From 4981430c37d515f7f706fd26c0b3a89f8621dfe4 Mon Sep 17 00:00:00 2001
From: "google-labs-jules[bot]"
 <161369871+google-labs-jules[bot]@users.noreply.github.com>
Date: Fri, 16 Jan 2026 13:22:23 +0000
Subject: [PATCH] feat: improve CLI output with colors and emojis
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Content-Type: text/plain; charset=UTF-8
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- Add ANSI color coding for Buy (Green) and Sell (Red) actions.
- Add emojis (🟢, 🔴, 📒, 📊) to improve scanability.
- Fix Pandas FutureWarning by explicitly casting cash columns to float.
- Add .Jules/palette.md with UX learnings.
---
 .Jules/palette.md             |  3 +++
 bitcoin_trading_simulation.py | 29 +++++++++++++++++++++--------
 2 files changed, 24 insertions(+), 8 deletions(-)
 create mode 100644 .Jules/palette.md

diff --git a/.Jules/palette.md b/.Jules/palette.md
new file mode 100644
index 0000000..67a65d0
--- /dev/null
+++ b/.Jules/palette.md
@@ -0,0 +1,3 @@
+## 2024-05-22 - CLI Visual Enhancement
+**Learning:** CLI tools often suffer from "wall of text" syndrome. Simple color coding (Green=Good/Buy, Red=Bad/Sell) dramatically improves scanability.
+**Action:** When working on CLI tools, always check if ANSI colors can be added to highlight key events/metrics.
diff --git a/bitcoin_trading_simulation.py b/bitcoin_trading_simulation.py
index e619723..5daa835 100644
--- a/bitcoin_trading_simulation.py
+++ b/bitcoin_trading_simulation.py
@@ -1,6 +1,13 @@
 import numpy as np
 import pandas as pd
 
+class Colors:
+    HEADER = '\033[95m'
+    GREEN = '\033[92m'
+    RED = '\033[91m'
+    RESET = '\033[0m'
+    BOLD = '\033[1m'
+
 def simulate_bitcoin_prices(days=60, initial_price=50000, volatility=0.02):
     """
     Simulates Bitcoin prices for a given number of days using Geometric Brownian Motion.
@@ -47,11 +54,12 @@ def simulate_trading(signals, initial_cash=10000):
     """
     portfolio = pd.DataFrame(index=signals.index).fillna(0.0)
     portfolio['price'] = signals['price']
-    portfolio['cash'] = initial_cash
+    # Explicitly cast to float to avoid FutureWarning
+    portfolio['cash'] = float(initial_cash)
     portfolio['btc'] = 0.0
-    portfolio['total_value'] = portfolio['cash']
+    portfolio['total_value'] = float(initial_cash)
 
-    print("------ Daily Trading Ledger ------")
+    print(f"{Colors.HEADER}{Colors.BOLD}------ 📒 Daily Trading Ledger ------{Colors.RESET}")
     for i, row in signals.iterrows():
         if i > 0:
             portfolio.loc[i, 'cash'] = portfolio.loc[i-1, 'cash']
@@ -62,17 +70,19 @@ 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}: Buy {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.RESET}")
 
         # 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}: Sell {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.RESET}")
                 portfolio.loc[i, 'btc'] = 0
 
         portfolio.loc[i, 'total_value'] = portfolio.loc[i, 'cash'] + portfolio.loc[i, 'btc'] * row['price']
+
+        # Optional: Gray out normal days? No, let's keep it simple.
         print(f"Day {i}: Portfolio Value: ${portfolio.loc[i, 'total_value']:.2f}, Cash: ${portfolio.loc[i, 'cash']:.2f}, BTC: {portfolio.loc[i, 'btc']:.4f}")
     
     return portfolio
@@ -99,9 +109,12 @@ 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("\n------ Final Portfolio Performance ------")
+    print(f"\n{Colors.HEADER}{Colors.BOLD}------ 📊 Final Portfolio Performance ------{Colors.RESET}")
     print(f"Initial Cash: ${initial_cash:.2f}")
     print(f"Final Portfolio Value: ${final_value:.2f}")
-    print(f"Profit/Loss: ${profit:.2f}")
+
+    profit_color = Colors.GREEN if profit >= 0 else Colors.RED
+    print(f"Profit/Loss: {profit_color}${profit:.2f}{Colors.RESET}")
+
     print(f"Buy and Hold Strategy Value: ${buy_and_hold_value:.2f}")
-    print("-----------------------------------------")
+    print(f"{Colors.HEADER}-----------------------------------------{Colors.RESET}")