| Overall Statistics |
|
Total Orders 129 Average Win 0% Average Loss 0% Compounding Annual Return -4.711% Drawdown 13.700% Expectancy 0 Start Equity 100000 End Equity 95305.47 Net Profit -4.695% Sharpe Ratio -0.357 Sortino Ratio -0.458 Probabilistic Sharpe Ratio 7.465% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0.028 Beta 0.551 Annual Standard Deviation 0.123 Annual Variance 0.015 Information Ratio 0.822 Tracking Error 0.105 Treynor Ratio -0.08 Total Fees $129.00 Estimated Strategy Capacity $60000000.00 Lowest Capacity Asset SPY R735QTJ8XC9X Portfolio Turnover 0.29% |
#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 SPYInvestmentAlgorithm : QCAlgorithm
{
private Symbol _spy;
private decimal _investmentAmount = 1000m;
public override void Initialize()
{
SetStartDate(2022, 1, 1);
SetEndDate(2022, 12, 31);
SetCash(100000);
_spy = AddEquity("SPY", Resolution.Minute).Symbol;
// Set a warm-up period to ensure we have sufficient historical data
SetWarmUp(TimeSpan.FromDays(1));
Schedule.On(DateRules.EveryDay(), TimeRules.At(15, 55), CheckAndInvest);
}
private void CheckAndInvest()
{
if (IsWarmingUp) return;
var history = History(_spy, 2, Resolution.Daily).ToList();
if (history.Count < 2) return;
var closeYesterday = history[0].Close;
var currentPrice = Securities[_spy].Price;
// Check if prices are valid before calculating change
if (closeYesterday > 0 && currentPrice > 0)
{
var change = (currentPrice - closeYesterday) / closeYesterday;
if (change <= -0.01m)
{
var quantity = Math.Floor(_investmentAmount / currentPrice);
if (quantity > 0)
{
Buy(_spy, quantity);
Log($"Invested ${_investmentAmount} in SPY: {change:P2} change, bought {quantity} shares");
}
}
}
else
{
Log("Invalid price data. Skipping investment check.");
}
}
}
}