from database.backtest import backtest_results from database.procedures import backtest_profit, most_recent_trade_date from database.trades import trades symbol = 'SPX' fees_and_commissions = 3.19 # IBKR fees and commissions for a single spread trade. trade_date = most_recent_trade_date() print(f'# {trade_date.strftime("%B %d, %Y")}\n') trade_data = trades(trade_date) strategy = trade_data['Strategy'].iloc[0] traded_entry_times = set() trade_info = {} backtest_info = {} for _, trade in trade_data.iterrows(): entry_time = str(trade['Entry Time'])[-8:] traded_entry_times.add(entry_time) spreads = trade['Spreads'] for spread in spreads: spread_type = 'CALL' if spread['Legs'][0]['Type'] == 'CALL' else 'PUT' short_strike = int(spread['Legs'][0]['Strike']) long_strike = int(spread['Legs'][1]['Strike']) open_price = round(spread['Open'], 2) close_price = round(spread['Close'], 2) if 'Close' in spread else 0.0 entry_slippage = spread['Entry Slippage'] exit_slippage = spread['Exit Slippage'] if 'Exit Slippage' in spread else None trade_info[(entry_time, spread_type)] = (short_strike, long_strike, open_price, close_price, entry_slippage, exit_slippage) backtest_data = backtest_results(symbol, strategy, trade_date) for _, backtest in backtest_data.iterrows(): entry_time = str(backtest['Entry Time'])[-8:] if entry_time in traded_entry_times: spreads = backtest['Spreads'] for spread in spreads: spread_type = 'CALL' if spread['Legs'][0]['Type'] == 'CALL' else 'PUT' short_strike = int(spread['Legs'][0]['Strike']) long_strike = int(spread['Legs'][1]['Strike']) open_price = round(spread['Open'], 2) close_price = round(spread['Close'], 2) backtest_info[(entry_time, spread_type)] = (short_strike, long_strike, open_price, close_price) trade_profits = [100 * (info[2] - info[3]) - fees_and_commissions for info in trade_info.values()] stopped_out_spreads = sum(1 for info in trade_info.values() if info[5] is not None) profit = sum(trade_profits) - (stopped_out_spreads * fees_and_commissions) print(f'**Profit**: {round(profit, 2)}') profit_backtest = backtest_profit(trade_date) print(f'**Backtest Profit**: {round(profit_backtest, 2)}') print(f'**Difference**: {round(profit - profit_backtest, 2)}\n') open_differences = [backtest_info[key][2] - trade_info[key][2] for key in trade_info] average_open_difference = sum(open_differences) / len(open_differences) if open_differences else 0 print(f'**Average Open Difference**: {round(average_open_difference, 2)}') entry_slippages = [trade_info[key][4] for key in trade_info] average_entry_slippage = sum(entry_slippages) / len(entry_slippages) print(f'**Average Entry Slippage**: {round(average_entry_slippage, 2)}') exit_slippages = [trade_info[key][5] for key in trade_info if trade_info[key][5] is not None] if exit_slippages: average_exit_slippage = sum(exit_slippages) / len(exit_slippages) print(f'**Average Exit Slippage**: {round(average_exit_slippage, 2)}') print() print('| Entry Time | Spread Type | Live Trading Result | Backtest Result |') print('|------------|-------------|---------------------|-----------------|') for entry_time in sorted(traded_entry_times): for option_type in ['CALL', 'PUT']: live_trade = trade_info.get((entry_time, option_type)) live_trade_result = f'Short Strike: {live_trade[0]}
Long Strike: {live_trade[1]}
Open Price: {live_trade[2]:.2f}
Close Price: {live_trade[3]:.2f}' backtest_trade = backtest_info.get((entry_time, option_type)) backtest_trade_result = f'Short Strike: {backtest_trade[0]}
Long Strike: {backtest_trade[1]}
Open Price: {backtest_trade[2]:.2f}
Close Price: {backtest_trade[3]:.2f}' print(f"| {entry_time} | {option_type} | {live_trade_result} | {backtest_trade_result} |") print('\n---')