| Overall Statistics |
|
Total Orders 4 Average Win 0% Average Loss -0.01% Compounding Annual Return -80.256% Drawdown 2.600% Expectancy -1 Net Profit -2.632% Sharpe Ratio -5.305 Sortino Ratio -7.205 Probabilistic Sharpe Ratio 0.381% Loss Rate 100% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.987 Beta -0.617 Annual Standard Deviation 0.142 Annual Variance 0.02 Information Ratio -1.172 Tracking Error 0.322 Treynor Ratio 1.224 Total Fees $3.33 Estimated Strategy Capacity $760000000.00 Lowest Capacity Asset SPY R735QTJ8XC9X Portfolio Turnover 16.58% |
#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 RegalyticsDataAlgorithm : QCAlgorithm
{
private readonly string[] _negativeSentimentPhrases = new [] {"emergency rule", "proposed rule change", "development of rulemaking"};
private Symbol _symbol, _regalyticsSymbol;
public override void Initialize()
{
SetStartDate(2022, 7, 10);
SetEndDate(2022, 7, 15);
SetCash(100000);
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
// Requesting data
_regalyticsSymbol = AddData<RegalyticsRegulatoryArticles>("REG").Symbol;
// Historical data
var history = History<RegalyticsRegulatoryArticles>(_regalyticsSymbol, 7, Resolution.Daily);
Debug($"We got {history.Count()} items from our history request");
}
public override void OnData(Slice slice)
{
var data = slice.Get<RegalyticsRegulatoryArticles>();
if (!data.IsNullOrEmpty())
{
foreach (var articles in data.Values)
{
Log($"{Time} {articles.ToString()}");
if (_negativeSentimentPhrases.Any(p => articles.Any(x =>
((RegalyticsRegulatoryArticle) x).Title.ToLower().Contains(p))))
{
SetHoldings(_symbol, -1);
}
else
{
SetHoldings(_symbol, 1);
}
}
}
}
}
}