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Strategy Name Turnaround Tuesday
  Create a Copy 
The idea behind this strategy is simple: If the equity index has a negative performance on Monday, then Tuesday's market action often shows a bullish turnaround. The strategy is backtested on SPY (the SPDR S&P 500 ETF) with full capital investment.
Type of Positions Long
 Position Opening 
Criteria for Opening a Position: ticker(spy) and weekday(mon) and (close[0] < close[1])@sp500
Order Execution Model: Close Prices
 Backtest Parameters 
Initial Capital: $10,000
Capital at Risk: 100% per trade
Portfolio Max Size: 1 positions
Comm. per Trade: 0%  
Avg Bid-Ask Spread: 0.01%  
Stop Loss: 20% 
Close position after: 1 trading days/bars
Period: 1/1/2025 - 12/31/2025
 Results 
Total Profit: $-105   Total Trades: 5  
Capital Growth:-1.05%   Profit Trades, % of Total:40%  
Profit Factor: [?] 0.58  Avg Trade Duration, days:1  
Payoff Ratio: [?] 0.87   Avg Profit per Trade:-0.21%  
Max Drawdown:2%   Avg Profit per Day:-0.21%  
Max Drawdown, $: 249   Avg Market Impact: [?]
Minor  
 
Restoration Factor: [?] -0.42   Overall Viability Score: [?]
1 / 10
 
Avg Annual Return: -1.05%   CAGR: [?]0%  
 Equity Graph 
 Performance 
Year S&P 500 Equity JanFeb MarAprMay JunJulAug SepOctNov Dec
2025 -4.48 -1.05 0.81 0.12 -1.96
        
Performed Trades  
 Symbol Entry Date
Entry
Price, $
Exit Date
Exit
Price, $
Shares Profit, $  Exit On
Stop
Loss, $
Take
Profit, $
 MI [?]
 SPY 03/10/2025 558.90 03/11/2025 554.25 17 -79.99  Time Limit 447.12  Minor 
 SPY 03/03/2025 582.02 03/04/2025 575.13 17 -118.11  Time Limit 465.62  Minor 
 SPY 02/24/2025 595.42 02/25/2025 592.46 17 -51.33  Time Limit 476.34  Minor 
 SPY 02/03/2025 595.98 02/04/2025 599.98 16 63.04  Time Limit 476.78  Minor 
 SPY 01/27/2025 597.57 01/28/2025 602.71 16 81.28  Time Limit 478.06  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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