| 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 0.719 Tracking Error 0.081 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset Portfolio Turnover 0% Drawdown Recovery 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.Portfolio.SignalExports;
using QuantConnect.Algorithm.Framework.Execution;
using QuantConnect.Algorithm.Framework.Risk;
using QuantConnect.Algorithm.Selection;
using QuantConnect.Api;
using QuantConnect.Parameters;
using QuantConnect.Benchmarks;
using QuantConnect.Brokerages;
using QuantConnect.Commands;
using QuantConnect.Configuration;
using QuantConnect.Util;
using QuantConnect.Interfaces;
using QuantConnect.Algorithm;
using QuantConnect.Indicators;
using QuantConnect.Data;
using QuantConnect.Data.Auxiliary;
using QuantConnect.Data.Consolidators;
using QuantConnect.Data.Custom;
using QuantConnect.Data.Custom.IconicTypes;
using QuantConnect.DataSource;
using QuantConnect.Data.Fundamental;
using QuantConnect.Data.Market;
using QuantConnect.Data.Shortable;
using QuantConnect.Data.UniverseSelection;
using QuantConnect.Notifications;
using QuantConnect.Orders;
using QuantConnect.Orders.Fees;
using QuantConnect.Orders.Fills;
using QuantConnect.Orders.OptionExercise;
using QuantConnect.Orders.Slippage;
using QuantConnect.Orders.TimeInForces;
using QuantConnect.Python;
using QuantConnect.Scheduling;
using QuantConnect.Securities;
using QuantConnect.Securities.Equity;
using QuantConnect.Securities.Future;
using QuantConnect.Securities.Option;
using QuantConnect.Securities.Positions;
using QuantConnect.Securities.Forex;
using QuantConnect.Securities.Crypto;
using QuantConnect.Securities.CryptoFuture;
using QuantConnect.Securities.IndexOption;
using QuantConnect.Securities.Interfaces;
using QuantConnect.Securities.Volatility;
using QuantConnect.Storage;
using QuantConnect.Statistics;
using QCAlgorithmFramework = QuantConnect.Algorithm.QCAlgorithm;
using QCAlgorithmFrameworkBridge = QuantConnect.Algorithm.QCAlgorithm;
using Calendar = QuantConnect.Data.Consolidators.Calendar;
#endregion
namespace QuantConnect.Algorithm.CSharp
{
public class DeterminedBrownGiraffe : QCAlgorithm
{
private List<SymbolData> _symbolData = new();
public override void Initialize()
{
SetStartDate(2025, 9, 20);
SetCash(100000);
var nvdlEquity = AddEquity("NVDL", Resolution.Minute);
var spyEquity = AddEquity("SPY", Resolution.Minute);
_symbolData.Add(new SymbolData(this,nvdlEquity,1));
_symbolData.Add(new SymbolData(this,nvdlEquity,4));
}
}
public class SymbolData{
private readonly IDataConsolidator _consolidator;
private readonly QCAlgorithm _algo;
private readonly Symbol _symbol;
public SymbolData(QCAlgorithm algo,Equity equity, int consolidationTime)
{
_algo = algo;
_symbol = equity.Symbol;
_consolidator = new TradeBarConsolidator(TimeSpan.FromMinutes(consolidationTime));
_consolidator.DataConsolidated += ConsolidationHandler;
algo.SubscriptionManager.AddConsolidator(equity.Symbol,_consolidator);
}
private void ConsolidationHandler(object sender, IBaseData consolidated)
{
var bar = (TradeBar)consolidated;
if(bar.Time.TimeOfDay <= new TimeSpan(9,30,0))
_algo.Log($"Bar for {_symbol} is {bar.Time} {bar.EndTime} O={bar.Open:F3} H={bar.High:F3} L={bar.Low:F3} C={bar.Close:F3} V={bar.Volume}");
}
}
}