Overall Statistics Total Trades 1 Average Win 0% Average Loss 0% Compounding Annual Return 16.444% Drawdown 9.000% Expectancy 0 Net Profit 32.794% Sharpe Ratio 1.364 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0.009 Beta 0.973 Annual Standard Deviation 0.095 Annual Variance 0.009 Information Ratio 0.475 Tracking Error 0.011 Treynor Ratio 0.133 Total Fees \$1.00
```namespace QuantConnect
{
/*
*   Basic Template Algorithm
*
*   The underlying QCAlgorithm class has many methods which enable you to use QuantConnect.
*   We have explained some of these here, but the full base class can be found at:
*   https://github.com/QuantConnect/Lean/tree/master/Algorithm
*/
public class BasicTemplateAlgorithm : QCAlgorithm
{
public override void Initialize()
{
// backtest parameters
SetStartDate(2016, 1, 1);
SetEndDate(DateTime.Now);

// cash allocation
SetCash(25000);

// request specific equities
// including forex. Options and futures in beta.

weekly.DataConsolidated += weeklyBars;

}

public void weeklyBars(object sender, TradeBar bar){
Debug(bar.EndTime + " Open:" + bar.Open + " Close:" + bar.Close);
}

/*
*	New data arrives here.
*	The "Slice" data represents a slice of time, it has all the data you need for a moment.
*/
public override void OnData(Slice data)
{
// slice has lots of useful information
Splits splits = data.Splits;
Dividends dividends = data.Dividends;

//Get just this bar.

if (bars.ContainsKey("SPY")) bar = bars["SPY"];

if (!Portfolio.HoldStock)
{
// place an order, positive is long, negative is short.
// Order("SPY",  quantity);

// or request a fixed fraction of a specific asset.
// +1 = 100% long. -2 = short all capital with 2x leverage.
SetHoldings("SPY", 1);

// debug message to your console. Time is the algorithm time.
// send longer messages to a file - these are capped to 10kb
Debug("Purchased SPY on " + Time.ToShortDateString());
//Log("This is a longer message send to log.");
}
}
}
}                        ```