Optimization

Follow these steps to make your algorithm use project parameters instead of constant values:

1. Open your project in your preferred editor.
2. Open the project's config.json file.
3. Add the required parameters in the parameters property. All keys and values of this object must be strings. Example:

   {
       "parameters": {
           "ema-fast": "10",
           "ema-medium": "30",
           "ema-slow": "50"
       }
   }

4. Open your algorithm in the editor.
5. Call QCAlgorithm.GetParameter(name) in your algorithm to retrieve the value of a parameter and use that instead of constant values.

   namespace QuantConnect.Algorithm.CSharp
   {
       public class ParameterizedAlgorithm : QCAlgorithm
       {
           private ExponentialMovingAverage _fast;
           private ExponentialMovingAverage _medium;
           private ExponentialMovingAverage _slow;
   
           public override void Initialize()
           {
               SetStartDate(2020, 1, 1);
               SetCash(100000);
               AddEquity("SPY");
   
               var fastPeriod = GetParameter("ema-fast", 10);
               var mediumPeriod = GetParameter("ema-medium", 30);
               var slowPeriod = GetParameter("ema-slow", 50);
   
               _fast = EMA("SPY", fastPeriod);
               _medium = EMA("SPY", mediumPeriod);
               _slow = EMA("SPY", slowPeriod);
           }
       }
   }

   class ParameterizedAlgorithm(QCAlgorithm):
       def initialize(self) -> None:
           self.set_start_date(2020, 1, 1)
           self.set_cash(100000)
           self.add_equity("SPY")
   
           fast_period = self.get_parameter("ema-fast", 10)
           medium_period = self.get_parameter("ema-medium", 30)
           slow_period = self.get_parameter("ema-slow", 50)
   
           self._fast = self.EMA("SPY", fast_period)
           self._medium = self.EMA("SPY", medium_period)
           self._slow = self.EMA("SPY", slow_period)