| Overall Statistics |
|
Total Trades 1 Average Win 0% Average Loss 0% Compounding Annual Return 31.770% Drawdown 81.900% Expectancy 0 Net Profit 37019.815% Sharpe Ratio 0.868 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.026 Beta 19.833 Annual Standard Deviation 0.428 Annual Variance 0.183 Information Ratio 0.822 Tracking Error 0.428 Treynor Ratio 0.019 Total Fees $488.63 |
using System.Collections.Generic;
using QuantConnect.Data;
using QuantConnect.Interfaces;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// Basic template algorithm simply initializes the date range and cash. This is a skeleton
/// framework you can use for designing an algorithm.
/// </summary>
/// <meta name="tag" content="using data" />
/// <meta name="tag" content="using quantconnect" />
/// <meta name="tag" content="trading and orders" />
public class BasicTemplateAlgorithm : QCAlgorithm
{
private Symbol _symbol = QuantConnect.Symbol.Create("AAPL", SecurityType.Equity, Market.USA);
/// <summary>
/// Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.
/// </summary>
public override void Initialize()
{
SetStartDate(1998, 1, 1); //Set Start Date
// SetEndDate(2019, 6, 1); //Set End Date
SetCash(100000); //Set Strategy Cash
AddEquity("AAPL", Resolution.Daily);
}
/// <summary>
/// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
/// </summary>
/// <param name="data">Slice object keyed by symbol containing the stock data</param>
public override void OnData(Slice data)
{
if (!Portfolio.Invested)
SetHoldings(_symbol, 1);
}
}
}