diff --git a/.Jules/palette.md b/.Jules/palette.md new file mode 100644 index 0000000..e525ae9 --- /dev/null +++ b/.Jules/palette.md @@ -0,0 +1,3 @@ +## 2024-05-22 - CLI Colorization +**Learning:** Adding simple ANSI colors and emojis to a Python CLI script significantly improves readability without needing external libraries like `rich` or `colorama`. +**Action:** For simple scripts, use a lightweight `Colors` class with ANSI codes instead of heavy dependencies to add delight. diff --git a/bitcoin_trading_simulation.py b/bitcoin_trading_simulation.py index e619723..e2b82af 100644 --- a/bitcoin_trading_simulation.py +++ b/bitcoin_trading_simulation.py @@ -1,6 +1,15 @@ import numpy as np import pandas as pd +# ANSI Color Codes for CLI UX +class Colors: + HEADER = '\033[95m' + BLUE = '\033[94m' + GREEN = '\033[92m' + RED = '\033[91m' + ENDC = '\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 +56,12 @@ def simulate_trading(signals, initial_cash=10000): """ portfolio = pd.DataFrame(index=signals.index).fillna(0.0) portfolio['price'] = signals['price'] - portfolio['cash'] = initial_cash + # UX Fix: Explicitly cast to float to prevent 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}------ Daily Trading Ledger ------{Colors.ENDC}") for i, row in signals.iterrows(): if i > 0: portfolio.loc[i, 'cash'] = portfolio.loc[i-1, 'cash'] @@ -62,17 +72,21 @@ 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"Day {i}: {Colors.GREEN}🟢 Buy{Colors.ENDC} {btc_to_buy:.4f} BTC at ${row['price']:.2f}") # 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"Day {i}: {Colors.RED}🔴 Sell{Colors.ENDC} {portfolio.loc[i, 'btc']:.4f} BTC at ${row['price']:.2f}") portfolio.loc[i, 'btc'] = 0 portfolio.loc[i, 'total_value'] = portfolio.loc[i, 'cash'] + portfolio.loc[i, 'btc'] * row['price'] + + # UX Improvement: Only print daily status if something interesting happened or periodically? + # For now, keeping it verbose but formatted. + # Maybe grey out the boring days? Or just keep plain. 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 +113,12 @@ 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}------ Final Portfolio Performance ------{Colors.ENDC}") 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.ENDC}") + print(f"Buy and Hold Strategy Value: ${buy_and_hold_value:.2f}") - print("-----------------------------------------") + print(f"{Colors.HEADER}-----------------------------------------{Colors.ENDC}")