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Strategy Name The Friday Gold Rush
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This strategy, used by fund manager Andre Stagge, is simple: Buy gold every Thursday evening and keep the position 24 hours. On Friday evening the position is sold. This strategy is based on the fact that firms in the jewellery industry tend to buy their raw material on Friday for delivery during the weekend or Monday morning. The strategy is backtested on GLD (the SPDR Gold Shares ETF) with full capital investment.
Type of Positions Long
 Position Opening 
Criteria for Opening a Position: ticker(gld) and weekday(thu)
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: 0.01%  
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: $245   Total Trades: 4  
Capital Growth:2.45%   Profit Trades, % of Total:50%  
Profit Factor: [?] 5.49  Avg Trade Duration, days:1  
Payoff Ratio: [?] 5.49   Avg Profit per Trade:0.62%  
Max Drawdown:1%   Avg Profit per Day:0.62%  
Max Drawdown, $: 55   Avg Market Impact: [?]
Restoration Factor: [?] 4.49   Overall Viability Score: [?]
8 / 10
Avg Annual Return: 2.45%  
 Equity Graph 
Year S&P 500 Equity JanFeb MarAprMay JunJulAug SepOctNov Dec
2023 6.02 2.45 2.45
Performed Trades: All  
 Symbol Entry Date Entry Price, $ Exit Date Exit Price, $ Shares Profit, $  Exit On  MI [?]
 GLD 01/26/2023 179.47 01/27/2023 179.22 57 -17.32  Duration Limit Minor
 GLD 01/19/2023 179.89 01/20/2023 179.29 57 -37.27  Duration Limit Minor
 GLD 01/12/2023 176.64 01/13/2023 178.76 57 117.80  Duration Limit Minor
 GLD 01/05/2023 170.52 01/06/2023 173.71 58 182.02  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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