| Overall Statistics |
|
Total Orders 3 Average Win 0% Average Loss 0% Compounding Annual Return 0.169% Drawdown 0.400% Expectancy 0 Start Equity 100000 End Equity 100601.04 Net Profit 0.601% Sharpe Ratio -16.528 Sortino Ratio -19.581 Probabilistic Sharpe Ratio 24.476% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.029 Beta 0.012 Annual Standard Deviation 0.002 Annual Variance 0 Information Ratio -0.736 Tracking Error 0.137 Treynor Ratio -2.304 Total Fees $0.00 Estimated Strategy Capacity $2200000000.00 Lowest Capacity Asset SPY R735QTJ8XC9X Portfolio Turnover 0.00% |
#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.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.Interfaces;
using QuantConnect.Securities.Volatility;
using QuantConnect.Storage;
using QuantConnect.Statistics;
using QCAlgorithmFramework = QuantConnect.Algorithm.QCAlgorithm;
using QCAlgorithmFrameworkBridge = QuantConnect.Algorithm.QCAlgorithm;
#endregion
namespace QuantConnect.Algorithm.CSharp
{
public class AlpacaBrokerageExampleAlgorithm : QCAlgorithm
{
private Symbol _symbol;
public override void Initialize()
{
SetStartDate(2021, 1, 1);
SetCash(100000);
SetBrokerageModel(BrokerageName.Alpaca, AccountType.Margin);
_symbol = AddEquity("SPY", Resolution.Minute).Symbol;
// Set default order properties
DefaultOrderProperties.TimeInForce = TimeInForce.Day;
}
public override void OnData(Slice data)
{
if (Portfolio.Invested)
{
return;
}
// Place an order with the default order properties
MarketOrder(_symbol, 1);
// Place an order with new order properties
var orderProperties = new OrderProperties { TimeInForce = TimeInForce.GoodTilCanceled };
var ticket = LimitOrder(_symbol, 1, data[_symbol].Price * 0.9m, orderProperties: orderProperties);
// Update the order quantity
ticket.Cancel();
ticket = LimitOrder(_symbol, 2, data[_symbol].Price * 0.9m, orderProperties: orderProperties);
// Update the order fields that are not the quantity
var orderFields = new UpdateOrderFields {
LimitPrice = data[_symbol].Price * 1.05m,
Tag = "Informative order tag"
};
var response = ticket.Update(orderFields);
if (!LiveMode && response.IsSuccess)
{
Debug("Order updated successfully");
}
}
}
}