Strategy Tester

Strategy Name

Turnaround Tuesday

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.

Results

Total Profit:

$391

Total Trades:

Capital Growth:

3.91%

Profit Trades, % of Total:

80%

Profit Factor: [?]

4.32

Avg Trade Duration, days:

Payoff Ratio: [?]

1.08

Avg Profit per Trade:

0.79%

Max Drawdown:

Avg Profit per Day:

0.79%

Max Drawdown, $:

118

Avg Market Impact: [?]

Minor

Restoration Factor: [?]

3.32

Overall Viability Score: [?]

8 / 10

Avg Annual Return:

3.91%

CAGR: [?]

3.91%

Equity Graph

Performance

Year

S&P 500

Equity

Jan

Feb

Mar

Apr

May

Jun

Jul

Aug

Sep

Oct

Nov

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
SPY	03/13/2023	383.89	03/14/2023	390.24	26	164.08	Duration Limit
SPY	02/06/2023	408.27	02/07/2023	413.61	25	132.47	Duration Limit
SPY	01/30/2023	399.07	01/31/2023	404.93	25	145.49	Duration Limit
SPY	01/09/2023	386.39	01/10/2023	389.10	25	66.78	Duration Limit

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.