| Overall Statistics |
|
Total Orders 1 Average Win 0% Average Loss 0% Compounding Annual Return -51.376% Drawdown 13.200% Expectancy 0 Net Profit -5.319% Sharpe Ratio -1.956 Sortino Ratio -2.66 Probabilistic Sharpe Ratio 12.920% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.11 Beta 1 Annual Standard Deviation 0.2 Annual Variance 0.04 Information Ratio -1.486 Tracking Error 0.074 Treynor Ratio -0.39 Total Fees $2.90 Estimated Strategy Capacity $62000000.00 Lowest Capacity Asset AAPL R735QTJ8XC9X Portfolio Turnover 3.54% |
#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
using QuantConnect.DataSource;
namespace QuantConnect.DataLibrary.Tests
{
public class QuiverInsiderTradingAlgorithm : QCAlgorithm
{
private Symbol _symbol, _datasetSymbol;
public override void Initialize()
{
SetStartDate(2022, 2, 1); //Set Start Date
SetEndDate(2022, 2, 28); //Set End Date
_symbol = AddEquity("AAPL").Symbol;
_datasetSymbol = AddData<QuiverInsiderTrading>(_symbol).Symbol;
// history request
var history = History<QuiverInsiderTrading>(new[] {_datasetSymbol}, 10, Resolution.Daily);
Debug($"We got {history.Count()} items from historical data request of {_datasetSymbol}.");
}
public override void OnData(Slice slice)
{
foreach (var kvp in slice.Get<QuiverInsiderTrading>())
{
foreach (QuiverInsiderTrading insiderTrade in kvp.Value)
{
// based on the custom data property we will buy or short the underlying equity
if (insiderTrade.Shares > 0)
{
SetHoldings(_symbol, 1);
}
else
{
Liquidate(_symbol);
}
}
}
}
}
}