| Overall Statistics |
|
Total Trades 1 Average Win 0.56% Average Loss 0% Compounding Annual Return 144.498% Drawdown 0.400% Expectancy 0 Net Profit 0.558% Sharpe Ratio 7.127 Loss Rate 0% Win Rate 100% Profit-Loss Ratio 0 Alpha -0.574 Beta 1.137 Annual Standard Deviation 0.066 Annual Variance 0.004 Information Ratio -24.846 Tracking Error 0.018 Treynor Ratio 0.412 |
using System;
using System.Collections;
using System.Collections.Generic;
using QuantConnect.Securities;
using QuantConnect.Models;
namespace QuantConnect
{
// Name your algorithm class anything, as long as it inherits QCAlgorithm
public class BasicTemplateAlgorithm : QCAlgorithm
{
string _symbol = "SPY";
DateTime _date = new DateTime(2014, 12, 1);
TradeBars _lastBars = null;
//Initialize the data and resolution you require for your strategy:
public override void Initialize()
{
SetStartDate(2014, 12, 1);
SetEndDate(2014, 12, 4);
SetCash(25000);
AddSecurity(SecurityType.Equity, _symbol, Resolution.Minute);
}
//Data Event Handler: New data arrives here. "TradeBars" type is a dictionary of strings so you can access it by symbol.
public void OnData(TradeBars data)
{
if (!data.ContainsKey(_symbol)) return;
if (!Portfolio.Invested) Order(_symbol, 100);
if (_lastBars == null) _lastBars = data;
if (Time.Date != _date.Date)
{
_date = Time;
Log("PRICES: BarDate>" + _lastBars[_symbol].Time.ToShortDateString() + "> Time> " + _lastBars[_symbol].Time.ToShortTimeString() + " Close > " + _lastBars[_symbol].Close.ToString("C"));
}
_lastBars = data;
}
}
}