| Overall Statistics |
|
Total Orders 0 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Start Equity 100000 End Equity 100000 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 $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset Portfolio Turnover 0% |
#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 AdaptableSkyBlueChinchilla : QCAlgorithm
{
public override void Initialize()
{
SetStartDate(2024, 2, 19);
SetEndDate(2024, 2, 20);
SetCash(100000);
// var option = AddOption("SPY", Resolution.Daily).Symbol;
var spy = AddEquity("SPY", Resolution.Daily).Symbol;
// Strikes with IV 0
var strikes = new decimal[] { 516.0m, 522.0m, 524.0m, 526.0m, 528.0m, 532.0m, 534.0m, 536.0m, 538.0m };
var processingDate = new DateTime(2024, 2, 7);
var contracts = OptionChainProvider.GetOptionContractList(spy, processingDate)
.Where(x => x.ID.Date == new DateTime(2024, 2, 9) && strikes.Contains(x.ID.StrikePrice))
.ToList();
foreach (var contract in contracts)
{
Log(contract.Value);
}
// AddOptionContract(contract, Resolution.Daily);
var history = History(contracts, new DateTime(2024, 2, 1), new DateTime(2024, 2, 15), Resolution.Daily).ToList();
if (history.Count == 0)
{
// throw new Exception("Empty history");
}
var foundList = contracts.ToDictionary(x => x, x => false);
foreach (var data in history)
{
foreach (var datum in data.AllData.Where(x => x.EndTime == processingDate))
{
foundList[datum.Symbol] = true;
}
}
var notFound = foundList.Where(kvp => !kvp.Value).OrderBy(kvp => kvp.Key.ID.StrikePrice).Select(kvp => kvp.Key.Value).ToList();
if (notFound.Count > 0)
{
// throw new Exception($"Data not found for {notFound.Count}/{contracts.Count} contracts:\n{string.Join("\n", notFound)}");
}
}
/// 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 data)
{
// foreach (var d in data.AllData/*.Where(x => x.Symbol.SecurityType.IsOption())*/)
// {
// var time = d.Time;
// var endTime = d.EndTime;
// Log($"[{d.Time} - {d.EndTime}] :: {d.Symbol} :: {d}");
// }
// Log("-------------------");
}
}
}