/********************************************************
* 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();
/********************************************************
* 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();