| Overall Statistics |
|
Total Trades 893 Average Win 2.19% Average Loss -1.92% Compounding Annual Return 6443733821369940000000000% Drawdown 32.500% Expectancy 0.824 Net Profit 99201.095% Sharpe Ratio 23.254 Loss Rate 15% Win Rate 85% Profit-Loss Ratio 1.14 Alpha 8.083 Beta 2305.214 Annual Standard Deviation 1.688 Annual Variance 2.848 Information Ratio 23.247 Tracking Error 1.688 Treynor Ratio 0.017 Total Fees $333202.70 |
//Copyright HardingSoftware.com, 2018.
//Granted to the public domain.
//Use entirely at your own risk.
namespace QuantConnect
{
public class MultiCoinFramework : QCAlgorithm
{
string tickersString ="BTCUSD,ETHUSD,LTCUSD";
decimal changes1Ratio=-1.0m; //The influence of change upon fitness.
decimal changes2Ratio=0.0m; //The influence of change in change upon fitness.
int emaOfChanges1Length=5; //The length of the change indicator.
int emaOfChanges2Length=5; //The length of the change in change indicator.
decimal leverage=1m;
int historyLength=2;
int changes1Length=2;
int changes2Length=2;
Resolution resolution=Resolution.Hour;
List<StockData> stockDatas = new List<StockData>();
string stockHeld="";
public override void Initialize()
{
SetStartDate(2018, 2, 1);
SetEndDate(2018, 3, 21);
SetCash(1000);
string[] tickers = tickersString.Split(new string[1] { "," }, StringSplitOptions.RemoveEmptyEntries);
foreach (string ticker in tickers)
{
Symbol symbol = QuantConnect.Symbol.Create(ticker, SecurityType.Crypto, Market.GDAX);
AddCrypto(symbol, resolution);
StockData stockData=new StockData();
stockData.Ticker=ticker;
stockData.emaOfChanges1Indicator = new ExponentialMovingAverage(emaOfChanges1Length);
stockData.emaOfChanges2Indicator = new ExponentialMovingAverage(emaOfChanges2Length);
stockDatas.Add(stockData);
}
foreach (Security s in Securities.Values)
{
s.FeeModel=new CustomFeeModel();
}
}
public override void OnData(Slice data)
{
foreach (StockData stockData in stockDatas)
{
if (data.QuoteBars.ContainsKey(stockData.Ticker)==false)
{
continue;
}
stockData.history.Add(data.QuoteBars[stockData.Ticker].Close);
if (stockData.history.Count>historyLength)
{
stockData.history.RemoveAt(0);
}
if (stockData.history.Count>=2)
{
if (stockData.history[stockData.history.Count-2]!=0)
{
decimal change=(stockData.history.Last()-stockData.history[stockData.history.Count-2])/stockData.history[stockData.history.Count-2];
stockData.changes1History.Add(change);
if (stockData.changes1History.Count>changes1Length)
{
stockData.changes1History.RemoveAt(0);
}
}
}
if (stockData.changes1History.Count>=2)
{
decimal change=stockData.changes1History.Last()-stockData.changes1History[stockData.changes1History.Count-2];
stockData.changes2History.Add(change);
if (stockData.changes2History.Count>changes2Length)
{
stockData.changes2History.RemoveAt(0);
}
}
if (stockData.changes1History.Count>0)
{
stockData.emaOfChanges1Indicator.Update(Time,stockData.changes1History.Last());
}
if (stockData.changes2History.Count>0)
{
stockData.emaOfChanges2Indicator.Update(Time,stockData.changes2History.Last());
}
stockData.Fitness=changes1Ratio*stockData.emaOfChanges1Indicator+changes2Ratio*stockData.emaOfChanges2Indicator;
}
var q1 = from x in stockDatas
orderby x.Fitness descending
select x;
List<StockData> q2=q1.ToList();
if (q2.Count>0)
{
StockData selectedStockData=q2.First();
if (selectedStockData.Ticker != stockHeld)
{
Liquidate();
SetHoldings(selectedStockData.Ticker, leverage);
stockHeld=selectedStockData.Ticker;
}
}
}
class StockData
{
public string Ticker;
public List<decimal> history=new List<decimal>();
public List<decimal> changes1History=new List<decimal>();
public List<decimal> changes2History=new List<decimal>();
public ExponentialMovingAverage emaOfChanges1Indicator;
public ExponentialMovingAverage emaOfChanges2Indicator;
public decimal Fitness;
}
public class CustomFeeModel : IFeeModel
{
public decimal GetOrderFee(Security security, Order order)
{
var fee = order.AbsoluteQuantity*0.0025m*security.Price;
return fee;
}
}
}
}