| Overall Statistics |
|
Total Orders 296 Average Win 0.15% Average Loss -0.07% Compounding Annual Return 44.862% Drawdown 10.800% Expectancy 1.685 Net Profit 44.862% Sharpe Ratio 1.806 Sortino Ratio 2.18 Probabilistic Sharpe Ratio 81.782% Loss Rate 15% Win Rate 85% Profit-Loss Ratio 2.17 Alpha 0.047 Beta 1.255 Annual Standard Deviation 0.155 Annual Variance 0.024 Information Ratio 1.082 Tracking Error 0.087 Treynor Ratio 0.223 Total Fees $313.48 Estimated Strategy Capacity $270000000.00 Lowest Capacity Asset BYND X45I7544YKIT Portfolio Turnover 1.73% |
#region imports
using System;
using System.Collections;
using System.Collections.Generic;
using System.Linq;
using System.Globalization;
using System.Drawing;
using QuantConnect;
using System.Text.RegularExpressions;
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.Algorithm.Selection;
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 QCAlgorithmFramework = QuantConnect.Algorithm.QCAlgorithm;
using QCAlgorithmFrameworkBridge = QuantConnect.Algorithm.QCAlgorithm;
#endregion
namespace QuantConnect
{
public class SECReport8KAlgorithm : QCAlgorithm
{
private Dictionary<Symbol, Symbol> _datasetSymbolBySymbol = new Dictionary<Symbol, Symbol>();
private List<Symbol> _longSymbols = new List<Symbol>();
private bool _rebalance = false;
public override void Initialize()
{
SetStartDate(2019, 1, 1);
SetEndDate(2019, 12, 31);
SetCash(100000);
UniverseSettings.Resolution = Resolution.Daily;
AddUniverse(CoarseSelector);
// Request underlying equity data.
var ibm = AddEquity("IBM", Resolution.Daily).Symbol;
// Add SEC report 10-Q data for the underlying IBM asset
var earningsFiling = AddData<SECReport10Q>(ibm, Resolution.Daily).Symbol;
// Request 120 days of history with the SECReport10Q IBM custom data Symbol.
var history = History<SECReport10Q>(earningsFiling, 120, Resolution.Daily);
// Count the number of items we get from our history request
Debug($"We got {history.Count()} items from our history request");
}
public IEnumerable<Symbol> CoarseSelector(IEnumerable<CoarseFundamental> coarse)
{
return coarse.Where(x => x.HasFundamentalData)
.OrderByDescending(x => x.DollarVolume)
.Take(10).Select(x => x.Symbol);
}
public override void OnData(Slice slice)
{
// Get all SEC data and loop over it
foreach (var report in slice.Get<SECReport8K>().Values)
{
var underlyingSymbol = report.Symbol.Underlying;
// Skip the Symbol if it's no longer in the universe
if (!_datasetSymbolBySymbol.ContainsKey(underlyingSymbol))
{
if (_longSymbols.Contains(underlyingSymbol))
{
_rebalance = true;
_longSymbols.Remove(underlyingSymbol);
}
continue;
}
// Get the length of all contents contained within the report
var reportTextLength = report.Report.Documents.Select(x => x.Text.Length).Sum();
if (reportTextLength > 20000)
{
if (!_longSymbols.Contains(underlyingSymbol))
{
_rebalance = true;
_longSymbols.Add(underlyingSymbol);
}
}
else if (_longSymbols.Contains(underlyingSymbol))
{
_rebalance = true;
_longSymbols.Remove(underlyingSymbol);
}
}
if (!_rebalance)
{
return;
}
_rebalance = false;
var portfolioTargets = new List<PortfolioTarget>();
var equalWeighting = _longSymbols.Count > 0 ? 1.0m / _longSymbols.Count : 0m;
foreach (var kvp in Portfolio)
{
var symbol = kvp.Key;
var securityHolding = kvp.Value;
var weight = 0m;
if (_longSymbols.Contains(symbol))
{
weight = equalWeighting;
}
else if (!securityHolding.Invested)
{
continue;
}
portfolioTargets.Add(new PortfolioTarget(symbol, weight));
}
SetHoldings(portfolioTargets);
}
public override void OnSecuritiesChanged(SecurityChanges changes)
{
foreach (var security in changes.AddedSecurities)
{
// If added to universe, adds SECReport8K
_datasetSymbolBySymbol[security.Symbol] = AddData<SECReport8K>(security.Symbol).Symbol;
}
foreach (var security in changes.RemovedSecurities)
{
Symbol reportSymbol;
if (_datasetSymbolBySymbol.TryGetValue(security.Symbol, out reportSymbol))
{
RemoveSecurity(reportSymbol);
_datasetSymbolBySymbol.Remove(security.Symbol);
}
}
}
}
}