diff --git a/data/leaderboard.json b/data/leaderboard.json
index 0dc11ab..6e7632a 100644
--- a/data/leaderboard.json
+++ b/data/leaderboard.json
@@ -4,301 +4,361 @@
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+            "author_name": "Mahak",
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+            "description": "This strategy aims to provide a robust, adaptive approach that can perform well across different market conditions while managing risk effectively.",
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         {
             "author_name": "Jim",
             "strategy_name": "Price Momentum",
             "description": "Buys when price increases from previous close, sells when it decreases, and holds otherwise.",
-            "last_updated": "2025-05-17T12:39:59.267829Z",
+            "last_updated": "2025-05-18T13:28:48.466491+00:00Z",
             "development_metrics": {
-                "sharpe": 0.276275037377082,
-                "total_return": 0.1333457776009599,
-                "max_drawdown": 1.0,
+                "sharpe": 0.8922038291984906,
+                "total_return": 4.408891741062862,
+                "max_drawdown": 0.9998266375001809,
                 "n_trades": 31140,
                 "win_rate": 0.48477842003853566
             },
             "holdout_metrics": {
-                "sharpe": 0.20767671433807,
-                "total_return": 0.007159277061369984,
-                "max_drawdown": 0.1572180057756682,
+                "sharpe": -0.22522156569994448,
+                "total_return": -0.05695868655450376,
+                "max_drawdown": 0.32383357778748956,
                 "n_trades": 853,
                 "win_rate": 0.47596717467760846
             }
+        },
+        {
+            "author_name": "YOUR_NAME",
+            "strategy_name": "YOUR_STRATEGY_NAME",
+            "description": "DESCRIBE YOUR STRATEGY HERE",
+            "last_updated": "2025-05-18T13:29:24.058039+00:00Z",
+            "development_metrics": {
+                "sharpe": 0.0,
+                "total_return": 0.0,
+                "max_drawdown": 0.0,
+                "n_trades": 0,
+                "win_rate": 0.0
+            },
+            "holdout_metrics": {
+                "sharpe": 0.0,
+                "total_return": 0.0,
+                "max_drawdown": 0.0,
+                "n_trades": 0,
+                "win_rate": 0.0
+            }
         }
     ]
 }
\ No newline at end of file
diff --git a/scripts/update_leaderboard.py b/scripts/update_leaderboard.py
index 67c3e4e..dafbfb4 100644
--- a/scripts/update_leaderboard.py
+++ b/scripts/update_leaderboard.py
@@ -7,7 +7,7 @@
 import argparse
 from pathlib import Path
 import json
-from datetime import datetime
+from datetime import datetime, UTC
 import sys
 
 # Add src to Python path
@@ -26,7 +26,7 @@ def update_leaderboard(strategy_path: str):
         "author_name": strategy.author_name,
         "strategy_name": strategy.strategy_name,
         "description": strategy.description,
-        "last_updated": datetime.utcnow().isoformat() + "Z"
+        "last_updated": datetime.now(UTC).isoformat() + "Z"
     }
     
     # Run backtests
diff --git a/src/core/backtest.py b/src/core/backtest.py
index 9bc7115..6470516 100644
--- a/src/core/backtest.py
+++ b/src/core/backtest.py
@@ -75,15 +75,16 @@ def run_backtest(strategy_class, df: pd.DataFrame, initial_capital: float = 1000
             coins.iloc[i:] = current_coins
         elif exits.iloc[i]:
             # Exit position
+            equity_curve.iloc[i] = current_coins * df['close'].iloc[i]
             current_position = 0
             current_coins = 0
             coins.iloc[i:] = 0
+        else:
+            equity_curve.iloc[i] = equity_curve.iloc[i-1]
         
         # Update equity curve
         if current_position == 1:
             equity_curve.iloc[i] = current_coins * df['close'].iloc[i]
-        else:
-            equity_curve.iloc[i] = equity_curve.iloc[i-1] if i > 0 else initial_capital
     
     # Generate trade records
     trades = []