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Strategy Name Golden Cross
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The Golden Cross strategy is based on crossing two moving averages, one that is shorter-term (usually the 50-day moving average) and one that is longer-term (usually the 200-day moving average). When the shorter-term moving average crosses above the longer-term moving average, it is seen as a bullish signal, indicating that the asset's price is likely to rise. In this backtest, we set Stop Loss and Trailing Stop Loss to 5 and Take Profit to 20 multiplies of the 14-day ATR indicator value and used the S&P 500 index components as a stock universe.
Type of Positions Long
 Position Opening 
Criteria for Opening a Position: index(sp500) and (sma(50) ca sma(200))
Prioritize Stocks by [?] Highest Capitalization
Order Execution Model: Close Prices
 Backtest Parameters 
Initial Capital: $100,000
Capital at Risk: 10% per trade
Portfolio Max Size: 10 positions
Comm. per Trade: $0.00  
Avg Bid-Ask Spread: 0.02%  
Stop Loss: 5 atr 
Trailing Stop Loss: 5 atr 
Take Profit: 20 atr 
Period: 1/1/2026 - 12/31/2026
The backtester displays results for the current year only. Please sign up to view the full report.
 Results 
Total Profit: $10,487   Total Trades: 24  
Capital Growth:10.5%   Profit Trades, % of Total:63%  
Profit Factor: [?] 2.86  Avg Trade Duration, days:23.9  
Payoff Ratio: [?] 1.72   Avg Profit per Trade:4.39%  
Max Drawdown:3%   Avg Profit per Day:0.18%  
Max Drawdown, $: 3,278   Avg Market Impact: [?]
Minor  
 
Restoration Factor: [?] 3.20   Overall Viability Score: [?]
10 / 10
 
Avg Annual Return: 10.5%   CAGR: [?]10.5%  
 Equity Graph 
 Performance 
Year S&P 500 Equity JanFeb MarAprMay JunJulAug SepOctNov Dec
2026 -3.84 10.49 1.99 9.01 -1.30 0.69
        
Performed Trades  
 Symbol Entry Date
Entry
Price, $
Exit Date
Exit
Price, $
Shares Profit, $  Exit On
Stop
Loss, $
Take
Profit, $
 MI [?]
 DELL 03/26/2026 175.15 04/02/2026 174.37 58 -47.26  Period End 134.90 337.98  Minor 
 DLR 03/09/2026 178.44 04/02/2026 181.69 57 183.18  Period End 159.72 271.34  Minor 
 TT 03/06/2026 423.13 04/02/2026 427.07 24 92.51  Period End 374.52 675.13  Minor 
 EOG 03/05/2026 131.03 04/02/2026 142.64 77 891.77  Period End 133.67 203.84  Minor 
 IRM 03/05/2026 106.43 04/02/2026 103.30 95 -299.31  Period End 91.70 176.39  Minor 
 COST 03/04/2026 1,006.74 04/02/2026 1,014.96 9 72.15  Period End 920.23 1,389.84  Minor 
 DTE 02/26/2026 145.45 04/02/2026 148.04 68 174.11  Period End 136.28 203.08  Minor 
 HON 02/03/2026 229.77 03/20/2026 226.26 40 -142.35  Stop Loss 226.26 317.46  Minor 
 BALL 01/29/2026 56.40 03/05/2026 62.95 174 1,136.67  Stop Loss 62.95 76.98  Minor 
 AOS 01/29/2026 72.81 03/04/2026 73.07 135 32.81  Stop Loss 73.07 107.98  Minor 
 DE 01/29/2026 528.52 02/26/2026 612.91 18 1,516.79  Stop Loss 612.91 765.77  Minor 
 UNH 01/26/2026 348.93 01/27/2026 291.70 29 -1,661.36  Stop Loss 306.12 520.17  Minor 
 ELV 01/23/2026 368.79 01/27/2026 332.66 26 -940.99  Stop Loss 332.66 542.61  Minor 
 SPGI 01/20/2026 517.84 02/03/2026 491.48 18 -476.33  Stop Loss 491.48 713.06  Minor 
 TGT 01/14/2026 108.71 04/02/2026 120.45 91 1,066.15  Period End 111.01 168.65  Minor 
 ITW 01/14/2026 257.26 03/05/2026 280.49 38 880.68  Stop Loss 280.49 340.29  Minor 
 ECL 01/13/2026 272.81 03/05/2026 285.64 36 459.82  Stop Loss 285.64 364.01  Minor 
 KMI 01/12/2026 26.66 04/02/2026 32.97 375 2,363.78  Period End 32.14 37.02  Minor 
 VRTX 01/07/2026 484.15 01/20/2026 434.84 20 -987.89  Stop Loss 434.84 687.54  Minor 
 COP 01/06/2026 95.63 04/02/2026 130.52 104 3,625.85  Period End 123.24 146.15  Minor 
 MRNA 01/06/2026 35.66 01/26/2026 46.69 280 3,085.36  Stop Loss 46.69 69.71  Minor 
 TSN 01/02/2026 57.57 03/09/2026 60.74 173 546.31  Stop Loss 60.92 77.39  Minor 
 BRK-B 01/02/2026 496.85 01/28/2026 473.01 20 -478.69  Stop Loss 473.13 620.65  Minor 
 APO 01/02/2026 146.01 01/23/2026 137.12 68 -606.63  Stop Loss 137.12 208.22  Minor 
24 trades

Backtesting Results Disclaimer
Past hypothetical backtest results are neither an indicator nor a guarantee of future returns. Actual results may vary from the analysis. Hypothetical performance results have many inherent limitations and cannot fully account for market factors such as bid-ask spread, slippage, and commission costs. There are numerous other factors related to the markets, which cannot be fully accounted for in the backtesting algorithm, but all of which can adversely affect actual trading results.



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