| Overall Statistics |
|
Total Orders 0 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 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 -4.873 Tracking Error 0.116 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.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 QuantConnect.Data.Custom.AlphaStreams;
using QCAlgorithmFramework = QuantConnect.Algorithm.QCAlgorithm;
using QCAlgorithmFrameworkBridge = QuantConnect.Algorithm.QCAlgorithm;
#endregion
namespace QuantConnect.Algorithm.CSharp
{
public class CustomDividendYieldModelAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private Dictionary<Symbol, Delta> _deltas = new();
private Dictionary<Symbol, MyDividendYieldModel> _dividendYieldModel = new();
public override void Initialize()
{
SetStartDate(2024, 2, 5);
SetEndDate(2024, 2, 22);
SetCash(100000);
var option = AddOption("MSFT");
option.SetFilter(0,1,0,31);
_symbol = option.Symbol;
_dividendYieldModel[_symbol.Underlying] = new MyDividendYieldModel();
}
public override void OnData(Slice data)
{
if (!data.OptionChains.TryGetValue(_symbol, out var chain)) return;
var expiry = chain.Min(x => x.Expiry);
chain
.Where(x => x.Expiry == expiry && x.Right == OptionRight.Call && !_deltas.ContainsKey(x.Symbol))
.Select(x => x.Symbol)
.DoForEach(x => _deltas[x] = CreateDeltaIndicator(x));
}
private Delta CreateDeltaIndicator(Symbol symbol)
{
var dividendYieldModel = _dividendYieldModel[symbol.Underlying];
var delta = new Delta(symbol.Value, symbol, RiskFreeInterestRateModel, dividendYieldModel);
RegisterIndicator(symbol, delta, Resolution.Minute);
RegisterIndicator(symbol.Underlying, delta, Resolution.Minute);
return delta;
}
public override void OnEndOfDay(Symbol symbol)
{
if (_deltas.TryGetValue(symbol, out var delta))
{
Plot("Delta", symbol.Value, delta.Current.Value);
}
}
}
public class MyDividendYieldModel : IDividendYieldModel
{
public decimal GetDividendYield(DateTime date)
{
return 0.02m;
}
}
}