diff --git a/.Jules/palette.md b/.Jules/palette.md
index d2bea2d..5de3a38 100644
--- a/.Jules/palette.md
+++ b/.Jules/palette.md
@@ -1,3 +1,3 @@
-## 2026-01-24 - [CLI Visual Hierarchy]
-**Learning:** UX principles like visual hierarchy and semantic coloring apply equally to CLI tools. Using ANSI codes and emojis transforms a wall of text into a scannable dashboard.
-**Action:** For future CLI tools, prioritize a `Colors` class or library early to establish a visual language (Green=Success/Buy, Red=Failure/Sell).
+## 2024-05-22 - Visual Hierarchy in CLI Output
+**Learning:** Adding color-coded indicators (Green/Red) and emojis (💰, 📉) in CLI tools significantly reduces cognitive load when parsing financial data streams. It transforms a wall of text into a scannable narrative.
+**Action:** For data-heavy CLI applications, always implement a semantic color system and visual anchors (icons/emojis) for key events.
diff --git a/bitcoin_trading_simulation.py b/bitcoin_trading_simulation.py
index adfc288..82df43f 100644
--- a/bitcoin_trading_simulation.py
+++ b/bitcoin_trading_simulation.py
@@ -1,13 +1,13 @@
 import numpy as np
 import pandas as pd
 
-# ANSI color codes for visual enhancement
 class Colors:
+    HEADER = '\033[95m'
+    BLUE = '\033[94m'
     GREEN = '\033[92m'
     RED = '\033[91m'
-    PURPLE = '\033[95m'
+    ENDC = '\033[0m'
     BOLD = '\033[1m'
-    RESET = '\033[0m'
 
 def simulate_bitcoin_prices(days=60, initial_price=50000, volatility=0.02):
     """
@@ -57,9 +57,9 @@ def simulate_trading(signals, initial_cash=10000):
     portfolio['price'] = signals['price']
     portfolio['cash'] = float(initial_cash)
     portfolio['btc'] = 0.0
-    portfolio['total_value'] = portfolio['cash']
+    portfolio['total_value'] = float(initial_cash)
 
-    print(f"\n{Colors.PURPLE}{Colors.BOLD}------ Daily Trading Ledger ------{Colors.RESET}")
+    print(f"{Colors.HEADER}{Colors.BOLD}------ Daily Trading Ledger ------{Colors.ENDC}")
     for i, row in signals.iterrows():
         if i > 0:
             portfolio.loc[i, 'cash'] = portfolio.loc[i-1, 'cash']
@@ -70,14 +70,14 @@ def simulate_trading(signals, initial_cash=10000):
             btc_to_buy = portfolio.loc[i, 'cash'] / row['price']
             portfolio.loc[i, 'btc'] += btc_to_buy
             portfolio.loc[i, 'cash'] -= btc_to_buy * row['price']
-            print(f"Day {i}: {Colors.GREEN}📈 [BUY]{Colors.RESET} {btc_to_buy:.4f} BTC at ${row['price']:.2f}")
+            print(f"{Colors.GREEN}Day {i}: 💰 Buy {btc_to_buy:.4f} BTC at ${row['price']:.2f}{Colors.ENDC}")
 
         # Sell signal
         elif row['positions'] == -2.0:
             if portfolio.loc[i, 'btc'] > 0:
                 cash_received = portfolio.loc[i, 'btc'] * row['price']
                 portfolio.loc[i, 'cash'] += cash_received
-                print(f"Day {i}: {Colors.RED}📉 [SELL]{Colors.RESET} {portfolio.loc[i, 'btc']:.4f} BTC at ${row['price']:.2f}")
+                print(f"{Colors.RED}Day {i}: 📉 Sell {portfolio.loc[i, 'btc']:.4f} BTC at ${row['price']:.2f}{Colors.ENDC}")
                 portfolio.loc[i, 'btc'] = 0
 
         portfolio.loc[i, 'total_value'] = portfolio.loc[i, 'cash'] + portfolio.loc[i, 'btc'] * row['price']
@@ -107,15 +107,14 @@ def simulate_trading(signals, initial_cash=10000):
     buy_and_hold_btc = initial_cash / prices.iloc[0]
     buy_and_hold_value = buy_and_hold_btc * prices.iloc[-1]
     
-    print(f"\n{Colors.PURPLE}{Colors.BOLD}------ Final Portfolio Performance ------{Colors.RESET}")
+    print(f"\n{Colors.HEADER}{Colors.BOLD}------ Final Portfolio Performance ------{Colors.ENDC}")
     print(f"Initial Cash: ${initial_cash:.2f}")
     print(f"Final Portfolio Value: ${final_value:.2f}")
 
     if profit >= 0:
-        profit_str = f"{Colors.GREEN}💰 +${profit:.2f}{Colors.RESET}"
+        print(f"Profit/Loss: {Colors.GREEN}📈 ${profit:.2f}{Colors.ENDC}")
     else:
-        profit_str = f"{Colors.RED}📉 -${abs(profit):.2f}{Colors.RESET}"
+        print(f"Profit/Loss: {Colors.RED}📉 ${profit:.2f}{Colors.ENDC}")
 
-    print(f"Profit/Loss: {profit_str}")
     print(f"Buy and Hold Strategy Value: ${buy_and_hold_value:.2f}")
-    print(f"{Colors.PURPLE}-----------------------------------------{Colors.RESET}")
+    print(f"{Colors.HEADER}-----------------------------------------{Colors.ENDC}")