| Overall Statistics |
|
Total Trades 62 Average Win 1.02% Average Loss -1.93% Compounding Annual Return -82.049% Drawdown 26.300% Expectancy -0.407 Net Profit -22.393% Sharpe Ratio -4.637 Loss Rate 61% Win Rate 39% Profit-Loss Ratio 0.53 Alpha -1.659 Beta -0.011 Annual Standard Deviation 0.357 Annual Variance 0.128 Information Ratio -3.315 Tracking Error 0.412 Treynor Ratio 147.977 Total Fees $62.00 |
using System;
using System.Collections.Generic;
using System.Linq;
using QuantConnect.Data.Market;
using QuantConnect.Data.UniverseSelection;
namespace QuantConnect.Algorithm.CSharp
{
public class CoarseFundamentalTop5Algorithm : QCAlgorithm
{
// initialize our security changes to nothing
DateTime lastTradeTime;
SecurityChanges _changes = SecurityChanges.None;
static readonly decimal EqualWeightPercentage = 1m/3;
public override void Initialize()
{
SetBrokerageModel(BrokerageName.TradierBrokerage, AccountType.Cash);
// this sets the resolution for securities added via universe selection
UniverseSettings.Resolution = Resolution.Second;
SetStartDate(2016, 1, 1);
SetEndDate(DateTime.Now.Date.AddDays(-1));
SetCash(5000);
foreach (var symbol in _changes.AddedSecurities)
{
var myString = symbol.ToString();
AddSecurity(SecurityType.Equity, myString, Resolution.Minute,
fillDataForward: true,
extendedMarketHours: false,
leverage: 1
);
}
// this add universe method accepts a single parameter that is a function that
// accepts an IEnumerable<CoarseFundamental> and returns IEnumerable<Symbol>
AddUniverse(CoarseSelectionFunction);
}
// sort the data by daily dollar volume and take the top 5 symbols
public static IEnumerable<Symbol> CoarseSelectionFunction(IEnumerable<CoarseFundamental> coarse)
{
return (from stock in coarse
orderby stock.Price
//function that sorts by percent change
//where stock.Price > stock.Price - stock.Value / stock.Price ??
where stock.Price < 5 && stock.Price > 2
select stock.Symbol).Take(1);
}
//Data Event Handler: New data arrives here. "TradeBars" type is a dictionary of strings so you can access it by symbol.
public void OnData(TradeBars data)
{
if (Time - lastTradeTime.Date < TimeSpan.FromDays(1))
{
// only trade once a day at market open
return;
}
lastTradeTime = Time;
// if we have no changes, do nothing
if (_changes == SecurityChanges.None) return;
// liquidate removed securities
/*foreach (var security in _changes.RemovedSecurities)
{
if (security.Invested)
{
Liquidate(security.Symbol);
}
}*/
foreach (var security in _changes.AddedSecurities)
{
//var symbolToday = Convert.ToString(_changes.AddedSecurities);
//Log("" + symbolToday);
var equalWeightedPorfolioSize = Portfolio.TotalPortfolioValue/3;
var shareCount = CalculateOrderQuantity(security.Symbol, EqualWeightPercentage);
//SetHoldings(security.Symbol, 0.25m);
MarketOrder(security.Symbol, shareCount, tag: "Order Target Value: $" + Math.Round(equalWeightedPorfolioSize, 2));
MarketOnCloseOrder(security.Symbol, -shareCount);
// submit market on close to liquidate at EOD
}
// you can access the settled only funds using the CashBook
var settledCash = Portfolio.CashBook["USD"].Amount;
// you can access the unsettled fund using the UnsettledCashBook
var unsettledCash = Portfolio.UnsettledCashBook["USD"].Amount;
_changes = SecurityChanges.None;
}
// this event fires whenever we have changes to our universe
public override void OnSecuritiesChanged(SecurityChanges changes)
{
_changes = changes;
}
public override void OnEndOfDay()
{
// at the end of each day log the state of our settled and unsettled cashbooks
Log(string.Empty);
Log("-------------------"+Time.Date.ToShortDateString()+"-------------------");
Log("SETTLED::");
var settled = Portfolio.CashBook.ToString();
foreach (var line in settled.Split('\n'))
{
Log(" " + line);
}
Log(string.Empty);
Log(string.Empty);
Log("UNSETTLED::");
var unsettled = Portfolio.UnsettledCashBook.ToString();
foreach (var line in unsettled.Split('\n'))
{
Log(" " + line);
}
}
}
}