| Overall Statistics |
|
Total Orders 13341 Average Win 0.02% Average Loss -0.01% Compounding Annual Return -3.240% Drawdown 13.200% Expectancy -0.115 Net Profit -4.574% Sharpe Ratio -0.467 Sortino Ratio -0.673 Probabilistic Sharpe Ratio 4.757% Loss Rate 81% Win Rate 19% Profit-Loss Ratio 3.61 Alpha -0.007 Beta -0.281 Annual Standard Deviation 0.089 Annual Variance 0.008 Information Ratio -0.55 Tracking Error 0.299 Treynor Ratio 0.149 Total Fees $13219.00 Estimated Strategy Capacity $1900000.00 Lowest Capacity Asset JG WWHT0YOVJBL1 Portfolio Turnover 2.77% |
#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 QuiverWallStreetBetsDataAlgorithm : QCAlgorithm
{
public override void Initialize()
{
SetStartDate(2019, 1, 1);
SetEndDate(2020, 6, 1);
SetCash(100000);
UniverseSettings.Resolution = Resolution.Daily;
// add a custom universe data source (defaults to usa-equity)
AddUniverse<QuiverWallStreetBetsUniverse>("QuiverWallStreetBetsUniverse", Resolution.Daily, altCoarse =>
{
foreach (var datum in altCoarse)
{
Log($"{datum.Symbol},{datum.Mentions},{datum.Rank},{datum.Sentiment}");
}
// define our selection criteria
return from d in altCoarse
where d.Mentions > 10 && d.Rank < 100
select d.Symbol;
});
}
public override void OnData(Slice slice)
{
var points = slice.Get<QuiverWallStreetBets>();
foreach (var point in points.Values)
{
var symbol = point.Symbol.Underlying;
// Buy if the stock was mentioned more than 5 times in the WallStreetBets daily discussion
if (point.Mentions > 5 && !Portfolio[symbol].IsLong)
{
MarketOrder(symbol, 1);
}
// Otherwise, short sell
else if (point.Mentions <= 5 && !Portfolio[symbol].IsShort)
{
MarketOrder(symbol, -1);
}
}
}
public override void OnSecuritiesChanged(SecurityChanges changes)
{
foreach(var added in changes.AddedSecurities)
{
// Requesting data
var quiverWSBSymbol = AddData<QuiverWallStreetBets>(added.Symbol).Symbol;
// Historical data
var history = History<QuiverWallStreetBets>(quiverWSBSymbol, 60, Resolution.Daily);
Debug($"We got {history.Count()} items from our history request");
}
}
}
}