/// <summary>
/// Launch the algorithm manager to run this strategy
/// </summary>
/// <param name="job">Algorithm job</param>
/// <param name="algorithm">Algorithm instance</param>
/// <param name="feed">Datafeed object</param>
/// <param name="transactions">Transaction manager object</param>
/// <param name="results">Result handler object</param>
/// <param name="realtime">Realtime processing object</param>
/// <param name="commands">The command queue for relaying extenal commands to the algorithm</param>
/// <param name="token">Cancellation token</param>
/// <remarks>Modify with caution</remarks>
public void Run(AlgorithmNodePacket job, IAlgorithm algorithm, IDataFeed feed, ITransactionHandler transactions, IResultHandler results, IRealTimeHandler realtime, ICommandQueueHandler commands, CancellationToken token)
{
//Initialize:
_dataPointCount = 0;
_algorithm = algorithm;
var portfolioValue = algorithm.Portfolio.TotalPortfolioValue;
var backtestMode = (job.Type == PacketType.BacktestNode);
var methodInvokers = new Dictionary <Type, MethodInvoker>();
var marginCallFrequency = TimeSpan.FromMinutes(5);
var nextMarginCallTime = DateTime.MinValue;
var settlementScanFrequency = TimeSpan.FromMinutes(30);
var nextSettlementScanTime = DateTime.MinValue;
var delistingTickets = new List <OrderTicket>();
//Initialize Properties:
_algorithmId = job.AlgorithmId;
_algorithm.Status = AlgorithmStatus.Running;
_previousTime = algorithm.StartDate.Date;
//Create the method accessors to push generic types into algorithm: Find all OnData events:
// Algorithm 2.0 data accessors
var hasOnDataTradeBars = AddMethodInvoker <TradeBars>(algorithm, methodInvokers);
var hasOnDataTicks = AddMethodInvoker <Ticks>(algorithm, methodInvokers);
// dividend and split events
var hasOnDataDividends = AddMethodInvoker <Dividends>(algorithm, methodInvokers);
var hasOnDataSplits = AddMethodInvoker <Splits>(algorithm, methodInvokers);
var hasOnDataDelistings = AddMethodInvoker <Delistings>(algorithm, methodInvokers);
var hasOnDataSymbolChangedEvents = AddMethodInvoker <SymbolChangedEvents>(algorithm, methodInvokers);
// Algorithm 3.0 data accessors
var hasOnDataSlice = algorithm.GetType().GetMethods()
.Where(x => x.Name == "OnData" && x.GetParameters().Length == 1 && x.GetParameters()[0].ParameterType == typeof(Slice))
.FirstOrDefault(x => x.DeclaringType == algorithm.GetType()) != null;
//Go through the subscription types and create invokers to trigger the event handlers for each custom type:
foreach (var config in algorithm.SubscriptionManager.Subscriptions)
{
//If type is a tradebar, combine tradebars and ticks into unified array:
if (config.Type.Name != "TradeBar" && config.Type.Name != "Tick" && !config.IsInternalFeed)
{
//Get the matching method for this event handler - e.g. public void OnData(Quandl data) { .. }
var genericMethod = (algorithm.GetType()).GetMethod("OnData", new[] { config.Type });
//If we already have this Type-handler then don't add it to invokers again.
if (methodInvokers.ContainsKey(config.Type))
{
continue;
}
//If we couldnt find the event handler, let the user know we can't fire that event.
if (genericMethod == null && !hasOnDataSlice)
{
algorithm.RunTimeError = new Exception("Data event handler not found, please create a function matching this template: public void OnData(" + config.Type.Name + " data) { }");
_algorithm.Status = AlgorithmStatus.RuntimeError;
return;
}
if (genericMethod != null)
{
methodInvokers.Add(config.Type, genericMethod.DelegateForCallMethod());
}
}
}
//Loop over the queues: get a data collection, then pass them all into relevent methods in the algorithm.
Log.Trace("AlgorithmManager.Run(): Begin DataStream - Start: " + algorithm.StartDate + " Stop: " + algorithm.EndDate);
foreach (var timeSlice in Stream(job, algorithm, feed, results, token))
{
// reset our timer on each loop
_currentTimeStepTime = DateTime.UtcNow;
//Check this backtest is still running:
if (_algorithm.Status != AlgorithmStatus.Running)
{
Log.Error(string.Format("AlgorithmManager.Run(): Algorithm state changed to {0} at {1}", _algorithm.Status, timeSlice.Time));
break;
}
//Execute with TimeLimit Monitor:
if (token.IsCancellationRequested)
{
Log.Error("AlgorithmManager.Run(): CancellationRequestion at " + timeSlice.Time);
return;
}
// before doing anything, check our command queue
foreach (var command in commands.GetCommands())
{
if (command == null)
{
continue;
}
Log.Trace("AlgorithmManager.Run(): Executing {0}", command);
CommandResultPacket result;
try
{
result = command.Run(algorithm);
}
catch (Exception err)
{
Log.Error(err);
algorithm.Error(string.Format("{0} Error: {1}", command.GetType().Name, err.Message));
result = new CommandResultPacket(command, false);
}
// send the result of the command off to the result handler
results.Messages.Enqueue(result);
}
var time = timeSlice.Time;
_dataPointCount += timeSlice.DataPointCount;
//If we're in backtest mode we need to capture the daily performance. We do this here directly
//before updating the algorithm state with the new data from this time step, otherwise we'll
//produce incorrect samples (they'll take into account this time step's new price values)
if (backtestMode)
{
//On day-change sample equity and daily performance for statistics calculations
if (_previousTime.Date != time.Date)
{
SampleBenchmark(algorithm, results, _previousTime.Date);
//Sample the portfolio value over time for chart.
results.SampleEquity(_previousTime, Math.Round(algorithm.Portfolio.TotalPortfolioValue, 4));
//Check for divide by zero
if (portfolioValue == 0m)
{
results.SamplePerformance(_previousTime.Date, 0);
}
else
{
results.SamplePerformance(_previousTime.Date, Math.Round((algorithm.Portfolio.TotalPortfolioValue - portfolioValue) * 100 / portfolioValue, 10));
}
portfolioValue = algorithm.Portfolio.TotalPortfolioValue;
}
}
else
{
// live mode continously sample the benchmark
SampleBenchmark(algorithm, results, time);
}
//Update algorithm state after capturing performance from previous day
//Set the algorithm and real time handler's time
algorithm.SetDateTime(time);
if (timeSlice.Slice.SymbolChangedEvents.Count != 0)
{
if (hasOnDataSymbolChangedEvents)
{
methodInvokers[typeof(SymbolChangedEvents)](algorithm, timeSlice.Slice.SymbolChangedEvents);
}
foreach (var symbol in timeSlice.Slice.SymbolChangedEvents.Keys)
{
// cancel all orders for the old symbol
foreach (var ticket in transactions.GetOrderTickets(x => x.Status.IsOpen() && x.Symbol == symbol))
{
ticket.Cancel("Open order cancelled on symbol changed event");
}
}
}
if (timeSlice.SecurityChanges != SecurityChanges.None)
{
foreach (var security in timeSlice.SecurityChanges.AddedSecurities)
{
if (!algorithm.Securities.ContainsKey(security.Symbol))
{
// add the new security
algorithm.Securities.Add(security);
}
}
}
//On each time step push the real time prices to the cashbook so we can have updated conversion rates
foreach (var kvp in timeSlice.CashBookUpdateData)
{
kvp.Key.Update(kvp.Value);
}
//Update the securities properties: first before calling user code to avoid issues with data
foreach (var kvp in timeSlice.SecuritiesUpdateData)
{
kvp.Key.SetMarketPrice(kvp.Value);
// Send market price updates to the TradeBuilder
if (kvp.Value != null)
{
algorithm.TradeBuilder.SetMarketPrice(kvp.Key.Symbol, kvp.Value.Price);
}
}
// fire real time events after we've updated based on the new data
realtime.SetTime(timeSlice.Time);
// process fill models on the updated data before entering algorithm, applies to all non-market orders
transactions.ProcessSynchronousEvents();
if (delistingTickets.Count != 0)
{
for (int i = 0; i < delistingTickets.Count; i++)
{
var ticket = delistingTickets[i];
if (ticket.Status == OrderStatus.Filled)
{
algorithm.Securities.Remove(ticket.Symbol);
delistingTickets.RemoveAt(i--);
Log.Trace("AlgorithmManager.Run(): Delisted Security removed: " + ticket.Symbol.ToString());
}
}
}
//Check if the user's signalled Quit: loop over data until day changes.
if (algorithm.Status == AlgorithmStatus.Stopped)
{
Log.Trace("AlgorithmManager.Run(): Algorithm quit requested.");
break;
}
if (algorithm.RunTimeError != null)
{
_algorithm.Status = AlgorithmStatus.RuntimeError;
Log.Trace(string.Format("AlgorithmManager.Run(): Algorithm encountered a runtime error at {0}. Error: {1}", timeSlice.Time, algorithm.RunTimeError));
break;
}
// perform margin calls, in live mode we can also use realtime to emit these
if (time >= nextMarginCallTime || (_liveMode && nextMarginCallTime > DateTime.UtcNow))
{
// determine if there are possible margin call orders to be executed
bool issueMarginCallWarning;
var marginCallOrders = algorithm.Portfolio.ScanForMarginCall(out issueMarginCallWarning);
if (marginCallOrders.Count != 0)
{
var executingMarginCall = false;
try
{
// tell the algorithm we're about to issue the margin call
algorithm.OnMarginCall(marginCallOrders);
executingMarginCall = true;
// execute the margin call orders
var executedTickets = algorithm.Portfolio.MarginCallModel.ExecuteMarginCall(marginCallOrders);
foreach (var ticket in executedTickets)
{
algorithm.Error(string.Format("{0} - Executed MarginCallOrder: {1} - Quantity: {2} @ {3}", algorithm.Time, ticket.Symbol, ticket.Quantity, ticket.AverageFillPrice));
}
}
catch (Exception err)
{
algorithm.RunTimeError = err;
_algorithm.Status = AlgorithmStatus.RuntimeError;
var locator = executingMarginCall ? "Portfolio.MarginCallModel.ExecuteMarginCall" : "OnMarginCall";
Log.Error(string.Format("AlgorithmManager.Run(): RuntimeError: {0}: ", locator) + err);
return;
}
}
// we didn't perform a margin call, but got the warning flag back, so issue the warning to the algorithm
else if (issueMarginCallWarning)
{
try
{
algorithm.OnMarginCallWarning();
}
catch (Exception err)
{
algorithm.RunTimeError = err;
_algorithm.Status = AlgorithmStatus.RuntimeError;
Log.Error("AlgorithmManager.Run(): RuntimeError: OnMarginCallWarning: " + err);
return;
}
}
nextMarginCallTime = time + marginCallFrequency;
}
// perform check for settlement of unsettled funds
if (time >= nextSettlementScanTime || (_liveMode && nextSettlementScanTime > DateTime.UtcNow))
{
algorithm.Portfolio.ScanForCashSettlement(algorithm.UtcTime);
nextSettlementScanTime = time + settlementScanFrequency;
}
// before we call any events, let the algorithm know about universe changes
if (timeSlice.SecurityChanges != SecurityChanges.None)
{
try
{
algorithm.OnSecuritiesChanged(timeSlice.SecurityChanges);
}
catch (Exception err)
{
algorithm.RunTimeError = err;
_algorithm.Status = AlgorithmStatus.RuntimeError;
Log.Error("AlgorithmManager.Run(): RuntimeError: OnSecuritiesChanged event: " + err);
return;
}
}
// apply dividends
foreach (var dividend in timeSlice.Slice.Dividends.Values)
{
Log.Trace("AlgorithmManager.Run(): Applying Dividend for " + dividend.Symbol.ToString(), true);
algorithm.Portfolio.ApplyDividend(dividend);
}
// apply splits
foreach (var split in timeSlice.Slice.Splits.Values)
{
try
{
Log.Trace("AlgorithmManager.Run(): Applying Split for " + split.Symbol.ToString(), true);
algorithm.Portfolio.ApplySplit(split);
// apply the split to open orders as well in raw mode, all other modes are split adjusted
if (_liveMode || algorithm.Securities[split.Symbol].SubscriptionDataConfig.DataNormalizationMode == DataNormalizationMode.Raw)
{
// in live mode we always want to have our order match the order at the brokerage, so apply the split to the orders
var openOrders = transactions.GetOrderTickets(ticket => ticket.Status.IsOpen() && ticket.Symbol == split.Symbol);
algorithm.BrokerageModel.ApplySplit(openOrders.ToList(), split);
}
}
catch (Exception err)
{
algorithm.RunTimeError = err;
_algorithm.Status = AlgorithmStatus.RuntimeError;
Log.Error("AlgorithmManager.Run(): RuntimeError: Split event: " + err);
return;
}
}
//Update registered consolidators for this symbol index
try
{
foreach (var kvp in timeSlice.ConsolidatorUpdateData)
{
var consolidators = kvp.Key.Consolidators;
foreach (var dataPoint in kvp.Value)
{
foreach (var consolidator in consolidators)
{
consolidator.Update(dataPoint);
}
}
}
}
catch (Exception err)
{
algorithm.RunTimeError = err;
_algorithm.Status = AlgorithmStatus.RuntimeError;
Log.Error("AlgorithmManager.Run(): RuntimeError: Consolidators update: " + err);
return;
}
// fire custom event handlers
foreach (var kvp in timeSlice.CustomData)
{
MethodInvoker methodInvoker;
var type = kvp.Key.SubscriptionDataConfig.Type;
if (!methodInvokers.TryGetValue(type, out methodInvoker))
{
continue;
}
try
{
foreach (var dataPoint in kvp.Value)
{
if (type.IsInstanceOfType(dataPoint))
{
methodInvoker(algorithm, dataPoint);
}
}
}
catch (Exception err)
{
algorithm.RunTimeError = err;
_algorithm.Status = AlgorithmStatus.RuntimeError;
Log.Error("AlgorithmManager.Run(): RuntimeError: Custom Data: " + err);
return;
}
}
try
{
// fire off the dividend and split events before pricing events
if (hasOnDataDividends && timeSlice.Slice.Dividends.Count != 0)
{
methodInvokers[typeof(Dividends)](algorithm, timeSlice.Slice.Dividends);
}
if (hasOnDataSplits && timeSlice.Slice.Splits.Count != 0)
{
methodInvokers[typeof(Splits)](algorithm, timeSlice.Slice.Splits);
}
if (hasOnDataDelistings && timeSlice.Slice.Delistings.Count != 0)
{
methodInvokers[typeof(Delistings)](algorithm, timeSlice.Slice.Delistings);
}
}
catch (Exception err)
{
algorithm.RunTimeError = err;
_algorithm.Status = AlgorithmStatus.RuntimeError;
Log.Error("AlgorithmManager.Run(): RuntimeError: Dividends/Splits/Delistings: " + err);
return;
}
// run the delisting logic after firing delisting events
HandleDelistedSymbols(algorithm, timeSlice.Slice.Delistings, delistingTickets);
//After we've fired all other events in this second, fire the pricing events:
try
{
if (hasOnDataTradeBars && timeSlice.Slice.Bars.Count > 0)
{
methodInvokers[typeof(TradeBars)](algorithm, timeSlice.Slice.Bars);
}
if (hasOnDataTicks && timeSlice.Slice.Ticks.Count > 0)
{
methodInvokers[typeof(Ticks)](algorithm, timeSlice.Slice.Ticks);
}
}
catch (Exception err)
{
algorithm.RunTimeError = err;
_algorithm.Status = AlgorithmStatus.RuntimeError;
Log.Error("AlgorithmManager.Run(): RuntimeError: New Style Mode: " + err);
return;
}
try
{
if (timeSlice.Slice.HasData)
{
// EVENT HANDLER v3.0 -- all data in a single event
algorithm.OnData(timeSlice.Slice);
}
}
catch (Exception err)
{
algorithm.RunTimeError = err;
_algorithm.Status = AlgorithmStatus.RuntimeError;
Log.Error("AlgorithmManager.Run(): RuntimeError: Slice: " + err);
return;
}
//If its the historical/paper trading models, wait until market orders have been "filled"
// Manually trigger the event handler to prevent thread switch.
transactions.ProcessSynchronousEvents();
//Save the previous time for the sample calculations
_previousTime = time;
// Process any required events of the results handler such as sampling assets, equity, or stock prices.
results.ProcessSynchronousEvents();
} // End of ForEach feed.Bridge.GetConsumingEnumerable
// stop timing the loops
_currentTimeStepTime = DateTime.MinValue;
//Stream over:: Send the final packet and fire final events:
Log.Trace("AlgorithmManager.Run(): Firing On End Of Algorithm...");
try
{
algorithm.OnEndOfAlgorithm();
}
catch (Exception err)
{
_algorithm.Status = AlgorithmStatus.RuntimeError;
algorithm.RunTimeError = new Exception("Error running OnEndOfAlgorithm(): " + err.Message, err.InnerException);
Log.Error("AlgorithmManager.OnEndOfAlgorithm(): " + err);
return;
}
// Process any required events of the results handler such as sampling assets, equity, or stock prices.
results.ProcessSynchronousEvents(forceProcess: true);
//Liquidate Holdings for Calculations:
if (_algorithm.Status == AlgorithmStatus.Liquidated && _liveMode)
{
Log.Trace("AlgorithmManager.Run(): Liquidating algorithm holdings...");
algorithm.Liquidate();
results.LogMessage("Algorithm Liquidated");
results.SendStatusUpdate(job.AlgorithmId, AlgorithmStatus.Liquidated);
}
//Manually stopped the algorithm
if (_algorithm.Status == AlgorithmStatus.Stopped)
{
Log.Trace("AlgorithmManager.Run(): Stopping algorithm...");
results.LogMessage("Algorithm Stopped");
results.SendStatusUpdate(job.AlgorithmId, AlgorithmStatus.Stopped);
}
//Backtest deleted.
if (_algorithm.Status == AlgorithmStatus.Deleted)
{
Log.Trace("AlgorithmManager.Run(): Deleting algorithm...");
results.DebugMessage("Algorithm Id:(" + job.AlgorithmId + ") Deleted by request.");
results.SendStatusUpdate(job.AlgorithmId, AlgorithmStatus.Deleted);
}
//Algorithm finished, send regardless of commands:
results.SendStatusUpdate(job.AlgorithmId, AlgorithmStatus.Completed);
//Take final samples:
results.SampleRange(algorithm.GetChartUpdates());
results.SampleEquity(_previousTime, Math.Round(algorithm.Portfolio.TotalPortfolioValue, 4));
SampleBenchmark(algorithm, results, _previousTime);
results.SamplePerformance(_previousTime, Math.Round((algorithm.Portfolio.TotalPortfolioValue - portfolioValue) * 100 / portfolioValue, 10));
} // End of Run();
/********************************************************
* CLASS METHODS
*********************************************************/
/// <summary>
/// Launch the algorithm manager to run this strategy
/// </summary>
/// <param name="job">Algorithm job</param>
/// <param name="algorithm">Algorithm instance</param>
/// <param name="feed">Datafeed object</param>
/// <param name="transactions">Transaction manager object</param>
/// <param name="results">Result handler object</param>
/// <param name="setup">Setup handler object</param>
/// <param name="realtime">Realtime processing object</param>
/// <remarks>Modify with caution</remarks>
public static void Run(AlgorithmNodePacket job, IAlgorithm algorithm, IDataFeed feed, ITransactionHandler transactions, IResultHandler results, ISetupHandler setup, IRealTimeHandler realtime)
{
//Initialize:
var backwardsCompatibilityMode = false;
var tradebarsType = typeof (TradeBars);
var ticksType = typeof(Ticks);
var startingPerformance = setup.StartingCapital;
var backtestMode = (job.Type == PacketType.BacktestNode);
var methodInvokers = new Dictionary<Type, MethodInvoker>();
//Initialize Properties:
_frontier = setup.StartingDate;
_runtimeError = null;
_algorithmId = job.AlgorithmId;
_algorithmState = AlgorithmStatus.Running;
_previousTime = setup.StartingDate.Date;
//Create the method accessors to push generic types into algorithm: Find all OnData events:
//Algorithm 1.0 Data Accessors.
//If the users defined these methods, add them in manually. This allows keeping backwards compatibility to algorithm 1.0.
var oldTradeBarsMethodInfo = (algorithm.GetType()).GetMethod("OnTradeBar", new[] { typeof(Dictionary<string, TradeBar>) });
var oldTicksMethodInfo = (algorithm.GetType()).GetMethod("OnTick", new[] { typeof(Dictionary<string, List<Tick>>) });
//Algorithm 2.0 Data Generics Accessors.
//New hidden access to tradebars with custom type.
var newTradeBarsMethodInfo = (algorithm.GetType()).GetMethod("OnData", new[] { tradebarsType });
var newTicksMethodInfo = (algorithm.GetType()).GetMethod("OnData", new[] { ticksType });
if (newTradeBarsMethodInfo == null && newTicksMethodInfo == null)
{
backwardsCompatibilityMode = true;
if (oldTradeBarsMethodInfo != null) methodInvokers.Add(tradebarsType, oldTradeBarsMethodInfo.DelegateForCallMethod());
if (oldTradeBarsMethodInfo != null) methodInvokers.Add(ticksType, oldTicksMethodInfo.DelegateForCallMethod());
}
else
{
backwardsCompatibilityMode = false;
if (newTradeBarsMethodInfo != null) methodInvokers.Add(tradebarsType, newTradeBarsMethodInfo.DelegateForCallMethod());
if (newTicksMethodInfo != null) methodInvokers.Add(ticksType, newTicksMethodInfo.DelegateForCallMethod());
}
//Go through the subscription types and create invokers to trigger the event handlers for each custom type:
foreach (var config in feed.Subscriptions)
{
//If type is a tradebar, combine tradebars and ticks into unified array:
if (config.Type.Name != "TradeBar" && config.Type.Name != "Tick")
{
//Get the matching method for this event handler - e.g. public void OnData(Quandl data) { .. }
var genericMethod = (algorithm.GetType()).GetMethod("OnData", new[] { config.Type });
//Is we already have this Type-handler then don't add it to invokers again.
if (methodInvokers.ContainsKey(config.Type)) continue;
//If we couldnt find the event handler, let the user know we can't fire that event.
if (genericMethod == null)
{
_runtimeError = new Exception("Data event handler not found, please create a function matching this template: public void OnData(" + config.Type.Name + " data) { }");
_algorithmState = AlgorithmStatus.RuntimeError;
return;
}
methodInvokers.Add(config.Type, genericMethod.DelegateForCallMethod());
}
}
//Loop over the queues: get a data collection, then pass them all into relevent methods in the algorithm.
Log.Debug("AlgorithmManager.Run(): Algorithm initialized, launching time loop.");
foreach (var newData in DataStream.GetData(feed, setup.StartingDate))
{
//Check this backtest is still running:
if (_algorithmState != AlgorithmStatus.Running) break;
//Go over each time stamp we've collected, pass it into the algorithm in order:
foreach (var time in newData.Keys)
{
//Set the time frontier:
_frontier = time;
//Execute with TimeLimit Monitor:
if (Isolator.IsCancellationRequested) return;
//Refresh the realtime event monitor:
realtime.SetTime(time);
//Fire EOD if the time packet we just processed is greater
if (backtestMode && _previousTime.Date != time.Date)
{
//Sample the portfolio value over time for chart.
results.SampleEquity(_previousTime, Math.Round(algorithm.Portfolio.TotalPortfolioValue, 4));
if (startingPerformance == 0)
{
results.SamplePerformance(_previousTime.Date, 0);
}
else
{
results.SamplePerformance(_previousTime.Date, Math.Round((algorithm.Portfolio.TotalPortfolioValue - startingPerformance) * 100 / startingPerformance, 10));
}
startingPerformance = algorithm.Portfolio.TotalPortfolioValue;
}
//Check if the user's signalled Quit: loop over data until day changes.
if (algorithm.GetQuit())
{
_algorithmState = AlgorithmStatus.Quit;
break;
}
//Pass in the new time first:
algorithm.SetDateTime(time);
//Trigger the data events: Invoke the types we have data for:
var oldBars = new Dictionary<string, TradeBar>();
var oldTicks = new Dictionary<string, List<Tick>>();
var newBars = new TradeBars(time);
var newTicks = new Ticks(time);
//Invoke all non-tradebars, non-ticks methods:
// --> i == Subscription Configuration Index, so we don't need to compare types.
foreach (var i in newData[time].Keys)
{
//Data point and config of this point:
var dataPoints = newData[time][i];
var config = feed.Subscriptions[i];
//Create TradeBars Unified Data --> OR --> invoke generic data event. One loop.
foreach (var dataPoint in dataPoints)
{
//Update the securities properties: first before calling user code to avoid issues with data
algorithm.Securities.Update(time, dataPoint);
//Update registered consolidators for this symbol index
for (var j = 0; j < config.Consolidators.Count; j++)
{
config.Consolidators[j].Update(dataPoint);
}
switch (config.Type.Name)
{
case "TradeBar":
var bar = dataPoint as TradeBar;
try
{
if (bar != null)
{
if (backwardsCompatibilityMode)
{
if (!oldBars.ContainsKey(bar.Symbol)) oldBars.Add(bar.Symbol, bar);
}
else
{
if (!newBars.ContainsKey(bar.Symbol)) newBars.Add(bar.Symbol, bar);
}
}
}
catch (Exception err)
{
Log.Error(time.ToLongTimeString() + " >> " + bar.Time.ToLongTimeString() + " >> " + bar.Symbol + " >> " + bar.Value.ToString("C"));
Log.Error("AlgorithmManager.Run(): Failed to add TradeBar (" + bar.Symbol + ") Time: (" + time.ToLongTimeString() + ") Count:(" + newBars.Count + ") " + err.Message);
}
break;
case "Tick":
var tick = dataPoint as Tick;
if (tick != null)
{
if (backwardsCompatibilityMode) {
if (!oldTicks.ContainsKey(tick.Symbol)) { oldTicks.Add(tick.Symbol, new List<Tick>()); }
oldTicks[tick.Symbol].Add(tick);
}
else
{
if (!newTicks.ContainsKey(tick.Symbol)) { newTicks.Add(tick.Symbol, new List<Tick>()); }
newTicks[tick.Symbol].Add(tick);
}
}
break;
default:
//Send data into the generic algorithm event handlers
try
{
methodInvokers[config.Type](algorithm, dataPoint);
}
catch (Exception err)
{
_runtimeError = err;
_algorithmState = AlgorithmStatus.RuntimeError;
Log.Debug("AlgorithmManager.Run(): RuntimeError: Custom Data: " + err.Message + " STACK >>> " + err.StackTrace);
return;
}
break;
}
}
}
//After we've fired all other events in this second, fire the pricing events:
if (backwardsCompatibilityMode)
{
//Log.Debug("AlgorithmManager.Run(): Invoking v1.0 Event Handlers...");
try
{
if (oldTradeBarsMethodInfo != null && oldBars.Count > 0) methodInvokers[tradebarsType](algorithm, oldBars);
if (oldTicksMethodInfo != null && oldTicks.Count > 0) methodInvokers[ticksType](algorithm, oldTicks);
}
catch (Exception err)
{
_runtimeError = err;
_algorithmState = AlgorithmStatus.RuntimeError;
Log.Debug("AlgorithmManager.Run(): RuntimeError: Backwards Compatibility Mode: " + err.Message + " STACK >>> " + err.StackTrace);
return;
}
}
else
{
//Log.Debug("AlgorithmManager.Run(): Invoking v2.0 Event Handlers...");
try
{
if (newTradeBarsMethodInfo != null && newBars.Count > 0) methodInvokers[tradebarsType](algorithm, newBars);
if (newTicksMethodInfo != null && newTicks.Count > 0) methodInvokers[ticksType](algorithm, newTicks);
}
catch (Exception err)
{
_runtimeError = err;
_algorithmState = AlgorithmStatus.RuntimeError;
Log.Debug("AlgorithmManager.Run(): RuntimeError: New Style Mode: " + err.Message + " STACK >>> " + err.StackTrace);
return;
}
}
//If its the historical/paper trading models, wait until market orders have been "filled"
// Manually trigger the event handler to prevent thread switch.
transactions.ProcessSynchronousEvents();
//Save the previous time for the sample calculations
_previousTime = time;
} // End of Time Loop
// Process any required events of the results handler such as sampling assets, equity, or stock prices.
results.ProcessSynchronousEvents();
} // End of ForEach DataStream
//Stream over:: Send the final packet and fire final events:
Log.Trace("AlgorithmManager.Run(): Firing On End Of Algorithm...");
try
{
algorithm.OnEndOfAlgorithm();
}
catch (Exception err)
{
_algorithmState = AlgorithmStatus.RuntimeError;
_runtimeError = new Exception("Error running OnEndOfAlgorithm(): " + err.Message, err.InnerException);
Log.Debug("AlgorithmManager.OnEndOfAlgorithm(): " + err.Message + " STACK >>> " + err.StackTrace);
return;
}
// Process any required events of the results handler such as sampling assets, equity, or stock prices.
results.ProcessSynchronousEvents(forceProcess: true);
//Liquidate Holdings for Calculations:
if (_algorithmState == AlgorithmStatus.Liquidated || !Engine.LiveMode)
{
Log.Trace("AlgorithmManager.Run(): Liquidating algorithm holdings...");
algorithm.Liquidate();
results.LogMessage("Algorithm Liquidated");
results.SendStatusUpdate(job.AlgorithmId, AlgorithmStatus.Liquidated);
}
//Manually stopped the algorithm
if (_algorithmState == AlgorithmStatus.Stopped)
{
Log.Trace("AlgorithmManager.Run(): Stopping algorithm...");
results.LogMessage("Algorithm Stopped");
results.SendStatusUpdate(job.AlgorithmId, AlgorithmStatus.Stopped);
}
//Backtest deleted.
if (_algorithmState == AlgorithmStatus.Deleted)
{
Log.Trace("AlgorithmManager.Run(): Deleting algorithm...");
results.DebugMessage("Algorithm Id:(" + job.AlgorithmId + ") Deleted by request.");
results.SendStatusUpdate(job.AlgorithmId, AlgorithmStatus.Deleted);
}
//Algorithm finished, send regardless of commands:
results.SendStatusUpdate(job.AlgorithmId, AlgorithmStatus.Completed);
//Take final samples:
results.SampleRange(algorithm.GetChartUpdates());
results.SampleEquity(_frontier, Math.Round(algorithm.Portfolio.TotalPortfolioValue, 4));
results.SamplePerformance(_frontier, Math.Round((algorithm.Portfolio.TotalPortfolioValue - startingPerformance) * 100 / startingPerformance, 10));
}
/********************************************************
* CLASS METHODS
*********************************************************/
/// <summary>
/// Launch the algorithm manager to run this strategy
/// </summary>
/// <param name="job">Algorithm job</param>
/// <param name="algorithm">Algorithm instance</param>
/// <param name="feed">Datafeed object</param>
/// <param name="transactions">Transaction manager object</param>
/// <param name="results">Result handler object</param>
/// <param name="setup">Setup handler object</param>
/// <param name="realtime">Realtime processing object</param>
/// <remarks>Modify with caution</remarks>
public static void Run(AlgorithmNodePacket job, IAlgorithm algorithm, IDataFeed feed, ITransactionHandler transactions, IResultHandler results, ISetupHandler setup, IRealTimeHandler realtime)
{
//Initialize:
var backwardsCompatibilityMode = false;
var tradebarsType = typeof(TradeBars);
var ticksType = typeof(Ticks);
var startingPerformance = setup.StartingCapital;
var backtestMode = (job.Type == PacketType.BacktestNode);
var methodInvokers = new Dictionary <Type, MethodInvoker>();
//Initialize Properties:
_frontier = setup.StartingDate;
_runtimeError = null;
_algorithmId = job.AlgorithmId;
_algorithmState = AlgorithmStatus.Running;
_previousTime = setup.StartingDate.Date;
//Create the method accessors to push generic types into algorithm: Find all OnData events:
//Algorithm 1.0 Data Accessors.
//If the users defined these methods, add them in manually. This allows keeping backwards compatibility to algorithm 1.0.
var oldTradeBarsMethodInfo = (algorithm.GetType()).GetMethod("OnTradeBar", new[] { typeof(Dictionary <string, TradeBar>) });
var oldTicksMethodInfo = (algorithm.GetType()).GetMethod("OnTick", new[] { typeof(Dictionary <string, List <Tick> >) });
//Algorithm 2.0 Data Generics Accessors.
//New hidden access to tradebars with custom type.
var newTradeBarsMethodInfo = (algorithm.GetType()).GetMethod("OnData", new[] { tradebarsType });
var newTicksMethodInfo = (algorithm.GetType()).GetMethod("OnData", new[] { ticksType });
if (newTradeBarsMethodInfo == null && newTicksMethodInfo == null)
{
backwardsCompatibilityMode = true;
if (oldTradeBarsMethodInfo != null)
{
methodInvokers.Add(tradebarsType, oldTradeBarsMethodInfo.DelegateForCallMethod());
}
if (oldTradeBarsMethodInfo != null)
{
methodInvokers.Add(ticksType, oldTicksMethodInfo.DelegateForCallMethod());
}
}
else
{
backwardsCompatibilityMode = false;
if (newTradeBarsMethodInfo != null)
{
methodInvokers.Add(tradebarsType, newTradeBarsMethodInfo.DelegateForCallMethod());
}
if (newTicksMethodInfo != null)
{
methodInvokers.Add(ticksType, newTicksMethodInfo.DelegateForCallMethod());
}
}
//Go through the subscription types and create invokers to trigger the event handlers for each custom type:
foreach (var config in feed.Subscriptions)
{
//If type is a tradebar, combine tradebars and ticks into unified array:
if (config.Type.Name != "TradeBar" && config.Type.Name != "Tick")
{
//Get the matching method for this event handler - e.g. public void OnData(Quandl data) { .. }
var genericMethod = (algorithm.GetType()).GetMethod("OnData", new[] { config.Type });
//Is we already have this Type-handler then don't add it to invokers again.
if (methodInvokers.ContainsKey(config.Type))
{
continue;
}
//If we couldnt find the event handler, let the user know we can't fire that event.
if (genericMethod == null)
{
_runtimeError = new Exception("Data event handler not found, please create a function matching this template: public void OnData(" + config.Type.Name + " data) { }");
_algorithmState = AlgorithmStatus.RuntimeError;
return;
}
methodInvokers.Add(config.Type, genericMethod.DelegateForCallMethod());
}
}
//Loop over the queues: get a data collection, then pass them all into relevent methods in the algorithm.
Log.Debug("AlgorithmManager.Run(): Algorithm initialized, launching time loop.");
foreach (var newData in DataStream.GetData(feed, setup.StartingDate))
{
//Check this backtest is still running:
if (_algorithmState != AlgorithmStatus.Running)
{
break;
}
//Go over each time stamp we've collected, pass it into the algorithm in order:
foreach (var time in newData.Keys)
{
//Set the time frontier:
_frontier = time;
//Execute with TimeLimit Monitor:
if (Isolator.IsCancellationRequested)
{
return;
}
//Refresh the realtime event monitor:
realtime.SetTime(time);
//Fire EOD if the time packet we just processed is greater
if (backtestMode && _previousTime.Date != time.Date)
{
//Sample the portfolio value over time for chart.
results.SampleEquity(_previousTime, Math.Round(algorithm.Portfolio.TotalPortfolioValue, 4));
if (startingPerformance == 0)
{
results.SamplePerformance(_previousTime.Date, 0);
}
else
{
results.SamplePerformance(_previousTime.Date, Math.Round((algorithm.Portfolio.TotalPortfolioValue - startingPerformance) * 100 / startingPerformance, 10));
}
startingPerformance = algorithm.Portfolio.TotalPortfolioValue;
}
//Check if the user's signalled Quit: loop over data until day changes.
if (algorithm.GetQuit())
{
_algorithmState = AlgorithmStatus.Quit;
break;
}
//Pass in the new time first:
algorithm.SetDateTime(time);
//Trigger the data events: Invoke the types we have data for:
var oldBars = new Dictionary <string, TradeBar>();
var oldTicks = new Dictionary <string, List <Tick> >();
var newBars = new TradeBars(time);
var newTicks = new Ticks(time);
//Invoke all non-tradebars, non-ticks methods:
// --> i == Subscription Configuration Index, so we don't need to compare types.
foreach (var i in newData[time].Keys)
{
//Data point and config of this point:
var dataPoints = newData[time][i];
var config = feed.Subscriptions[i];
//Create TradeBars Unified Data --> OR --> invoke generic data event. One loop.
foreach (var dataPoint in dataPoints)
{
//Update the securities properties: first before calling user code to avoid issues with data
algorithm.Securities.Update(time, dataPoint);
//Update registered consolidators for this symbol index
for (var j = 0; j < config.Consolidators.Count; j++)
{
config.Consolidators[j].Update(dataPoint);
}
switch (config.Type.Name)
{
case "TradeBar":
var bar = dataPoint as TradeBar;
try
{
if (bar != null)
{
if (backwardsCompatibilityMode)
{
if (!oldBars.ContainsKey(bar.Symbol))
{
oldBars.Add(bar.Symbol, bar);
}
}
else
{
if (!newBars.ContainsKey(bar.Symbol))
{
newBars.Add(bar.Symbol, bar);
}
}
}
}
catch (Exception err)
{
Log.Error(time.ToLongTimeString() + " >> " + bar.Time.ToLongTimeString() + " >> " + bar.Symbol + " >> " + bar.Value.ToString("C"));
Log.Error("AlgorithmManager.Run(): Failed to add TradeBar (" + bar.Symbol + ") Time: (" + time.ToLongTimeString() + ") Count:(" + newBars.Count + ") " + err.Message);
}
break;
case "Tick":
var tick = dataPoint as Tick;
if (tick != null)
{
if (backwardsCompatibilityMode)
{
if (!oldTicks.ContainsKey(tick.Symbol))
{
oldTicks.Add(tick.Symbol, new List <Tick>());
}
oldTicks[tick.Symbol].Add(tick);
}
else
{
if (!newTicks.ContainsKey(tick.Symbol))
{
newTicks.Add(tick.Symbol, new List <Tick>());
}
newTicks[tick.Symbol].Add(tick);
}
}
break;
default:
//Send data into the generic algorithm event handlers
try
{
methodInvokers[config.Type](algorithm, dataPoint);
}
catch (Exception err)
{
_runtimeError = err;
_algorithmState = AlgorithmStatus.RuntimeError;
Log.Error("AlgorithmManager.Run(): RuntimeError: Custom Data: " + err.Message + " STACK >>> " + err.StackTrace);
return;
}
break;
}
}
}
//After we've fired all other events in this second, fire the pricing events:
if (backwardsCompatibilityMode)
{
//Log.Debug("AlgorithmManager.Run(): Invoking v1.0 Event Handlers...");
try
{
if (oldTradeBarsMethodInfo != null && oldBars.Count > 0)
{
methodInvokers[tradebarsType](algorithm, oldBars);
}
if (oldTicksMethodInfo != null && oldTicks.Count > 0)
{
methodInvokers[ticksType](algorithm, oldTicks);
}
}
catch (Exception err)
{
_runtimeError = err;
_algorithmState = AlgorithmStatus.RuntimeError;
Log.Error("AlgorithmManager.Run(): RuntimeError: Backwards Compatibility Mode: " + err.Message + " STACK >>> " + err.StackTrace);
return;
}
}
else
{
//Log.Debug("AlgorithmManager.Run(): Invoking v2.0 Event Handlers...");
try
{
if (newTradeBarsMethodInfo != null && newBars.Count > 0)
{
methodInvokers[tradebarsType](algorithm, newBars);
}
if (newTicksMethodInfo != null && newTicks.Count > 0)
{
methodInvokers[ticksType](algorithm, newTicks);
}
}
catch (Exception err)
{
_runtimeError = err;
_algorithmState = AlgorithmStatus.RuntimeError;
Log.Error("AlgorithmManager.Run(): RuntimeError: New Style Mode: " + err.Message + " STACK >>> " + err.StackTrace);
return;
}
}
//If its the historical/paper trading models, wait until market orders have been "filled"
// Manually trigger the event handler to prevent thread switch.
transactions.ProcessSynchronousEvents();
//Save the previous time for the sample calculations
_previousTime = time;
} // End of Time Loop
// Process any required events of the results handler such as sampling assets, equity, or stock prices.
results.ProcessSynchronousEvents();
} // End of ForEach DataStream
//Stream over:: Send the final packet and fire final events:
Log.Trace("AlgorithmManager.Run(): Firing On End Of Algorithm...");
try
{
algorithm.OnEndOfAlgorithm();
}
catch (Exception err)
{
_runtimeError = new Exception("Error running OnEndOfAlgorithm(): " + err.Message, err.InnerException);
_algorithmState = AlgorithmStatus.RuntimeError;
return;
}
// Process any required events of the results handler such as sampling assets, equity, or stock prices.
results.ProcessSynchronousEvents();
//Liquidate Holdings for Calculations:
if (_algorithmState == AlgorithmStatus.Liquidated || !Engine.LiveMode)
{
Log.Trace("AlgorithmManager.Run(): Liquidating algorithm holdings...");
algorithm.Liquidate();
results.SendStatusUpdate(job.AlgorithmId, AlgorithmStatus.Liquidated);
}
//Manually stopped the algorithm
if (_algorithmState == AlgorithmStatus.Stopped)
{
Log.Trace("AlgorithmManager.Run(): Stopping algorithm...");
results.SendStatusUpdate(job.AlgorithmId, AlgorithmStatus.Stopped);
}
//Backtest deleted.
if (_algorithmState == AlgorithmStatus.Deleted)
{
Log.Trace("AlgorithmManager.Run(): Deleting algorithm...");
results.DebugMessage("Algorithm Id:(" + job.AlgorithmId + ") Deleted by request.");
results.SendStatusUpdate(job.AlgorithmId, AlgorithmStatus.Deleted);
}
//Algorithm finished, send regardless of commands:
results.SendStatusUpdate(job.AlgorithmId, AlgorithmStatus.Completed);
//Take final samples:
results.SampleRange(algorithm.GetChartUpdates());
results.SampleEquity(_frontier, Math.Round(algorithm.Portfolio.TotalPortfolioValue, 4));
results.SamplePerformance(_frontier, Math.Round((algorithm.Portfolio.TotalPortfolioValue - startingPerformance) * 100 / startingPerformance, 10));
} // End of Run();
/// <summary>
/// Launch the algorithm manager to run this strategy
/// </summary>
/// <param name="job">Algorithm job</param>
/// <param name="algorithm">Algorithm instance</param>
/// <param name="feed">Datafeed object</param>
/// <param name="transactions">Transaction manager object</param>
/// <param name="results">Result handler object</param>
/// <param name="realtime">Realtime processing object</param>
/// <param name="token">Cancellation token</param>
/// <remarks>Modify with caution</remarks>
public void Run(AlgorithmNodePacket job, IAlgorithm algorithm, IDataFeed feed, ITransactionHandler transactions, IResultHandler results, IRealTimeHandler realtime, CancellationToken token)
{
//Initialize:
_dataPointCount = 0;
var startingPortfolioValue = algorithm.Portfolio.TotalPortfolioValue;
var backtestMode = (job.Type == PacketType.BacktestNode);
var methodInvokers = new Dictionary <Type, MethodInvoker>();
var marginCallFrequency = TimeSpan.FromMinutes(5);
var nextMarginCallTime = DateTime.MinValue;
var delistingTickets = new List <OrderTicket>();
//Initialize Properties:
_algorithmId = job.AlgorithmId;
_algorithmState = AlgorithmStatus.Running;
_previousTime = algorithm.StartDate.Date;
//Create the method accessors to push generic types into algorithm: Find all OnData events:
// Algorithm 2.0 data accessors
var hasOnDataTradeBars = AddMethodInvoker <TradeBars>(algorithm, methodInvokers);
var hasOnDataTicks = AddMethodInvoker <Ticks>(algorithm, methodInvokers);
// dividend and split events
var hasOnDataDividends = AddMethodInvoker <Dividends>(algorithm, methodInvokers);
var hasOnDataSplits = AddMethodInvoker <Splits>(algorithm, methodInvokers);
var hasOnDataDelistings = AddMethodInvoker <Delistings>(algorithm, methodInvokers);
// Algorithm 3.0 data accessors
var hasOnDataSlice = algorithm.GetType().GetMethods()
.Where(x => x.Name == "OnData" && x.GetParameters().Length == 1 && x.GetParameters()[0].ParameterType == typeof(Slice))
.FirstOrDefault(x => x.DeclaringType == algorithm.GetType()) != null;
//Go through the subscription types and create invokers to trigger the event handlers for each custom type:
foreach (var config in feed.Subscriptions)
{
//If type is a tradebar, combine tradebars and ticks into unified array:
if (config.Type.Name != "TradeBar" && config.Type.Name != "Tick")
{
//Get the matching method for this event handler - e.g. public void OnData(Quandl data) { .. }
var genericMethod = (algorithm.GetType()).GetMethod("OnData", new[] { config.Type });
//If we already have this Type-handler then don't add it to invokers again.
if (methodInvokers.ContainsKey(config.Type))
{
continue;
}
//If we couldnt find the event handler, let the user know we can't fire that event.
if (genericMethod == null && !hasOnDataSlice)
{
algorithm.RunTimeError = new Exception("Data event handler not found, please create a function matching this template: public void OnData(" + config.Type.Name + " data) { }");
_algorithmState = AlgorithmStatus.RuntimeError;
return;
}
if (genericMethod != null)
{
methodInvokers.Add(config.Type, genericMethod.DelegateForCallMethod());
}
}
}
//Loop over the queues: get a data collection, then pass them all into relevent methods in the algorithm.
Log.Trace("AlgorithmManager.Run(): Begin DataStream - Start: " + algorithm.StartDate + " Stop: " + algorithm.EndDate);
foreach (var timeSlice in feed.Bridge.GetConsumingEnumerable(token))
{
// reset our timer on each loop
_currentTimeStepTime = DateTime.UtcNow;
//Check this backtest is still running:
if (_algorithmState != AlgorithmStatus.Running)
{
Log.Error(string.Format("AlgorithmManager.Run(): Algorthm state changed to {0} at {1}", _algorithmState, timeSlice.Time));
break;
}
//Execute with TimeLimit Monitor:
if (token.IsCancellationRequested)
{
Log.Error("AlgorithmManager.Run(): CancellationRequestion at " + timeSlice.Time);
return;
}
var time = timeSlice.Time;
var newData = timeSlice.Data;
//If we're in backtest mode we need to capture the daily performance. We do this here directly
//before updating the algorithm state with the new data from this time step, otherwise we'll
//produce incorrect samples (they'll take into account this time step's new price values)
if (backtestMode)
{
//On day-change sample equity and daily performance for statistics calculations
if (_previousTime.Date != time.Date)
{
//Sample the portfolio value over time for chart.
results.SampleEquity(_previousTime, Math.Round(algorithm.Portfolio.TotalPortfolioValue, 4));
//Check for divide by zero
if (startingPortfolioValue == 0m)
{
results.SamplePerformance(_previousTime.Date, 0);
}
else
{
results.SamplePerformance(_previousTime.Date, Math.Round((algorithm.Portfolio.TotalPortfolioValue - startingPortfolioValue) * 100 / startingPortfolioValue, 10));
}
startingPortfolioValue = algorithm.Portfolio.TotalPortfolioValue;
}
}
//Update algorithm state after capturing performance from previous day
//Set the algorithm and real time handler's time
algorithm.SetDateTime(time);
realtime.SetTime(algorithm.Time);
//On each time step push the real time prices to the cashbook so we can have updated conversion rates
algorithm.Portfolio.CashBook.Update(newData);
//Update the securities properties: first before calling user code to avoid issues with data
algorithm.Securities.Update(time, newData);
// process fill models on the updated data before entering algorithm, applies to all non-market orders
transactions.ProcessSynchronousEvents();
if (delistingTickets.Count != 0)
{
for (int i = 0; i < delistingTickets.Count; i++)
{
var ticket = delistingTickets[i];
if (ticket.Status == OrderStatus.Filled)
{
algorithm.Securities.Remove(ticket.Symbol);
delistingTickets.RemoveAt(i--);
Log.Trace("AlgorithmManager.Run(): Security removed: " + ticket.Symbol);
}
}
}
//Check if the user's signalled Quit: loop over data until day changes.
if (algorithm.GetQuit())
{
_algorithmState = AlgorithmStatus.Quit;
Log.Trace("AlgorithmManager.Run(): Algorithm quit requested.");
break;
}
if (algorithm.RunTimeError != null)
{
_algorithmState = AlgorithmStatus.RuntimeError;
Log.Trace(string.Format("AlgorithmManager.Run(): Algorithm encountered a runtime error at {0}. Error: {1}", timeSlice.Time, algorithm.RunTimeError));
break;
}
// perform margin calls, in live mode we can also use realtime to emit these
if (time >= nextMarginCallTime || (_liveMode && nextMarginCallTime > DateTime.Now))
{
// determine if there are possible margin call orders to be executed
bool issueMarginCallWarning;
var marginCallOrders = algorithm.Portfolio.ScanForMarginCall(out issueMarginCallWarning);
if (marginCallOrders.Count != 0)
{
try
{
// tell the algorithm we're about to issue the margin call
algorithm.OnMarginCall(marginCallOrders);
}
catch (Exception err)
{
algorithm.RunTimeError = err;
_algorithmState = AlgorithmStatus.RuntimeError;
Log.Error("AlgorithmManager.Run(): RuntimeError: OnMarginCall: " + err.Message + " STACK >>> " + err.StackTrace);
return;
}
// execute the margin call orders
var executedTickets = algorithm.Portfolio.MarginCallModel.ExecuteMarginCall(marginCallOrders);
foreach (var ticket in executedTickets)
{
algorithm.Error(string.Format("{0} - Executed MarginCallOrder: {1} - Quantity: {2} @ {3}", algorithm.Time, ticket.Symbol, ticket.Quantity, ticket.OrderEvents.Last().FillPrice));
}
}
// we didn't perform a margin call, but got the warning flag back, so issue the warning to the algorithm
else if (issueMarginCallWarning)
{
try
{
algorithm.OnMarginCallWarning();
}
catch (Exception err)
{
algorithm.RunTimeError = err;
_algorithmState = AlgorithmStatus.RuntimeError;
Log.Error("AlgorithmManager.Run(): RuntimeError: OnMarginCallWarning: " + err.Message + " STACK >>> " + err.StackTrace);
}
}
nextMarginCallTime = time + marginCallFrequency;
}
//Trigger the data events: Invoke the types we have data for:
var newBars = new TradeBars(algorithm.Time);
var newTicks = new Ticks(algorithm.Time);
var newDividends = new Dividends(algorithm.Time);
var newSplits = new Splits(algorithm.Time);
var newDelistings = new Delistings(algorithm.Time);
//Invoke all non-tradebars, non-ticks methods and build up the TradeBars and Ticks dictionaries
// --> i == Subscription Configuration Index, so we don't need to compare types.
foreach (var i in newData.Keys)
{
//Data point and config of this point:
var dataPoints = newData[i];
var config = feed.Subscriptions[i];
//Keep track of how many data points we've processed
_dataPointCount += dataPoints.Count;
//We don't want to pump data that we added just for currency conversions
if (config.IsInternalFeed)
{
continue;
}
//Create TradeBars Unified Data --> OR --> invoke generic data event. One loop.
// Aggregate Dividends and Splits -- invoke portfolio application methods
foreach (var dataPoint in dataPoints)
{
var dividend = dataPoint as Dividend;
if (dividend != null)
{
Log.Trace("AlgorithmManager.Run(): Applying Dividend for " + dividend.Symbol);
// if this is a dividend apply to portfolio
algorithm.Portfolio.ApplyDividend(dividend);
if (hasOnDataDividends)
{
// and add to our data dictionary to pump into OnData(Dividends data)
newDividends.Add(dividend);
}
continue;
}
var split = dataPoint as Split;
if (split != null)
{
Log.Trace("AlgorithmManager.Run(): Applying Split for " + split.Symbol);
// if this is a split apply to portfolio
algorithm.Portfolio.ApplySplit(split);
if (hasOnDataSplits)
{
// and add to our data dictionary to pump into OnData(Splits data)
newSplits.Add(split);
}
continue;
}
var delisting = dataPoint as Delisting;
if (delisting != null)
{
if (hasOnDataDelistings)
{
// add to out data dictonary to pump into OnData(Delistings data)
newDelistings.Add(delisting);
}
}
//Update registered consolidators for this symbol index
try
{
for (var j = 0; j < config.Consolidators.Count; j++)
{
config.Consolidators[j].Update(dataPoint);
}
}
catch (Exception err)
{
algorithm.RunTimeError = err;
_algorithmState = AlgorithmStatus.RuntimeError;
Log.Error("AlgorithmManager.Run(): RuntimeError: Consolidators update: " + err.Message);
return;
}
// TRADEBAR -- add to our dictionary
if (dataPoint.DataType == MarketDataType.TradeBar)
{
var bar = dataPoint as TradeBar;
if (bar != null)
{
newBars[bar.Symbol] = bar;
continue;
}
}
// TICK -- add to our dictionary
if (dataPoint.DataType == MarketDataType.Tick)
{
var tick = dataPoint as Tick;
if (tick != null)
{
List <Tick> ticks;
if (!newTicks.TryGetValue(tick.Symbol, out ticks))
{
ticks = new List <Tick>(3);
newTicks.Add(tick.Symbol, ticks);
}
ticks.Add(tick);
continue;
}
}
// if it was nothing else then it must be custom data
// CUSTOM DATA -- invoke on data method
//Send data into the generic algorithm event handlers
try
{
MethodInvoker methodInvoker;
if (methodInvokers.TryGetValue(config.Type, out methodInvoker))
{
methodInvoker(algorithm, dataPoint);
}
}
catch (Exception err)
{
algorithm.RunTimeError = err;
_algorithmState = AlgorithmStatus.RuntimeError;
Log.Error("AlgorithmManager.Run(): RuntimeError: Custom Data: " + err.Message + " STACK >>> " + err.StackTrace);
return;
}
}
}
try
{
// fire off the dividend and split events before pricing events
if (hasOnDataDividends && newDividends.Count != 0)
{
methodInvokers[typeof(Dividends)](algorithm, newDividends);
}
if (hasOnDataSplits && newSplits.Count != 0)
{
methodInvokers[typeof(Splits)](algorithm, newSplits);
}
if (hasOnDataDelistings && newDelistings.Count != 0)
{
methodInvokers[typeof(Delistings)](algorithm, newDelistings);
}
}
catch (Exception err)
{
algorithm.RunTimeError = err;
_algorithmState = AlgorithmStatus.RuntimeError;
Log.Error("AlgorithmManager.Run(): RuntimeError: Dividends/Splits/Delistings: " + err.Message + " STACK >>> " + err.StackTrace);
return;
}
// run the delisting logic after firing delisting events
HandleDelistedSymbols(algorithm, newDelistings, delistingTickets);
//After we've fired all other events in this second, fire the pricing events:
try
{
if (hasOnDataTradeBars && newBars.Count > 0)
{
methodInvokers[typeof(TradeBars)](algorithm, newBars);
}
if (hasOnDataTicks && newTicks.Count > 0)
{
methodInvokers[typeof(Ticks)](algorithm, newTicks);
}
}
catch (Exception err)
{
algorithm.RunTimeError = err;
_algorithmState = AlgorithmStatus.RuntimeError;
Log.Error("AlgorithmManager.Run(): RuntimeError: New Style Mode: " + err.Message + " STACK >>> " + err.StackTrace);
return;
}
// EVENT HANDLER v3.0 -- all data in a single event
var slice = new Slice(algorithm.Time, newData.Values.SelectMany(x => x),
newBars.Count == 0 ? null : newBars,
newTicks.Count == 0 ? null : newTicks,
newSplits.Count == 0 ? null : newSplits,
newDividends.Count == 0 ? null : newDividends,
newDelistings.Count == 0 ? null : newDelistings
);
try
{
algorithm.OnData(slice);
}
catch (Exception err)
{
algorithm.RunTimeError = err;
_algorithmState = AlgorithmStatus.RuntimeError;
Log.Error("AlgorithmManager.Run(): RuntimeError: Slice: " + err.Message + " STACK >>> " + err.StackTrace);
return;
}
//If its the historical/paper trading models, wait until market orders have been "filled"
// Manually trigger the event handler to prevent thread switch.
transactions.ProcessSynchronousEvents();
//Save the previous time for the sample calculations
_previousTime = time;
// Process any required events of the results handler such as sampling assets, equity, or stock prices.
results.ProcessSynchronousEvents();
} // End of ForEach feed.Bridge.GetConsumingEnumerable
// stop timing the loops
_currentTimeStepTime = DateTime.MinValue;
//Stream over:: Send the final packet and fire final events:
Log.Trace("AlgorithmManager.Run(): Firing On End Of Algorithm...");
try
{
algorithm.OnEndOfAlgorithm();
}
catch (Exception err)
{
_algorithmState = AlgorithmStatus.RuntimeError;
algorithm.RunTimeError = new Exception("Error running OnEndOfAlgorithm(): " + err.Message, err.InnerException);
Log.Error("AlgorithmManager.OnEndOfAlgorithm(): " + err.Message + " STACK >>> " + err.StackTrace);
return;
}
// Process any required events of the results handler such as sampling assets, equity, or stock prices.
results.ProcessSynchronousEvents(forceProcess: true);
//Liquidate Holdings for Calculations:
if (_algorithmState == AlgorithmStatus.Liquidated && _liveMode)
{
Log.Trace("AlgorithmManager.Run(): Liquidating algorithm holdings...");
algorithm.Liquidate();
results.LogMessage("Algorithm Liquidated");
results.SendStatusUpdate(job.AlgorithmId, AlgorithmStatus.Liquidated);
}
//Manually stopped the algorithm
if (_algorithmState == AlgorithmStatus.Stopped)
{
Log.Trace("AlgorithmManager.Run(): Stopping algorithm...");
results.LogMessage("Algorithm Stopped");
results.SendStatusUpdate(job.AlgorithmId, AlgorithmStatus.Stopped);
}
//Backtest deleted.
if (_algorithmState == AlgorithmStatus.Deleted)
{
Log.Trace("AlgorithmManager.Run(): Deleting algorithm...");
results.DebugMessage("Algorithm Id:(" + job.AlgorithmId + ") Deleted by request.");
results.SendStatusUpdate(job.AlgorithmId, AlgorithmStatus.Deleted);
}
//Algorithm finished, send regardless of commands:
results.SendStatusUpdate(job.AlgorithmId, AlgorithmStatus.Completed);
//Take final samples:
results.SampleRange(algorithm.GetChartUpdates());
results.SampleEquity(_previousTime, Math.Round(algorithm.Portfolio.TotalPortfolioValue, 4));
results.SamplePerformance(_previousTime, Math.Round((algorithm.Portfolio.TotalPortfolioValue - startingPortfolioValue) * 100 / startingPortfolioValue, 10));
} // End of Run();
/********************************************************
* CLASS METHODS
*********************************************************/
/// <summary>
/// Launch the algorithm manager to run this strategy
/// </summary>
/// <param name="job">Algorithm job</param>
/// <param name="algorithm">Algorithm instance</param>
/// <param name="feed">Datafeed object</param>
/// <param name="transactions">Transaction manager object</param>
/// <param name="results">Result handler object</param>
/// <param name="setup">Setup handler object</param>
/// <param name="realtime">Realtime processing object</param>
/// <remarks>Modify with caution</remarks>
public static void Run(AlgorithmNodePacket job, IAlgorithm algorithm, IDataFeed feed, ITransactionHandler transactions, IResultHandler results, ISetupHandler setup, IRealTimeHandler realtime)
{
//Initialize:
_dataPointCount = 0;
var startingPortfolioValue = setup.StartingCapital;
var backtestMode = (job.Type == PacketType.BacktestNode);
var methodInvokers = new Dictionary <Type, MethodInvoker>();
var marginCallFrequency = TimeSpan.FromMinutes(5);
var nextMarginCallTime = DateTime.MinValue;
//Initialize Properties:
_frontier = setup.StartingDate;
_algorithmId = job.AlgorithmId;
_algorithmState = AlgorithmStatus.Running;
_previousTime = setup.StartingDate.Date;
//Create the method accessors to push generic types into algorithm: Find all OnData events:
// Algorithm 1.0 data accessors
var hasOnTradeBar = AddMethodInvoker <Dictionary <string, TradeBar> >(algorithm, methodInvokers, "OnTradeBar");
var hasOnTick = AddMethodInvoker <Dictionary <string, List <Tick> > >(algorithm, methodInvokers, "OnTick");
// Algorithm 2.0 data accessors
var hasOnDataTradeBars = AddMethodInvoker <TradeBars>(algorithm, methodInvokers);
var hasOnDataTicks = AddMethodInvoker <Ticks>(algorithm, methodInvokers);
// determine what mode we're in
var backwardsCompatibilityMode = !hasOnDataTradeBars && !hasOnDataTicks;
// dividend and split events
var hasOnDataDividends = AddMethodInvoker <Dividends>(algorithm, methodInvokers);
var hasOnDataSplits = AddMethodInvoker <Splits>(algorithm, methodInvokers);
//Go through the subscription types and create invokers to trigger the event handlers for each custom type:
foreach (var config in feed.Subscriptions)
{
//If type is a tradebar, combine tradebars and ticks into unified array:
if (config.Type.Name != "TradeBar" && config.Type.Name != "Tick")
{
//Get the matching method for this event handler - e.g. public void OnData(Quandl data) { .. }
var genericMethod = (algorithm.GetType()).GetMethod("OnData", new[] { config.Type });
//If we already have this Type-handler then don't add it to invokers again.
if (methodInvokers.ContainsKey(config.Type))
{
continue;
}
//If we couldnt find the event handler, let the user know we can't fire that event.
if (genericMethod == null)
{
algorithm.RunTimeError = new Exception("Data event handler not found, please create a function matching this template: public void OnData(" + config.Type.Name + " data) { }");
_algorithmState = AlgorithmStatus.RuntimeError;
return;
}
methodInvokers.Add(config.Type, genericMethod.DelegateForCallMethod());
}
}
//Loop over the queues: get a data collection, then pass them all into relevent methods in the algorithm.
Log.Debug("AlgorithmManager.Run(): Algorithm initialized, launching time loop.");
foreach (var newData in DataStream.GetData(feed, setup.StartingDate))
{
//Check this backtest is still running:
if (_algorithmState != AlgorithmStatus.Running)
{
break;
}
//Go over each time stamp we've collected, pass it into the algorithm in order:
foreach (var time in newData.Keys)
{
//Set the time frontier:
_frontier = time;
//Execute with TimeLimit Monitor:
if (Isolator.IsCancellationRequested)
{
return;
}
//If we're in backtest mode we need to capture the daily performance. We do this here directly
//before updating the algorithm state with the new data from this time step, otherwise we'll
//produce incorrect samples (they'll take into account this time step's new price values)
if (backtestMode)
{
//Refresh the realtime event monitor:
//in backtest mode use the algorithms clock as realtime.
realtime.SetTime(time);
//On day-change sample equity and daily performance for statistics calculations
if (_previousTime.Date != time.Date)
{
//Sample the portfolio value over time for chart.
results.SampleEquity(_previousTime, Math.Round(algorithm.Portfolio.TotalPortfolioValue, 4));
//Check for divide by zero
if (startingPortfolioValue == 0m)
{
results.SamplePerformance(_previousTime.Date, 0);
}
else
{
results.SamplePerformance(_previousTime.Date, Math.Round((algorithm.Portfolio.TotalPortfolioValue - startingPortfolioValue) * 100 / startingPortfolioValue, 10));
}
startingPortfolioValue = algorithm.Portfolio.TotalPortfolioValue;
}
}
//Update algorithm state after capturing performance from previous day
//On each time step push the real time prices to the cashbook so we can have updated conversion rates
algorithm.Portfolio.CashBook.Update(newData[time]);
//Update the securities properties: first before calling user code to avoid issues with data
algorithm.Securities.Update(time, newData[time]);
// perform margin calls
if (time >= nextMarginCallTime)
{
// determine if there are possible margin call orders to be executed
var marginCallOrders = algorithm.Portfolio.ScanForMarginCall();
if (marginCallOrders.Count != 0)
{
// execute the margin call orders
var executedOrders = algorithm.Portfolio.MarginCallModel.ExecuteMarginCall(marginCallOrders);
foreach (var order in executedOrders)
{
algorithm.Error(string.Format("Executed MarginCallOrder: {0} - Quantity: {1} @ {2}", order.Symbol, order.Quantity, order.Price));
}
}
nextMarginCallTime = time + marginCallFrequency;
}
//Check if the user's signalled Quit: loop over data until day changes.
if (algorithm.GetQuit())
{
_algorithmState = AlgorithmStatus.Quit;
break;
}
//Pass in the new time first:
algorithm.SetDateTime(time);
//Trigger the data events: Invoke the types we have data for:
var oldBars = new Dictionary <string, TradeBar>();
var oldTicks = new Dictionary <string, List <Tick> >();
var newBars = new TradeBars(time);
var newTicks = new Ticks(time);
var newDividends = new Dividends(time);
var newSplits = new Splits(time);
//Invoke all non-tradebars, non-ticks methods and build up the TradeBars and Ticks dictionaries
// --> i == Subscription Configuration Index, so we don't need to compare types.
foreach (var i in newData[time].Keys)
{
//Data point and config of this point:
var dataPoints = newData[time][i];
var config = feed.Subscriptions[i];
//Keep track of how many data points we've processed
_dataPointCount += dataPoints.Count;
//We don't want to pump data that we added just for currency conversions
if (config.IsInternalFeed)
{
continue;
}
//Create TradeBars Unified Data --> OR --> invoke generic data event. One loop.
// Aggregate Dividends and Splits -- invoke portfolio application methods
foreach (var dataPoint in dataPoints)
{
var dividend = dataPoint as Dividend;
if (dividend != null)
{
// if this is a dividend apply to portfolio
algorithm.Portfolio.ApplyDividend(dividend);
if (hasOnDataDividends)
{
// and add to our data dictionary to pump into OnData(Dividends data)
newDividends.Add(dividend);
}
continue;
}
var split = dataPoint as Split;
if (split != null)
{
// if this is a split apply to portfolio
algorithm.Portfolio.ApplySplit(split);
if (hasOnDataSplits)
{
// and add to our data dictionary to pump into OnData(Splits data)
newSplits.Add(split);
}
continue;
}
//Update registered consolidators for this symbol index
try
{
for (var j = 0; j < config.Consolidators.Count; j++)
{
config.Consolidators[j].Update(dataPoint);
}
}
catch (Exception err)
{
algorithm.RunTimeError = err;
_algorithmState = AlgorithmStatus.RuntimeError;
Log.Error("AlgorithmManager.Run(): RuntimeError: Consolidators update: " + err.Message);
return;
}
// TRADEBAR -- add to our dictionary
var bar = dataPoint as TradeBar;
if (bar != null)
{
try
{
if (backwardsCompatibilityMode)
{
oldBars[bar.Symbol] = bar;
}
else
{
newBars[bar.Symbol] = bar;
}
}
catch (Exception err)
{
Log.Error(time.ToLongTimeString() + " >> " + bar.Time.ToLongTimeString() + " >> " + bar.Symbol + " >> " + bar.Value.ToString("C"));
Log.Error("AlgorithmManager.Run(): Failed to add TradeBar (" + bar.Symbol + ") Time: (" + time.ToLongTimeString() + ") Count:(" + newBars.Count + ") " + err.Message);
}
continue;
}
// TICK -- add to our dictionary
var tick = dataPoint as Tick;
if (tick != null)
{
if (backwardsCompatibilityMode)
{
List <Tick> ticks;
if (!oldTicks.TryGetValue(tick.Symbol, out ticks))
{
ticks = new List <Tick>(3);
oldTicks.Add(tick.Symbol, ticks);
}
ticks.Add(tick);
}
else
{
List <Tick> ticks;
if (!newTicks.TryGetValue(tick.Symbol, out ticks))
{
ticks = new List <Tick>(3);
newTicks.Add(tick.Symbol, ticks);
}
ticks.Add(tick);
}
continue;
}
// if it was nothing else then it must be custom data
// CUSTOM DATA -- invoke on data method
//Send data into the generic algorithm event handlers
try
{
methodInvokers[config.Type](algorithm, dataPoint);
}
catch (Exception err)
{
algorithm.RunTimeError = err;
_algorithmState = AlgorithmStatus.RuntimeError;
Log.Debug("AlgorithmManager.Run(): RuntimeError: Custom Data: " + err.Message + " STACK >>> " + err.StackTrace);
return;
}
}
}
try
{
// fire off the dividend and split events before pricing events
if (hasOnDataDividends && newDividends.Count != 0)
{
methodInvokers[typeof(Dividends)](algorithm, newDividends);
}
if (hasOnDataSplits && newSplits.Count != 0)
{
methodInvokers[typeof(Splits)](algorithm, newSplits);
}
}
catch (Exception err)
{
algorithm.RunTimeError = err;
_algorithmState = AlgorithmStatus.RuntimeError;
Log.Debug("AlgorithmManager.Run(): RuntimeError: Dividends/Splits: " + err.Message + " STACK >>> " + err.StackTrace);
return;
}
//After we've fired all other events in this second, fire the pricing events:
if (backwardsCompatibilityMode)
{
//Log.Debug("AlgorithmManager.Run(): Invoking v1.0 Event Handlers...");
try
{
if (hasOnTradeBar && oldBars.Count > 0)
{
methodInvokers[typeof(TradeBars)](algorithm, oldBars);
}
if (hasOnTick && oldTicks.Count > 0)
{
methodInvokers[typeof(Ticks)](algorithm, oldTicks);
}
}
catch (Exception err)
{
algorithm.RunTimeError = err;
_algorithmState = AlgorithmStatus.RuntimeError;
Log.Debug("AlgorithmManager.Run(): RuntimeError: Backwards Compatibility Mode: " + err.Message + " STACK >>> " + err.StackTrace);
return;
}
}
else
{
//Log.Debug("AlgorithmManager.Run(): Invoking v2.0 Event Handlers...");
try
{
if (hasOnDataTradeBars && newBars.Count > 0)
{
methodInvokers[typeof(TradeBars)](algorithm, newBars);
}
if (hasOnDataTicks && newTicks.Count > 0)
{
methodInvokers[typeof(Ticks)](algorithm, newTicks);
}
}
catch (Exception err)
{
algorithm.RunTimeError = err;
_algorithmState = AlgorithmStatus.RuntimeError;
Log.Debug("AlgorithmManager.Run(): RuntimeError: New Style Mode: " + err.Message + " STACK >>> " + err.StackTrace);
return;
}
}
//If its the historical/paper trading models, wait until market orders have been "filled"
// Manually trigger the event handler to prevent thread switch.
transactions.ProcessSynchronousEvents();
//Save the previous time for the sample calculations
_previousTime = time;
// Process any required events of the results handler such as sampling assets, equity, or stock prices.
results.ProcessSynchronousEvents();
} // End of Time Loop
} // End of ForEach DataStream
//Stream over:: Send the final packet and fire final events:
Log.Trace("AlgorithmManager.Run(): Firing On End Of Algorithm...");
try
{
algorithm.OnEndOfAlgorithm();
}
catch (Exception err)
{
_algorithmState = AlgorithmStatus.RuntimeError;
algorithm.RunTimeError = new Exception("Error running OnEndOfAlgorithm(): " + err.Message, err.InnerException);
Log.Debug("AlgorithmManager.OnEndOfAlgorithm(): " + err.Message + " STACK >>> " + err.StackTrace);
return;
}
// Process any required events of the results handler such as sampling assets, equity, or stock prices.
results.ProcessSynchronousEvents(forceProcess: true);
//Liquidate Holdings for Calculations:
if (_algorithmState == AlgorithmStatus.Liquidated || !Engine.LiveMode)
{
Log.Trace("AlgorithmManager.Run(): Liquidating algorithm holdings...");
algorithm.Liquidate();
results.LogMessage("Algorithm Liquidated");
results.SendStatusUpdate(job.AlgorithmId, AlgorithmStatus.Liquidated);
}
//Manually stopped the algorithm
if (_algorithmState == AlgorithmStatus.Stopped)
{
Log.Trace("AlgorithmManager.Run(): Stopping algorithm...");
results.LogMessage("Algorithm Stopped");
results.SendStatusUpdate(job.AlgorithmId, AlgorithmStatus.Stopped);
}
//Backtest deleted.
if (_algorithmState == AlgorithmStatus.Deleted)
{
Log.Trace("AlgorithmManager.Run(): Deleting algorithm...");
results.DebugMessage("Algorithm Id:(" + job.AlgorithmId + ") Deleted by request.");
results.SendStatusUpdate(job.AlgorithmId, AlgorithmStatus.Deleted);
}
//Algorithm finished, send regardless of commands:
results.SendStatusUpdate(job.AlgorithmId, AlgorithmStatus.Completed);
//Take final samples:
results.SampleRange(algorithm.GetChartUpdates());
results.SampleEquity(_frontier, Math.Round(algorithm.Portfolio.TotalPortfolioValue, 4));
results.SamplePerformance(_frontier, Math.Round((algorithm.Portfolio.TotalPortfolioValue - startingPortfolioValue) * 100 / startingPortfolioValue, 10));
} // End of Run();
/// <summary>
/// Launch the algorithm manager to run this strategy
/// </summary>
/// <param name="job">Algorithm job</param>
/// <param name="algorithm">Algorithm instance</param>
/// <param name="synchronizer">Instance which implements <see cref="ISynchronizer"/>. Used to stream the data</param>
/// <param name="transactions">Transaction manager object</param>
/// <param name="results">Result handler object</param>
/// <param name="realtime">Realtime processing object</param>
/// <param name="leanManager">ILeanManager implementation that is updated periodically with the IAlgorithm instance</param>
/// <param name="alphas">Alpha handler used to process algorithm generated insights</param>
/// <param name="token">Cancellation token</param>
/// <remarks>Modify with caution</remarks>
public void Run(AlgorithmNodePacket job, IAlgorithm algorithm, ISynchronizer synchronizer, ITransactionHandler transactions, IResultHandler results, IRealTimeHandler realtime, ILeanManager leanManager, IAlphaHandler alphas, CancellationToken token)
{
//Initialize:
DataPoints = 0;
_algorithm = algorithm;
var backtestMode = (job.Type == PacketType.BacktestNode);
var methodInvokers = new Dictionary <Type, MethodInvoker>();
var marginCallFrequency = TimeSpan.FromMinutes(5);
var nextMarginCallTime = DateTime.MinValue;
var settlementScanFrequency = TimeSpan.FromMinutes(30);
var nextSettlementScanTime = DateTime.MinValue;
var time = algorithm.StartDate.Date;
var pendingDelistings = new List <Delisting>();
var splitWarnings = new List <Split>();
//Initialize Properties:
AlgorithmId = job.AlgorithmId;
//Create the method accessors to push generic types into algorithm: Find all OnData events:
// Algorithm 2.0 data accessors
var hasOnDataTradeBars = AddMethodInvoker <TradeBars>(algorithm, methodInvokers);
var hasOnDataQuoteBars = AddMethodInvoker <QuoteBars>(algorithm, methodInvokers);
var hasOnDataOptionChains = AddMethodInvoker <OptionChains>(algorithm, methodInvokers);
var hasOnDataTicks = AddMethodInvoker <Ticks>(algorithm, methodInvokers);
// dividend and split events
var hasOnDataDividends = AddMethodInvoker <Dividends>(algorithm, methodInvokers);
var hasOnDataSplits = AddMethodInvoker <Splits>(algorithm, methodInvokers);
var hasOnDataDelistings = AddMethodInvoker <Delistings>(algorithm, methodInvokers);
var hasOnDataSymbolChangedEvents = AddMethodInvoker <SymbolChangedEvents>(algorithm, methodInvokers);
//Go through the subscription types and create invokers to trigger the event handlers for each custom type:
foreach (var config in algorithm.SubscriptionManager.Subscriptions)
{
//If type is a custom feed, check for a dedicated event handler
if (config.IsCustomData)
{
//Get the matching method for this event handler - e.g. public void OnData(Quandl data) { .. }
var genericMethod = (algorithm.GetType()).GetMethod("OnData", new[] { config.Type });
//If we already have this Type-handler then don't add it to invokers again.
if (methodInvokers.ContainsKey(config.Type))
{
continue;
}
if (genericMethod != null)
{
methodInvokers.Add(config.Type, genericMethod.DelegateForCallMethod());
}
}
}
// Schedule a daily event for sampling at midnight every night
algorithm.Schedule.On("Daily Sampling", algorithm.Schedule.DateRules.EveryDay(),
algorithm.Schedule.TimeRules.Midnight, () =>
{
results.Sample(algorithm.UtcTime);
});
//Loop over the queues: get a data collection, then pass them all into relevent methods in the algorithm.
Log.Trace($"AlgorithmManager.Run(): Begin DataStream - Start: {algorithm.StartDate} Stop: {algorithm.EndDate} Time: {algorithm.Time} Warmup: {algorithm.IsWarmingUp}");
foreach (var timeSlice in Stream(algorithm, synchronizer, results, token))
{
// reset our timer on each loop
TimeLimit.StartNewTimeStep();
//Check this backtest is still running:
if (_algorithm.Status != AlgorithmStatus.Running && _algorithm.RunTimeError == null)
{
Log.Error($"AlgorithmManager.Run(): Algorithm state changed to {_algorithm.Status} at {timeSlice.Time.ToStringInvariant()}");
break;
}
//Execute with TimeLimit Monitor:
if (token.IsCancellationRequested)
{
Log.Error($"AlgorithmManager.Run(): CancellationRequestion at {timeSlice.Time.ToStringInvariant()}");
return;
}
// Update the ILeanManager
leanManager.Update();
time = timeSlice.Time;
DataPoints += timeSlice.DataPointCount;
if (backtestMode && algorithm.Portfolio.TotalPortfolioValue <= 0)
{
var logMessage = "AlgorithmManager.Run(): Portfolio value is less than or equal to zero, stopping algorithm.";
Log.Error(logMessage);
results.SystemDebugMessage(logMessage);
break;
}
// If backtesting/warmup, we need to check if there are realtime events in the past
// which didn't fire because at the scheduled times there was no data (i.e. markets closed)
// and fire them with the correct date/time.
realtime.ScanPastEvents(time);
//Set the algorithm and real time handler's time
algorithm.SetDateTime(time);
// the time pulse are just to advance algorithm time, lets shortcut the loop here
if (timeSlice.IsTimePulse)
{
continue;
}
// Update the current slice before firing scheduled events or any other task
algorithm.SetCurrentSlice(timeSlice.Slice);
if (timeSlice.Slice.SymbolChangedEvents.Count != 0)
{
if (hasOnDataSymbolChangedEvents)
{
methodInvokers[typeof(SymbolChangedEvents)](algorithm, timeSlice.Slice.SymbolChangedEvents);
}
foreach (var symbol in timeSlice.Slice.SymbolChangedEvents.Keys)
{
// cancel all orders for the old symbol
foreach (var ticket in transactions.GetOpenOrderTickets(x => x.Symbol == symbol))
{
ticket.Cancel("Open order cancelled on symbol changed event");
}
}
}
if (timeSlice.SecurityChanges != SecurityChanges.None)
{
foreach (var security in timeSlice.SecurityChanges.AddedSecurities)
{
security.IsTradable = true;
// uses TryAdd, so don't need to worry about duplicates here
algorithm.Securities.Add(security);
}
var activeSecurities = algorithm.UniverseManager.ActiveSecurities;
foreach (var security in timeSlice.SecurityChanges.RemovedSecurities)
{
if (!activeSecurities.ContainsKey(security.Symbol))
{
security.IsTradable = false;
}
}
leanManager.OnSecuritiesChanged(timeSlice.SecurityChanges);
realtime.OnSecuritiesChanged(timeSlice.SecurityChanges);
results.OnSecuritiesChanged(timeSlice.SecurityChanges);
}
//Update the securities properties: first before calling user code to avoid issues with data
foreach (var update in timeSlice.SecuritiesUpdateData)
{
var security = update.Target;
security.Update(update.Data, update.DataType, update.ContainsFillForwardData);
if (!update.IsInternalConfig)
{
// Send market price updates to the TradeBuilder
algorithm.TradeBuilder.SetMarketPrice(security.Symbol, security.Price);
}
}
//Update the securities properties with any universe data
if (timeSlice.UniverseData.Count > 0)
{
foreach (var kvp in timeSlice.UniverseData)
{
foreach (var data in kvp.Value.Data)
{
Security security;
if (algorithm.Securities.TryGetValue(data.Symbol, out security))
{
security.Cache.StoreData(new[] { data }, data.GetType());
}
}
}
}
// poke each cash object to update from the recent security data
foreach (var cash in algorithm.Portfolio.CashBook.Values.Where(x => x.CurrencyConversion != null))
{
cash.Update();
}
// security prices got updated
algorithm.Portfolio.InvalidateTotalPortfolioValue();
// process fill models on the updated data before entering algorithm, applies to all non-market orders
transactions.ProcessSynchronousEvents();
// fire real time events after we've updated based on the new data
realtime.SetTime(timeSlice.Time);
// process split warnings for options
ProcessSplitSymbols(algorithm, splitWarnings, pendingDelistings);
//Check if the user's signalled Quit: loop over data until day changes.
if (_algorithm.Status != AlgorithmStatus.Running && _algorithm.RunTimeError == null)
{
Log.Error($"AlgorithmManager.Run(): Algorithm state changed to {_algorithm.Status} at {timeSlice.Time.ToStringInvariant()}");
break;
}
if (algorithm.RunTimeError != null)
{
Log.Error($"AlgorithmManager.Run(): Stopping, encountered a runtime error at {algorithm.UtcTime} UTC.");
return;
}
// perform margin calls, in live mode we can also use realtime to emit these
if (time >= nextMarginCallTime || (_liveMode && nextMarginCallTime > DateTime.UtcNow))
{
// determine if there are possible margin call orders to be executed
bool issueMarginCallWarning;
var marginCallOrders = algorithm.Portfolio.MarginCallModel.GetMarginCallOrders(out issueMarginCallWarning);
if (marginCallOrders.Count != 0)
{
var executingMarginCall = false;
try
{
// tell the algorithm we're about to issue the margin call
algorithm.OnMarginCall(marginCallOrders);
executingMarginCall = true;
// execute the margin call orders
var executedTickets = algorithm.Portfolio.MarginCallModel.ExecuteMarginCall(marginCallOrders);
foreach (var ticket in executedTickets)
{
algorithm.Error($"{algorithm.Time.ToStringInvariant()} - Executed MarginCallOrder: {ticket.Symbol} - " +
$"Quantity: {ticket.Quantity.ToStringInvariant()} @ {ticket.AverageFillPrice.ToStringInvariant()}"
);
}
}
catch (Exception err)
{
algorithm.SetRuntimeError(err, executingMarginCall ? "Portfolio.MarginCallModel.ExecuteMarginCall" : "OnMarginCall");
return;
}
}
// we didn't perform a margin call, but got the warning flag back, so issue the warning to the algorithm
else if (issueMarginCallWarning)
{
try
{
algorithm.OnMarginCallWarning();
}
catch (Exception err)
{
algorithm.SetRuntimeError(err, "OnMarginCallWarning");
return;
}
}
nextMarginCallTime = time + marginCallFrequency;
}
// perform check for settlement of unsettled funds
if (time >= nextSettlementScanTime || (_liveMode && nextSettlementScanTime > DateTime.UtcNow))
{
algorithm.Portfolio.ScanForCashSettlement(algorithm.UtcTime);
nextSettlementScanTime = time + settlementScanFrequency;
}
// before we call any events, let the algorithm know about universe changes
if (timeSlice.SecurityChanges != SecurityChanges.None)
{
try
{
var algorithmSecurityChanges = new SecurityChanges(timeSlice.SecurityChanges)
{
// by default for user code we want to filter out custom securities
FilterCustomSecurities = true,
// by default for user code we want to filter out internal securities
FilterInternalSecurities = true
};
algorithm.OnSecuritiesChanged(algorithmSecurityChanges);
algorithm.OnFrameworkSecuritiesChanged(algorithmSecurityChanges);
}
catch (Exception err)
{
algorithm.SetRuntimeError(err, "OnSecuritiesChanged");
return;
}
}
// apply dividends
foreach (var dividend in timeSlice.Slice.Dividends.Values)
{
Log.Debug($"AlgorithmManager.Run(): {algorithm.Time}: Applying Dividend: {dividend}");
Security security = null;
if (_liveMode && algorithm.Securities.TryGetValue(dividend.Symbol, out security))
{
Log.Trace($"AlgorithmManager.Run(): {algorithm.Time}: Pre-Dividend: {dividend}. " +
$"Security Holdings: {security.Holdings.Quantity} Account Currency Holdings: " +
$"{algorithm.Portfolio.CashBook[algorithm.AccountCurrency].Amount}");
}
var mode = algorithm.SubscriptionManager.SubscriptionDataConfigService
.GetSubscriptionDataConfigs(dividend.Symbol)
.DataNormalizationMode();
// apply the dividend event to the portfolio
algorithm.Portfolio.ApplyDividend(dividend, _liveMode, mode);
if (_liveMode && security != null)
{
Log.Trace($"AlgorithmManager.Run(): {algorithm.Time}: Post-Dividend: {dividend}. Security " +
$"Holdings: {security.Holdings.Quantity} Account Currency Holdings: " +
$"{algorithm.Portfolio.CashBook[algorithm.AccountCurrency].Amount}");
}
}
// apply splits
foreach (var split in timeSlice.Slice.Splits.Values)
{
try
{
// only process split occurred events (ignore warnings)
if (split.Type != SplitType.SplitOccurred)
{
continue;
}
Log.Debug($"AlgorithmManager.Run(): {algorithm.Time}: Applying Split for {split.Symbol}");
Security security = null;
if (_liveMode && algorithm.Securities.TryGetValue(split.Symbol, out security))
{
Log.Trace($"AlgorithmManager.Run(): {algorithm.Time}: Pre-Split for {split}. Security Price: {security.Price} Holdings: {security.Holdings.Quantity}");
}
var mode = algorithm.SubscriptionManager.SubscriptionDataConfigService
.GetSubscriptionDataConfigs(split.Symbol)
.DataNormalizationMode();
// apply the split event to the portfolio
algorithm.Portfolio.ApplySplit(split, _liveMode, mode);
if (_liveMode && security != null)
{
Log.Trace($"AlgorithmManager.Run(): {algorithm.Time}: Post-Split for {split}. Security Price: {security.Price} Holdings: {security.Holdings.Quantity}");
}
// apply the split to open orders as well in raw mode, all other modes are split adjusted
if (_liveMode || mode == DataNormalizationMode.Raw)
{
// in live mode we always want to have our order match the order at the brokerage, so apply the split to the orders
var openOrders = transactions.GetOpenOrderTickets(ticket => ticket.Symbol == split.Symbol);
algorithm.BrokerageModel.ApplySplit(openOrders.ToList(), split);
}
}
catch (Exception err)
{
algorithm.SetRuntimeError(err, "Split event");
return;
}
}
//Update registered consolidators for this symbol index
try
{
if (timeSlice.ConsolidatorUpdateData.Count > 0)
{
var timeKeeper = algorithm.TimeKeeper;
foreach (var update in timeSlice.ConsolidatorUpdateData)
{
var localTime = timeKeeper.GetLocalTimeKeeper(update.Target.ExchangeTimeZone).LocalTime;
var consolidators = update.Target.Consolidators;
foreach (var consolidator in consolidators)
{
foreach (var dataPoint in update.Data)
{
// only push data into consolidators on the native, subscribed to resolution
if (EndTimeIsInNativeResolution(update.Target, dataPoint.EndTime))
{
consolidator.Update(dataPoint);
}
}
// scan for time after we've pumped all the data through for this consolidator
consolidator.Scan(localTime);
}
}
}
}
catch (Exception err)
{
algorithm.SetRuntimeError(err, "Consolidators update");
return;
}
// fire custom event handlers
foreach (var update in timeSlice.CustomData)
{
MethodInvoker methodInvoker;
if (!methodInvokers.TryGetValue(update.DataType, out methodInvoker))
{
continue;
}
try
{
foreach (var dataPoint in update.Data)
{
if (update.DataType.IsInstanceOfType(dataPoint))
{
methodInvoker(algorithm, dataPoint);
}
}
}
catch (Exception err)
{
algorithm.SetRuntimeError(err, "Custom Data");
return;
}
}
try
{
// fire off the dividend and split events before pricing events
if (hasOnDataDividends && timeSlice.Slice.Dividends.Count != 0)
{
methodInvokers[typeof(Dividends)](algorithm, timeSlice.Slice.Dividends);
}
if (hasOnDataSplits && timeSlice.Slice.Splits.Count != 0)
{
methodInvokers[typeof(Splits)](algorithm, timeSlice.Slice.Splits);
}
if (hasOnDataDelistings && timeSlice.Slice.Delistings.Count != 0)
{
methodInvokers[typeof(Delistings)](algorithm, timeSlice.Slice.Delistings);
}
}
catch (Exception err)
{
algorithm.SetRuntimeError(err, "Dividends/Splits/Delistings");
return;
}
// Only track pending delistings in non-live mode.
if (!algorithm.LiveMode)
{
// Keep this up to date even though we don't process delistings here anymore
foreach (var delisting in timeSlice.Slice.Delistings.Values)
{
if (delisting.Type == DelistingType.Warning)
{
// Store our delistings warnings because they are still used by ProcessSplitSymbols above
pendingDelistings.Add(delisting);
}
else
{
// If we have an actual delisting event, remove it from pending delistings
var index = pendingDelistings.FindIndex(x => x.Symbol == delisting.Symbol);
if (index != -1)
{
pendingDelistings.RemoveAt(index);
}
}
}
}
// run split logic after firing split events
HandleSplitSymbols(timeSlice.Slice.Splits, splitWarnings);
//After we've fired all other events in this second, fire the pricing events:
try
{
if (hasOnDataTradeBars && timeSlice.Slice.Bars.Count > 0)
{
methodInvokers[typeof(TradeBars)](algorithm, timeSlice.Slice.Bars);
}
if (hasOnDataQuoteBars && timeSlice.Slice.QuoteBars.Count > 0)
{
methodInvokers[typeof(QuoteBars)](algorithm, timeSlice.Slice.QuoteBars);
}
if (hasOnDataOptionChains && timeSlice.Slice.OptionChains.Count > 0)
{
methodInvokers[typeof(OptionChains)](algorithm, timeSlice.Slice.OptionChains);
}
if (hasOnDataTicks && timeSlice.Slice.Ticks.Count > 0)
{
methodInvokers[typeof(Ticks)](algorithm, timeSlice.Slice.Ticks);
}
}
catch (Exception err)
{
algorithm.SetRuntimeError(err, "methodInvokers");
return;
}
try
{
if (timeSlice.Slice.HasData)
{
// EVENT HANDLER v3.0 -- all data in a single event
algorithm.OnData(timeSlice.Slice);
}
// always turn the crank on this method to ensure universe selection models function properly on day changes w/out data
algorithm.OnFrameworkData(timeSlice.Slice);
}
catch (Exception err)
{
algorithm.SetRuntimeError(err, "OnData");
return;
}
//If its the historical/paper trading models, wait until market orders have been "filled"
// Manually trigger the event handler to prevent thread switch.
transactions.ProcessSynchronousEvents();
// sample alpha charts now that we've updated time/price information and after transactions
// are processed so that insights closed because of new order based insights get updated
alphas.ProcessSynchronousEvents();
// send the alpha statistics to the result handler for storage/transmit with the result packets
results.SetAlphaRuntimeStatistics(alphas.RuntimeStatistics);
// Process any required events of the results handler such as sampling assets, equity, or stock prices.
results.ProcessSynchronousEvents();
// poke the algorithm at the end of each time step
algorithm.OnEndOfTimeStep();
} // End of ForEach feed.Bridge.GetConsumingEnumerable
// stop timing the loops
TimeLimit.StopEnforcingTimeLimit();
//Stream over:: Send the final packet and fire final events:
Log.Trace("AlgorithmManager.Run(): Firing On End Of Algorithm...");
try
{
algorithm.OnEndOfAlgorithm();
}
catch (Exception err)
{
algorithm.SetRuntimeError(err, "OnEndOfAlgorithm");
return;
}
// final processing now that the algorithm has completed
alphas.ProcessSynchronousEvents();
// send the final alpha statistics to the result handler for storage/transmit with the result packets
results.SetAlphaRuntimeStatistics(alphas.RuntimeStatistics);
// Process any required events of the results handler such as sampling assets, equity, or stock prices.
results.ProcessSynchronousEvents(forceProcess: true);
//Liquidate Holdings for Calculations:
if (_algorithm.Status == AlgorithmStatus.Liquidated && _liveMode)
{
Log.Trace("AlgorithmManager.Run(): Liquidating algorithm holdings...");
algorithm.Liquidate();
results.LogMessage("Algorithm Liquidated");
results.SendStatusUpdate(AlgorithmStatus.Liquidated);
}
//Manually stopped the algorithm
if (_algorithm.Status == AlgorithmStatus.Stopped)
{
Log.Trace("AlgorithmManager.Run(): Stopping algorithm...");
results.LogMessage("Algorithm Stopped");
results.SendStatusUpdate(AlgorithmStatus.Stopped);
}
//Backtest deleted.
if (_algorithm.Status == AlgorithmStatus.Deleted)
{
Log.Trace("AlgorithmManager.Run(): Deleting algorithm...");
results.DebugMessage("Algorithm Id:(" + job.AlgorithmId + ") Deleted by request.");
results.SendStatusUpdate(AlgorithmStatus.Deleted);
}
//Algorithm finished, send regardless of commands:
results.SendStatusUpdate(AlgorithmStatus.Completed);
SetStatus(AlgorithmStatus.Completed);
//Take final samples:
results.Sample(time);
} // End of Run();