| Overall Statistics |
|
Total Trades 0 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Net Profit 0% Sharpe Ratio 0 Probabilistic Sharpe Ratio 0% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0 Annual Variance 0 Information Ratio 0 Tracking Error 0 Treynor Ratio 0 Total Fees $0.00 |
using System;
using System.Collections.Generic;
using QuantConnect.Data;
using QuantConnect.Data.UniverseSelection;
namespace Quant
{
/// <summary>
/// Provides a base class for alpha models.
/// </summary>
public class AlphaModell : IAlphaModell, INamedModel
{
/// <summary>
/// Defines a name for a framework model
/// </summary>
public virtual string Name { get; set; }
public AlphaModell()
{
Name = Guid.NewGuid().ToString();
}
/// <summary>
/// Updates this alpha model with the latest data from the algorithm.
/// This is called each time the algorithm receives data for subscribed securities
/// </summary>
/// <param name="algorithm">The algorithm instance</param>
/// <param name="data">The new data available</param>
/// <returns>The new insights generated</returns>
public virtual IEnumerable<Insight> Update(QCAlgorithm algorithm, OrderEvent orderEvent, Slice slice)
{
throw new System.NotImplementedException("Types deriving from 'AlphaModel' must implement the 'IEnumerable<Insight> Update(QCAlgorithm, Slice) method.");
}
/// <summary>
/// Event fired each time the we add/remove securities from the data feed
/// </summary>
/// <param name="algorithm">The algorithm instance that experienced the change in securities</param>
/// <param name="changes">The security additions and removals from the algorithm</param>
public virtual void OnSecuritiesChanged(QCAlgorithm algorithm, SecurityChanges changes)
{
}
}
}using System;
using System.Collections.Generic;
using QuantConnect.Data;
using QuantConnect.Data.Market;
using System.Linq;
using QuantConnect;
using QuantConnect.Securities.Future;
using QuantConnect.Interfaces;
using QuantConnect.Securities;
using QuantConnect.Algorithm;
using QuantConnect.Indicators;
using QuantConnect.Algorithm.Framework;
using QuantConnect.Algorithm.Framework.Execution;
using QuantConnect.Algorithm.Framework.Portfolio;
using QuantConnect.Orders;
using Quant;
namespace Quant
{
public partial class Algorithm_YM : AlphaModell
{
public RollingWindow<decimal> BidPriceYM = new RollingWindow<decimal>(3);
public RollingWindow<decimal> AskPriceYM = new RollingWindow<decimal>(3);
public RollingWindow<decimal> VolumeYM = new RollingWindow<decimal>(3);
public OrderTicket EntryOrder { get; set; }
private readonly Symbol _symbol;
public Algorithm_YM(Symbol symbol)
{
_symbol = symbol;
}
public Func<QCAlgorithm, string, decimal, OneCancelsOtherTicketSet> OnOrderFilledEvent { get; set; }
public OneCancelsOtherTicketSet ProfitLossOrders { get; set; }
public override IEnumerable<Insight> Update(QCAlgorithm algo_YM, OrderEvent orderEvent, Slice slice)
{
if (EntryOrder != null)
{
this.EntryOrder = null;
}
if (orderEvent.Status == OrderStatus.Filled || orderEvent.Status == OrderStatus.PartiallyFilled)
{
if (this.OnOrderFilledEvent != null)
{
this.ProfitLossOrders = OnOrderFilledEvent(algo_YM, orderEvent.Symbol, orderEvent.FillPrice);
OnOrderFilledEvent = null;
}
else
if (this.ProfitLossOrders != null)
{
this.ProfitLossOrders.Filled();
this.ProfitLossOrders = null;
}
}
var accountCurrencyCash = algo_YM.Portfolio.TotalPortfolioValue;
var Insight = new List<Insight>();
foreach(var chain in slice.FutureChains)
{
// remplacer les lettre entre guillemet par l'abreviation correspondant au contract analysé.
if (chain.Value.Symbol.StartsWith("YM"))
{
var YM = (from futuresContract in chain.Value.OrderBy(x => x.Expiry)
where futuresContract.Expiry > algo_YM.Time.Date.AddDays(1)
select futuresContract).FirstOrDefault();
if (YM != null)
{
BidPriceYM.Add(YM.BidPrice);
AskPriceYM.Add(YM.AskPrice);
VolumeYM.Add(YM.Volume);
if (!BidPriceYM.IsReady || !AskPriceYM.IsReady || !VolumeYM.IsReady)
continue;
if (YM.BidPrice != 0 && YM.AskPrice != 0)
{
var _quantityy = (decimal)(VolumeYM[0]+VolumeYM[1]) * 0.001m;
if (BidPriceYM[0]>AskPriceYM[1])
{
this.OnOrderFilledEvent = (algoo_YM, Symbol, FillPrice) =>
{
return new OneCancelsOtherTicketSet(
algoo_YM.LimitOrder(YM.Symbol, -_quantityy, FillPrice * VarYM.TPLong, "Profit Long _Target"),
algoo_YM.StopMarketOrder(YM.Symbol, -_quantityy, FillPrice * VarYM.SLLong, "Stop Long _Loss"));
};
EntryOrder = algo_YM.MarketOrder(YM.Symbol, _quantityy, false, "Entry");
break;
}
if (AskPriceYM[0]<BidPriceYM[1])
{
this.OnOrderFilledEvent = (algoo_YM, Symbol, FillPrice) =>
{
return new OneCancelsOtherTicketSet(
algoo_YM.LimitOrder(YM.Symbol, -_quantityy, FillPrice * VarYM.TPShort, "Profit Short _Target"),
algoo_YM.StopMarketOrder(YM.Symbol, -_quantityy, FillPrice * VarYM.SLShort, "Stop Short _Loss"));
};
EntryOrder = algo_YM.MarketOrder(YM.Symbol, _quantityy, false, "Entry");
break;
}
}}}
}
return Insight;
}
}
}namespace Quant
{
public static class VarES
{
public const decimal minprizefluct = 0.25m ;
public const decimal TPLong = 1.001m ;
public const decimal SLLong = 0.972m ;
public const decimal TPShort = 1.001m ;
public const decimal SLShort = 0.972m ;
}
}namespace Quant
{
public static class VarYM
{
public const decimal minprizefluct = 1m ;
public const decimal TPLong = 1.0005m ;
public const decimal SLLong = 0.94m ;
public const decimal TPShort = 1.0005m ;
public const decimal SLShort = 0.94m ;
}
}using System;
using System.Collections.Generic;
using QuantConnect.Data;
using QuantConnect.Data.Market;
using System.Linq;
using QuantConnect;
using QuantConnect.Securities.Future;
using QuantConnect.Interfaces;
using QuantConnect.Securities;
using QuantConnect.Algorithm;
using QuantConnect.Indicators;
using QuantConnect.Algorithm.Framework;
using QuantConnect.Algorithm.Framework.Execution;
using QuantConnect.Algorithm.Framework.Portfolio;
using QuantConnect.Orders;
using Quant;
namespace Quant
{
public partial class Algorithm_ES : AlphaModell
{
public RollingWindow<decimal> BidPriceES = new RollingWindow<decimal>(3);
public RollingWindow<decimal> AskPriceES = new RollingWindow<decimal>(3);
public RollingWindow<decimal> VolumeES = new RollingWindow<decimal>(3);
public OrderTicket EntryOrder { get; set; }
private readonly Symbol _symbol;
public Algorithm_ES(Symbol symbol)
{
_symbol = symbol;
}
public Func<QCAlgorithm, string, decimal, OneCancelsOtherTicketSet> OnOrderFilledEvent { get; set; }
public OneCancelsOtherTicketSet ProfitLossOrders { get; set; }
public override IEnumerable<Insight> Update(QCAlgorithm algo_ES, OrderEvent orderEvent, Slice slice)
{
if (EntryOrder != null)
{
this.EntryOrder = null;
}
if (orderEvent.Status == OrderStatus.Filled || orderEvent.Status == OrderStatus.PartiallyFilled)
{
if (this.OnOrderFilledEvent != null)
{
this.ProfitLossOrders = OnOrderFilledEvent(algo_ES, orderEvent.Symbol, orderEvent.FillPrice);
OnOrderFilledEvent = null;
}
else
if (this.ProfitLossOrders != null)
{
this.ProfitLossOrders.Filled();
this.ProfitLossOrders = null;
}
}
var accountCurrencyCash = algo_ES.Portfolio.TotalPortfolioValue;
var Insight = new List<Insight>();
foreach(var chain in slice.FutureChains)
{
// remplacer les lettre entre guillemet par l'abreviation correspondant au contract analysé.
if (chain.Value.Symbol.StartsWith("ES"))
{
var ES = (from futuresContract in chain.Value.OrderBy(x => x.Expiry)
where futuresContract.Expiry > algo_ES.Time.Date.AddDays(1)
select futuresContract).FirstOrDefault();
if (ES != null)
{
BidPriceES.Add(ES.BidPrice);
AskPriceES.Add(ES.AskPrice);
VolumeES.Add(ES.Volume);
if (!BidPriceES.IsReady || !AskPriceES.IsReady || !VolumeES.IsReady)
continue;
if (ES.BidPrice != 0 && ES.AskPrice != 0)
{
var _quantityy = (decimal)(VolumeES[0]+VolumeES[1]) * 0.00001m;
if (BidPriceES[0]>AskPriceES[1])
{
this.OnOrderFilledEvent = (algoo_ES, Symbol, FillPrice) =>
{
return new OneCancelsOtherTicketSet(
algoo_ES.LimitOrder(ES.Symbol, -_quantityy, FillPrice * VarES.TPLong, "Profit Long _Target"),
algoo_ES.StopMarketOrder(ES.Symbol, -_quantityy, FillPrice * VarES.SLLong, "Stop Long _Loss"));
};
EntryOrder = algo_ES.MarketOrder(ES.Symbol, _quantityy, false, "Entry");
break;
}
if (AskPriceES[0]<BidPriceES[1])
{
this.OnOrderFilledEvent = (algoo_ES, Symbol, FillPrice) =>
{
return new OneCancelsOtherTicketSet(
algoo_ES.LimitOrder(ES.Symbol, -_quantityy, FillPrice * VarES.TPShort, "Profit Short _Target"),
algoo_ES.StopMarketOrder(ES.Symbol, -_quantityy, FillPrice * VarES.SLShort, "Stop Short _Loss"));
};
EntryOrder = algo_ES.MarketOrder(ES.Symbol, _quantityy, false, "Entry");
break;
}
}}}
}
return Insight;
}
}
}using System;
using System.Collections.Generic;
using QuantConnect.Data;
using QuantConnect.Data.Market;
using System.Linq;
using QuantConnect;
using QuantConnect.Securities.Future;
using QuantConnect.Interfaces;
using QuantConnect.Indicators;
using QuantConnect.Securities;
using QuantConnect.Algorithm;
using QuantConnect.Algorithm.Framework.Execution ;
using QuantConnect.Algorithm.Framework.Portfolio;
using QuantConnect.Orders;
using Quant;
namespace Quant
{
public partial class Algorithm : QCAlgorithm
{
private String[] futureSymbols = new[] {"ES", "YM"};
private Dictionary<Symbol, FuturesChain> contract_chains = new Dictionary<Symbol, FuturesChain>();
private Dictionary<Symbol, Future> contracts = new Dictionary<Symbol, Future>();
public OrderTicket EntryOrder { get; set; }
public Func<QCAlgorithm, string, decimal, OneCancelsOtherTicketSet> OnOrderFilledEvent { get; set; }
public OneCancelsOtherTicketSet ProfitLossOrders { get; set; }
private Symbol _YM;
private Symbol _ES;
public override void Initialize()
{
SetStartDate(2000, 01, 01);
SetEndDate(2010, 01, 01);
SetCash(1000000);
foreach (var futureSymbol in futureSymbols)
{
Debug($"Registering {futureSymbol}");
Future fut = AddFuture(futureSymbol, Resolution.Minute);
fut.SetFilter(universe => universe.FrontMonth());
}
_ES = QuantConnect.Symbol.Create("ES", SecurityType.Future, Market.USA);
_YM = QuantConnect.Symbol.Create("YM", SecurityType.Future, Market.USA);
SetSecurityInitializer(x => x.SetSlippageModel(new CustomSlippageModel(this)));
SetBrokerageModel(BrokerageName.AlphaStreams);
SetExecution(new VolumeWeightedAveragePriceExecutionModel());
AddRiskManagement(new MaximumUnrealizedProfitPercentPerSecurity(0.1m));
AddRiskManagement(new MaximumDrawdownPercentPerSecurity(0.1m));
}
public class FuturesUniverseSelectionModel : FutureUniverseSelectionModel
{
public FuturesUniverseSelectionModel(Func<DateTime, IEnumerable<Symbol>> futureChainSymbolSelector)
:base(TimeSpan.FromDays(1), futureChainSymbolSelector){}
public FutureFilterUniverse filter(FutureFilterUniverse filter){
return filter.Expiration(TimeSpan.Zero, TimeSpan.FromDays(182)).OnlyApplyFilterAtMarketOpen();}
}
public class CustomSlippageModel : ISlippageModel
{
private readonly QCAlgorithm _algorithm;
public RollingWindow<decimal> High = new RollingWindow<decimal>(2);
public RollingWindow<decimal> Low = new RollingWindow<decimal>(2);
public RollingWindow<decimal> Volume = new RollingWindow<decimal>(2);
public CustomSlippageModel(QCAlgorithm algorithm)
{
_algorithm = algorithm;
}
public decimal GetSlippageApproximation(Security asset, Order order)
{
High.Add(asset.High);
Low.Add(asset.Low);
Volume.Add(asset.Volume);
var orderVolume = order.AbsoluteQuantity;
var slippage = (High[0]-Low[0]) * 0.01m / (Volume[0]/orderVolume);
if (asset.Symbol.Value.StartsWith("ES"))
{
if (((High[0]-Low[0]) * 0.01m / (Volume[0]/orderVolume)) < VarES.minprizefluct)
{
return VarES.minprizefluct ;
}
}
if (asset.Symbol.Value.StartsWith("YM"))
{
if (((High[0]-Low[0]) * 0.01m / (Volume[0]/orderVolume)) < VarES.minprizefluct)
{
return VarYM.minprizefluct ;
}
}
return slippage;
}
}
}
}using QuantConnect.Algorithm;
namespace Quant
{
public class OneCancelsOtherTicketSet
{
public OneCancelsOtherTicketSet(params OrderTicket[] orderTickets)
{
this.OrderTickets = orderTickets;
}
private OrderTicket[] OrderTickets { get; set; }
public void Filled()
{
// Cancel all the outstanding tickets.
foreach (var orderTicket in this.OrderTickets)
{
if (orderTicket.Status == OrderStatus.Submitted)
{
orderTicket.Cancel();
}
}
}
}
}using Python.Runtime;
using QuantConnect.Data;
using QuantConnect.Data.UniverseSelection;
using System;
using System.Collections.Generic;
namespace Quant
{
/// <summary>
/// Provides an implementation of <see cref="IAlphaModel"/> that wraps a <see cref="PyObject"/> object
/// </summary>
public class AlphaModelPythonWrapper : AlphaModell
{
private readonly dynamic _model;
/// <summary>
/// Defines a name for a framework model
/// </summary>
public override string Name
{
get
{
using (Py.GIL())
{
// if the model defines a Name property then use that
if (_model.HasAttr("Name"))
{
return (_model.Name as PyObject).GetAndDispose<string>();
}
// if the model does not define a name property, use the python type name
return (_model.__class__.__name__ as PyObject).GetAndDispose<string>();
}
}
}
/// <summary>
/// Constructor for initialising the <see cref="IAlphaModel"/> class with wrapped <see cref="PyObject"/> object
/// </summary>
/// <param name="model">>Model that generates alpha</param>
public AlphaModelPythonWrapper(PyObject model)
{
using (Py.GIL())
{
foreach (var attributeName in new[] { "Update", "OnSecuritiesChanged" })
{
if (!model.HasAttr(attributeName))
{
throw new NotImplementedException($"IAlphaModel.{attributeName} must be implemented. Please implement this missing method on {model.GetPythonType()}");
}
}
}
_model = model;
}
/// <summary>
/// Updates this alpha model with the latest data from the algorithm.
/// This is called each time the algorithm receives data for subscribed securities
/// </summary>
/// <param name="algorithm">The algorithm instance</param>
/// <param name="data">The new data available</param>
/// <returns>The new insights generated</returns>
public override IEnumerable<Insight> Update(QCAlgorithm algorithm, OrderEvent orderEvent, Slice slice)
{
using (Py.GIL())
{
var insights = _model.Update(algorithm, orderEvent, slice) as PyObject;
var iterator = insights.GetIterator();
foreach (PyObject insight in iterator)
{
yield return insight.GetAndDispose<Insight>();
}
iterator.Dispose();
insights.Dispose();
}
}
/// <summary>
/// Event fired each time the we add/remove securities from the data feed
/// </summary>
/// <param name="algorithm">The algorithm instance that experienced the change in securities</param>
/// <param name="changes">The security additions and removals from the algorithm</param>
public override void OnSecuritiesChanged(QCAlgorithm algorithm, SecurityChanges changes)
{
using (Py.GIL())
{
_model.OnSecuritiesChanged(algorithm, changes);
}
}
}
}using System.Collections.Generic;
using QuantConnect.Data;
namespace Quant
{
/// <summary>
/// Algorithm framework model that produces insights
/// </summary>
public interface IAlphaModell : INotifiedSecurityChanges
{
/// <summary>
/// Updates this alpha model with the latest data from the algorithm.
/// This is called each time the algorithm receives data for subscribed securities
/// </summary>
/// <param name="algorithm">The algorithm instance</param>
/// <param name="data">The new data available</param>
/// <returns>The new insights generated</returns>
IEnumerable<Insight> Update(QCAlgorithm algorithm, OrderEvent orderEvent, Slice slice);
}
}