Files
quantconnect--lean/Engine/AlgorithmManager.cs
T
Gerardo Salazar eb1181f5f7 Adds Futures Options Asset Class w/ IB Support (#4928)
* Adds preliminary universe selection for Future Options

* Fixes scaling issues with Future Options

* Fixes scaling multiplying by 10000x instead of using _scaleFactor

* Fixes scaling for Tick

* Revert changes to Tick since it divides the scaling factor

* Changes stale method name to new method name after rebase

* Fixes selection bugs, adds new methods, and adds unit tests

  * Fixes bug where Equity Symbol was created for an underlying
    non-equity Symbol, resulting in equity data trying to be loaded

  * Adds unit tests covering changes to Tick, QuoteBar, TradeBar and
    LeanData

  * Adds regression test for AddUniverseOption filter contract selection
    for Future Options

* Addresses review - modifies the AddFutureOption signature

  * Adds new AddUniverseOptions method overload
  * Removes and adds a new unit test
  * Misc. modifications to account for new changes

* Fixes bug where futures were loaded using default SID Date

  * Refactors and removes unnecessary work
  * Fixes regression algorithm, which previously made no trades

* Adds future option data

  * Adds the corresponding underlying data, in this case, futures data
    to enable usage of future options data

* Replaces data with new data (ES18Z20)

  * Improves Future chain filtering and updates regression stats

* Add AddFutureOptionContract API

* Expands regression and unit tests to test in finer detail

* Adds Python regression algorithms for AddFutureOption[Contract] methods

* Adds new unit test for BacktestingOptionChainProvider

  * Fixes bug with BacktesingOptionChainProvider where we
    attempted to load the Trades option chain first, resulting
    in breakage of backwards compatibility and limitation of the
    option chain.

  * Adds new regression algorithms (Py) to Algorithm.Python project

* Adds FutureOptionMarginBuyingPowerModel

  * Modifies code paths used to select margin model
  * Adds related unit tests for margin model

* Fixes issue with unit test and MHDB/SPDB lookup for Future Options

* Preliminary regression algorithm testing ITM call/put option buying

  * Fixes bug where fee model used did not find non-US market
    options fee model. We now use the futures fee model for future
    options because IB charges the same commissions per contract
    between futures and futures options

* Adds proper regression algorithm for ITM future options expiration

* Pushing broken algorithm for review

  * Currently, algorithm does not fill forward, causing
    a single future option to not get exercised when it is delisted.

* Adds FutureOptionPutITMExpiryRegressionAlgorithm

  * Improves existing regression algorithm for call side
  * Fixes bug in existing regression algorithm
  * Adds AAPL daily data to advance enumerator for ^^^ fix

* Adds additional future option regression algorithms

  * Adds Buy OTM expiration regression algorithms
  * Adds Sell ITM/OTM expiration regression algorithms
  * Adds missing Python regression algorithms

* Adds remaining Python regression algorithms and fixes issues

  * Fixes naming issues and statistics
  * Adds short option OTM regression algorithms (Py)

* Add license header and class comments to python algorithms

  * Cleans up comments and docstrings
  * Create Buy/Sell call intraday regression algo

* Redirects future options symbol properties to futures symbol properties

  * Asserts exercise/assignment price and updates stats in regression algos
  * Adds new unit test covering changes to SecurityService

* Adds comments and fixes failing test

* Partially fixes future option mis-calculated profit/loss

* Adjusts portfolio model to calculate FOP as a no upfront pay asset class

  * Updates regression algorithm statistics

* Begin IB FOP support

* Initial support for FOP IB data streaming, live í¾‰

  * Adds additional functionality to LiveOptionChainProvider
    - Allows querying CME API to retrieve option chains for CME products
    - Ultimately, it's also the groundwork for the CME
      LiveFutureChainProvider

  * Edits IDataQueueUniverseProvider interface to provide greater
    control to implementors of it

  * Misc. bug fixes required to get FOP data streaming through IB

* Adds comments, adds missing rategate call, and cleans up code

* Force exchange for FOP and Futures when no exchange is provided

* Fixes bug with Portfolio modeling across all asset classes

* Adds LiveOptionChainProvider tests for Future Options

* IB brokerage option symbol bug fixes and improvements

* Fixes contract multiplier lookup bug

  * Fixes issue where we attempted to subscribe to IB data feed with canonical security
  * Adds ES MHDB entry

* Reverts portfolio modeling changes for Futures Options

  * Since IB eats into our account's cash balance when
    a new FOP contract is purchased, we must model by applying funds
    to our cash whenever a new purchase/sell occurs.
    If we choose to model FOPs exactly as we do with futures, we
    will end up with an invalid TotalPortfolioValue on algorithm
    restart. By all means and purposes, FOPs are modeled exactly
    the same as equity options with respect to the portfolio.

  * Adds comments clarifying portfolio modeling and clarifies
    existing portfolio modeling comments with additional context.

* Fixes IB symbol lookup for future options

  * Fixes LiveOptionChainProvider looping 5 times per option chain
    request, even on success

  * Sets OptionChainedUniverseSelectionModel to produce a canonical
    future/future option/option Symbol to avoid creating two Symbols

  * Adds GLOBEX future option symbol mapping from future -> fop

* Fixes LiveOptionChainProvider loading wrong contract option chains

  * Fixes loading of futures options ZIP files when backtesting
  * Adds a string -> decimal JSON converter
  * Additional fixes/refactoring to the LiveOptionChainProvider

* Adds tests for changes to Symbol and LeanData

  * Reverts changes to IB-symbol-map

* Fixes Value for mapped future options tickers

  * Fixes Symbol test

* Changes path of future options to future's expiry date

  * Extra changes made to remove scaling from writing CSV
  * Added method to map from FOP Globex -> FUT Globex

* Fixes MOO and MOC orders for future options

  * Note: this order type might not be supported by IB or CME.

* Bug fixes and updates unit tests

* Update regression tests and data format

* Rebase changes

* 1. Multiple bug fixes for LiveOptionChainProvider, reverts IQFeed changes
2. Address review (partial): Code reuse and cleanup

1.
  * Modifies check in
    `AddFutureOptionShort(Call|Put)ITMExpiryRegressionAlgorithm`
    to ensure no buys have negative quantity

  * Code reuse changes in IB brokerage

  * Bug fix in IB brokerage where we assigned the FOP expiry
    as the futures expiry (requires verification)

  * Doc changes and adds missing summaries/license banners
  * Disposes of HTTP client resources in LiveOptionChainProvider
  * Renames classes and adds FutureOption folder in Common/Securities

2.
  * We revert back to the quotes API for the option chain,
    since the settlement API sometimes had missing strikes.

  * Fixes future option expiry being set as future's expiry
    in LiveOptionChainProvider

  * Fixes bug where wrong option chain was selected because of bad
    expiry lookup in the futures expiries returned from CME

  * Fixes multiple looping bug in LiveOptionChainProvider
  * Adds strike price scaling for LiveOptionChainProvider

  * Reverts IQFeed changes and simplifies interface upgrade changes

  Some additional challenges we'll have to solve as part of FOPs:

    - The `OptionSymbol.IsStandard` method makes the assumption that
      weeklies contracts follow the pattern equities follows, which
      does not apply to Futures Options

    - The Subscription created in:
        `OptionChainUniverseSubscriptionEnumeratorFactory`

      ...adds a Trade config. For illiquid contracts, this
      will delay universe selection for the option symbol
      until we get a trade. However, if we add a quote config,
      the data would instead be loaded based on the first quote
      we received from the brokerage.

      But since we're currently using a trade config, illiquid
      contracts won't start streaming data until it receives a trade.

NOTE: this commit is a WIP to addressing the reviews received in the PR,
but has been committed early for efficiency in the review process

* Fixes regression algorithms and misc. bugs

  * Fixes map file lookup for non-equity options
  * Adds extra assertion at end of algorithm to ensure no holdings are
    left when the algorithm ends.

  * Adds FutureOptionSymbol, allowing all contracts through as standard
  * Changes SPDB to allow defaulting to underlying future symbol
    properties if no entry is found for the given FOP

  * Fixes calls to SPDB in SecurityService, IBBrokerage
  * Reverts AAPL daily ZIP file to fix majority of regression algorithms
  * Adds FOPs symbol properties
  * Fixes existing symbol properties for a few futures
  * Adds tests for changes to Symbol Properties Database

* Removes string SPDB lookup method

  * Updates tests and misc callees of previous method

* Updates all regression tests to use data of already expired contracts

  * Adds Futures Options Expiry Functions tests
  * Adds required futures data for 2020-01-05

* Address review (partial): Expands test coverage and fixes tests

* Set option chain tests parallelism to fixture only

* Fixes broken test for contract month delta for FuturesOptionsExpiryFunctions

* Changes delisting date logic for Futures Options

* Address review: removes duplicate code, misc code fixes

  * Bug fix in MarketHoursDatabase.GetDatabaseSymbolKey() where
    we would use the underlying's Symbol for lookup in the MHDB

  * Adds missing license banner
  * Removes Futures Options entries from MHDB
  * Adds new tests

* Adds SecurityType.FutureOption

  * Converts any underlying comparisons and uses SecurityType directly
    instead for FOP specific behavior

  * Extra code modifications to acommodate new SecurityType

* Addresses review: fixes order fee bug on exercise

  * Additional bug fixes and adding of SecurityType.FutureOption
  * Updates regression algorithms OrderListHash

* Fixes various bugs in IB live implementation

  * Fixes bug setting the right contract expiration date for FOP
    generated by LiveOptionChainProvider

  * Adds new function to FuturesOptionsExpiryFunctions

  * Clarifies parameter names better in some functions/methods

  * Fixes bugs in IB brokerage for FOPs

* Address review - code cleanup and refactor

  * Remove MappingEventProvider, SplitEventProvider, and
    DividendEventProvider for Futures Options in
    CorporateEventEnumeratorFactory

* Address review: Use MHDB key resolver in SPDB

* Makes regression tests pass and adds comment for expiry issue

* Fixes MHDB lookup on string symbol method

* Adds Futures Options greeks regression algorithm (C# only)

* Adds explanitory comment on MHDB FOP lookup

* Remove python from FutureOptionCallITMGreeksExpiryRegressionAlgorithm
2020-12-02 21:49:59 -03:00

1226 lines
58 KiB
C#

/*
* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*/
using System;
using System.Collections.Generic;
using System.Linq;
using System.Threading;
using Fasterflect;
using QuantConnect.Algorithm;
using QuantConnect.Configuration;
using QuantConnect.Data;
using QuantConnect.Data.Market;
using QuantConnect.Data.UniverseSelection;
using QuantConnect.Interfaces;
using QuantConnect.Lean.Engine.Alpha;
using QuantConnect.Lean.Engine.DataFeeds;
using QuantConnect.Lean.Engine.RealTime;
using QuantConnect.Lean.Engine.Results;
using QuantConnect.Lean.Engine.Server;
using QuantConnect.Lean.Engine.TransactionHandlers;
using QuantConnect.Logging;
using QuantConnect.Orders;
using QuantConnect.Packets;
using QuantConnect.Securities;
using QuantConnect.Util;
using QuantConnect.Securities.Option;
using QuantConnect.Securities.Volatility;
using QuantConnect.Util.RateLimit;
namespace QuantConnect.Lean.Engine
{
/// <summary>
/// Algorithm manager class executes the algorithm and generates and passes through the algorithm events.
/// </summary>
public class AlgorithmManager
{
private IAlgorithm _algorithm;
private readonly object _lock;
private readonly bool _liveMode;
/// <summary>
/// Publicly accessible algorithm status
/// </summary>
public AlgorithmStatus State => _algorithm?.Status ?? AlgorithmStatus.Running;
/// <summary>
/// Public access to the currently running algorithm id.
/// </summary>
public string AlgorithmId { get; private set; }
/// <summary>
/// Provides the isolator with a function for verifying that we're not spending too much time in each
/// algorithm manager time loop
/// </summary>
public AlgorithmTimeLimitManager TimeLimit { get; }
/// <summary>
/// Quit state flag for the running algorithm. When true the user has requested the backtest stops through a Quit() method.
/// </summary>
/// <seealso cref="QCAlgorithm.Quit(String)"/>
public bool QuitState => State == AlgorithmStatus.Deleted;
/// <summary>
/// Gets the number of data points processed per second
/// </summary>
public long DataPoints { get; private set; }
/// <summary>
/// Initializes a new instance of the <see cref="AlgorithmManager"/> class
/// </summary>
/// <param name="liveMode">True if we're running in live mode, false for backtest mode</param>
/// <param name="job">Provided by LEAN when creating a new algo manager. This is the job
/// that the algo manager is about to execute. Research and other consumers can provide the
/// default value of null</param>
public AlgorithmManager(bool liveMode, AlgorithmNodePacket job = null)
{
AlgorithmId = "";
_liveMode = liveMode;
_lock = new object();
// initialize the time limit manager
TimeLimit = new AlgorithmTimeLimitManager(
CreateTokenBucket(job?.Controls?.TrainingLimits),
TimeSpan.FromMinutes(Config.GetDouble("algorithm-manager-time-loop-maximum", 20))
);
}
/// <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 delistings = new List<Delisting>();
var splitWarnings = new List<Split>();
//Initialize Properties:
AlgorithmId = job.AlgorithmId;
_algorithm.Status = AlgorithmStatus.Running;
//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());
}
}
}
//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(algorithm, synchronizer, results, token))
{
// reset our timer on each loop
TimeLimit.StartNewTimeStep();
//Check this backtest is still running:
if (_algorithm.Status != AlgorithmStatus.Running)
{
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;
// We need to sample at the top of the loop in case we have a strategy
// with no data added. Time pulses would be emitted between days, and
// would cause us to skip sampling of the portfolio in those dead days.
results.Sample(time);
if (backtestMode)
{
if (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, 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;
}
}
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 kvp in algorithm.Portfolio.CashBook)
{
var cash = kvp.Value;
var updateData = cash.ConversionRateSecurity?.GetLastData();
if (updateData != null)
{
cash.Update(updateData);
}
}
// security prices got updated
algorithm.Portfolio.InvalidateTotalPortfolioValue();
// 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();
// process end of day delistings
ProcessDelistedSymbols(algorithm, delistings);
// process split warnings for options
ProcessSplitSymbols(algorithm, splitWarnings);
//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($"AlgorithmManager.Run(): Algorithm encountered a runtime error at {timeSlice.Time.ToStringInvariant()}. Error: {algorithm.RunTimeError}");
return;
}
// perform margin calls, in live mode we can also use realtime to emit these
if (time >= nextMarginCallTime || (_liveMode && nextMarginCallTime > DateTime.UtcNow))
{
// determine if there are possible margin call orders to be executed
bool issueMarginCallWarning;
var marginCallOrders = algorithm.Portfolio.MarginCallModel.GetMarginCallOrders(out issueMarginCallWarning);
if (marginCallOrders.Count != 0)
{
var executingMarginCall = false;
try
{
// tell the algorithm we're about to issue the margin call
algorithm.OnMarginCall(marginCallOrders);
executingMarginCall = true;
// execute the margin call orders
var executedTickets = algorithm.Portfolio.MarginCallModel.ExecuteMarginCall(marginCallOrders);
foreach (var ticket in executedTickets)
{
algorithm.Error($"{algorithm.Time.ToStringInvariant()} - Executed MarginCallOrder: {ticket.Symbol} - " +
$"Quantity: {ticket.Quantity.ToStringInvariant()} @ {ticket.AverageFillPrice.ToStringInvariant()}"
);
}
}
catch (Exception err)
{
algorithm.RunTimeError = err;
_algorithm.Status = AlgorithmStatus.RuntimeError;
var locator = executingMarginCall ? "Portfolio.MarginCallModel.ExecuteMarginCall" : "OnMarginCall";
Log.Error($"AlgorithmManager.Run(): RuntimeError: {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
{
var algorithmSecurityChanges = new SecurityChanges(timeSlice.SecurityChanges)
{
// by default for user code we want to filter out custom securities
FilterCustomSecurities = true
};
algorithm.OnSecuritiesChanged(algorithmSecurityChanges);
algorithm.OnFrameworkSecuritiesChanged(algorithmSecurityChanges);
}
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.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.RunTimeError = err;
_algorithm.Status = AlgorithmStatus.RuntimeError;
Log.Error("AlgorithmManager.Run(): RuntimeError: Split event: " + err);
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.RunTimeError = err;
_algorithm.Status = AlgorithmStatus.RuntimeError;
Log.Error("AlgorithmManager.Run(): RuntimeError: Consolidators update: " + err);
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.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, delistings);
// 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.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);
}
// 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.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();
// 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.Status = AlgorithmStatus.RuntimeError;
algorithm.RunTimeError = new Exception("Error running OnEndOfAlgorithm(): " + err.Message, err.InnerException);
Log.Error("AlgorithmManager.OnEndOfAlgorithm(): " + err);
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, force: true);
} // End of Run();
/// <summary>
/// Set the quit state.
/// </summary>
public void SetStatus(AlgorithmStatus state)
{
lock (_lock)
{
//We don't want anyone else to set our internal state to "Running".
//This is controlled by the algorithm private variable only.
//Algorithm could be null after it's initialized and they call Run on us
if (state != AlgorithmStatus.Running && _algorithm != null)
{
_algorithm.Status = state;
}
}
}
private IEnumerable<TimeSlice> Stream(IAlgorithm algorithm, ISynchronizer synchronizer, IResultHandler results, CancellationToken cancellationToken)
{
bool setStartTime = false;
var timeZone = algorithm.TimeZone;
var history = algorithm.HistoryProvider;
// fulfilling history requirements of volatility models in live mode
if (algorithm.LiveMode)
{
ProcessVolatilityHistoryRequirements(algorithm);
}
// get the required history job from the algorithm
DateTime? lastHistoryTimeUtc = null;
var historyRequests = algorithm.GetWarmupHistoryRequests().ToList();
// initialize variables for progress computation
var warmUpStartTicks = DateTime.UtcNow.Ticks;
var nextStatusTime = DateTime.UtcNow.AddSeconds(1);
var minimumIncrement = algorithm.UniverseManager
.Select(x => x.Value.UniverseSettings?.Resolution.ToTimeSpan() ?? algorithm.UniverseSettings.Resolution.ToTimeSpan())
.DefaultIfEmpty(Time.OneSecond)
.Min();
minimumIncrement = minimumIncrement == TimeSpan.Zero ? Time.OneSecond : minimumIncrement;
if (historyRequests.Count != 0)
{
// rewrite internal feed requests
var subscriptions = algorithm.SubscriptionManager.Subscriptions.Where(x => !x.IsInternalFeed).ToList();
var minResolution = subscriptions.Count > 0 ? subscriptions.Min(x => x.Resolution) : Resolution.Second;
foreach (var request in historyRequests)
{
Security security;
if (algorithm.Securities.TryGetValue(request.Symbol, out security) && security.IsInternalFeed())
{
if (request.Resolution < minResolution)
{
request.Resolution = minResolution;
request.FillForwardResolution = request.FillForwardResolution.HasValue ? minResolution : (Resolution?) null;
}
}
}
// rewrite all to share the same fill forward resolution
if (historyRequests.Any(x => x.FillForwardResolution.HasValue))
{
minResolution = historyRequests.Where(x => x.FillForwardResolution.HasValue).Min(x => x.FillForwardResolution.Value);
foreach (var request in historyRequests.Where(x => x.FillForwardResolution.HasValue))
{
request.FillForwardResolution = minResolution;
}
}
foreach (var request in historyRequests)
{
warmUpStartTicks = Math.Min(request.StartTimeUtc.Ticks, warmUpStartTicks);
Log.Trace($"AlgorithmManager.Stream(): WarmupHistoryRequest: {request.Symbol}: Start: {request.StartTimeUtc} End: {request.EndTimeUtc} Resolution: {request.Resolution}");
}
var timeSliceFactory = new TimeSliceFactory(timeZone);
// make the history request and build time slices
foreach (var slice in history.GetHistory(historyRequests, timeZone))
{
TimeSlice timeSlice;
try
{
// we need to recombine this slice into a time slice
var paired = new List<DataFeedPacket>();
foreach (var symbol in slice.Keys)
{
var security = algorithm.Securities[symbol];
var data = slice[symbol];
var list = new List<BaseData>();
Type dataType;
var ticks = data as List<Tick>;
if (ticks != null)
{
list.AddRange(ticks);
dataType = typeof(Tick);
}
else
{
list.Add(data);
dataType = data.GetType();
}
var config = algorithm.SubscriptionManager.SubscriptionDataConfigService
.GetSubscriptionDataConfigs(symbol, includeInternalConfigs: true)
.FirstOrDefault(subscription => dataType.IsAssignableFrom(subscription.Type));
if (config == null)
{
throw new Exception($"A data subscription for type '{dataType.Name}' was not found.");
}
paired.Add(new DataFeedPacket(security, config, list));
}
timeSlice = timeSliceFactory.Create(slice.Time.ConvertToUtc(timeZone), paired, SecurityChanges.None, new Dictionary<Universe, BaseDataCollection>());
}
catch (Exception err)
{
Log.Error(err);
algorithm.RunTimeError = err;
yield break;
}
if (timeSlice != null)
{
if (!setStartTime)
{
setStartTime = true;
algorithm.Debug("Algorithm warming up...");
}
if (DateTime.UtcNow > nextStatusTime)
{
// send some status to the user letting them know we're done history, but still warming up,
// catching up to real time data
nextStatusTime = DateTime.UtcNow.AddSeconds(1);
var percent = (int)(100 * (timeSlice.Time.Ticks - warmUpStartTicks) / (double)(DateTime.UtcNow.Ticks - warmUpStartTicks));
results.SendStatusUpdate(AlgorithmStatus.History, $"Catching up to realtime {percent}%...");
}
yield return timeSlice;
lastHistoryTimeUtc = timeSlice.Time;
}
}
}
// if we're not live or didn't event request warmup, then set us as not warming up
if (!algorithm.LiveMode || historyRequests.Count == 0)
{
algorithm.SetFinishedWarmingUp();
if (historyRequests.Count != 0)
{
algorithm.Debug("Algorithm finished warming up.");
Log.Trace("AlgorithmManager.Stream(): Finished warmup");
}
}
foreach (var timeSlice in synchronizer.StreamData(cancellationToken))
{
if (algorithm.LiveMode && algorithm.IsWarmingUp)
{
if (timeSlice.IsTimePulse)
{
continue;
}
// this is hand-over logic, we spin up the data feed first and then request
// the history for warmup, so there will be some overlap between the data
if (lastHistoryTimeUtc.HasValue)
{
// make sure there's no historical data, this only matters for the handover
var hasHistoricalData = false;
foreach (var data in timeSlice.Slice.Ticks.Values.SelectMany(x => x).Concat<BaseData>(timeSlice.Slice.Bars.Values))
{
// check if any ticks in the list are on or after our last warmup point, if so, skip this data
if (data.EndTime.ConvertToUtc(algorithm.Securities[data.Symbol].Exchange.TimeZone) >= lastHistoryTimeUtc)
{
hasHistoricalData = true;
break;
}
}
if (hasHistoricalData)
{
continue;
}
// prevent us from doing these checks every loop
lastHistoryTimeUtc = null;
}
// in live mode wait to mark us as finished warming up when
// the data feed has caught up to now within the min increment
if (timeSlice.Time > DateTime.UtcNow.Subtract(minimumIncrement))
{
algorithm.SetFinishedWarmingUp();
algorithm.Debug("Algorithm finished warming up.");
Log.Trace("AlgorithmManager.Stream(): Finished warmup");
}
else if (DateTime.UtcNow > nextStatusTime)
{
// send some status to the user letting them know we're done history, but still warming up,
// catching up to real time data
nextStatusTime = DateTime.UtcNow.AddSeconds(1);
var percent = (int) (100*(timeSlice.Time.Ticks - warmUpStartTicks)/(double) (DateTime.UtcNow.Ticks - warmUpStartTicks));
results.SendStatusUpdate(AlgorithmStatus.History, $"Catching up to realtime {percent}%...");
}
}
yield return timeSlice;
}
}
/// <summary>
/// Helper method used to process securities volatility history requirements
/// </summary>
/// <remarks>Implemented as static to facilitate testing</remarks>
/// <param name="algorithm">The algorithm instance</param>
public static void ProcessVolatilityHistoryRequirements(IAlgorithm algorithm)
{
Log.Trace("ProcessVolatilityHistoryRequirements(): Updating volatility models with historical data...");
foreach (var kvp in algorithm.Securities)
{
var security = kvp.Value;
if (security.VolatilityModel != VolatilityModel.Null)
{
// start: this is a work around to maintain retro compatibility
// did not want to add IVolatilityModel.SetSubscriptionDataConfigProvider
// to prevent breaking existing user models.
var baseType = security.VolatilityModel as BaseVolatilityModel;
baseType?.SetSubscriptionDataConfigProvider(
algorithm.SubscriptionManager.SubscriptionDataConfigService);
// end
var historyReq = security.VolatilityModel.GetHistoryRequirements(security, algorithm.UtcTime);
if (historyReq != null && algorithm.HistoryProvider != null)
{
var history = algorithm.HistoryProvider.GetHistory(historyReq, algorithm.TimeZone);
if (history != null)
{
foreach (var slice in history)
{
if (slice.Bars.ContainsKey(security.Symbol))
security.VolatilityModel.Update(security, slice.Bars[security.Symbol]);
}
}
}
}
}
Log.Trace("ProcessVolatilityHistoryRequirements(): finished.");
}
/// <summary>
/// Adds a method invoker if the method exists to the method invokers dictionary
/// </summary>
/// <typeparam name="T">The data type to check for 'OnData(T data)</typeparam>
/// <param name="algorithm">The algorithm instance</param>
/// <param name="methodInvokers">The dictionary of method invokers</param>
/// <param name="methodName">The name of the method to search for</param>
/// <returns>True if the method existed and was added to the collection</returns>
private bool AddMethodInvoker<T>(IAlgorithm algorithm, Dictionary<Type, MethodInvoker> methodInvokers, string methodName = "OnData")
{
var newSplitMethodInfo = algorithm.GetType().GetMethod(methodName, new[] {typeof (T)});
if (newSplitMethodInfo != null)
{
methodInvokers.Add(typeof(T), newSplitMethodInfo.DelegateForCallMethod());
return true;
}
return false;
}
/// <summary>
/// Performs delisting logic for the securities specified in <paramref name="newDelistings"/> that are marked as <see cref="DelistingType.Delisted"/>.
/// </summary>
private static void HandleDelistedSymbols(IAlgorithm algorithm, Delistings newDelistings, List<Delisting> delistings)
{
foreach (var delisting in newDelistings.Values)
{
// submit an order to liquidate on market close
if (delisting.Type == DelistingType.Warning)
{
if (!delistings.Any(x => x.Symbol == delisting.Symbol && x.Type == delisting.Type))
{
delistings.Add(delisting);
Log.Trace($"AlgorithmManager.Run(): Security delisting warning: {delisting.Symbol.Value}, UtcTime: {algorithm.UtcTime}, DelistingTime: {delisting.Time}");
}
}
else
{
// mark security as no longer tradable
var security = algorithm.Securities[delisting.Symbol];
security.IsTradable = false;
security.IsDelisted = true;
// the subscription are getting removed from the data feed because they end
// remove security from all universes
foreach (var ukvp in algorithm.UniverseManager)
{
var universe = ukvp.Value;
if (universe.ContainsMember(security.Symbol))
{
var userUniverse = universe as UserDefinedUniverse;
if (userUniverse != null)
{
userUniverse.Remove(security.Symbol);
}
else
{
universe.RemoveMember(algorithm.UtcTime, security);
}
}
}
Log.Trace($"AlgorithmManager.Run(): Security delisted: {delisting.Symbol.Value}, UtcTime: {algorithm.UtcTime}, DelistingTime: {delisting.Time}");
var cancelledOrders = algorithm.Transactions.CancelOpenOrders(delisting.Symbol);
foreach (var cancelledOrder in cancelledOrders)
{
Log.Trace("AlgorithmManager.Run(): " + cancelledOrder);
}
}
}
}
/// <summary>
/// Performs actual delisting of the contracts in delistings collection
/// </summary>
private static void ProcessDelistedSymbols(IAlgorithm algorithm, List<Delisting> delistings)
{
for (var i = delistings.Count - 1; i >= 0; i--)
{
// check if we are holding position
var security = algorithm.Securities[delistings[i].Symbol];
if (security.Holdings.Quantity == 0)
{
continue;
}
// check if the time has come for delisting
var delistingTime = delistings[i].Time;
var nextMarketOpen = security.Exchange.Hours.GetNextMarketOpen(delistingTime, false);
var nextMarketClose = security.Exchange.Hours.GetNextMarketClose(nextMarketOpen, false);
if (security.LocalTime < nextMarketClose)
{
continue;
}
var orderType = OrderType.Market;
var tag = "Liquidate from delisting";
if (security.Type == SecurityType.Option || security.Type == SecurityType.FutureOption)
{
// tx handler will determine auto exercise/assignment
tag = "Option Expired";
orderType = OrderType.OptionExercise;
}
// submit an order to liquidate on market close or exercise (for options)
var request = new SubmitOrderRequest(orderType, security.Type, security.Symbol,
-security.Holdings.Quantity, 0, 0, algorithm.UtcTime, tag);
delistings.RemoveAt(i);
algorithm.Transactions.ProcessRequest(request);
}
}
/// <summary>
/// Keeps track of split warnings so we can later liquidate option contracts
/// </summary>
private void HandleSplitSymbols(Splits newSplits, List<Split> splitWarnings)
{
foreach (var split in newSplits.Values)
{
if (split.Type != SplitType.Warning)
{
Log.Trace($"AlgorithmManager.HandleSplitSymbols(): {_algorithm.Time} - Security split occurred: Split Factor: {split} Reference Price: {split.ReferencePrice}");
continue;
}
Log.Trace($"AlgorithmManager.HandleSplitSymbols(): {_algorithm.Time} - Security split warning: {split}");
if (!splitWarnings.Any(x => x.Symbol == split.Symbol && x.Type == SplitType.Warning))
{
splitWarnings.Add(split);
}
}
}
/// <summary>
/// Liquidate option contact holdings who's underlying security has split
/// </summary>
private void ProcessSplitSymbols(IAlgorithm algorithm, List<Split> splitWarnings)
{
// NOTE: This method assumes option contracts have the same core trading hours as their underlying contract
// This is a small performance optimization to prevent scanning every contract on every time step,
// instead we scan just the underlyings, thereby reducing the time footprint of this methods by a factor
// of N, the number of derivative subscriptions
for (int i = splitWarnings.Count - 1; i >= 0; i--)
{
var split = splitWarnings[i];
var security = algorithm.Securities[split.Symbol];
if (!security.IsTradable
&& !algorithm.UniverseManager.ActiveSecurities.Keys.Contains(split.Symbol))
{
Log.Debug($"AlgorithmManager.ProcessSplitSymbols(): {_algorithm.Time} - Removing split warning for {security.Symbol}");
// remove the warning from out list
splitWarnings.RemoveAt(i);
// Since we are storing the split warnings for a loop
// we need to check if the security was removed.
// When removed, it will be marked as non tradable but just in case
// we expect it not to be an active security either
continue;
}
var nextMarketClose = security.Exchange.Hours.GetNextMarketClose(security.LocalTime, false);
// determine the latest possible time we can submit a MOC order
var configs = algorithm.SubscriptionManager.SubscriptionDataConfigService
.GetSubscriptionDataConfigs(security.Symbol);
if (configs.Count == 0)
{
// should never happen at this point, if it does let's give some extra info
throw new Exception(
$"AlgorithmManager.ProcessSplitSymbols(): {_algorithm.Time} - No subscriptions found for {security.Symbol}" +
$", IsTradable: {security.IsTradable}" +
$", Active: {algorithm.UniverseManager.ActiveSecurities.Keys.Contains(split.Symbol)}");
}
var latestMarketOnCloseTimeRoundedDownByResolution = nextMarketClose.Subtract(MarketOnCloseOrder.DefaultSubmissionTimeBuffer)
.RoundDownInTimeZone(configs.GetHighestResolution().ToTimeSpan(), security.Exchange.TimeZone, configs.First().DataTimeZone);
// we don't need to do anyhing until the market closes
if (security.LocalTime < latestMarketOnCloseTimeRoundedDownByResolution) continue;
// fetch all option derivatives of the underlying with holdings (excluding the canonical security)
var derivatives = algorithm.Securities.Where(kvp => kvp.Key.HasUnderlying &&
(kvp.Key.SecurityType == SecurityType.Option || kvp.Key.SecurityType == SecurityType.FutureOption) &&
kvp.Key.Underlying == security.Symbol &&
!kvp.Key.Underlying.IsCanonical() &&
kvp.Value.HoldStock
);
foreach (var kvp in derivatives)
{
var optionContractSymbol = kvp.Key;
var optionContractSecurity = (Option) kvp.Value;
// close any open orders
algorithm.Transactions.CancelOpenOrders(optionContractSymbol, "Canceled due to impending split. Separate MarketOnClose order submitted to liquidate position.");
var request = new SubmitOrderRequest(OrderType.MarketOnClose, optionContractSecurity.Type, optionContractSymbol,
-optionContractSecurity.Holdings.Quantity, 0, 0, algorithm.UtcTime,
"Liquidated due to impending split. Option splits are not currently supported."
);
// send MOC order to liquidate option contract holdings
algorithm.Transactions.AddOrder(request);
// mark option contract as not tradable
optionContractSecurity.IsTradable = false;
algorithm.Debug($"MarketOnClose order submitted for option contract '{optionContractSymbol}' due to impending {split.Symbol.Value} split event. "
+ "Option splits are not currently supported.");
}
// remove the warning from out list
splitWarnings.RemoveAt(i);
}
}
/// <summary>
/// Determines if a data point is in it's native, configured resolution
/// </summary>
private static bool EndTimeIsInNativeResolution(SubscriptionDataConfig config, DateTime dataPointEndTime)
{
if (config.Resolution == Resolution.Tick
||
// time zones don't change seconds or milliseconds so we can
// shortcut timezone conversions
(config.Resolution == Resolution.Second
|| config.Resolution == Resolution.Minute)
&& dataPointEndTime.Ticks % config.Increment.Ticks == 0)
{
return true;
}
var roundedDataPointEndTime = dataPointEndTime.RoundDownInTimeZone(config.Increment, config.ExchangeTimeZone, config.DataTimeZone);
return dataPointEndTime == roundedDataPointEndTime;
}
/// <summary>
/// Constructs the correct <see cref="ITokenBucket"/> instance per the provided controls.
/// The provided controls will be null when
/// </summary>
private static ITokenBucket CreateTokenBucket(LeakyBucketControlParameters controls)
{
if (controls == null)
{
// this will only be null when the AlgorithmManager is being initialized outside of LEAN
// for example, in unit tests that don't provide a job package as well as from Research
// in each of the above cases, it seems best to not enforce the leaky bucket restrictions
return TokenBucket.Null;
}
Log.Trace("AlgorithmManager.CreateTokenBucket(): Initializing LeakyBucket: " +
$"Capacity: {controls.Capacity} " +
$"RefillAmount: {controls.RefillAmount} " +
$"TimeInterval: {controls.TimeIntervalMinutes}"
);
// these parameters view 'minutes' as the resource being rate limited. the capacity is the total
// number of minutes available for burst operations and after controls.TimeIntervalMinutes time
// has passed, we'll add controls.RefillAmount to the 'minutes' available, maxing at controls.Capacity
return new LeakyBucket(
controls.Capacity,
controls.RefillAmount,
TimeSpan.FromMinutes(controls.TimeIntervalMinutes)
);
}
}
}