| Overall Statistics |
|
Total Trades 310 Average Win 0.95% Average Loss -1.34% Compounding Annual Return 42.179% Drawdown 10.000% Expectancy 0.158 Net Profit 36.405% Sharpe Ratio 1.88 Probabilistic Sharpe Ratio 78.082% Loss Rate 32% Win Rate 68% Profit-Loss Ratio 0.71 Alpha 0.288 Beta -0.029 Annual Standard Deviation 0.155 Annual Variance 0.024 Information Ratio 1.512 Tracking Error 0.263 Treynor Ratio -9.921 Total Fees $612.71 Estimated Strategy Capacity $1100000.00 Lowest Capacity Asset SNTG XPY9HNNNXVFP |
#region imports
using System;
using System.Collections;
using System.Collections.Generic;
using System.Linq;
using System.Globalization;
using System.Drawing;
using QuantConnect;
using QuantConnect.Algorithm.Framework;
using QuantConnect.Algorithm.Framework.Selection;
using QuantConnect.Algorithm.Framework.Alphas;
using QuantConnect.Algorithm.Framework.Portfolio;
using QuantConnect.Algorithm.Framework.Execution;
using QuantConnect.Algorithm.Framework.Risk;
using QuantConnect.Parameters;
using QuantConnect.Benchmarks;
using QuantConnect.Brokerages;
using QuantConnect.Util;
using QuantConnect.Interfaces;
using QuantConnect.Algorithm;
using QuantConnect.Indicators;
using QuantConnect.Data;
using QuantConnect.Data.Consolidators;
using QuantConnect.Data.Custom;
using QuantConnect.DataSource;
using QuantConnect.Data.Fundamental;
using QuantConnect.Data.Market;
using QuantConnect.Data.UniverseSelection;
using QuantConnect.Notifications;
using QuantConnect.Orders;
using QuantConnect.Orders.Fees;
using QuantConnect.Orders.Fills;
using QuantConnect.Orders.Slippage;
using QuantConnect.Scheduling;
using QuantConnect.Securities;
using QuantConnect.Securities.Equity;
using QuantConnect.Securities.Future;
using QuantConnect.Securities.Option;
using QuantConnect.Securities.Forex;
using QuantConnect.Securities.Crypto;
using QuantConnect.Securities.Interfaces;
using QuantConnect.Storage;
using QuantConnect.Data.Custom.AlphaStreams;
using QCAlgorithmFramework = QuantConnect.Algorithm.QCAlgorithm;
using QCAlgorithmFrameworkBridge = QuantConnect.Algorithm.QCAlgorithm;
#endregion
namespace QuantConnect.Algorithm.CSharp
{
public class GapUpShort : QCAlgorithm
{
/** REFERENCE LINKS **/
// https://www.quantconnect.com/forum/discussion/4010/pre-market-scanning/p1
// https://www.quantconnect.com/docs/v2/writing-algorithms/reality-modeling/trade-fills/key-concepts
// https://www.quantconnect.com/docs/v2/writing-algorithms/reality-modeling/trade-fills/supported-models
// https://www.quantconnect.com/docs/v2/writing-algorithms/reality-modeling/slippage/key-concepts
/** CONSTANTS **/
private const string BENCHMARK = "SPY";
public const string BUY_TAG = "BUY";
public const string SELL_TAG = "SELL";
private const decimal MINIMUM_GAP_UP_PERCENTAGE = 29;
private const decimal MAXIMUM_MARKET_CAP = 1_000_000_000;
private const decimal MINIMUM_PREMARKET_VOLUME = 500_000;
private const decimal UNIVERSE_ENTRY_CAP = MAXIMUM_MARKET_CAP * 2;
private const decimal MINIMUM_OPEN_PRICE = 2;
private const decimal PERCENT_EXPOSURE_PER_POSITION = 6;
private const decimal STOP_LOSS_PERCENT = 50;
const bool ENABLE_TESTING = true;
/** DATA TRACKERS **/
/// Indicator Data Tracking
List<Symbol> _symbolTracker = new List<Symbol>();
Dictionary<Symbol, SymbolData> _symbolDict = new Dictionary<Symbol, SymbolData>();
Dictionary<Symbol, TradeStruct> _tradeInfo = new Dictionary<Symbol, TradeStruct>();
/** PRIVATE VARS **/
string[] _TestShortsListNov2022 =
{"FRZA", "VRAX", "PKBO", "SNTG", "GCT", "MACK", "SNAL", "QH", "PXMD"}; /// Test Period | Nov 1 2022 - Nov 20 2022
///string[] _TestShortsList = {"AFAQ", "PDSB", "IMMX", "CELZ", "LIXT"};
string[] _TestShortsList = {"LIXT", "MYNZ", "EAR", "ABSI", "TSRI", "IMMX", "SBEV", "BSFC", "APM", "MDJH", "OLB", "VLDR", "RHE", "IPW", "HOOK", "NRGV", "TEN", "INDO", "HUSA", "USEG", "TMC", "USWS", "MARPS", "NINE", "ENSV", "SBFM", "DRCT", "HYMC", "HYMC", "PIK", "CELZ", "IGMS", "ADGI", "CLVS", "LGVN", "MOBQ", "MNTS", "UUU", "BDSX", "STSS", "CYN", "VLON", "VIVK", "COSM", "IDAI", "FNCH", "ZYME", "SNOA", "RVSN", "SIDU", "BBIG", "NURO", "STON", "SPRC", "AMLX", "JAN", "CYRN", "EFOI", "AUVI", "COGT", "KAVL", "EVOK", "ADN", "FSTX", "FSTX", "TBLT", "KZR", "ASPN", "NRSN", "RPID", "IINN", "RFP", "SRG", "HSTO", "GOEV", "HSTO", "GOEV", "USEA", "HUSN", "BWV", "BTTX", "PRPB", "AYLA", "ILAG", "MDIA", "PSTX", "APDN", "XCUR", "GRNA", "NNVC", "SOPA", "NVIV", "IONM", "CLWT", "VCSA", "ARHS", "VEEE", "FRZA", "ARTL", "HIL", "BRSH", "VLCN", "AERI", "SSY", "MGAM", "BRPM", "PXMD", "BIAF", "PIXY", "ETNB", "AKRO", "VRAX", "ATXI", "ABOS", "MOTS", "FXLV", "AIMD", "LITM", "CLAQ", "BEAT", "LUCY", "LASE", "DICE", "HPCO", "IMRA", "RMED", "AVEO", "AKUS", "TSHA", "AGFS", "USER", "NUVL", "BNFT", "SNTG", "IGNY", "MACK", "SNAL", };
/// NYS = NYSE
/// NAS = NASDAQ
/// ASE = AMEX
/// See: https://www.quantconnect.com/forum/discussion/12234/exchange-id-mapping/p1
/// See: https://www.quantconnect.com/forum/discussion/11121/how-to-backtest-and-live-trade-on-chinese-stocks/p1
string[] _ValidExchanges = {"NYS", "NAS", "ASE"};
private DateTime _startDate = new DateTime(2022, 1, 1);
private DateTime _endDate = new DateTime(2022, 11, 20);
private int _accountStartSize = 20_000;
/// Initialize and Prepare Algo
/// Warm-up Data and Indicators
public override void Initialize()
{
/// Date Setup
SetStartDate(_startDate);
SetEndDate(_endDate);
/// Account Setup
SetCash(_accountStartSize);
/// Benchmark Setup
var lBenchmarkSecurity = AddEquity(BENCHMARK, Resolution.Minute);
SetBenchmark(BENCHMARK);
/// Universe Setup
UniverseSettings.Resolution = Resolution.Minute;
UniverseSettings.DataNormalizationMode = DataNormalizationMode.SplitAdjusted;
UniverseSettings.ExtendedMarketHours = true;
EnableAutomaticIndicatorWarmUp = true;
/// SetBrokerageModel(BrokerageName.InteractiveBrokersBrokerage);
AddUniverseSelection(new FineFundamentalUniverseSelectionModel(SelectCoarse, SelectFine));
var lMarketOpenHour = 9;
var lMarketOpenMinute = 30;
Schedule.On(Schedule.DateRules.EveryDay(),
Schedule.TimeRules.At(new TimeSpan(lMarketOpenHour, lMarketOpenMinute, 0)), OnEachMarketOpen);
Schedule.On(Schedule.DateRules.EveryDay(),
Schedule.TimeRules.BeforeMarketClose(BENCHMARK, 1), OnEachMarketClose);
/// Warmup One Week Worth Of Data
SetWarmUp(new TimeSpan(2, 0, 0, 0));
}
public void OnData(TradeBars aTradeBars)
{
/// QuantConnect Seemingly Has a Bug where using StopMarketOrders with
/// a ticker that has the same Open High Low Close, causes erroneous fills
/// so instead I use a direct Liquidation once the high exceeds the stop
foreach(var lKeyValuePair in Portfolio)
{
Symbol lSymbol = lKeyValuePair.Key;
if (aTradeBars.ContainsKey(lSymbol))
{
var lTradeBar = aTradeBars[lSymbol];
if(lKeyValuePair.Value.Invested)
{
if(_tradeInfo.ContainsKey(lSymbol))
{
if(lTradeBar.High > _tradeInfo[lSymbol].StopLoss
/// || lTradeBar.Low < _symbolDict[lSymbol].HourlyTenEma
)
{
Liquidate(lSymbol, tag: BUY_TAG);
Log("Closing Order On: " + lSymbol);
/// DEBUG
/*if(lTradeBar.Low < _symbolDict[lSymbol].HourlyTenEma)
{
Log("Hourly TenEma = " + _symbolDict[lSymbol].HourlyTenEma);
Log("Low = " + lTradeBar.Low);
}*/
///
_tradeInfo.Remove(lSymbol);
}
}
}
}
}
}
public void OnEachMarketClose()
{
/// Cover All Positions At Open
/// Using This Logic In Place of Liquidation to Avoid Cancellation Issues
foreach(var position in _tradeInfo)
{
if(ActiveSecurities[position.Key].Invested)
{
/// Covers at Next Open
/// MarketOnOpenOrder(position.Key, position.Value.ShareQuantity, tag: BUY_TAG);
/// Covers at Close
MarketOrder(position.Key, position.Value.ShareQuantity, tag: BUY_TAG);
Log("Closing Order On: " + position.Key);
}
}
_tradeInfo.Clear();
}
/// Called On Each Open To Execute Gap Up Short Criteria
public void OnEachMarketOpen()
{
/// Ignore Warmup Periods
if(IsWarmingUp) return;
/// Ignore Mondays
if(Time.Day == (int)DayOfWeek.Monday) return;
decimal lGapPercentMultiplier = (100 + MINIMUM_GAP_UP_PERCENTAGE) / 100;
/// Get All Potential Setups
List<Symbol> lPotentialShortSetups = (from pair in ActiveSecurities
where _symbolDict.ContainsKey(pair.Key)
where pair.Value.Fundamentals != null
where pair.Value.Fundamentals.MarketCap <= MAXIMUM_MARKET_CAP
where pair.Value.Close > MINIMUM_OPEN_PRICE
select pair.Key).ToList();
/// Final Selection Process = Check Premarket Volume, We
/// do this last as we have to do a full history request and that is more taxing performance wise
var lPreMarketStartHour = 4;
DateTime lStartTime = new DateTime(Time.Year, Time.Month, Time.Day, lPreMarketStartHour, 0, 0);
List<Symbol> lShortSetups = new List<Symbol>();
foreach(var lSymbol in lPotentialShortSetups)
{
/// Get Historical Data For Checking Prior Highs + Gaps
bool lProperPricing = false;
var lPriorDayBarHistory = History<TradeBar>(lSymbol, new TimeSpan(1,0,0,0), Resolution.Daily);
if(!lPriorDayBarHistory.IsNullOrEmpty())
{
TradeBar lPriorDayBar = lPriorDayBarHistory.First();
if(ActiveSecurities[lSymbol].Close > lPriorDayBar.High &&
ActiveSecurities[lSymbol].Close > lPriorDayBar.Close * lGapPercentMultiplier)
{
lProperPricing = true;
}
}
if(!lProperPricing)
{
continue;
}
/// Get All Premarket Data For Volume Purposes
var lTradeBars = History<TradeBar>(lSymbol, lStartTime, Time);
decimal lTotalVolume = 0;
foreach(var lTradebar in lTradeBars)
{
lTotalVolume += lTradebar.Volume;
}
if(lTotalVolume > MINIMUM_PREMARKET_VOLUME)
{
lShortSetups.Add(lSymbol);
}
}
decimal lCurrentPortfolioValue = Portfolio.TotalPortfolioValue;
foreach(var lSymbolToShort in lShortSetups)
{
/// No Duplicate Trades
if(!ActiveSecurities[lSymbolToShort].Invested)
{
/// Calculate Stop
decimal lStopLoss = ActiveSecurities[lSymbolToShort].Close * ConvertPercentToPositiveMultiplier(STOP_LOSS_PERCENT);
/// Calculate Exposure
var lNumberOfSharesToShort = GetNumberOfSharesToShort(lCurrentPortfolioValue, lSymbolToShort);
/// Track Stop & Number Of Shares to Short
_tradeInfo[lSymbolToShort] = new TradeStruct(lStopLoss, lNumberOfSharesToShort);
/// Place Order Immediately At Open
MarketOrder(lSymbolToShort, -lNumberOfSharesToShort, false, SELL_TAG);
Log("Opening Trade on - " + lSymbolToShort);
if(!_symbolTracker.Contains(lSymbolToShort))
{
_symbolTracker.Add(lSymbolToShort);
}
}
}
}
/// Called At Exit of Algorithm
public override void OnEndOfAlgorithm()
{
string lSymbolsString = "string[] _TestShortsList = {";
foreach(var symbol in _symbolTracker)
{
lSymbolsString += "\"" + symbol.Value + "\", ";
}
lSymbolsString += " };";
Log(lSymbolsString);
base.OnEndOfAlgorithm();
}
/// Called Based On Changes To Current Stock Universe
public override void OnSecuritiesChanged(SecurityChanges changes)
{
// If we have no changes, do nothing
if (changes == SecurityChanges.None) return;
foreach (var security in changes.AddedSecurities)
{
/// Set Leverage to 1 For Added Securities
security.SetLeverage(1);
/// Override QC Default Fill Model
/*security.SetFillModel(new ImmediateFillModel());
security.SetSlippageModel(new ConstantSlippageModel(0));
security.SetFeeModel(new ConstantFeeModel(0));*/
_symbolDict[security.Symbol] = new SymbolData(this, security.Symbol);
}
// If you have a dynamic universe, track removed securities
foreach (var security in changes.RemovedSecurities)
{
if (_symbolDict.TryGetValue(security.Symbol, out var lSymbolData))
{
lSymbolData.Dispose();
_symbolDict.Remove(security.Symbol);
}
}
}
/// Coarse Universe Selector
IEnumerable<Symbol> SelectCoarse(IEnumerable<CoarseFundamental> coarse)
{
var lStocks = (from security in coarse
where security.Volume > 0 && security.Price > 1
where DoesTickerExist(security.Symbol.Value)
select security.Symbol).ToList();
return lStocks;
}
/// Fine Universe Selector
IEnumerable<Symbol> SelectFine(IEnumerable<FineFundamental> fine)
{
var filteredFine =
(from security in fine
where _ValidExchanges.Contains(security.CompanyReference.PrimaryExchangeID)
where security.MarketCap < MAXIMUM_MARKET_CAP
orderby security.MarketCap descending
select security.Symbol).ToList();
return filteredFine;
}
/// If Testing Is Enabled. We Only Run The Code With Our Test List
public bool DoesTickerExist(string ticker)
{
if(!ENABLE_TESTING)
{
return true;
}
bool lTickerExists = false;
foreach(var symbol in _TestShortsList)
{
if(ticker == symbol)
{
lTickerExists = true;
break;
}
}
return lTickerExists;
}
public decimal ConvertPercentToNegativeMultiplier(decimal aPercentage)
{
return aPercentage / 100;
}
public decimal ConvertPercentToPositiveMultiplier(decimal aPercentage)
{
return 1 + (aPercentage / 100);
}
public int GetNumberOfSharesToShort(decimal aCurrentPortfolioValueAtOpen, Symbol aSymbol)
{
decimal lTotalDollarExposure = (aCurrentPortfolioValueAtOpen) * ConvertPercentToNegativeMultiplier(PERCENT_EXPOSURE_PER_POSITION);
int lNumberOfSharesToShort = (int) Math.Round(lTotalDollarExposure / ActiveSecurities[aSymbol].Close);
return lNumberOfSharesToShort;
}
}
public class TradeStruct
{
private decimal _stopLoss;
private decimal _shareQuantity;
public TradeStruct(decimal aStopLoss, decimal aShareQuantity)
{
_stopLoss = aStopLoss;
_shareQuantity = aShareQuantity;
}
public decimal StopLoss
{
get
{
return _stopLoss;
}
}
public decimal ShareQuantity
{
get
{
return _shareQuantity;
}
}
}
/// Handles Tracking Indicators and Warming Up the Data For Indicators as well as
/// attaching to the Algorithm
public class SymbolData
{
private QCAlgorithm _algorithm;
private Symbol _symbol;
private TradeBarConsolidator _consolidator;
private TradeBarConsolidator _hourlyConsolidator;
/// Daily Indicators
public Maximum High;
public Maximum Close;
/// Hourly Indicators
public ExponentialMovingAverage HourlyTenEma;
public SymbolData(QCAlgorithm algorithm, Symbol symbol)
{
_algorithm = algorithm;
_symbol = symbol;
// Create Indicators
High = new Maximum(1);
Close = new Maximum(1);
HourlyTenEma = new ExponentialMovingAverage(10);
// Create a consolidator to update the indicator
_consolidator = new TradeBarConsolidator(TimeSpan.FromDays(1));
_consolidator.DataConsolidated += DailyDataUpdate;
_hourlyConsolidator = new TradeBarConsolidator(TimeSpan.FromHours(1));
_hourlyConsolidator.DataConsolidated += HourlyDataUpdate;
// Register the consolidator to update the indicator
algorithm.SubscriptionManager.AddConsolidator(symbol, _consolidator);
algorithm.SubscriptionManager.AddConsolidator(symbol, _hourlyConsolidator);
// Warm Up Indicators
algorithm.WarmUpIndicator(symbol, High);
algorithm.WarmUpIndicator(symbol, Close);
algorithm.WarmUpIndicator(symbol, HourlyTenEma);
}
/// Updates Indicators that run on specifically at a daily resolution
/// Updates Once a Day
private void DailyDataUpdate(object sender, TradeBar consolidatedBar)
{
High.Update(consolidatedBar.EndTime, consolidatedBar.High);
Close.Update(consolidatedBar.EndTime, consolidatedBar.Close);
}
private void HourlyDataUpdate(object sender, TradeBar consolidatedBar)
{
/// 10 Ema Data Should Only Be Updated Based On The Past 10
/// Hours of Market Time Data, No Premarket or After Hour Session Data
/// This is a workaround for the data pipeline being piped in
if(consolidatedBar.EndTime.Hour < 9 ||
consolidatedBar.EndTime.Hour > 16 ||
(consolidatedBar.EndTime.Hour == 9 && consolidatedBar.EndTime.Minute < 30) ||
(consolidatedBar.EndTime.Hour == 16 && consolidatedBar.EndTime.Minute != 0))
{
return;
}
HourlyTenEma.Update(consolidatedBar.EndTime, consolidatedBar.Close);
}
// If you have a dynamic universe, remove consolidators for the securities removed from the universe
public void Dispose()
{
_algorithm.SubscriptionManager.RemoveConsolidator(_symbol, _consolidator);
}
}
}