Add footer to orders and price commands for improved user guidance and information. Include last updated timestamp in price command for better context on data freshness.

src/commands/info/orders.py

@@ -67,6 +67,9 @@ class OrdersCommands(InfoCommandsBase):
                     logger.error(f"Error processing order {order.get('symbol', 'unknown')}: {e}")
                     continue
 
+            # Add footer
+            orders_text += "💡 Use /long, /short, /sl, or /tp to create orders"
+
             await self._reply(update, orders_text.strip())
 
         except Exception as e:

src/commands/info/price.py

@@ -4,6 +4,7 @@ from telegram.ext import ContextTypes
 from .base import InfoCommandsBase
 from src.utils.token_display_formatter import get_formatter
 from src.config.config import Config
+from datetime import datetime
 
 logger = logging.getLogger(__name__)
 
@@ -47,8 +48,9 @@ class PriceCommands(InfoCommandsBase):
             current_price = float(ticker.get('last') or 0)
             price_text_parts.append(f"\n📊 <b>Current Price:</b> {await formatter.format_price_with_symbol(current_price, token)}")
 
-            # 24h change
-            change_24h = float(ticker.get('percentage') or 0)
+            # 24h change - calculated manually for reliability
+            prev_close = float(ticker.get('previousClose') or 0)
+            change_24h = ((current_price - prev_close) / prev_close * 100) if prev_close else 0
             change_emoji = "🟢" if change_24h >= 0 else "🔴"
             price_text_parts.append(f"📈 <b>24h Change:</b> {change_emoji} {change_24h:+.2f}%")
 
@@ -60,6 +62,9 @@ class PriceCommands(InfoCommandsBase):
             # Volume
             volume_24h = float(ticker.get('quoteVolume') or 0)
             price_text_parts.append(f"💎 <b>24h Volume:</b> {await formatter.format_price_with_symbol(volume_24h, token)}")
+            
+            # Add footer with fetch time
+            price_text_parts.append(f"\n<i>Last updated: {datetime.now().strftime('%H:%M:%S')}</i>")
 
             final_message = "\n".join(price_text_parts)
             await context.bot.edit_message_text(

src/commands/info/risk.py

@@ -36,10 +36,10 @@ class RiskCommands(InfoCommandsBase):
                 try:
                     # Get position details
                     symbol = position.get('symbol', '')
-                    size = float(position.get('size', 0))
-                    entry_price = float(position.get('entryPrice', 0))
-                    mark_price = float(position.get('markPrice', 0))
-                    liquidation_price = float(position.get('liquidationPrice', 0))
+                    size = float(position.get('size', 0) or 0)
+                    entry_price = float(position.get('entryPrice', 0) or 0)
+                    mark_price = float(position.get('markPrice', 0) or 0)
+                    liquidation_price = float(position.get('liquidationPrice', 0) or 0)
                     
                     if size == 0 or entry_price == 0:
                         continue
@@ -57,7 +57,7 @@ class RiskCommands(InfoCommandsBase):
                     stop_loss_orders = [o for o in orders if o.get('symbol') == symbol and o.get('type') == 'stop']
                     stop_loss_risk = 0
                     if stop_loss_orders:
-                        stop_price = float(stop_loss_orders[0].get('price', 0))
+                        stop_price = float(stop_loss_orders[0].get('price', 0) or 0)
                         if stop_price > 0:
                             stop_loss_risk = abs((stop_price - mark_price) / mark_price * 100)
                     
@@ -77,7 +77,8 @@ class RiskCommands(InfoCommandsBase):
                     continue
             
             # Get portfolio value
-            portfolio_value = float(self.trading_engine.get_portfolio_value())
+            balance_data = self.trading_engine.get_balance()
+            portfolio_value = float(balance_data.get('total', {}).get('USDC', 0) or 0) if balance_data else 0.0
             
             # Calculate portfolio risk metrics
             portfolio_risk = (total_unrealized_pnl / portfolio_value * 100) if portfolio_value > 0 else 0

trading_bot.py

@@ -14,7 +14,7 @@ from datetime import datetime
 from pathlib import Path
 
 # Bot version
-BOT_VERSION = "2.4.236"
+BOT_VERSION = "2.4.237"
 
 # Add src directory to Python path
 sys.path.insert(0, str(Path(__file__).parent / "src"))