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Strategy Name CANSLIM System
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CANSLIM is a growth investing strategy focused on smaller, market-leading companies. The system is named after the first letters of its basic rules. These rules consider fundamental indicators such as current earnings, annual earnings, year-over-year earnings performance, 5-year earnings growth rate, relative strength, price performance, and some other factors. In this version of the strategy, only the annual rebalancing of the portfolio is applied. Other positions maintenance parameters such as stop loss or take profit are not used.
Type of Positions Long
 Position Opening 
Criteria for Opening a Position: eps_qtr > 0 and eps_yoy > 18 and eps_yoy > eps_yoy[1] and eps_5y_growth > 25 and eps > eps_y and eps_y > eps_y[1] and eps_y[1] > eps_y[2] and offh_252 < 10 and shares_out <= 20 and rs252 >= 80
Order Execution Model: Close Prices
 Backtest Parameters 
Initial Capital: $10,000
Capital at Risk: 10% per trade
Portfolio Max Size: 10 positions
Comm. per Trade: $0.00  
Avg Bid-Ask Spread: 0.02%  
Close position at the end of: Year
Period: 1/1/2024 - 12/31/2024
The backtester displays results for the current year only. Please sign up to view the full report.
 Results 
Total Profit: $569   Total Trades: 2  
Capital Growth:5.69%   Profit Trades, % of Total:100%  
Profit Factor: [?] 0.00  Avg Trade Duration, days:30.5  
Payoff Ratio: [?] 0.00   Avg Profit per Trade:30.6%  
Max Drawdown:1%   Avg Profit per Day:1%  
Max Drawdown, $: 58   Avg Market Impact: [?]
Minor  
 
Restoration Factor: [?] 9.87   Overall Viability Score: [?]
9 / 10
 
Avg Annual Return: 5.69%   CAGR: [?]5.69%  
 Equity Graph 
 Performance 
Year S&P 500 Equity JanFeb MarAprMay JunJulAug SepOctNov Dec
2024 6.69 5.69 -0.50 6.64 -0.40
     
Performed Trades: All  
 Symbol Entry Date Entry Price, $ Exit Date Exit Price, $ Shares Profit, $  Exit On  MI [?]
 POWL 02/01/2024 115.80 03/01/2024 179.44 8 508.83  Period End Minor
 GPOR 01/02/2024 134.09 03/01/2024 142.66 7 59.79  Period End 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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