コード例 #1
0
 /// <summary>
 /// Initializes a new instance of the <see cref="LeanEngineAlgorithmHandlers"/> class from the specified handlers
 /// </summary>
 /// <param name="results">The result handler for communicating results from the algorithm</param>
 /// <param name="setup">The setup handler used to initialize algorithm state</param>
 /// <param name="dataFeed">The data feed handler used to pump data to the algorithm</param>
 /// <param name="transactions">The transaction handler used to process orders from the algorithm</param>
 /// <param name="realTime">The real time handler used to process real time events</param>
 /// <param name="historyProvider">The history provider used to process historical data requests</param>
 /// <param name="commandQueue">The command queue handler used to receive external commands for the algorithm</param>
 /// <param name="mapFileProvider">The map file provider used to retrieve map files for the data feed</param>
 public LeanEngineAlgorithmHandlers(IResultHandler results,
                                    ISetupHandler setup,
                                    IDataFeed dataFeed,
                                    ITransactionHandler transactions,
                                    IRealTimeHandler realTime,
                                    IHistoryProvider historyProvider,
                                    ICommandQueueHandler commandQueue,
                                    IMapFileProvider mapFileProvider,
                                    IFactorFileProvider factorFileProvider
                                    )
 {
     if (results == null)
     {
         throw new ArgumentNullException("results");
     }
     if (setup == null)
     {
         throw new ArgumentNullException("setup");
     }
     if (dataFeed == null)
     {
         throw new ArgumentNullException("dataFeed");
     }
     if (transactions == null)
     {
         throw new ArgumentNullException("transactions");
     }
     if (realTime == null)
     {
         throw new ArgumentNullException("realTime");
     }
     if (historyProvider == null)
     {
         throw new ArgumentNullException("realTime");
     }
     if (commandQueue == null)
     {
         throw new ArgumentNullException("commandQueue");
     }
     if (mapFileProvider == null)
     {
         throw new ArgumentNullException("mapFileProvider");
     }
     if (factorFileProvider == null)
     {
         throw new ArgumentNullException("factorFileProvider");
     }
     _results            = results;
     _setup              = setup;
     _dataFeed           = dataFeed;
     _transactions       = transactions;
     _realTime           = realTime;
     _historyProvider    = historyProvider;
     _commandQueue       = commandQueue;
     _mapFileProvider    = mapFileProvider;
     _factorFileProvider = factorFileProvider;
 }
コード例 #2
0
 /// <summary>
 /// Initializes a new instance of the <see cref="LeanEngineAlgorithmHandlers"/> class from the specified handlers
 /// </summary>
 /// <param name="results">The result handler for communicating results from the algorithm</param>
 /// <param name="setup">The setup handler used to initialize algorithm state</param>
 /// <param name="dataFeed">The data feed handler used to pump data to the algorithm</param>
 /// <param name="transactions">The transaction handler used to process orders from the algorithm</param>
 /// <param name="realTime">The real time handler used to process real time events</param>
 /// <param name="historyProvider">The history provider used to process historical data requests</param>
 /// <param name="commandQueue">The command queue handler used to receive external commands for the algorithm</param>
 /// <param name="mapFileProvider">The map file provider used to retrieve map files for the data feed</param>
 public LeanEngineAlgorithmHandlers(IResultHandler results,
     ISetupHandler setup,
     IDataFeed dataFeed,
     ITransactionHandler transactions,
     IRealTimeHandler realTime,
     IHistoryProvider historyProvider,
     ICommandQueueHandler commandQueue,
     IMapFileProvider mapFileProvider
     )
 {
     if (results == null)
     {
         throw new ArgumentNullException("results");
     }
     if (setup == null)
     {
         throw new ArgumentNullException("setup");
     }
     if (dataFeed == null)
     {
         throw new ArgumentNullException("dataFeed");
     }
     if (transactions == null)
     {
         throw new ArgumentNullException("transactions");
     }
     if (realTime == null)
     {
         throw new ArgumentNullException("realTime");
     }
     if (historyProvider == null)
     {
         throw new ArgumentNullException("realTime");
     }
     if (commandQueue == null)
     {
         throw new ArgumentNullException("commandQueue");
     }
     if (mapFileProvider == null)
     {
         throw new ArgumentNullException("mapFileProvider");
     }
     _results = results;
     _setup = setup;
     _dataFeed = dataFeed;
     _transactions = transactions;
     _realTime = realTime;
     _historyProvider = historyProvider;
     _commandQueue = commandQueue;
     _mapFileProvider = mapFileProvider;
 }
コード例 #3
0
        /// <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();