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Strategy Name Turnaround Tuesday
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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: 1/1/2023 - 12/31/2023
The backtester displays results for the current year only. Please sign up to view the full report.
Total Profit: $391   Total Trades: 5  
Capital Growth:3.91%   Profit Trades, % of Total:80%  
Profit Factor: [?] 4.32  Avg Trade Duration, days:1  
Payoff Ratio: [?] 1.08   Avg Profit per Trade:0.79%  
Max Drawdown:1%   Avg Profit per Day:0.79%  
Max Drawdown, $: 118   Avg Market Impact: [?]
Restoration Factor: [?] 3.32   Overall Viability Score: [?]
8 / 10
Avg Annual Return: 3.91%   CAGR: [?]3.91%  
 Equity Graph 
Year S&P 500 Equity JanFeb MarAprMay JunJulAug SepOctNov Dec
2023 9.53 3.91 2.12 1.30 1.59 0.00 -1.12
Performed Trades: All  
 Symbol Entry Date Entry Price, $ Exit Date Exit Price, $ Shares Profit, $  Exit On  MI [?]
 SPY 05/01/2023 415.51 05/02/2023 410.84 25 -117.78  Duration Limit Minor
 SPY 03/13/2023 383.89 03/14/2023 390.24 26 164.08  Duration Limit Minor
 SPY 02/06/2023 408.27 02/07/2023 413.61 25 132.47  Duration Limit Minor
 SPY 01/30/2023 399.07 01/31/2023 404.93 25 145.49  Duration Limit Minor
 SPY 01/09/2023 386.39 01/10/2023 389.10 25 66.78  Duration Limit Minor

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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