| Overall Statistics |
|
Total Orders 1170 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Start Equity 100000 End Equity 72530 Net Profit 0% Sharpe Ratio 0 Sortino Ratio 0 Probabilistic Sharpe Ratio 0% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0 Annual Variance 0 Information Ratio 0 Tracking Error 0 Treynor Ratio 0 Total Fees $10140.00 Estimated Strategy Capacity $110000.00 Lowest Capacity Asset AAPL YLZ9ZF8ASHQE|AAPL R735QTJ8XC9X Portfolio Turnover 1373.12% |
#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.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.Algorithm.CSharp
{
public class FocusedGreenWhale : QCAlgorithm
{
private Symbol _optionSymbol;
private int ComboOrderQuantity { get; } = 10;
private List<Leg> OrderLegs { get; set; }
private List<OrderTicket> Tickets { get; set; }
bool _isPlaceFirstTime;
bool _isPlaceSecondTime;
public override void Initialize()
{
SetStartDate(2024, 9, 15);
SetCash(100000);
var equity = AddEquity("AAPL");
var option = AddOption(equity.Symbol);
_optionSymbol = option.Symbol;
option.SetFilter(u => u.Strikes(-2, +2)
.Expiration(0, 180));
SetWarmUp(TimeSpan.FromDays(2));
}
/// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
/// Slice object keyed by symbol containing the stock data
public override void OnData(Slice slice)
{
if (IsWarmingUp)
{
return;
}
if (OrderLegs == null && !_isPlaceFirstTime)
{
if (IsMarketOpen(_optionSymbol) && slice.OptionChains.TryGetValue(_optionSymbol, out var chain))
{
var callContracts = chain.Where(contract => contract.Right == OptionRight.Call)
.GroupBy(x => x.Expiry)
.OrderBy(grouping => grouping.Key)
.First()
.OrderBy(x => x.Strike)
.ToList();
// Let's wait until we have at least three contracts
if (callContracts.Count < 3)
{
return;
}
OrderLegs = new List<Leg>()
{
Leg.Create(callContracts[0].Symbol, 1),
Leg.Create(callContracts[1].Symbol, -2),
Leg.Create(callContracts[2].Symbol, 1)
};
Tickets = ComboMarketOrder(OrderLegs, ComboOrderQuantity).ToList();
}
_isPlaceFirstTime = true;
return;
}
if (!_isPlaceSecondTime)
{
_isPlaceSecondTime = true;
Tickets = ComboMarketOrder(OrderLegs, ComboOrderQuantity * -1).ToList();
}
else
{
_isPlaceSecondTime = false;
Tickets = ComboMarketOrder(OrderLegs, ComboOrderQuantity).ToList();
}
}
}
}