added live trade actions (wip) and candle chart

crypto/gogo2/main.py

@@ -327,6 +327,12 @@ class TradingEnvironment:
         self.optimal_tops = []
         self.optimal_signals = np.array([])
         
+        # Add these new attributes
+        self.leverage = MAX_LEVERAGE
+        self.futures_symbol = "ETH_USDT"  # Example futures symbol
+        self.position_mode = "hedge"  # For simultaneous long/short positions
+        self.margin_mode = "cross"  # Cross margin mode
+        
     def reset(self):
         """Reset the environment to initial state"""
         self.balance = self.initial_balance
@@ -1482,6 +1488,60 @@ class TradingEnvironment:
             
         return potential_profit
 
+    async def initialize_futures(self, exchange):
+        """Initialize futures trading parameters"""
+        if not self.demo:
+            try:
+                # Set up futures trading parameters
+                await exchange.set_position_mode(True)  # Hedge mode
+                await exchange.set_margin_mode("cross", symbol=self.futures_symbol)
+                await exchange.set_leverage(self.leverage, symbol=self.futures_symbol)
+                logger.info(f"Futures initialized with {self.leverage}x leverage")
+            except Exception as e:
+                logger.error(f"Failed to initialize futures: {e}")
+                raise
+
+    async def execute_real_trade(self, exchange, action, current_price):
+        """Execute real futures trade on MEXC"""
+        try:
+            position_size = self.calculate_position_size()
+            
+            if action == 1:  # Open long
+                order = await exchange.create_order(
+                    symbol=self.futures_symbol,
+                    type='market',
+                    side='buy',
+                    amount=position_size,
+                    params={'positionSide': 'LONG'}
+                )
+                logger.info(f"Opened LONG position: {order}")
+                
+            elif action == 2:  # Open short
+                order = await exchange.create_order(
+                    symbol=self.futures_symbol,
+                    type='market',
+                    side='sell',
+                    amount=position_size,
+                    params={'positionSide': 'SHORT'}
+                )
+                logger.info(f"Opened SHORT position: {order}")
+                
+            elif action == 3:  # Close position
+                position_side = 'LONG' if self.position == 'long' else 'SHORT'
+                order = await exchange.create_order(
+                    symbol=self.futures_symbol,
+                    type='market',
+                    side='sell' if position_side == 'LONG' else 'buy',
+                    amount=self.position_size,
+                    params={'positionSide': position_side}
+                )
+                logger.info(f"Closed {position_side} position: {order}")
+                
+            return order
+        except Exception as e:
+            logger.error(f"Trade execution failed: {e}")
+            return None
+
 # Ensure GPU usage if available
 def get_device():
     """Get the best available device (CUDA GPU or CPU)"""
@@ -1722,21 +1782,35 @@ class Agent:
         return False
 
     def add_chart_to_tensorboard(self, env, global_step):
-        """Add candlestick chart with signals to TensorBoard"""
-        if len(env.data) < 30:  # Need enough data to create a meaningful chart
+        """Add enhanced trading chart to TensorBoard"""
+        if len(env.data) < 10:  # Minimum data to show
             return
             
-        # Create candlestick chart
-        chart_img = create_candlestick_figure(
-            env.data[-100:],  # Last 100 candles
-            env.trade_signals,
-            window_size=100,
-            title=f"Trading Chart (Step {global_step})"
-        )
-        
-        # Add to TensorBoard
-        self.writer.add_image('Trading Chart', np.array(chart_img).transpose(2, 0, 1), global_step)
-        self.chart_step = global_step
+        try:
+            # Create chart with annotations
+            chart_img = create_candlestick_figure(
+                env.data,
+                env.trade_signals,
+                window_size=100,
+                title=f"Trading Chart (Step {global_step})"
+            )
+            
+            # Add to TensorBoard
+            self.writer.add_image('Trading Chart', np.array(chart_img).transpose(2, 0, 1), global_step)
+            self.chart_step = global_step
+            
+            # Also log position information
+            if env.position != 'flat':
+                position_info = {
+                    'position_type': env.position,
+                    'entry_price': env.entry_price,
+                    'position_size': env.position_size,
+                    'unrealized_pnl': env.total_pnl
+                }
+                self.writer.add_text('Position', str(position_info), global_step)
+                
+        except Exception as e:
+            logger.error(f"Error creating chart: {e}")
 
 async def get_live_prices(symbol="ETH/USDT", timeframe="1m"):
     """Get live price data using websockets"""