| Overall Statistics |
|
Total Orders 79 Average Win 9.54% Average Loss -2.55% Compounding Annual Return 8.020% Drawdown 39.400% Expectancy 0.242 Start Equity 100000 End Equity 111569.07 Net Profit 11.569% Sharpe Ratio 0.278 Sortino Ratio 0.388 Probabilistic Sharpe Ratio 15.815% Loss Rate 74% Win Rate 26% Profit-Loss Ratio 3.74 Alpha 0.092 Beta 0.079 Annual Standard Deviation 0.366 Annual Variance 0.134 Information Ratio -0.05 Tracking Error 0.422 Treynor Ratio 1.296 Total Fees $581.07 Estimated Strategy Capacity $290000000.00 Lowest Capacity Asset AAPL R735QTJ8XC9X Portfolio Turnover 12.28% |
#region imports
using System;
using System.Collections;
using System.Collections.Generic;
using System.Linq;
using System.Globalization;
using System.Drawing;
using QuantConnect;
using System.Text.RegularExpressions;
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
{
public class QuiverCongressDataAlgorithm : QCAlgorithm
{
public override void Initialize()
{
SetStartDate(2019, 1, 1);
SetEndDate(2020, 6, 1);
SetCash(100000);
// Requesting data
var security = AddEquity("AAPL", Resolution.Daily);
security.SetBuyingPowerModel(BuyingPowerModel.Null);
var quiverCongressSymbol = AddData<QuiverCongress>(security.Symbol).Symbol;
// Historical data
var history = History<QuiverCongress>(quiverCongressSymbol, 60, Resolution.Daily);
Debug($"We got {history.Count()} items from our history request");
}
public override void OnData(Slice slice)
{
var congressBySymbol = slice.Get<QuiverCongress>();
// Determine net direction of Congress trades for each security
var netQuantityBySymbol = new Dictionary<Symbol, decimal>();
foreach (var (s, points) in congressBySymbol)
{
var symbol = s.Underlying;
if (!netQuantityBySymbol.ContainsKey(symbol))
{
netQuantityBySymbol[symbol] = 0m;
}
foreach(QuiverCongressDataPoint point in points)
{
netQuantityBySymbol[symbol] += (point.Transaction == OrderDirection.Buy ? 1 : -1) * (point.Amount ?? 0m);
}
}
foreach (var (symbol, netQuantity) in netQuantityBySymbol)
{
if (netQuantity == 0)
{
Liquidate(symbol);
continue;
}
Transactions.CancelOpenOrders(symbol, "Overriding order");
// Buy when Congress members have bought, short otherwise
SetHoldings(symbol, netQuantity > 0 ? 1 : -1);
}
}
}
}