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Strategy Name Dogs of the Dow - Low Priced 5
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As you can guess from the name, this strategy completely replicates the '"Dogs of the Dow" strategy but selects only 5 tickers with the lowest price. That is, out of the 10 highest dividend-yielding stocks of the Dow Jones Industrial Average index, we select only the 5 lowest-priced stocks. The strategy requires re-balancing at the beginning of each calendar year.
Type of Positions Long
 Position Opening 
Criteria for Opening a Position: index(dow) and sortby(dvd_yield,desc,10)
Prioritize Stocks by [?] Lowest Price
Order Execution Model: Close Prices
 Backtest Parameters 
Initial Capital: $10,000
Capital at Risk: 20% per trade
Portfolio Max Size: 5 positions
Comm. per Trade: 0.05%  
Avg Bid-Ask Spread: 0.1%  
Close position at the end of: Year
Period: 1/1/2025 - 12/31/2025
 Results 
Total Profit: $808   Total Trades: 5  
Capital Growth:8.08%   Profit Trades, % of Total:80%  
Profit Factor: [?] 5.69  Avg Trade Duration, days:59  
Payoff Ratio: [?] 1.42   Avg Profit per Trade:8.24%  
Max Drawdown:2%   Avg Profit per Day:0.14%  
Max Drawdown, $: 172   Avg Market Impact: [?]
Minor  
 
Restoration Factor: [?] 4.69   Overall Viability Score: [?]
10 / 10
 
Avg Annual Return: 8.08%   CAGR: [?]8.08%  
 Equity Graph 
 Performance 
Year S&P 500 Equity JanFeb MarAprMay JunJulAug SepOctNov Dec
2025 -4.66 8.08 4.39 4.55 -0.98
        
Performed Trades  
 Symbol Entry Date
Entry
Price, $
Exit Date
Exit
Price, $
Shares Profit, $  Exit On
Stop
Loss, $
Take
Profit, $
 MI [?]
 VZ 01/02/2025 39.51 03/31/2025 45.42 50 291.11  Period End  Minor 
 CSCO 01/02/2025 58.70 03/31/2025 61.70 34 97.86  Period End  Minor 
 KO 01/02/2025 61.39 03/31/2025 71.70 32 325.50  Period End  Minor 
 MRK 01/02/2025 98.32 03/31/2025 89.89 20 -172.28  Period End  Minor 
 MMM 01/02/2025 129.06 03/31/2025 147.07 15 265.87  Period End  Minor 
5 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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