_command))
        self.application.add_handler(CommandHandler("balance", self.balance_command))
        self.application.add_handler(CommandHandler("positions", self.positions_command))
        self.application.add_handler(CommandHandler("orders", self.orders_command))
        self.application.add_handler(CommandHandler("market", self.market_command))
        self.application.add_handler(CommandHandler("price", self.price_command))
        self.application.add_handler(CommandHandler("stats", self.stats_command))
        self.application.add_handler(CommandHandler("trades", self.trades_command))
        self.application.add_handler(CommandHandler("long", self.long_command))
        self.application.add_handler(CommandHandler("short", self.short_command))
        self.application.add_handler(CommandHandler("exit", self.exit_command))
        self.application.add_handler(CommandHandler("coo", self.coo_command))
        self.application.add_handler(CommandHandler("sl", self.sl_command))
        self.application.add_handler(CommandHandler("tp", self.tp_command))
        self.application.add_handler(CommandHandler("monitoring", self.monitoring_command))
        self.application.add_handler(CommandHandler("alarm", self.alarm_command))
        self.application.add_handler(CommandHandler("logs", self.logs_command))
        self.application.add_handler(CommandHandler("performance", self.performance_command))
        self.application.add_handler(CommandHandler("daily", self.daily_command))
        self.application.add_handler(CommandHandler("weekly", self.weekly_command))
        self.application.add_handler(CommandHandler("monthly", self.monthly_command))
        self.application.add_handler(CommandHandler("risk", self.risk_command))
        self.application.add_handler(CommandHandler("version", self.version_command))
        self.application.add_handler(CommandHandler("balance_adjustments", self.balance_adjustments_command))
        self.application.add_handler(CommandHandler("keyboard", self.keyboard_command))
        
        # Callback query handler for inline keyboards
        self.application.add_handler(CallbackQueryHandler(self.button_callback))
        
        # Handle clean keyboard button messages (without /)
        self.application.add_handler(MessageHandler(filters.TEXT & ~filters.COMMAND, self.handle_keyboard_message))
        
        # Handle unknown commands
        self.application.add_handler(MessageHandler(filters.COMMAND, self.unknown_command))
    
    async def run(self):
        """Run the Telegram bot."""
        if not Config.TELEGRAM_BOT_TOKEN:
            logger.error("❌ TELEGRAM_BOT_TOKEN not configured")
            return
        
        if not Config.TELEGRAM_CHAT_ID:
            logger.error("❌ TELEGRAM_CHAT_ID not configured")
            return
        
        try:
            # Create application
            self.application = Application.builder().token(Config.TELEGRAM_BOT_TOKEN).build()
            
            # Set up handlers
            self.setup_handlers()
            
            logger.info("🚀 Starting Telegram trading bot...")
            
            # Initialize the application
            await self.application.initialize()
            
            # Send startup notification
            await self.send_message(
                f"🤖 <b>Manual Trading Bot v{self.version} Started</b>\n\n"
                f"✅ Connected to Hyperliquid {'Testnet' if Config.HYPERLIQUID_TESTNET else 'Mainnet'}\n"
                f"📊 Default Symbol: {Config.DEFAULT_TRADING_TOKEN}\n"
                f"📱 Manual trading ready!\n"
                f"🔄 Order monitoring: Active ({Config.BOT_HEARTBEAT_SECONDS}s interval)\n"
                f"🔄 External trade monitoring: Active\n"
                f"🔔 Price alarms: Active\n"
                f"📊 Auto stats sync: Enabled\n"
                f"📝 Logging: {'File + Console' if Config.LOG_TO_FILE else 'Console only'}\n"
                f"⏰ Started at: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n\n"
                "Use /start for quick actions or /help for all commands."
            )
            
            # Perform initial log cleanup
            try:
                cleanup_logs(days_to_keep=30)
                logger.info("🧹 Initial log cleanup completed")
            except Exception as e:
                logger.warning(f"⚠️ Initial log cleanup failed: {e}")
            
            # Start the application
            await self.application.start()
            
            # Start order monitoring
            await self.start_order_monitoring()
            
            # Start polling for updates manually
            logger.info("🔄 Starting update polling...")
            
            # Get updates in a loop
            last_update_id = 0
            while True:
                try:
                    # Get updates from Telegram
                    updates = await self.application.bot.get_updates(
                        offset=last_update_id + 1,
                        timeout=30,
                        allowed_updates=None
                    )
                    
                    # Process each update
                    for update in updates:
                        last_update_id = update.update_id
                        
                        # Process the update through the application
                        await self.application.process_update(update)
                        
                except Exception as e:
                    logger.error(f"Error processing updates: {e}")
                    await asyncio.sleep(5)  # Wait before retrying
                    
        except asyncio.CancelledError:
            logger.info("🛑 Bot polling cancelled")
            raise
            
        except Exception as e:
            logger.error(f"❌ Error in telegram bot: {e}")
            raise
            
        finally:
            # Clean shutdown
            try:
                await self.stop_order_monitoring()
                if self.application:
                    await self.application.stop()
                    await self.application.shutdown()
            except Exception as e:
                logger.error(f"Error during shutdown: {e}")

    async def long_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /long command for opening long positions."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        try:
            if not context.args or len(context.args) < 2:
                await update.message.reply_text(
                    "❌ Usage: /long [token] [USDC amount] [price (optional)] [sl:price (optional)]\n"
                    "Examples:\n"
                    "• /long BTC 100 - Market order\n"
                    "• /long BTC 100 45000 - Limit order at $45,000\n"
                    "• /long BTC 100 sl:44000 - Market order with stop loss at $44,000\n"
                    "• /long BTC 100 45000 sl:44000 - Limit order at $45,000 with stop loss at $44,000"
                )
                return
            
            token = context.args[0].upper()
            usdc_amount = float(context.args[1])
            
            # Parse arguments for price and stop loss
            limit_price = None
            stop_loss_price = None
            
            # Parse remaining arguments
            for i, arg in enumerate(context.args[2:], 2):
                if arg.startswith('sl:'):
                    # Stop loss parameter
                    try:
                        stop_loss_price = float(arg[3:])  # Remove 'sl:' prefix
                    except ValueError:
                        await update.message.reply_text("❌ Invalid stop loss price format. Use sl:price (e.g., sl:44000)")
                        return
                elif limit_price is None:
                    # First non-sl parameter is the limit price
                    try:
                        limit_price = float(arg)
                    except ValueError:
                        await update.message.reply_text("❌ Invalid limit price format. Please use numbers only.")
                        return
            
            # Determine order type
            if limit_price:
                order_type = "Limit"
                order_description = f"at ${limit_price:,.2f}"
            else:
                order_type = "Market"
                order_description = "at current market price"
            
            # Convert token to full symbol format for Hyperliquid
            symbol = f"{token}/USDC:USDC"
            
            # Get current market price to calculate amount and for display
            market_data = self.client.get_market_data(symbol)
            if not market_data:
                await update.message.reply_text(f"❌ Could not fetch price for {token}")
                return
            
            current_price = float(market_data['ticker'].get('last', 0))
            if current_price <= 0:
                await update.message.reply_text(f"❌ Invalid price for {token}")
                return
            
            # Validate stop loss price for long positions
            if stop_loss_price is not None:
                entry_price = limit_price if limit_price else current_price
                if stop_loss_price >= entry_price:
                    await update.message.reply_text(
                        f"❌ Stop loss price should be BELOW entry price for long positions\n\n"
                        f"📊 Entry Price: ${entry_price:,.2f}\n"
                        f"🛑 Stop Loss: ${stop_loss_price:,.2f} ❌\n\n"
                        f"💡 Try a lower price like: /long {token} {usdc_amount} {f'{limit_price} ' if limit_price else ''}sl:{entry_price * 0.95:.0f}"
                    )
                    return
            
            # Calculate token amount based on price (market or limit)
            calculation_price = limit_price if limit_price else current_price
            token_amount = usdc_amount / calculation_price
            
            # Create confirmation message
            confirmation_text = f"""
🟢 <b>Long Position Confirmation</b>

📊 <b>Order Details:</b>
• Token: {token}
• Direction: LONG (Buy)
• USDC Value: ${usdc_amount:,.2f}
• Current Price: ${current_price:,.2f}
• Order Type: {order_type} Order
• Token Amount: {token_amount:.6f} {token}

🎯 <b>Execution:</b>
• Will buy {token_amount:.6f} {token} {order_description}
• Est. Value: ${token_amount * calculation_price:,.2f}
"""
            
            # Add stop loss information if provided
            if stop_loss_price is not None:
                confirmation_text += f"""
🛑 <b>Stop Loss:</b>
• Stop Price: ${stop_loss_price:,.2f}
• Will be placed automatically after order fills
• Protection Level: {((calculation_price - stop_loss_price) / calculation_price * 100):.1f}% below entry
"""
            
            confirmation_text += "\n⚠️ <b>Are you sure you want to open this long position?</b>"
            
            # Use limit_price for callback if provided, otherwise current_price
            callback_price = limit_price if limit_price else current_price
            callback_data = f"confirm_long_{token}_{usdc_amount}_{callback_price}"
            if limit_price:
                callback_data += "_limit"
            if stop_loss_price is not None:
                callback_data += f"_sl_{stop_loss_price}"
            
            keyboard = [
                [
                    InlineKeyboardButton("✅ Confirm Long", callback_data=callback_data),
                    InlineKeyboardButton("❌ Cancel", callback_data="cancel_order")
                ]
            ]
            reply_markup = InlineKeyboardMarkup(keyboard)
            
            await update.message.reply_text(confirmation_text, parse_mode='HTML', reply_markup=reply_markup)
            
        except ValueError:
            await update.message.reply_text("❌ Invalid USDC amount or price. Please use numbers only.")
        except Exception as e:
            await update.message.reply_text(f"❌ Error processing long command: {e}")
    
    async def short_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /short command for opening short positions."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        try:
            if not context.args or len(context.args) < 2:
                await update.message.reply_text(
                    "❌ Usage: /short [token] [USDC amount] [price (optional)] [sl:price (optional)]\n"
                    "Examples:\n"
                    "• /short BTC 100 - Market order\n"
                    "• /short BTC 100 46000 - Limit order at $46,000\n"
                    "• /short BTC 100 sl:47000 - Market order with stop loss at $47,000\n"
                    "• /short BTC 100 46000 sl:47000 - Limit order at $46,000 with stop loss at $47,000"
                )
                return
            
            token = context.args[0].upper()
            usdc_amount = float(context.args[1])
            
            # Parse arguments for price and stop loss
            limit_price = None
            stop_loss_price = None
            
            # Parse remaining arguments
            for i, arg in enumerate(context.args[2:], 2):
                if arg.startswith('sl:'):
                    # Stop loss parameter
                    try:
                        stop_loss_price = float(arg[3:])  # Remove 'sl:' prefix
                    except ValueError:
                        await update.message.reply_text("❌ Invalid stop loss price format. Use sl:price (e.g., sl:47000)")
                        return
                elif limit_price is None:
                    # First non-sl parameter is the limit price
                    try:
                        limit_price = float(arg)
                    except ValueError:
                        await update.message.reply_text("❌ Invalid limit price format. Please use numbers only.")
                        return
            
            # Determine order type
            if limit_price:
                order_type = "Limit"
                order_description = f"at ${limit_price:,.2f}"
            else:
                order_type = "Market"
                order_description = "at current market price"
            
            # Convert token to full symbol format for Hyperliquid
            symbol = f"{token}/USDC:USDC"
            
            # Get current market price to calculate amount and for display
            market_data = self.client.get_market_data(symbol)
            if not market_data:
                await update.message.reply_text(f"❌ Could not fetch price for {token}")
                return
            
            current_price = float(market_data['ticker'].get('last', 0))
            if current_price <= 0:
                await update.message.reply_text(f"❌ Invalid price for {token}")
                return
            
            # Validate stop loss price for short positions
            if stop_loss_price is not None:
                entry_price = limit_price if limit_price else current_price
                if stop_loss_price <= entry_price:
                    await update.message.reply_text(
                        f"❌ Stop loss price should be ABOVE entry price for short positions\n\n"
                        f"📊 Entry Price: ${entry_price:,.2f}\n"
                        f"🛑 Stop Loss: ${stop_loss_price:,.2f} ❌\n\n"
                        f"💡 Try a higher price like: /short {token} {usdc_amount} {f'{limit_price} ' if limit_price else ''}sl:{entry_price * 1.05:.0f}"
                    )
                    return
            
            # Calculate token amount based on price (market or limit)
            calculation_price = limit_price if limit_price else current_price
            token_amount = usdc_amount / calculation_price
            
            # Create confirmation message
            confirmation_text = f"""
🔴 <b>Short Position Confirmation</b>

📊 <b>Order Details:</b>
• Token: {token}
• Direction: SHORT (Sell)
• USDC Value: ${usdc_amount:,.2f}
• Current Price: ${current_price:,.2f}
• Order Type: {order_type} Order
• Token Amount: {token_amount:.6f} {token}

🎯 <b>Execution:</b>
• Will sell {token_amount:.6f} {token} {order_description}
• Est. Value: ${token_amount * calculation_price:,.2f}
"""
            
            # Add stop loss information if provided
            if stop_loss_price is not None:
                confirmation_text += f"""
🛑 <b>Stop Loss:</b>
• Stop Price: ${stop_loss_price:,.2f}
• Will be placed automatically after order fills
• Protection Level: {((stop_loss_price - calculation_price) / calculation_price * 100):.1f}% above entry
"""
            
            confirmation_text += "\n⚠️ <b>Are you sure you want to open this short position?</b>"
            
            # Use limit_price for callback if provided, otherwise current_price
            callback_price = limit_price if limit_price else current_price
            callback_data = f"confirm_short_{token}_{usdc_amount}_{callback_price}"
            if limit_price:
                callback_data += "_limit"
            if stop_loss_price is not None:
                callback_data += f"_sl_{stop_loss_price}"
            
            keyboard = [
                [
                    InlineKeyboardButton("✅ Confirm Short", callback_data=callback_data),
                    InlineKeyboardButton("❌ Cancel", callback_data="cancel_order")
                ]
            ]
            reply_markup = InlineKeyboardMarkup(keyboard)
            
            await update.message.reply_text(confirmation_text, parse_mode='HTML', reply_markup=reply_markup)
            
        except ValueError:
            await update.message.reply_text("❌ Invalid USDC amount or price. Please use numbers only.")
        except Exception as e:
            await update.message.reply_text(f"❌ Error processing short command: {e}")
    
    async def exit_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /exit command for closing positions."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        try:
            if not context.args or len(context.args) < 1:
                await update.message.reply_text(
                    "❌ Usage: /exit [token]\n"
                    "Example: /exit BTC"
                )
                return
            
            token = context.args[0].upper()
            symbol = f"{token}/USDC:USDC"
            
            # Get current positions to find the position for this token
            positions = self.client.get_positions()
            if positions is None:
                await update.message.reply_text(f"❌ Could not fetch positions to check {token} position")
                return
            
            # Find the position for this token
            current_position = None
            for position in positions:
                if position.get('symbol') == symbol and float(position.get('contracts', 0)) != 0:
                    current_position = position
                    break
            
            if not current_position:
                await update.message.reply_text(f"📭 No open position found for {token}")
                return
            
            # Extract position details
            contracts = float(current_position.get('contracts', 0))
            entry_price = float(current_position.get('entryPx', 0))
            unrealized_pnl = float(current_position.get('unrealizedPnl', 0))
            
            # Determine position direction and exit details
            if contracts > 0:
                position_type = "LONG"
                exit_side = "sell"
                exit_emoji = "🔴"
            else:
                position_type = "SHORT"
                exit_side = "buy"
                exit_emoji = "🟢"
                contracts = abs(contracts)  # Make positive for display
            
            # Get current market price
            market_data = self.client.get_market_data(symbol)
            if not market_data:
                await update.message.reply_text(f"❌ Could not fetch current price for {token}")
                return
            
            current_price = float(market_data['ticker'].get('last', 0))
            if current_price <= 0:
                await update.message.reply_text(f"❌ Invalid current price for {token}")
                return
            
            # Calculate estimated exit value
            exit_value = contracts * current_price
            
            # Create confirmation message
            pnl_emoji = "🟢" if unrealized_pnl >= 0 else "🔴"
            
            confirmation_text = f"""
{exit_emoji} <b>Exit Position Confirmation</b>

📊 <b>Position Details:</b>
• Token: {token}
• Position: {position_type}
• Size: {contracts} contracts
• Entry Price: ${entry_price:,.2f}
• Current Price: ${current_price:,.2f}
• {pnl_emoji} Unrealized P&L: ${unrealized_pnl:,.2f}

🎯 <b>Exit Order:</b>
• Action: {exit_side.upper()} (Close {position_type})
• Amount: {contracts} {token}
• Est. Value: ~${exit_value:,.2f}
• Order Type: Market Order

⚠️ <b>Are you sure you want to close this {position_type} position?</b>

This will place a market {exit_side} order to close your entire {token} position.
            """
            
            keyboard = [
                [
                    InlineKeyboardButton(f"✅ Close {position_type}", callback_data=f"confirm_exit_{token}_{exit_side}_{contracts}_{current_price}"),
                    InlineKeyboardButton("❌ Cancel", callback_data="cancel_order")
                ]
            ]
            reply_markup = InlineKeyboardMarkup(keyboard)
            
            await update.message.reply_text(confirmation_text, parse_mode='HTML', reply_markup=reply_markup)
            
        except ValueError:
            await update.message.reply_text("❌ Invalid token format. Please use token symbols like BTC, ETH, etc.")
        except Exception as e:
            await update.message.reply_text(f"❌ Error processing exit command: {e}")

    async def coo_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /coo (cancel open orders) command for a specific token."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        try:
            if not context.args or len(context.args) < 1:
                await update.message.reply_text(
                    "❌ Usage: /coo [token]\n"
                    "Example: /coo BTC\n\n"
                    "This command cancels ALL open orders for the specified token."
                )
                return
            
            token = context.args[0].upper()
            symbol = f"{token}/USDC:USDC"
            
            # Get current orders for this token
            all_orders = self.client.get_open_orders()
            if all_orders is None:
                await update.message.reply_text(f"❌ Could not fetch orders to cancel {token} orders")
                return
            
            # Filter orders for the specific token
            token_orders = [order for order in all_orders if order.get('symbol') == symbol]
            
            if not token_orders:
                await update.message.reply_text(f"📭 No open orders found for {token}")
                return
            
            # Create confirmation message with order details
            confirmation_text = f"""
⚠️ <b>Cancel All {token} Orders</b>

📋 <b>Orders to Cancel:</b>
"""
            
            total_value = 0
            for order in token_orders:
                side = order.get('side', 'Unknown')
                amount = order.get('amount', 0)
                price = order.get('price', 0)
                order_id = order.get('id', 'Unknown')
                
                side_emoji = "🟢" if side.lower() == 'buy' else "🔴"
                order_value = float(amount) * float(price)
                total_value += order_value
                
                confirmation_text += f"{side_emoji} {side.upper()} {amount} @ ${price:,.2f} (${order_value:,.2f})\n"
            
            confirmation_text += f"""
💰 <b>Total Value:</b> ${total_value:,.2f}
🔢 <b>Orders Count:</b> {len(token_orders)}

⚠️ <b>Are you sure you want to cancel ALL {token} orders?</b>

This action cannot be undone.
            """
            
            keyboard = [
                [
                    InlineKeyboardButton(f"✅ Cancel All {token}", callback_data=f"confirm_coo_{token}"),
                    InlineKeyboardButton("❌ Keep Orders", callback_data="cancel_order")
                ]
            ]
            reply_markup = InlineKeyboardMarkup(keyboard)
            
            await update.message.reply_text(confirmation_text, parse_mode='HTML', reply_markup=reply_markup)
            
        except ValueError:
            await update.message.reply_text("❌ Invalid token format. Please use token symbols like BTC, ETH, etc.")
        except Exception as e:
            await update.message.reply_text(f"❌ Error processing cancel orders command: {e}")

    async def sl_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /sl (stop loss) command for setting stop loss orders."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        try:
            if not context.args or len(context.args) < 2:
                await update.message.reply_text(
                    "❌ Usage: /sl [token] [price]\n"
                    "Example: /sl BTC 44000\n\n"
                    "This creates a stop loss order at the specified price."
                )
                return
            
            token = context.args[0].upper()
            stop_price = float(context.args[1])
            symbol = f"{token}/USDC:USDC"
            
            # Get current positions to find the position for this token
            positions = self.client.get_positions()
            if positions is None:
                await update.message.reply_text(f"❌ Could not fetch positions to check {token} position")
                return
            
            # Find the position for this token
            current_position = None
            for position in positions:
                if position.get('symbol') == symbol and float(position.get('contracts', 0)) != 0:
                    current_position = position
                    break
            
            if not current_position:
                await update.message.reply_text(f"📭 No open position found for {token}\n\nYou need an open position to set a stop loss.")
                return
            
            # Extract position details
            contracts = float(current_position.get('contracts', 0))
            entry_price = float(current_position.get('entryPx', 0))
            unrealized_pnl = float(current_position.get('unrealizedPnl', 0))
            
            # Determine position direction and validate stop loss price
            if contracts > 0:
                # Long position - stop loss should be below entry price
                position_type = "LONG"
                exit_side = "sell"
                exit_emoji = "🔴"
                contracts_abs = contracts
                
                if stop_price >= entry_price:
                    await update.message.reply_text(
                        f"⚠️ Stop loss price should be BELOW entry price for long positions\n\n"
                        f"📊 Your {token} LONG position:\n"
                        f"• Entry Price: ${entry_price:,.2f}\n"
                        f"• Stop Price: ${stop_price:,.2f} ❌\n\n"
                        f"💡 Try a lower price like: /sl {token} {entry_price * 0.95:.0f}"
                    )
                    return
            else:
                # Short position - stop loss should be above entry price
                position_type = "SHORT"
                exit_side = "buy"
                exit_emoji = "🟢"
                contracts_abs = abs(contracts)
                
                if stop_price <= entry_price:
                    await update.message.reply_text(
                        f"⚠️ Stop loss price should be ABOVE entry price for short positions\n\n"
                        f"📊 Your {token} SHORT position:\n"
                        f"• Entry Price: ${entry_price:,.2f}\n"
                        f"• Stop Price: ${stop_price:,.2f} ❌\n\n"
                        f"💡 Try a higher price like: /sl {token} {entry_price * 1.05:.0f}"
                    )
                    return
            
            # Get current market price for reference
            market_data = self.client.get_market_data(symbol)
            current_price = 0
            if market_data:
                current_price = float(market_data['ticker'].get('last', 0))
            
            # Calculate estimated P&L at stop loss
            if contracts > 0:  # Long position
                pnl_at_stop = (stop_price - entry_price) * contracts_abs
            else:  # Short position
                pnl_at_stop = (entry_price - stop_price) * contracts_abs
            
            # Create confirmation message
            pnl_emoji = "🟢" if pnl_at_stop >= 0 else "🔴"
            
            confirmation_text = f"""
🛑 <b>Stop Loss Order Confirmation</b>

📊 <b>Position Details:</b>
• Token: {token}
• Position: {position_type}
• Size: {contracts_abs} contracts
• Entry Price: ${entry_price:,.2f}
• Current Price: ${current_price:,.2f}

🎯 <b>Stop Loss Order:</b>
• Stop Price: ${stop_price:,.2f}
• Action: {exit_side.upper()} (Close {position_type})
• Amount: {contracts_abs} {token}
• Order Type: Limit Order
• {pnl_emoji} Est. P&L: ${pnl_at_stop:,.2f}

⚠️ <b>Are you sure you want to set this stop loss?</b>

This will place a limit {exit_side} order at ${stop_price:,.2f} to protect your {position_type} position.
            """
            
            keyboard = [
                [
                    InlineKeyboardButton(f"✅ Set Stop Loss", callback_data=f"confirm_sl_{token}_{exit_side}_{contracts_abs}_{stop_price}"),
                    InlineKeyboardButton("❌ Cancel", callback_data="cancel_order")
                ]
            ]
            reply_markup = InlineKeyboardMarkup(keyboard)
            
            await update.message.reply_text(confirmation_text, parse_mode='HTML', reply_markup=reply_markup)
            
        except ValueError:
            await update.message.reply_text("❌ Invalid price format. Please use numbers only.")
        except Exception as e:
            await update.message.reply_text(f"❌ Error processing stop loss command: {e}")

    async def tp_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /tp (take profit) command for setting take profit orders."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        try:
            if not context.args or len(context.args) < 2:
                await update.message.reply_text(
                    "❌ Usage: /tp [token] [price]\n"
                    "Example: /tp BTC 50000\n\n"
                    "This creates a take profit order at the specified price."
                )
                return
            
            token = context.args[0].upper()
            profit_price = float(context.args[1])
            symbol = f"{token}/USDC:USDC"
            
            # Get current positions to find the position for this token
            positions = self.client.get_positions()
            if positions is None:
                await update.message.reply_text(f"❌ Could not fetch positions to check {token} position")
                return
            
            # Find the position for this token
            current_position = None
            for position in positions:
                if position.get('symbol') == symbol and float(position.get('contracts', 0)) != 0:
                    current_position = position
                    break
            
            if not current_position:
                await update.message.reply_text(f"📭 No open position found for {token}\n\nYou need an open position to set a take profit.")
                return
            
            # Extract position details
            contracts = float(current_position.get('contracts', 0))
            entry_price = float(current_position.get('entryPx', 0))
            unrealized_pnl = float(current_position.get('unrealizedPnl', 0))
            
            # Determine position direction and validate take profit price
            if contracts > 0:
                # Long position - take profit should be above entry price
                position_type = "LONG"
                exit_side = "sell"
                exit_emoji = "🔴"
                contracts_abs = contracts
                
                if profit_price <= entry_price:
                    await update.message.reply_text(
                        f"⚠️ Take profit price should be ABOVE entry price for long positions\n\n"
                        f"📊 Your {token} LONG position:\n"
                        f"• Entry Price: ${entry_price:,.2f}\n"
                        f"• Take Profit: ${profit_price:,.2f} ❌\n\n"
                        f"💡 Try a higher price like: /tp {token} {entry_price * 1.05:.0f}"
                    )
                    return
            else:
                # Short position - take profit should be below entry price
                position_type = "SHORT"
                exit_side = "buy"
                exit_emoji = "🟢"
                contracts_abs = abs(contracts)
                
                if profit_price >= entry_price:
                    await update.message.reply_text(
                        f"⚠️ Take profit price should be BELOW entry price for short positions\n\n"
                        f"📊 Your {token} SHORT position:\n"
                        f"• Entry Price: ${entry_price:,.2f}\n"
                        f"• Take Profit: ${profit_price:,.2f} ❌\n\n"
                        f"💡 Try a lower price like: /tp {token} {entry_price * 0.95:.0f}"
                    )
                    return
            
            # Get current market price for reference
            market_data = self.client.get_market_data(symbol)
            current_price = 0
            if market_data:
                current_price = float(market_data['ticker'].get('last', 0))
            
            # Calculate estimated P&L at take profit
            if contracts > 0:  # Long position
                pnl_at_tp = (profit_price - entry_price) * contracts_abs
            else:  # Short position
                pnl_at_tp = (entry_price - profit_price) * contracts_abs
            
            # Create confirmation message
            pnl_emoji = "🟢" if pnl_at_tp >= 0 else "🔴"
            
            confirmation_text = f"""
🎯 <b>Take Profit Order Confirmation</b>

📊 <b>Position Details:</b>
• Token: {token}
• Position: {position_type}
• Size: {contracts_abs} contracts
• Entry Price: ${entry_price:,.2f}
• Current Price: ${current_price:,.2f}

💰 <b>Take Profit Order:</b>
• Target Price: ${profit_price:,.2f}
• Action: {exit_side.upper()} (Close {position_type})
• Amount: {contracts_abs} {token}
• Order Type: Limit Order
• {pnl_emoji} Est. P&L: ${pnl_at_tp:,.2f}

⚠️ <b>Are you sure you want to set this take profit?</b>

This will place a limit {exit_side} order at ${profit_price:,.2f} to capture profits from your {position_type} position.
            """
            
            keyboard = [
                [
                    InlineKeyboardButton(f"✅ Set Take Profit", callback_data=f"confirm_tp_{token}_{exit_side}_{contracts_abs}_{profit_price}"),
                    InlineKeyboardButton("❌ Cancel", callback_data="cancel_order")
                ]
            ]
            reply_markup = InlineKeyboardMarkup(keyboard)
            
            await update.message.reply_text(confirmation_text, parse_mode='HTML', reply_markup=reply_markup)
            
        except ValueError:
            await update.message.reply_text("❌ Invalid price format. Please use numbers only.")
        except Exception as e:
            await update.message.reply_text(f"❌ Error processing take profit command: {e}")

    async def start_order_monitoring(self):
        """Start the order monitoring background task."""
        # Safety check in case this is called before initialization is complete
        if not hasattr(self, 'monitoring_active'):
            self.monitoring_active = False
            
        if self.monitoring_active:
            return
        
        self.monitoring_active = True
        logger.info("🔄 Starting order monitoring...")
        
        # Initialize tracking data
        await self._initialize_order_tracking()
        
        # Start monitoring loop
        asyncio.create_task(self._order_monitoring_loop())
    
    async def stop_order_monitoring(self):
        """Stop the order monitoring background task."""
        # Safety check in case this is called before initialization is complete
        if hasattr(self, 'monitoring_active'):
            self.monitoring_active = False
        logger.info("⏹️ Stopping order monitoring...")
    
    async def _initialize_order_tracking(self):
        """Initialize order and position tracking."""
        try:
            # Get current open orders to initialize tracking
            orders = self.client.get_open_orders()
            if orders:
                self.last_known_orders = {order.get('id') for order in orders if order.get('id')}
                logger.info(f"📋 Initialized tracking with {len(self.last_known_orders)} open orders")
            
            # Get current positions for P&L tracking
            positions = self.client.get_positions()
            if positions:
                for position in positions:
                    symbol = position.get('symbol')
                    contracts = float(position.get('contracts', 0))
                    entry_price = float(position.get('entryPx', 0))
                    
                    if symbol and contracts != 0:
                        self.last_known_positions[symbol] = {
                            'contracts': contracts,
                            'entry_price': entry_price
                        }
                logger.info(f"📊 Initialized tracking with {len(self.last_known_positions)} positions")
                
        except Exception as e:
            logger.error(f"❌ Error initializing order tracking: {e}")
    
    async def _order_monitoring_loop(self):
        """Main monitoring loop that runs every Config.BOT_HEARTBEAT_SECONDS seconds."""
        while getattr(self, 'monitoring_active', False):
            try:
                await self._check_order_fills()
                await asyncio.sleep(Config.BOT_HEARTBEAT_SECONDS)  # Use configurable interval
            except asyncio.CancelledError:
                logger.info("🛑 Order monitoring cancelled")
                break
            except Exception as e:
                logger.error(f"❌ Error in order monitoring loop: {e}")
                await asyncio.sleep(Config.BOT_HEARTBEAT_SECONDS)  # Continue monitoring even if there's an error
    
    async def _check_order_fills(self):
        """Check for filled orders and send notifications."""
        try:
            # Get current orders and positions
            current_orders = self.client.get_open_orders() or []
            current_positions = self.client.get_positions() or []
            
            # Get current order IDs
            current_order_ids = {order.get('id') for order in current_orders if order.get('id')}
            
            # Find filled orders (orders that were in last_known_orders but not in current_orders)
            filled_order_ids = self.last_known_orders - current_order_ids
            
            if filled_order_ids:
                logger.info(f"🎯 Detected {len(filled_order_ids)} filled orders")
                await self._process_filled_orders(filled_order_ids, current_positions)
                
                # Process pending stop losses for filled orders
                await self._process_pending_stop_losses(filled_order_ids)
            
            # Update tracking data
            self.last_known_orders = current_order_ids
            await self._update_position_tracking(current_positions)
            
            # Save state after updating tracking data
            self._save_bot_state()
            
            # Check price alarms
            await self._check_price_alarms()
            
            # Check external trades (trades made outside the bot)
            await self._check_external_trades()
            
            # Check stop losses (if risk management is enabled)
            if Config.RISK_MANAGEMENT_ENABLED:
                await self._check_stop_losses(current_positions)
            
            # Check deposits/withdrawals (hourly)
            await self._check_deposits_withdrawals()
            
            # Clean up cancelled orders from pending stop losses
            await self._cleanup_cancelled_stop_losses(current_order_ids)
            
        except Exception as e:
            logger.error(f"❌ Error checking order fills: {e}")

    async def _process_pending_stop_losses(self, filled_order_ids: set):
        """Process pending stop losses for filled orders."""
        try:
            processed_any = False
            for order_id in filled_order_ids:
                if order_id in self.pending_stop_losses:
                    stop_loss_info = self.pending_stop_losses[order_id]
                    
                    # Place the stop loss order
                    await self._place_pending_stop_loss(order_id, stop_loss_info)
                    
                    # Remove from pending after processing
                    del self.pending_stop_losses[order_id]
                    processed_any = True
                    logger.info(f"🗑️ Removed processed stop loss for order {order_id}")
            
            # Save state if any stop losses were processed
            if processed_any:
                self._save_bot_state()
                    
        except Exception as e:
            logger.error(f"❌ Error processing pending stop losses: {e}")

    async def _place_pending_stop_loss(self, original_order_id: str, stop_loss_info: Dict[str, Any]):
        """Place a pending stop loss order."""
        try:
            token = stop_loss_info['token']
            symbol = stop_loss_info['symbol']
            stop_price = stop_loss_info['stop_price']
            side = stop_loss_info['side']
            amount = stop_loss_info['amount']
            order_type = stop_loss_info['order_type']
            
            logger.info(f"🛑 Placing automatic stop loss: {side} {amount:.6f} {token} @ ${stop_price}")
            
            # Place the stop loss order as a limit order
            order = self.client.place_limit_order(symbol, side, amount, stop_price)
            
            if order:
                order_id = order.get('id', 'N/A')
                
                # Send notification
                await self._send_stop_loss_placed_notification(token, order_type, stop_price, amount, order_id, original_order_id)
                
                logger.info(f"✅ Successfully placed automatic stop loss for {token}: Order ID {order_id}")
            else:
                # Send failure notification
                await self._send_stop_loss_failed_notification(token, order_type, stop_price, amount, original_order_id)
                logger.error(f"❌ Failed to place automatic stop loss for {token}")
                
        except Exception as e:
            logger.error(f"❌ Error placing pending stop loss: {e}")
            await self._send_stop_loss_failed_notification(
                stop_loss_info.get('token', 'Unknown'), 
                stop_loss_info.get('order_type', 'Unknown'), 
                stop_loss_info.get('stop_price', 0), 
                stop_loss_info.get('amount', 0), 
                original_order_id, 
                str(e)
            )

    async def _cleanup_cancelled_stop_losses(self, current_order_ids: set):
        """Remove pending stop losses for cancelled orders."""
        try:
            # Find orders that are no longer active but were not filled
            orders_to_remove = []
            
            for order_id, stop_loss_info in self.pending_stop_losses.items():
                if order_id not in current_order_ids:
                    # Order is no longer in open orders, check if it was cancelled (not filled)
                    # We assume if it's not in current_order_ids and we haven't processed it as filled,
                    # then it was likely cancelled
                    orders_to_remove.append(order_id)
            
            # Remove cancelled orders from pending stop losses
            for order_id in orders_to_remove:
                stop_loss_info = self.pending_stop_losses[order_id]
                token = stop_loss_info['token']
                
                # Send notification about cancelled stop loss
                await self._send_stop_loss_cancelled_notification(token, stop_loss_info, order_id)
                
                # Remove from pending
                del self.pending_stop_losses[order_id]
                logger.info(f"🗑️ Removed pending stop loss for cancelled order {order_id}")
            
            # Save state if any stop losses were removed
            if orders_to_remove:
                self._save_bot_state()
                
        except Exception as e:
            logger.error(f"❌ Error cleaning up cancelled stop losses: {e}")

    async def _send_stop_loss_placed_notification(self, token: str, order_type: str, stop_price: float, amount: float, stop_order_id: str, original_order_id: str):
        """Send notification when stop loss is successfully placed."""
        try:
            position_type = order_type.upper()
            
            message = f"""
🛑 <b>Stop Loss Placed Automatically</b>

✅ <b>Stop Loss Active</b>

📊 <b>Details:</b>
• Token: {token}
• Position: {position_type}
• Stop Price: ${stop_price:,.2f}
• Amount: {amount:.6f} {token}
• Stop Loss Order ID: <code>{stop_order_id}</code>
• Original Order ID: <code>{original_order_id}</code>

🎯 <b>Protection:</b>
• Status: ACTIVE ✅
• Will execute if price reaches ${stop_price:,.2f}
• Order Type: Limit Order

💡 Your {position_type} position is now protected with automatic stop loss!
            """
            
            await self.send_message(message.strip())
            logger.info(f"📢 Sent stop loss placed notification: {token} @ ${stop_price}")
            
        except Exception as e:
            logger.error(f"❌ Error sending stop loss placed notification: {e}")

    async def _send_stop_loss_failed_notification(self, token: str, order_type: str, stop_price: float, amount: float, original_order_id: str, error: str = None):
        """Send notification when stop loss placement fails."""
        try:
            position_type = order_type.upper()
            
            message = f"""
⚠️ <b>Stop Loss Placement Failed</b>

❌ <b>Automatic Stop Loss Failed</b>

📊 <b>Details:</b>
• Token: {token}
• Position: {position_type}
• Intended Stop Price: ${stop_price:,.2f}
• Amount: {amount:.6f} {token}
• Original Order ID: <code>{original_order_id}</code>

🚨 <b>Action Required:</b>
• Your position is NOT protected
• Consider manually setting stop loss: <code>/sl {token} {stop_price:.0f}</code>
• Monitor your position closely

{f'🔧 Error: {error}' if error else ''}

💡 Use /sl command to manually set stop loss protection.
            """
            
            await self.send_message(message.strip())
            logger.info(f"📢 Sent stop loss failed notification: {token}")
            
        except Exception as e:
            logger.error(f"❌ Error sending stop loss failed notification: {e}")

    async def _send_stop_loss_cancelled_notification(self, token: str, stop_loss_info: Dict[str, Any], order_id: str):
        """Send notification when stop loss is cancelled due to order cancellation."""
        try:
            position_type = stop_loss_info['order_type'].upper()
            stop_price = stop_loss_info['stop_price']
            
            message = f"""
🚫 <b>Stop Loss Cancelled</b>

📊 <b>Original Order Cancelled</b>

• Token: {token}
• Position: {position_type}
• Cancelled Stop Price: ${stop_price:,.2f}
• Original Order ID: <code>{order_id}</code>

💡 <b>Status:</b>
• Pending stop loss automatically cancelled
• No position protection was placed
• Order was cancelled before execution

🔄 If you still want to trade {token}, place a new order with stop loss protection.
            """
            
            await self.send_message(message.strip())
            logger.info(f"📢 Sent stop loss cancelled notification: {token}")
            
        except Exception as e:
            logger.error(f"❌ Error sending stop loss cancelled notification: {e}")

    async def _check_price_alarms(self):
        """Check all active price alarms."""
        try:
            # Get all active alarms
            active_alarms = self.alarm_manager.get_all_active_alarms()
            if not active_alarms:
                return
            
            # Get unique tokens from alarms
            tokens_to_check = list(set(alarm['token'] for alarm in active_alarms))
            
            # Fetch current prices for all tokens
            price_data = {}
            for token in tokens_to_check:
                symbol = f"{token}/USDC:USDC"
                market_data = self.client.get_market_data(symbol)
                
                if market_data and market_data.get('ticker'):
                    current_price = market_data['ticker'].get('last')
                    if current_price is not None:
                        price_data[token] = float(current_price)
            
            # Check alarms against current prices
            triggered_alarms = self.alarm_manager.check_alarms(price_data)
            
            # Send notifications for triggered alarms
            for alarm in triggered_alarms:
                await self._send_alarm_notification(alarm)
                
        except Exception as e:
            logger.error(f"❌ Error checking price alarms: {e}")

    async def _send_alarm_notification(self, alarm: Dict[str, Any]):
        """Send notification for triggered alarm."""
        try:
            message = self.alarm_manager.format_triggered_alarm(alarm)
            await self.send_message(message)
            logger.info(f"📢 Sent alarm notification: {alarm['token']} ID {alarm['id']} @ ${alarm['triggered_price']}")
        except Exception as e:
            logger.error(f"❌ Error sending alarm notification: {e}")

    async def _check_external_trades(self):
        """Check for trades made outside the Telegram bot and update stats."""
        try:
            # Get recent fills from Hyperliquid
            recent_fills = self.client.get_recent_fills()
            
            if not recent_fills:
                return
            
            # Initialize last processed time if first run
            if self.last_processed_trade_time is None:
                # Set to current time minus 1 hour to catch recent activity
                self.last_processed_trade_time = (datetime.now() - timedelta(hours=1)).isoformat()
            
            # Filter for new trades since last check
            new_trades = []
            latest_trade_time = self.last_processed_trade_time
            
            for fill in recent_fills:
                fill_time = fill.get('timestamp')
                if fill_time:
                    # Convert timestamps to comparable format
                    try:
                        # Convert fill_time to string if it's not already
                        if isinstance(fill_time, (int, float)):
                            # Assume it's a unix timestamp
                            fill_time_str = datetime.fromtimestamp(fill_time / 1000 if fill_time > 1e10 else fill_time).isoformat()
                        else:
                            fill_time_str = str(fill_time)
                        
                        # Compare as strings
                        if fill_time_str > self.last_processed_trade_time:
                            new_trades.append(fill)
                            if fill_time_str > latest_trade_time:
                                latest_trade_time = fill_time_str
                    except Exception as timestamp_error:
                        logger.warning(f"⚠️ Error processing timestamp {fill_time}: {timestamp_error}")
                        continue
            
            if not new_trades:
                return
            
            # Process new trades
            for trade in new_trades:
                await self._process_external_trade(trade)
            
            # Update last processed time
            self.last_processed_trade_time = latest_trade_time
            
            # Save state after updating last processed time
            self._save_bot_state()
            
            if new_trades:
                logger.info(f"📊 Processed {len(new_trades)} external trades")
                
        except Exception as e:
            logger.error(f"❌ Error checking external trades: {e}")

    async def _check_deposits_withdrawals(self):
        """Check for deposits and withdrawals to maintain accurate P&L tracking."""
        try:
            # Check if it's time to run (hourly check)
            current_time = datetime.now()
            
            if self.last_deposit_withdrawal_check is not None:
                time_since_last_check = (current_time - self.last_deposit_withdrawal_check).total_seconds()
                if time_since_last_check < self.deposit_withdrawal_check_interval:
                    return  # Not time to check yet
            
            logger.info("🔍 Checking for deposits and withdrawals...")
            
            # Initialize last check time if first run
            if self.last_deposit_withdrawal_check is None:
                # Set to 24 hours ago to catch recent activity
                self.last_deposit_withdrawal_check = current_time - timedelta(hours=24)
            
            # Calculate timestamp for API calls (last check time)
            since_timestamp = int(self.last_deposit_withdrawal_check.timestamp() * 1000)  # Hyperliquid expects milliseconds
            
            # Track new deposits/withdrawals
            new_deposits = 0
            new_withdrawals = 0
            
            # Check if sync_client is available
            if not hasattr(self.client, 'sync_client') or not self.client.sync_client:
                logger.warning("⚠️ CCXT sync_client not available for deposit/withdrawal checking")
                self.last_deposit_withdrawal_check = current_time
                return
            
            # Set up user parameter for Hyperliquid API calls
            params = {}
            if Config.HYPERLIQUID_WALLET_ADDRESS:
                wallet_address = Config.HYPERLIQUID_WALLET_ADDRESS
                params['user'] = f"0x{wallet_address}" if not wallet_address.startswith('0x') else wallet_address
            else:
                logger.warning("⚠️ No wallet address configured for deposit/withdrawal checking")
                self.last_deposit_withdrawal_check = current_time
                return
            
            # Check for deposits
            try:
                deposits = self.client.sync_client.fetch_deposits(code='USDC', since=since_timestamp, params=params)
                if deposits:
                    for deposit in deposits:
                        amount = float(deposit.get('amount', 0))
                        timestamp = deposit.get('datetime', datetime.now().isoformat())
                        deposit_id = deposit.get('id', 'unknown')
                        
                        # Record in stats to adjust P&L calculations
                        self.stats.record_deposit(amount, timestamp, deposit_id)
                        new_deposits += 1
                        
                        # Send notification
                        await self._send_deposit_notification(amount, timestamp)
                        
            except Exception as e:
                logger.warning(f"⚠️ Error fetching deposits: {e}")
            
            # Check for withdrawals
            try:
                withdrawals = self.client.sync_client.fetch_withdrawals(code='USDC', since=since_timestamp, params=params)
                if withdrawals:
                    for withdrawal in withdrawals:
                        amount = float(withdrawal.get('amount', 0))
                        timestamp = withdrawal.get('datetime', datetime.now().isoformat())
                        withdrawal_id = withdrawal.get('id', 'unknown')
                        
                        # Record in stats to adjust P&L calculations
                        self.stats.record_withdrawal(amount, timestamp, withdrawal_id)
                        new_withdrawals += 1
                        
                        # Send notification
                        await self._send_withdrawal_notification(amount, timestamp)
                        
            except Exception as e:
                logger.warning(f"⚠️ Error fetching withdrawals: {e}")
            
            # Update last check time
            self.last_deposit_withdrawal_check = current_time
            
            # Save state after updating last check time
            self._save_bot_state()
            
            if new_deposits > 0 or new_withdrawals > 0:
                logger.info(f"💰 Processed {new_deposits} deposits and {new_withdrawals} withdrawals")
                
                # Get updated balance adjustments summary
                adjustments = self.stats.get_balance_adjustments_summary()
                logger.info(f"📊 Total adjustments: ${adjustments['net_adjustment']:,.2f} net ({adjustments['adjustment_count']} total)")
            
        except Exception as e:
            logger.error(f"❌ Error checking deposits/withdrawals: {e}")

    async def _send_deposit_notification(self, amount: float, timestamp: str):
        """Send notification for detected deposit."""
        try:
            time_str = datetime.fromisoformat(timestamp.replace('Z', '+00:00')).strftime('%H:%M:%S')
            
            message = f"""
💰 <b>Deposit Detected</b>

💵 <b>Amount:</b> ${amount:,.2f} USDC
⏰ <b>Time:</b> {time_str}

📊 <b>P&L Impact:</b>
• Initial balance adjusted to maintain accurate P&L
• Trading statistics unaffected by balance change
• This deposit will not show as trading profit

✅ <b>Balance tracking updated automatically</b>
            """
            
            await self.send_message(message.strip())
            logger.info(f"📱 Sent deposit notification: ${amount:,.2f}")
            
        except Exception as e:
            logger.error(f"❌ Error sending deposit notification: {e}")

    async def _send_withdrawal_notification(self, amount: float, timestamp: str):
        """Send notification for detected withdrawal."""
        try:
            time_str = datetime.fromisoformat(timestamp.replace('Z', '+00:00')).strftime('%H:%M:%S')
            
            message = f"""
💸 <b>Withdrawal Detected</b>

💵 <b>Amount:</b> ${amount:,.2f} USDC
⏰ <b>Time:</b> {time_str}

📊 <b>P&L Impact:</b>
• Initial balance adjusted to maintain accurate P&L
• Trading statistics unaffected by balance change
• This withdrawal will not show as trading loss

✅ <b>Balance tracking updated automatically</b>
            """
            
            await self.send_message(message.strip())
            logger.info(f"📱 Sent withdrawal notification: ${amount:,.2f}")
            
        except Exception as e:
            logger.error(f"❌ Error sending withdrawal notification: {e}")

    async def _process_external_trade(self, trade: Dict[str, Any]):
        """Process an individual external trade and determine if it's opening or closing a position."""
        try:
            # Extract trade information
            symbol = trade.get('symbol', '')
            side = trade.get('side', '')
            amount = float(trade.get('amount', 0))
            price = float(trade.get('price', 0))
            trade_id = trade.get('id', 'external')
            timestamp = trade.get('timestamp', '')
            
            if not all([symbol, side, amount, price]):
                return
            
            # Record trade in stats and get action type using enhanced tracking
            action_type = self.stats.record_trade_with_enhanced_tracking(symbol, side, amount, price, trade_id, "external")
            
            # Send enhanced notification based on action type
            await self._send_enhanced_trade_notification(symbol, side, amount, price, action_type, timestamp)
            
            logger.info(f"📋 Processed external trade: {side} {amount} {symbol} @ ${price} ({action_type})")
            
        except Exception as e:
            logger.error(f"❌ Error processing external trade: {e}")

    async def _send_enhanced_trade_notification(self, symbol: str, side: str, amount: float, price: float, action_type: str, timestamp: str = None):
        """Send enhanced trade notification based on position action type."""
        try:
            token = symbol.split('/')[0] if '/' in symbol else symbol
            position = self.stats.get_enhanced_position_state(symbol)
            
            if timestamp is None:
                time_str = datetime.now().strftime('%H:%M:%S')
            else:
                try:
                    time_obj = datetime.fromisoformat(timestamp.replace('Z', '+00:00'))
                    time_str = time_obj.strftime('%H:%M:%S')
                except:
                    time_str = "Unknown"
            
            # Handle different action types
            if action_type in ['long_opened', 'short_opened']:
                await self._send_position_opened_notification(token, side, amount, price, action_type, time_str)
            
            elif action_type in ['long_increased', 'short_increased']:
                await self._send_position_increased_notification(token, side, amount, price, position, action_type, time_str)
            
            elif action_type in ['long_reduced', 'short_reduced']:
                pnl_data = self.stats.calculate_enhanced_position_pnl(symbol, amount, price)
                await self._send_position_reduced_notification(token, side, amount, price, position, pnl_data, action_type, time_str)
            
            elif action_type in ['long_closed', 'short_closed']:
                pnl_data = self.stats.calculate_enhanced_position_pnl(symbol, amount, price)
                await self._send_position_closed_notification(token, side, amount, price, position, pnl_data, action_type, time_str)
            
            elif action_type in ['long_closed_and_short_opened', 'short_closed_and_long_opened']:
                await self._send_position_flipped_notification(token, side, amount, price, action_type, time_str)
            
            else:
                # Fallback to generic notification
                await self._send_external_trade_notification({
                    'symbol': symbol,
                    'side': side,
                    'amount': amount,
                    'price': price,
                    'timestamp': timestamp or datetime.now().isoformat()
                })
                
        except Exception as e:
            logger.error(f"❌ Error sending enhanced trade notification: {e}")

    async def _send_position_opened_notification(self, token: str, side: str, amount: float, price: float, action_type: str, time_str: str):
        """Send notification for newly opened position."""
        position_type = "LONG" if action_type == 'long_opened' else "SHORT"
        side_emoji = "🟢" if side.lower() == 'buy' else "🔴"
        trade_value = amount * price
        
        message = f"""
🚀 <b>Position Opened</b>

📊 <b>New {position_type} Position:</b>
• Token: {token}
• Direction: {position_type}
• Entry Size: {amount} {token}
• Entry Price: ${price:,.2f}
• Position Value: ${trade_value:,.2f}

{side_emoji} <b>Trade Details:</b>
• Side: {side.upper()}
• Order Type: Market/Limit
• Status: OPENED ✅

⏰ <b>Time:</b> {time_str}
📈 <b>Note:</b> New {position_type} position established
📊 Use /positions to view current holdings
        """
        
        await self.send_message(message.strip())
        logger.info(f"📢 Position opened: {token} {position_type} {amount} @ ${price}")

    async def _send_position_increased_notification(self, token: str, side: str, amount: float, price: float, position: Dict, action_type: str, time_str: str):
        """Send notification for position increase (additional entry)."""
        position_type = "LONG" if action_type == 'long_increased' else "SHORT"
        side_emoji = "🟢" if side.lower() == 'buy' else "🔴"
        
        total_size = abs(position['contracts'])
        avg_entry = position['avg_entry_price']
        entry_count = position['entry_count']
        total_value = total_size * avg_entry
        
        message = f"""
📈 <b>Position Increased</b>

📊 <b>{position_type} Position Updated:</b>
• Token: {token}
• Direction: {position_type}
• Added Size: {amount} {token} @ ${price:,.2f}
• New Total Size: {total_size} {token}
• Average Entry: ${avg_entry:,.2f}

{side_emoji} <b>Position Summary:</b>
• Total Value: ${total_value:,.2f}
• Entry Points: {entry_count}
• Last Entry: ${price:,.2f}
• Status: INCREASED ⬆️

⏰ <b>Time:</b> {time_str}
💡 <b>Strategy:</b> Multiple entry averaging
📊 Use /positions for complete position details
        """
        
        await self.send_message(message.strip())
        logger.info(f"📢 Position increased: {token} {position_type} +{amount} @ ${price} (total: {total_size})")

    async def _send_position_reduced_notification(self, token: str, side: str, amount: float, price: float, position: Dict, pnl_data: Dict, action_type: str, time_str: str):
        """Send notification for partial position close."""
        position_type = "LONG" if action_type == 'long_reduced' else "SHORT"
        
        remaining_size = abs(position['contracts'])
        avg_entry = pnl_data.get('avg_entry_price', position['avg_entry_price'])
        pnl = pnl_data['pnl']
        pnl_percent = pnl_data['pnl_percent']
        pnl_emoji = "🟢" if pnl >= 0 else "🔴"
        
        partial_value = amount * price
        
        message = f"""
📉 <b>Position Partially Closed</b>

📊 <b>{position_type} Partial Exit:</b>
• Token: {token}
• Direction: {position_type}
• Closed Size: {amount} {token}
• Exit Price: ${price:,.2f}
• Remaining Size: {remaining_size} {token}

{pnl_emoji} <b>Partial P&L:</b>
• Entry Price: ${avg_entry:,.2f}
• Exit Value: ${partial_value:,.2f}
• P&L: ${pnl:,.2f} ({pnl_percent:+.2f}%)
• Result: {"PROFIT" if pnl >= 0 else "LOSS"}

💰 <b>Position Status:</b>
• Status: PARTIALLY CLOSED 📉
• Take Profit Strategy: Active

⏰ <b>Time:</b> {time_str}
📊 Use /positions to view remaining position
        """
        
        await self.send_message(message.strip())
        logger.info(f"📢 Position reduced: {token} {position_type} -{amount} @ ${price} P&L: ${pnl:.2f}")

    async def _send_position_closed_notification(self, token: str, side: str, amount: float, price: float, position: Dict, pnl_data: Dict, action_type: str, time_str: str):
        """Send notification for fully closed position."""
        position_type = "LONG" if action_type == 'long_closed' else "SHORT"
        
        avg_entry = pnl_data.get('avg_entry_price', position['avg_entry_price'])
        pnl = pnl_data['pnl']
        pnl_percent = pnl_data['pnl_percent']
        pnl_emoji = "🟢" if pnl >= 0 else "🔴"
        
        entry_count = position.get('entry_count', 1)
        exit_value = amount * price
        
        message = f"""
🎯 <b>Position Fully Closed</b>

📊 <b>{position_type} Position Summary:</b>
• Token: {token}
• Direction: {position_type}
• Total Size: {amount} {token}
• Average Entry: ${avg_entry:,.2f}
• Exit Price: ${price:,.2f}
• Exit Value: ${exit_value:,.2f}

{pnl_emoji} <b>Total P&L:</b>
• P&L: ${pnl:,.2f} ({pnl_percent:+.2f}%)
• Result: {"PROFIT" if pnl >= 0 else "LOSS"}
• Entry Points Used: {entry_count}

✅ <b>Trade Complete:</b>
• Status: FULLY CLOSED 🎯
• Position: FLAT

⏰ <b>Time:</b> {time_str}
📊 Use /stats to view updated performance
        """
        
        await self.send_message(message.strip())
        logger.info(f"📢 Position closed: {token} {position_type} {amount} @ ${price} Total P&L: ${pnl:.2f}")

    async def _send_position_flipped_notification(self, token: str, side: str, amount: float, price: float, action_type: str, time_str: str):
        """Send notification for position flip (close and reverse)."""
        if action_type == 'long_closed_and_short_opened':
            old_type = "LONG"
            new_type = "SHORT"
        else:
            old_type = "SHORT"
            new_type = "LONG"
        
        message = f"""
🔄 <b>Position Flipped</b>

📊 <b>Direction Change:</b>
• Token: {token}
• Previous: {old_type} position
• New: {new_type} position
• Size: {amount} {token}
• Price: ${price:,.2f}

🎯 <b>Trade Summary:</b>
• {old_type} position: CLOSED ✅
• {new_type} position: OPENED 🚀
• Flip Price: ${price:,.2f}
• Status: POSITION REVERSED

⏰ <b>Time:</b> {time_str}
💡 <b>Strategy:</b> Directional change
📊 Use /positions to view new position
        """
        
        await self.send_message(message.strip())
        logger.info(f"📢 Position flipped: {token} {old_type} -> {new_type} @ ${price}")

    async def monitoring_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /monitoring command to show monitoring status."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        # Get alarm statistics
        alarm_stats = self.alarm_manager.get_statistics()
        
        # Get balance adjustments info
        adjustments_summary = self.stats.get_balance_adjustments_summary()
        last_deposit_check = "Never"
        next_deposit_check = "Unknown"
        
        if hasattr(self, 'last_deposit_withdrawal_check') and self.last_deposit_withdrawal_check:
            last_deposit_check = self.last_deposit_withdrawal_check.strftime('%H:%M:%S')
            next_check_time = self.last_deposit_withdrawal_check + timedelta(seconds=self.deposit_withdrawal_check_interval)
            next_deposit_check = next_check_time.strftime('%H:%M:%S')
        
        # Safety checks for monitoring attributes
        monitoring_active = getattr(self, 'monitoring_active', False)
        last_known_orders = getattr(self, 'last_known_orders', set())
        last_known_positions = getattr(self, 'last_known_positions', {})
        deposit_withdrawal_check_interval = getattr(self, 'deposit_withdrawal_check_interval', 3600)
        
        status_text = f"""
🔄 <b>System Monitoring Status</b>

📊 <b>Order Monitoring:</b>
• Active: {'✅ Yes' if monitoring_active else '❌ No'}
• Check Interval: {Config.BOT_HEARTBEAT_SECONDS} seconds
• Orders Tracked: {len(last_known_orders)}
• Positions Tracked: {len(last_known_positions)}
• Pending Stop Losses: {len(getattr(self, 'pending_stop_losses', {}))}

💰 <b>Deposit/Withdrawal Monitoring:</b>
• Check Interval: {deposit_withdrawal_check_interval // 3600} hour(s)
• Last Check: {last_deposit_check}
• Next Check: {next_deposit_check}
• Total Adjustments: {adjustments_summary['adjustment_count']}
• Net Adjustment: ${adjustments_summary['net_adjustment']:,.2f}

🔔 <b>Price Alarms:</b>
• Active Alarms: {alarm_stats['total_active']}
• Triggered Today: {alarm_stats['total_triggered']}
• Tokens Monitored: {alarm_stats['tokens_tracked']}
• Next Alarm ID: {alarm_stats['next_id']}

🔄 <b>External Trade Monitoring:</b>
• Last Check: {self.last_processed_trade_time or 'Not started'}
• Auto Stats Update: ✅ Enabled
• External Notifications: ✅ Enabled

🛡️ <b>Risk Management:</b>
• Automatic Stop Loss: {'✅ Enabled' if Config.RISK_MANAGEMENT_ENABLED else '❌ Disabled'}
• Stop Loss Threshold: {Config.STOP_LOSS_PERCENTAGE}%
• Position Monitoring: {'✅ Active' if Config.RISK_MANAGEMENT_ENABLED else '❌ Inactive'}
• Order-based Stop Loss: ✅ Enabled

📈 <b>Notifications:</b>
• 🚀 Position Opened/Increased
• 📉 Position Partially/Fully Closed
• 🎯 P&L Calculations
• 🔔 Price Alarm Triggers
• 🔄 External Trade Detection
• 💰 Deposit/Withdrawal Detection
• 🛑 Automatic Stop Loss Triggers
• 🛑 Order-based Stop Loss Placement

💾 <b>Bot State Persistence:</b>
• Pending Stop Losses: Saved to disk
• Order Tracking: Saved to disk  
• External Trade Times: Saved to disk
• Deposit Check Times: Saved to disk
• State File: bot_state.json
• Survives Bot Restarts: ✅ Yes

⏰ <b>Last Check:</b> {datetime.now().strftime('%H:%M:%S')}

💡 <b>Monitoring Features:</b>
• Real-time order fill detection
• Automatic P&L calculation
• Position change tracking
• Price alarm monitoring
• External trade monitoring
• Deposit/withdrawal tracking
• Auto stats synchronization
• Order-based stop loss placement
• Instant Telegram notifications
        """
        
        if alarm_stats['token_breakdown']:
            status_text += f"\n\n📋 <b>Active Alarms by Token:</b>\n"
            for token, count in alarm_stats['token_breakdown'].items():
                status_text += f"• {token}: {count} alarm{'s' if count != 1 else ''}\n"
        
        await update.message.reply_text(status_text.strip(), parse_mode='HTML')

    async def alarm_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /alarm command for price alerts."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        try:
            if not context.args or len(context.args) == 0:
                # No arguments - list all alarms
                alarms = self.alarm_manager.get_all_active_alarms()
                message = self.alarm_manager.format_alarm_list(alarms)
                await update.message.reply_text(message, parse_mode='HTML')
                return
            
            elif len(context.args) == 1:
                arg = context.args[0]
                
                # Check if argument is a number (alarm ID to remove)
                try:
                    alarm_id = int(arg)
                    # Remove alarm by ID
                    if self.alarm_manager.remove_alarm(alarm_id):
                        await update.message.reply_text(f"✅ Alarm ID {alarm_id} has been removed.")
                    else:
                        await update.message.reply_text(f"❌ Alarm ID {alarm_id} not found.")
                    return
                except ValueError:
                    # Not a number, treat as token
                    token = arg.upper()
                    alarms = self.alarm_manager.get_alarms_by_token(token)
                    message = self.alarm_manager.format_alarm_list(alarms, f"{token} Price Alarms")
                    await update.message.reply_text(message, parse_mode='HTML')
                    return
            
            elif len(context.args) == 2:
                # Set new alarm: /alarm TOKEN PRICE
                token = context.args[0].upper()
                target_price = float(context.args[1])
                
                # Get current market price
                symbol = f"{token}/USDC:USDC"
                market_data = self.client.get_market_data(symbol)
                
                if not market_data or not market_data.get('ticker'):
                    await update.message.reply_text(f"❌ Could not fetch current price for {token}")
                    return
                
                current_price = float(market_data['ticker'].get('last', 0))
                if current_price <= 0:
                    await update.message.reply_text(f"❌ Invalid current price for {token}")
                    return
                
                # Create the alarm
                alarm = self.alarm_manager.create_alarm(token, target_price, current_price)
                
                # Format confirmation message
                direction_emoji = "📈" if alarm['direction'] == 'above' else "📉"
                price_diff = abs(target_price - current_price)
                price_diff_percent = (price_diff / current_price) * 100
                
                message = f"""
✅ <b>Price Alarm Created</b>

📊 <b>Alarm Details:</b>
• Alarm ID: {alarm['id']}
• Token: {token}
• Target Price: ${target_price:,.2f}
• Current Price: ${current_price:,.2f}
• Direction: {alarm['direction'].upper()}

{direction_emoji} <b>Alert Condition:</b>
Will trigger when {token} price moves {alarm['direction']} ${target_price:,.2f}

💰 <b>Price Difference:</b>
• Distance: ${price_diff:,.2f} ({price_diff_percent:.2f}%)
• Status: ACTIVE ✅

⏰ <b>Created:</b> {datetime.now().strftime('%H:%M:%S')}

💡 The alarm will be checked every {Config.BOT_HEARTBEAT_SECONDS} seconds and you'll receive a notification when triggered.
                """
                
                await update.message.reply_text(message.strip(), parse_mode='HTML')
                
            else:
                # Too many arguments
                await update.message.reply_text(
                    "❌ Invalid usage. Examples:\n\n"
                    "• <code>/alarm</code> - List all alarms\n"
                    "• <code>/alarm BTC</code> - List BTC alarms\n"
                    "• <code>/alarm BTC 50000</code> - Set alarm for BTC at $50,000\n"
                    "• <code>/alarm 3</code> - Remove alarm ID 3",
                    parse_mode='HTML'
                )
                
        except ValueError:
            await update.message.reply_text("❌ Invalid price format. Please use numbers only.")
        except Exception as e:
            error_message = f"❌ Error processing alarm command: {str(e)}"
            await update.message.reply_text(error_message)
            logger.error(f"Error in alarm command: {e}")

    async def logs_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /logs command to show log file statistics and cleanup options."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        try:
            # Check for cleanup argument
            if context.args and len(context.args) >= 1:
                if context.args[0].lower() == 'cleanup':
                    # Get days parameter (default 30)
                    days_to_keep = 30
                    if len(context.args) >= 2:
                        try:
                            days_to_keep = int(context.args[1])
                        except ValueError:
                            await update.message.reply_text("❌ Invalid number of days. Using default (30).")
                    
                    # Perform cleanup
                    await update.message.reply_text(f"🧹 Cleaning up log files older than {days_to_keep} days...")
                    cleanup_logs(days_to_keep)
                    await update.message.reply_text(f"✅ Log cleanup completed!")
                    return
            
            # Show log statistics
            log_stats_text = format_log_stats()
            
            # Add additional info
            status_text = f"""
📊 <b>System Logging Status</b>

{log_stats_text}

📈 <b>Log Configuration:</b>
• Log Level: {Config.LOG_LEVEL}
• Heartbeat Interval: {Config.BOT_HEARTBEAT_SECONDS}s
• Bot Uptime: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}

💡 <b>Log Management:</b>
• <code>/logs cleanup</code> - Clean old logs (30 days)
• <code>/logs cleanup 7</code> - Clean logs older than 7 days
• Log rotation happens automatically
• Old backups are removed automatically

🔧 <b>Configuration:</b>
• Rotation Type: {Config.LOG_ROTATION_TYPE}
• Max Size: {Config.LOG_MAX_SIZE_MB}MB (size rotation)
• Backup Count: {Config.LOG_BACKUP_COUNT}
            """
            
            await update.message.reply_text(status_text.strip(), parse_mode='HTML')
            
        except Exception as e:
            error_message = f"❌ Error processing logs command: {str(e)}"
            await update.message.reply_text(error_message)
            logger.error(f"Error in logs command: {e}")

    async def performance_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /performance command to show token performance ranking or detailed stats."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        try:
            # Check if specific token is requested
            if context.args and len(context.args) >= 1:
                # Detailed performance for specific token
                token = context.args[0].upper()
                await self._show_token_performance(update, token)
            else:
                # Show token performance ranking
                await self._show_performance_ranking(update)
                
        except Exception as e:
            error_message = f"❌ Error processing performance command: {str(e)}"
            await update.message.reply_text(error_message)
            logger.error(f"Error in performance command: {e}")

    async def _show_performance_ranking(self, update: Update):
        """Show token performance ranking (compressed view)."""
        token_performance = self.stats.get_token_performance()
        
        if not token_performance:
            await update.message.reply_text(
                "📊 <b>Token Performance</b>\n\n"
                "📭 No trading data available yet.\n\n"
                "💡 Performance tracking starts after your first completed trades.\n"
                "Use /long or /short to start trading!",
                parse_mode='HTML'
            )
            return
        
        # Sort tokens by total P&L (best to worst)
        sorted_tokens = sorted(
            token_performance.items(),
            key=lambda x: x[1]['total_pnl'],
            reverse=True
        )
        
        performance_text = "🏆 <b>Token Performance Ranking</b>\n\n"
        
        # Add ranking with emojis
        for i, (token, stats) in enumerate(sorted_tokens, 1):
            # Ranking emoji
            if i == 1:
                rank_emoji = "🥇"
            elif i == 2:
                rank_emoji = "🥈"
            elif i == 3:
                rank_emoji = "🥉"
            else:
                rank_emoji = f"#{i}"
            
            # P&L emoji
            pnl_emoji = "🟢" if stats['total_pnl'] >= 0 else "🔴"
            
            # Format the line
            performance_text += f"{rank_emoji} <b>{token}</b>\n"
            performance_text += f"   {pnl_emoji} P&L: ${stats['total_pnl']:,.2f} ({stats['pnl_percentage']:+.1f}%)\n"
            performance_text += f"   📊 Trades: {stats['completed_trades']}"
            
            # Add win rate if there are completed trades
            if stats['completed_trades'] > 0:
                performance_text += f" | Win: {stats['win_rate']:.0f}%"
            
            performance_text += "\n\n"
        
        # Add summary
        total_pnl = sum(stats['total_pnl'] for stats in token_performance.values())
        total_trades = sum(stats['completed_trades'] for stats in token_performance.values())
        total_pnl_emoji = "🟢" if total_pnl >= 0 else "🔴"
        
        performance_text += f"💼 <b>Portfolio Summary:</b>\n"
        performance_text += f"   {total_pnl_emoji} Total P&L: ${total_pnl:,.2f}\n"
        performance_text += f"   📈 Tokens Traded: {len(token_performance)}\n"
        performance_text += f"   🔄 Completed Trades: {total_trades}\n\n"
        
        performance_text += f"💡 <b>Usage:</b> <code>/performance BTC</code> for detailed {Config.DEFAULT_TRADING_TOKEN} stats"
        
        await update.message.reply_text(performance_text.strip(), parse_mode='HTML')

    async def _show_token_performance(self, update: Update, token: str):
        """Show detailed performance for a specific token."""
        token_stats = self.stats.get_token_detailed_stats(token)
        
        # Check if token has any data
        if token_stats.get('total_trades', 0) == 0:
            await update.message.reply_text(
                f"📊 <b>{token} Performance</b>\n\n"
                f"📭 No trading history found for {token}.\n\n"
                f"💡 Start trading {token} with:\n"
                f"• <code>/long {token} 100</code>\n"
                f"• <code>/short {token} 100</code>\n\n"
                f"🔄 Use <code>/performance</code> to see all token rankings.",
                parse_mode='HTML'
            )
            return
        
        # Check if there's a message (no completed trades)
        if 'message' in token_stats and token_stats.get('completed_trades', 0) == 0:
            await update.message.reply_text(
                f"📊 <b>{token} Performance</b>\n\n"
                f"{token_stats['message']}\n\n"
                f"📈 <b>Current Activity:</b>\n"
                f"• Total Trades: {token_stats['total_trades']}\n"
                f"• Buy Orders: {token_stats.get('buy_trades', 0)}\n"
                f"• Sell Orders: {token_stats.get('sell_trades', 0)}\n"
                f"• Volume: ${token_stats.get('total_volume', 0):,.2f}\n\n"
                f"💡 Complete some trades to see P&L statistics!\n"
                f"🔄 Use <code>/performance</code> to see all token rankings.",
                parse_mode='HTML'
            )
            return
        
        # Detailed stats display
        pnl_emoji = "🟢" if token_stats['total_pnl'] >= 0 else "🔴"
        
        performance_text = f"""
📊 <b>{token} Detailed Performance</b>

💰 <b>P&L Summary:</b>
• {pnl_emoji} Total P&L: ${token_stats['total_pnl']:,.2f} ({token_stats['pnl_percentage']:+.2f}%)
• 💵 Total Volume: ${token_stats['completed_volume']:,.2f}
• 📈 Expectancy: ${token_stats['expectancy']:,.2f}

📊 <b>Trading Activity:</b>
• Total Trades: {token_stats['total_trades']}
• Completed: {token_stats['completed_trades']}
• Buy Orders: {token_stats['buy_trades']}
• Sell Orders: {token_stats['sell_trades']}

🏆 <b>Performance Metrics:</b>
• Win Rate: {token_stats['win_rate']:.1f}%
• Profit Factor: {token_stats['profit_factor']:.2f}
• Wins: {token_stats['total_wins']} | Losses: {token_stats['total_losses']}

💡 <b>Best/Worst:</b>
• Largest Win: ${token_stats['largest_win']:,.2f}
• Largest Loss: ${token_stats['largest_loss']:,.2f}
• Avg Win: ${token_stats['avg_win']:,.2f}
• Avg Loss: ${token_stats['avg_loss']:,.2f}
        """
        
        # Add recent trades if available
        if token_stats.get('recent_trades'):
            performance_text += f"\n🔄 <b>Recent Trades:</b>\n"
            for trade in token_stats['recent_trades'][-3:]:  # Last 3 trades
                trade_time = datetime.fromisoformat(trade['timestamp']).strftime('%m/%d %H:%M')
                side_emoji = "🟢" if trade['side'] == 'buy' else "🔴"
                pnl_display = f" | P&L: ${trade.get('pnl', 0):.2f}" if trade.get('pnl', 0) != 0 else ""
                
                performance_text += f"• {side_emoji} {trade['side'].upper()} ${trade['value']:,.0f} @ {trade_time}{pnl_display}\n"
        
        performance_text += f"\n🔄 Use <code>/performance</code> to see all token rankings"
        
        await update.message.reply_text(performance_text.strip(), parse_mode='HTML')

    async def daily_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /daily command to show daily performance stats."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        try:
            daily_stats = self.stats.get_daily_stats(10)
            
            if not daily_stats:
                await update.message.reply_text(
                    "📅 <b>Daily Performance</b>\n\n"
                    "📭 No daily performance data available yet.\n\n"
                    "💡 Daily stats are calculated from completed trades.\n"
                    "Start trading to see daily performance!",
                    parse_mode='HTML'
                )
                return
            
            daily_text = "📅 <b>Daily Performance (Last 10 Days)</b>\n\n"
            
            total_pnl = 0
            total_trades = 0
            trading_days = 0
            
            for day_stats in daily_stats:
                if day_stats['has_trades']:
                    # Day with completed trades
                    pnl_emoji = "🟢" if day_stats['pnl'] >= 0 else "🔴"
                    daily_text += f"📊 <b>{day_stats['date_formatted']}</b>\n"
                    daily_text += f"   {pnl_emoji} P&L: ${day_stats['pnl']:,.2f} ({day_stats['pnl_pct']:+.1f}%)\n"
                    daily_text += f"   🔄 Trades: {day_stats['trades']}\n\n"
                    
                    total_pnl += day_stats['pnl']
                    total_trades += day_stats['trades']
                    trading_days += 1
                else:
                    # Day with no trades
                    daily_text += f"📊 <b>{day_stats['date_formatted']}</b>\n"
                    daily_text += f"   📭 No completed trades\n\n"
            
            # Add summary
            if trading_days > 0:
                total_pnl_emoji = "🟢" if total_pnl >= 0 else "🔴"
                daily_text += f"💼 <b>10-Day Summary:</b>\n"
                daily_text += f"   {total_pnl_emoji} Total P&L: ${total_pnl:,.2f}\n"
                daily_text += f"   🔄 Total Trades: {total_trades}\n"
                daily_text += f"   📈 Trading Days: {trading_days}/10\n"
                daily_text += f"   📊 Avg per Trading Day: ${total_pnl/trading_days:,.2f}"
            else:
                daily_text += f"💼 <b>10-Day Summary:</b>\n"
                daily_text += f"   📭 No completed trades in the last 10 days\n"
                daily_text += f"   💡 Start trading to see daily performance!"
            
            await update.message.reply_text(daily_text.strip(), parse_mode='HTML')
            
        except Exception as e:
            error_message = f"❌ Error processing daily command: {str(e)}"
            await update.message.reply_text(error_message)
            logger.error(f"Error in daily command: {e}")

    async def weekly_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /weekly command to show weekly performance stats."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        try:
            weekly_stats = self.stats.get_weekly_stats(10)
            
            if not weekly_stats:
                await update.message.reply_text(
                    "📊 <b>Weekly Performance</b>\n\n"
                    "📭 No weekly performance data available yet.\n\n"
                    "💡 Weekly stats are calculated from completed trades.\n"
                    "Start trading to see weekly performance!",
                    parse_mode='HTML'
                )
                return
            
            weekly_text = "📊 <b>Weekly Performance (Last 10 Weeks)</b>\n\n"
            
            total_pnl = 0
            total_trades = 0
            trading_weeks = 0
            
            for week_stats in weekly_stats:
                if week_stats['has_trades']:
                    # Week with completed trades
                    pnl_emoji = "🟢" if week_stats['pnl'] >= 0 else "🔴"
                    weekly_text += f"📈 <b>{week_stats['week_formatted']}</b>\n"
                    weekly_text += f"   {pnl_emoji} P&L: ${week_stats['pnl']:,.2f} ({week_stats['pnl_pct']:+.1f}%)\n"
                    weekly_text += f"   🔄 Trades: {week_stats['trades']}\n\n"
                    
                    total_pnl += week_stats['pnl']
                    total_trades += week_stats['trades']
                    trading_weeks += 1
                else:
                    # Week with no trades
                    weekly_text += f"📈 <b>{week_stats['week_formatted']}</b>\n"
                    weekly_text += f"   📭 No completed trades\n\n"
            
            # Add summary
            if trading_weeks > 0:
                total_pnl_emoji = "🟢" if total_pnl >= 0 else "🔴"
                weekly_text += f"💼 <b>10-Week Summary:</b>\n"
                weekly_text += f"   {total_pnl_emoji} Total P&L: ${total_pnl:,.2f}\n"
                weekly_text += f"   🔄 Total Trades: {total_trades}\n"
                weekly_text += f"   📈 Trading Weeks: {trading_weeks}/10\n"
                weekly_text += f"   📊 Avg per Trading Week: ${total_pnl/trading_weeks:,.2f}"
            else:
                weekly_text += f"💼 <b>10-Week Summary:</b>\n"
                weekly_text += f"   📭 No completed trades in the last 10 weeks\n"
                weekly_text += f"   💡 Start trading to see weekly performance!"
            
            await update.message.reply_text(weekly_text.strip(), parse_mode='HTML')
            
        except Exception as e:
            error_message = f"❌ Error processing weekly command: {str(e)}"
            await update.message.reply_text(error_message)
            logger.error(f"Error in weekly command: {e}")

    async def monthly_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /monthly command to show monthly performance stats."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        try:
            monthly_stats = self.stats.get_monthly_stats(10)
            
            if not monthly_stats:
                await update.message.reply_text(
                    "📆 <b>Monthly Performance</b>\n\n"
                    "📭 No monthly performance data available yet.\n\n"
                    "💡 Monthly stats are calculated from completed trades.\n"
                    "Start trading to see monthly performance!",
                    parse_mode='HTML'
                )
                return
            
            monthly_text = "📆 <b>Monthly Performance (Last 10 Months)</b>\n\n"
            
            total_pnl = 0
            total_trades = 0
            trading_months = 0
            
            for month_stats in monthly_stats:
                if month_stats['has_trades']:
                    # Month with completed trades
                    pnl_emoji = "🟢" if month_stats['pnl'] >= 0 else "🔴"
                    monthly_text += f"📅 <b>{month_stats['month_formatted']}</b>\n"
                    monthly_text += f"   {pnl_emoji} P&L: ${month_stats['pnl']:,.2f} ({month_stats['pnl_pct']:+.1f}%)\n"
                    monthly_text += f"   🔄 Trades: {month_stats['trades']}\n\n"
                    
                    total_pnl += month_stats['pnl']
                    total_trades += month_stats['trades']
                    trading_months += 1
                else:
                    # Month with no trades
                    monthly_text += f"📅 <b>{month_stats['month_formatted']}</b>\n"
                    monthly_text += f"   📭 No completed trades\n\n"
            
            # Add summary
            if trading_months > 0:
                total_pnl_emoji = "🟢" if total_pnl >= 0 else "🔴"
                monthly_text += f"💼 <b>10-Month Summary:</b>\n"
                monthly_text += f"   {total_pnl_emoji} Total P&L: ${total_pnl:,.2f}\n"
                monthly_text += f"   🔄 Total Trades: {total_trades}\n"
                monthly_text += f"   📈 Trading Months: {trading_months}/10\n"
                monthly_text += f"   📊 Avg per Trading Month: ${total_pnl/trading_months:,.2f}"
            else:
                monthly_text += f"💼 <b>10-Month Summary:</b>\n"
                monthly_text += f"   📭 No completed trades in the last 10 months\n"
                monthly_text += f"   💡 Start trading to see monthly performance!"
            
            await update.message.reply_text(monthly_text.strip(), parse_mode='HTML')
            
        except Exception as e:
            error_message = f"❌ Error processing monthly command: {str(e)}"
            await update.message.reply_text(error_message)
            logger.error(f"Error in monthly command: {e}")
    
    async def risk_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /risk command to show advanced risk metrics."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        try:
            # Get current balance for context
            balance = self.client.get_balance()
            current_balance = 0
            if balance and balance.get('total'):
                current_balance = float(balance['total'].get('USDC', 0))
            
            # Get risk metrics and basic stats
            risk_metrics = self.stats.get_risk_metrics()
            basic_stats = self.stats.get_basic_stats()
            
            # Check if we have enough data for risk calculations
            if basic_stats['completed_trades'] < 2:
                await update.message.reply_text(
                    "📊 <b>Risk Analysis</b>\n\n"
                    "📭 <b>Insufficient Data</b>\n\n"
                    f"• Current completed trades: {basic_stats['completed_trades']}\n"
                    f"• Required for risk analysis: 2+ trades\n"
                    f"• Daily balance snapshots: {len(self.stats.data.get('daily_balances', []))}\n\n"
                    "💡 <b>To enable risk analysis:</b>\n"
                    "• Complete more trades to generate returns data\n"
                    "• Bot automatically records daily balance snapshots\n"
                    "• Risk metrics will be available after sufficient trading history\n\n"
                    "📈 Use /stats for current performance metrics",
                    parse_mode='HTML'
                )
                return
            
            # Format the risk analysis message
            risk_text = f"""
📊 <b>Risk Analysis & Advanced Metrics</b>

🎯 <b>Risk-Adjusted Performance:</b>
• Sharpe Ratio: {risk_metrics['sharpe_ratio']:.3f}
• Sortino Ratio: {risk_metrics['sortino_ratio']:.3f}
• Annual Volatility: {risk_metrics['volatility']:.2f}%

📉 <b>Drawdown Analysis:</b>
• Maximum Drawdown: {risk_metrics['max_drawdown']:.2f}%
• Value at Risk (95%): {risk_metrics['var_95']:.2f}%

💰 <b>Portfolio Context:</b>
• Current Balance: ${current_balance:,.2f}
• Initial Balance: ${basic_stats['initial_balance']:,.2f}
• Total P&L: ${basic_stats['total_pnl']:,.2f}
• Days Active: {basic_stats['days_active']}

📊 <b>Risk Interpretation:</b>
"""
            
            # Add interpretive guidance
            sharpe = risk_metrics['sharpe_ratio']
            if sharpe > 2.0:
                risk_text += "• 🟢 <b>Excellent</b> risk-adjusted returns (Sharpe > 2.0)\n"
            elif sharpe > 1.0:
                risk_text += "• 🟡 <b>Good</b> risk-adjusted returns (Sharpe > 1.0)\n"
            elif sharpe > 0.5:
                risk_text += "• 🟠 <b>Moderate</b> risk-adjusted returns (Sharpe > 0.5)\n"
            elif sharpe > 0:
                risk_text += "• 🔴 <b>Poor</b> risk-adjusted returns (Sharpe > 0)\n"
            else:
                risk_text += "• ⚫ <b>Negative</b> risk-adjusted returns (Sharpe < 0)\n"
            
            max_dd = risk_metrics['max_drawdown']
            if max_dd < 5:
                risk_text += "• 🟢 <b>Low</b> maximum drawdown (< 5%)\n"
            elif max_dd < 15:
                risk_text += "• 🟡 <b>Moderate</b> maximum drawdown (< 15%)\n"
            elif max_dd < 30:
                risk_text += "• 🟠 <b>High</b> maximum drawdown (< 30%)\n"
            else:
                risk_text += "• 🔴 <b>Very High</b> maximum drawdown (> 30%)\n"
            
            volatility = risk_metrics['volatility']
            if volatility < 10:
                risk_text += "• 🟢 <b>Low</b> portfolio volatility (< 10%)\n"
            elif volatility < 25:
                risk_text += "• 🟡 <b>Moderate</b> portfolio volatility (< 25%)\n"
            elif volatility < 50:
                risk_text += "• 🟠 <b>High</b> portfolio volatility (< 50%)\n"
            else:
                risk_text += "• 🔴 <b>Very High</b> portfolio volatility (> 50%)\n"
            
            risk_text += f"""
💡 <b>Risk Definitions:</b>
• <b>Sharpe Ratio:</b> Risk-adjusted return (excess return / volatility)
• <b>Sortino Ratio:</b> Return / downside volatility (focuses on bad volatility)
• <b>Max Drawdown:</b> Largest peak-to-trough decline
• <b>VaR 95%:</b> Maximum expected loss 95% of the time
• <b>Volatility:</b> Annualized standard deviation of returns

📈 <b>Data Based On:</b>
• Completed Trades: {basic_stats['completed_trades']}
• Daily Balance Records: {len(self.stats.data.get('daily_balances', []))}
• Trading Period: {basic_stats['days_active']} days

🔄 Use /stats for trading performance metrics
            """
            
            await update.message.reply_text(risk_text.strip(), parse_mode='HTML')
            
        except Exception as e:
            error_message = f"❌ Error processing risk command: {str(e)}"
            await update.message.reply_text(error_message)
            logger.error(f"Error in risk command: {e}")
    
    async def version_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /version command to show bot version and system info."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        try:
            # Get system info
            import platform
            import sys
            from datetime import datetime
            
            uptime_info = "Unknown"
            try:
                # Try to get process uptime if available
                import psutil
                process = psutil.Process()
                create_time = datetime.fromtimestamp(process.create_time())
                uptime = datetime.now() - create_time
                days = uptime.days
                hours, remainder = divmod(uptime.seconds, 3600)
                minutes, _ = divmod(remainder, 60)
                uptime_info = f"{days}d {hours}h {minutes}m"
            except ImportError:
                # psutil not available, skip uptime
                pass
            
            # Get stats info
            basic_stats = self.stats.get_basic_stats()
            
            # Safety checks for monitoring attributes
            order_monitoring_task = getattr(self, 'order_monitoring_task', None)
            alarms = getattr(self, 'alarms', [])
            
            version_text = f"""
🤖 <b>Trading Bot Version & System Info</b>

📱 <b>Bot Information:</b>
• Version: <code>{self.version}</code>
• Network: {'Testnet' if Config.HYPERLIQUID_TESTNET else 'Mainnet'}
• Uptime: {uptime_info}
• Default Token: {Config.DEFAULT_TRADING_TOKEN}

💻 <b>System Information:</b>
• Python: {sys.version.split()[0]}
• Platform: {platform.system()} {platform.release()}
• Architecture: {platform.machine()}

📊 <b>Trading Stats:</b>
• Total Orders: {basic_stats['total_trades']}
• Completed Trades: {basic_stats['completed_trades']}
• Days Active: {basic_stats['days_active']}
• Start Date: {basic_stats['start_date']}

🔄 <b>Monitoring Status:</b>
• Order Monitoring: {'✅ Active' if order_monitoring_task and not order_monitoring_task.done() else '❌ Inactive'}
• External Trades: ✅ Active
• Price Alarms: ✅ Active ({len(alarms)} active)
• Risk Management: {'✅ Enabled' if Config.RISK_MANAGEMENT_ENABLED else '❌ Disabled'}

⏰ <b>Current Time:</b> {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
            """
            
            await update.message.reply_text(version_text.strip(), parse_mode='HTML')
            
        except Exception as e:
            error_message = f"❌ Error processing version command: {str(e)}"
            await update.message.reply_text(error_message)
            logger.error(f"Error in version command: {e}")
    
    async def balance_adjustments_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /balance_adjustments command to show deposit/withdrawal history."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        try:
            # Get balance adjustments summary
            adjustments_summary = self.stats.get_balance_adjustments_summary()
            
            # Get detailed adjustments
            all_adjustments = self.stats.data.get('balance_adjustments', [])
            
            if not all_adjustments:
                await update.message.reply_text(
                    "💰 <b>Balance Adjustments</b>\n\n"
                    "📭 No deposits or withdrawals detected yet.\n\n"
                    "💡 The bot automatically monitors for deposits and withdrawals\n"
                    "every hour to maintain accurate P&L calculations.",
                    parse_mode='HTML'
                )
                return
            
            # Format the message
            adjustments_text = f"""
💰 <b>Balance Adjustments History</b>

📊 <b>Summary:</b>
• Total Deposits: ${adjustments_summary['total_deposits']:,.2f}
• Total Withdrawals: ${adjustments_summary['total_withdrawals']:,.2f}
• Net Adjustment: ${adjustments_summary['net_adjustment']:,.2f}
• Total Transactions: {adjustments_summary['adjustment_count']}

📅 <b>Recent Adjustments:</b>
"""
            
            # Show last 10 adjustments
            recent_adjustments = sorted(all_adjustments, key=lambda x: x['timestamp'], reverse=True)[:10]
            
            for adj in recent_adjustments:
                try:
                    # Format timestamp
                    adj_time = datetime.fromisoformat(adj['timestamp']).strftime('%m/%d %H:%M')
                    
                    # Format type and amount
                    if adj['type'] == 'deposit':
                        emoji = "💰"
                        amount_str = f"+${adj['amount']:,.2f}"
                    else:  # withdrawal
                        emoji = "💸"
                        amount_str = f"-${abs(adj['amount']):,.2f}"
                    
                    adjustments_text += f"• {emoji} {adj_time}: {amount_str}\n"
                    
                except Exception as adj_error:
                    logger.warning(f"Error formatting adjustment: {adj_error}")
                    continue
            
            adjustments_text += f"""

💡 <b>How it Works:</b>
• Bot checks for deposits/withdrawals every hour
• Adjustments maintain accurate P&L calculations
• Non-trading balance changes don't affect performance metrics
• Trading statistics remain pure and accurate

⏰ <b>Last Check:</b> {adjustments_summary['last_adjustment'][:16] if adjustments_summary['last_adjustment'] else 'Never'}
            """
            
            await update.message.reply_text(adjustments_text.strip(), parse_mode='HTML')
            
        except Exception as e:
            error_message = f"❌ Error processing balance adjustments command: {str(e)}"
            await update.message.reply_text(error_message)
            logger.error(f"Error in balance_adjustments command: {e}")

    def _get_position_state(self, symbol: str) -> Dict[str, Any]:
        """Get current position state for a symbol."""
        if symbol not in self.position_tracker:
            self.position_tracker[symbol] = {
                'contracts': 0.0,
                'avg_entry_price': 0.0,
                'total_cost_basis': 0.0,
                'entry_count': 0,
                'entry_history': [],  # List of {price, amount, timestamp}
                'last_update': datetime.now().isoformat()
            }
        return self.position_tracker[symbol]
    
    def _update_position_state(self, symbol: str, side: str, amount: float, price: float, timestamp: str = None):
        """Update position state with a new trade."""
        if timestamp is None:
            timestamp = datetime.now().isoformat()
            
        position = self._get_position_state(symbol)
        
        if side.lower() == 'buy':
            # Adding to long position or reducing short position
            if position['contracts'] >= 0:
                # Opening/adding to long position
                new_cost = amount * price
                old_cost = position['total_cost_basis']
                old_contracts = position['contracts']
                
                position['contracts'] += amount
                position['total_cost_basis'] += new_cost
                position['avg_entry_price'] = position['total_cost_basis'] / position['contracts'] if position['contracts'] > 0 else 0
                position['entry_count'] += 1
                position['entry_history'].append({
                    'price': price,
                    'amount': amount,
                    'timestamp': timestamp,
                    'side': 'buy'
                })
                
                logger.info(f"📈 Position updated: {symbol} LONG {position['contracts']:.6f} @ avg ${position['avg_entry_price']:.2f}")
                return 'long_opened' if old_contracts == 0 else 'long_increased'
            else:
                # Reducing short position
                reduction = min(amount, abs(position['contracts']))
                position['contracts'] += reduction
                
                if position['contracts'] >= 0:
                    # Short position fully closed or flipped to long
                    if position['contracts'] == 0:
                        self._reset_position_state(symbol)
                        return 'short_closed'
                    else:
                        # Flipped to long - need to track new long position
                        remaining_amount = amount - reduction
                        position['contracts'] = remaining_amount
                        position['total_cost_basis'] = remaining_amount * price
                        position['avg_entry_price'] = price
                        return 'short_closed_and_long_opened'
                else:
                    return 'short_reduced'
        
        elif side.lower() == 'sell':
            # Adding to short position or reducing long position
            if position['contracts'] <= 0:
                # Opening/adding to short position
                position['contracts'] -= amount
                position['entry_count'] += 1
                position['entry_history'].append({
                    'price': price,
                    'amount': amount,
                    'timestamp': timestamp,
                    'side': 'sell'
                })
                
                logger.info(f"📉 Position updated: {symbol} SHORT {abs(position['contracts']):.6f} @ ${price:.2f}")
                return 'short_opened' if position['contracts'] == -amount else 'short_increased'
            else:
                # Reducing long position
                reduction = min(amount, position['contracts'])
                position['contracts'] -= reduction
                
                # Adjust cost basis proportionally
                if position['contracts'] > 0:
                    reduction_ratio = reduction / (position['contracts'] + reduction)
                    position['total_cost_basis'] *= (1 - reduction_ratio)
                    return 'long_reduced'
                else:
                    # Long position fully closed
                    if position['contracts'] == 0:
                        self._reset_position_state(symbol)
                        return 'long_closed'
                    else:
                        # Flipped to short
                        remaining_amount = amount - reduction
                        position['contracts'] = -remaining_amount
                        return 'long_closed_and_short_opened'
        
        position['last_update'] = timestamp
        return 'unknown'
    
    def _reset_position_state(self, symbol: str):
        """Reset position state when position is fully closed."""
        if symbol in self.position_tracker:
            del self.position_tracker[symbol]
    
    def _calculate_position_pnl(self, symbol: str, exit_amount: float, exit_price: float) -> Dict[str, float]:
        """Calculate P&L for a position exit."""
        position = self._get_position_state(symbol)
        
        if position['contracts'] == 0:
            return {'pnl': 0.0, 'pnl_percent': 0.0}
        
        avg_entry = position['avg_entry_price']
        
        if position['contracts'] > 0:  # Long position
            pnl = exit_amount * (exit_price - avg_entry)
        else:  # Short position
            pnl = exit_amount * (avg_entry - exit_price)
        
        cost_basis = exit_amount * avg_entry
        pnl_percent = (pnl / cost_basis * 100) if cost_basis > 0 else 0
        
        return {
            'pnl': pnl,
            'pnl_percent': pnl_percent,
            'avg_entry_price': avg_entry
        }

    async def _send_external_trade_notification(self, trade: Dict[str, Any]):
        """Send generic notification for external trades (fallback)."""
        try:
            symbol = trade.get('symbol', '')
            side = trade.get('side', '')
            amount = float(trade.get('amount', 0))
            price = float(trade.get('price', 0))
            timestamp = trade.get('timestamp', '')
            
            # Extract token from symbol
            token = symbol.split('/')[0] if '/' in symbol else symbol
            
            # Format timestamp
            try:
                trade_time = datetime.fromisoformat(timestamp.replace('Z', '+00:00'))
                time_str = trade_time.strftime('%H:%M:%S')
            except:
                time_str = "Unknown"
            
            # Determine trade type and emoji
            side_emoji = "🟢" if side.lower() == 'buy' else "🔴"
            trade_value = amount * price
            
            message = f"""
🔄 <b>External Trade Detected</b>

📊 <b>Trade Details:</b>
• Token: {token}
• Side: {side.upper()}
• Amount: {amount} {token}
• Price: ${price:,.2f}
• Value: ${trade_value:,.2f}

{side_emoji} <b>Source:</b> External Platform Trade
⏰ <b>Time:</b> {time_str}

📈 <b>Note:</b> This trade was executed outside the Telegram bot
📊 Stats have been automatically updated
            """
            
            await self.send_message(message.strip())
            logger.info(f"📢 Sent generic external trade notification: {side} {amount} {token}")
            
        except Exception as e:
            logger.error(f"❌ Error sending external trade notification: {e}")

    async def _check_stop_losses(self, current_positions: list):
        """Check all positions for stop loss triggers and execute automatic exits."""
        try:
            if not current_positions:
                return
            
            stop_loss_triggers = []
            
            for position in current_positions:
                symbol = position.get('symbol')
                contracts = float(position.get('contracts', 0))
                entry_price = float(position.get('entryPx', 0))
                
                if not symbol or contracts == 0 or entry_price == 0:
                    continue
                
                # Get current market price
                market_data = self.client.get_market_data(symbol)
                if not market_data or not market_data.get('ticker'):
                    continue
                
                current_price = float(market_data['ticker'].get('last', 0))
                if current_price == 0:
                    continue
                
                # Calculate current P&L percentage
                if contracts > 0:  # Long position
                    pnl_percent = ((current_price - entry_price) / entry_price) * 100
                else:  # Short position
                    pnl_percent = ((entry_price - current_price) / entry_price) * 100
                
                # Check if stop loss should trigger
                if pnl_percent <= -Config.STOP_LOSS_PERCENTAGE:
                    token = symbol.split('/')[0] if '/' in symbol else symbol
                    stop_loss_triggers.append({
                        'symbol': symbol,
                        'token': token,
                        'contracts': contracts,
                        'entry_price': entry_price,
                        'current_price': current_price,
                        'pnl_percent': pnl_percent
                    })
            
            # Execute stop losses
            for trigger in stop_loss_triggers:
                await self._execute_automatic_stop_loss(trigger)
                
        except Exception as e:
            logger.error(f"❌ Error checking stop losses: {e}")

    async def _execute_automatic_stop_loss(self, trigger: Dict[str, Any]):
        """Execute an automatic stop loss order."""
        try:
            symbol = trigger['symbol']
            token = trigger['token']
            contracts = trigger['contracts']
            entry_price = trigger['entry_price']
            current_price = trigger['current_price']
            pnl_percent = trigger['pnl_percent']
            
            # Determine the exit side (opposite of position)
            exit_side = 'sell' if contracts > 0 else 'buy'
            contracts_abs = abs(contracts)
            
            # Send notification before executing
            await self._send_stop_loss_notification(trigger, "triggered")
            
            # Execute the stop loss order (market order for immediate execution)
            try:
                if exit_side == 'sell':
                    order = self.client.create_market_sell_order(symbol, contracts_abs)
                else:
                    order = self.client.create_market_buy_order(symbol, contracts_abs)
                
                if order:
                    logger.info(f"🛑 Stop loss executed: {token} {exit_side} {contracts_abs} @ ${current_price}")
                    
                    # Record the trade in stats and update position tracking
                    action_type = self.stats.record_trade_with_enhanced_tracking(symbol, exit_side, contracts_abs, current_price, order.get('id', 'stop_loss'), "auto_stop_loss")
                    
                    # Send success notification
                    await self._send_stop_loss_notification(trigger, "executed", order)
                else:
                    logger.error(f"❌ Stop loss order failed for {token}")
                    await self._send_stop_loss_notification(trigger, "failed")
                    
            except Exception as order_error:
                logger.error(f"❌ Stop loss order execution failed for {token}: {order_error}")
                await self._send_stop_loss_notification(trigger, "failed", error=str(order_error))
                
        except Exception as e:
            logger.error(f"❌ Error executing automatic stop loss: {e}")

    async def _send_stop_loss_notification(self, trigger: Dict[str, Any], status: str, order: Dict = None, error: str = None):
        """Send notification for stop loss events."""
        try:
            token = trigger['token']
            contracts = trigger['contracts']
            entry_price = trigger['entry_price']
            current_price = trigger['current_price']
            pnl_percent = trigger['pnl_percent']
            
            position_type = "LONG" if contracts > 0 else "SHORT"
            contracts_abs = abs(contracts)
            
            if status == "triggered":
                title = "🛑 Stop Loss Triggered"
                status_text = f"Stop loss triggered at {Config.STOP_LOSS_PERCENTAGE}% loss"
                emoji = "🚨"
            elif status == "executed":
                title = "✅ Stop Loss Executed"
                status_text = "Position closed automatically"
                emoji = "🛑"
            elif status == "failed":
                title = "❌ Stop Loss Failed"
                status_text = f"Stop loss execution failed{': ' + error if error else ''}"
                emoji = "⚠️"
            else:
                return
            
            # Calculate loss
            loss_value = contracts_abs * abs(current_price - entry_price)
            
            message = f"""
{title}

{emoji} <b>Risk Management Alert</b>

📊 <b>Position Details:</b>
• Token: {token}
• Direction: {position_type}
• Size: {contracts_abs} contracts
• Entry Price: ${entry_price:,.2f}
• Current Price: ${current_price:,.2f}

🔴 <b>Loss Details:</b>
• Loss: ${loss_value:,.2f} ({pnl_percent:.2f}%)
• Stop Loss Threshold: {Config.STOP_LOSS_PERCENTAGE}%

📋 <b>Action:</b> {status_text}
⏰ <b>Time:</b> {datetime.now().strftime('%H:%M:%S')}
            """
            
            if order and status == "executed":
                order_id = order.get('id', 'N/A')
                message += f"\n🆔 <b>Order ID:</b> {order_id}"
            
            await self.send_message(message.strip())
            logger.info(f"📢 Sent stop loss notification: {token} {status}")
            
        except Exception as e:
            logger.error(f"❌ Error sending stop loss notification: {e}")

    async def _process_filled_orders(self, filled_order_ids: set, current_positions: list):
        """Process filled orders using enhanced position tracking."""
        try:
            # For bot-initiated orders, we'll detect changes in position size
            # and send appropriate notifications using the enhanced system
            
            # This method will be triggered when orders placed through the bot are filled
            # The external trade monitoring will handle trades made outside the bot
            
            # Update position tracking based on current positions
            await self._update_position_tracking(current_positions)
                
        except Exception as e:
            logger.error(f"❌ Error processing filled orders: {e}")
    
    async def _update_position_tracking(self, current_positions: list):
        """Update the legacy position tracking data for compatibility."""
        new_position_map = {}
        
        for position in current_positions:
            symbol = position.get('symbol')
            contracts = float(position.get('contracts', 0))
            entry_price = float(position.get('entryPx', 0))
            
            if symbol and contracts != 0:
                new_position_map[symbol] = {
                    'contracts': contracts,
                    'entry_price': entry_price
                }
                
                # Also update our enhanced position tracker if not already present
                if symbol not in self.position_tracker:
                    self._get_position_state(symbol)
                    self.position_tracker[symbol]['contracts'] = contracts
                    self.position_tracker[symbol]['avg_entry_price'] = entry_price
                    self.position_tracker[symbol]['total_cost_basis'] = contracts * entry_price
        
        self.last_known_positions = new_position_map

    async def keyboard_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle the /keyboard command to enable/show custom keyboard."""
        if not self.is_authorized(update.effective_chat.id):
            await update.message.reply_text("❌ Unauthorized access.")
            return
        
        custom_keyboard = self._create_custom_keyboard()
        
        if custom_keyboard:
            await update.message.reply_text(
                "⌨️ <b>Custom Keyboard Activated!</b>\n\n"
                "🎯 <b>Your quick buttons are now ready:</b>\n"
                "• Daily - Daily performance\n"
                "• Performance - Performance stats\n"
                "• Balance - Account balance\n"
                "• Stats - Trading statistics\n"
                "• Positions - Open positions\n"
                "• Orders - Active orders\n"
                "• Price - Quick price check\n"
                "• Market - Market overview\n"
                "• Help - Help guide\n"
                "• Commands - Command menu\n\n"
                "💡 <b>How to use:</b>\n"
                "Tap any button below instead of typing the command manually!\n\n"
                "🔧 These buttons will stay at the bottom of your chat.",
                parse_mode='HTML',
                reply_markup=custom_keyboard
            )
        else:
            await update.message.reply_text(
                "❌ <b>Custom Keyboard Disabled</b>\n\n"
                "🔧 <b>To enable:</b>\n"
                "• Set TELEGRAM_CUSTOM_KEYBOARD_ENABLED=true in your .env file\n"
                "• Restart the bot\n"
                "• Run /keyboard again\n\n"
                f"📋 <b>Current config:</b>\n"
                f"• Enabled: {Config.TELEGRAM_CUSTOM_KEYBOARD_ENABLED}\n"
                f"• Layout: {Config.TELEGRAM_CUSTOM_KEYBOARD_LAYOUT}",
                parse_mode='HTML'
            )

    async def handle_keyboard_message(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
        """Handle messages from custom keyboard buttons (without /)."""
        if not self.is_authorized(update.effective_chat.id):
            return
        
        message_text = update.message.text.lower()
        
        # Map clean button text to command handlers
        command_handlers = {
            'daily': self.daily_command,
            'performance': self.performance_command,
            'balance': self.balance_command,
            'stats': self.stats_command,
            'positions': self.positions_command,
            'orders': self.orders_command,
            'price': self.price_command,
            'market': self.market_command,
            'help': self.help_command,
            'commands': self.commands_command
        }
        
        # Execute the corresponding command handler
        if message_text in command_handlers:
            await command_handlers[message_text](update, context)


async def main_async():
    """Async main entry point for the Telegram bot."""
    try:
        # Validate configuration
        if not Config.validate():
            logger.error("❌ Configuration validation failed!")
            return
        
        if not Config.TELEGRAM_ENABLED:
            logger.error("❌ Telegram is not enabled in configuration")
            return
        
        # Create and run the bot
        bot = TelegramTradingBot()
        await bot.run()
        
    except KeyboardInterrupt:
        logger.info("👋 Bot stopped by user")
    except Exception as e:
        logger.error(f"❌ Unexpected error: {e}")
        raise


def main():
    """Main entry point for the Telegram bot."""
    try:
        # Check if we're already in an asyncio context
        try:
            loop = asyncio.get_running_loop()
            # If we get here, we're already in an asyncio context
            logger.error("❌ Cannot run main() from within an asyncio context. Use main_async() instead.")
            return
        except RuntimeError:
            # No running loop, safe to use asyncio.run()
            pass
        
        # Run the async main function
        asyncio.run(main_async())
        
    except Exception as e:
        logger.error(f"❌ Failed to start telegram bot: {e}")
        raise


if __name__ == "__main__":
    main()