Overall Statistics |
Total Trades 0 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Net Profit 0% Sharpe Ratio NaN Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0 Annual Variance 0 Information Ratio NaN Tracking Error NaN Treynor Ratio NaN |
using System; using System.Collections; using System.Collections.Generic; using QuantConnect.Securities; using QuantConnect.Models; namespace QuantConnect { // Name your algorithm class anything, as long as it inherits QCAlgorithm public class BasicTemplateAlgorithm : QCAlgorithm { decimal open = 0m; decimal close = 0m; private Consolidator oneDayConsol; //Initialize the data and resolution you require for your strategy: public override void Initialize() { SetStartDate(2014, 12, 01); SetEndDate(2014, 12, 03); SetCash(1000); AddSecurity(SecurityType.Equity, "SPY", Resolution.Second); oneDayConsol = new Consolidator(TimeSpan.FromDays(1)); Log("ACTUAL VALUES:"); Log("12/01/14: Open: 206.40, Close: 205.76"); Log("12/02/14: Open: 205.81, Close: 207.09"); //Log("12/03/14: Open: 207.30, Close: 207.89"); Log("===================================="); Log("EVALUATED VALUES:"); } //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) { TradeBar SPY = data["SPY"]; if (SPY.Time.Hour == 9 && SPY.Time.Minute == 30 && SPY.Time.Second == 00) { open = Math.Round(SPY.Price,2); } else if (SPY.Time.Hour == 15 && SPY.Time.Minute == 59 && SPY.Time.Second == 59) { close = Math.Round(SPY.Price,2); Log("TIME: Open: " + open.ToString() + " Close: " + close.ToString()); } if (oneDayConsol.Update(SPY)) { Log("CONSOL: Open: " + Math.Round(oneDayConsol.Bar.Open,2).ToString() + " Close: " + Math.Round(oneDayConsol.Bar.Close,2).ToString()); Log("------------------------------------"); } } } }
using System; using System.Collections; using System.Collections.Generic; using QuantConnect.Securities; using QuantConnect.Models; namespace QuantConnect { /* * TimeSpanConsolidator Helper Routine: Assemble generic timespan bar lengths: e.g. 10 minutes: * * 1. Setup the new Consolidator class with the timespan period: * var _consolidator = new Consolidator(TimeSpan.FromMinutes(10)); * * 2. Add in the data with the update routine. It will return true when bar ready * if (_consolidator.Update(data["MSFT"])) { UseBar } */ public class Consolidator { private TradeBar _resultBar; private TradeBar _workingBar; private DateTime _start; private TimeSpan _period; //Result: public TradeBar Bar { get { return _resultBar; } } //Constructor: Set the period we'd like to scan public Consolidator(TimeSpan span) { this._period = span; this._resultBar = new TradeBar(); this._workingBar = new TradeBar(new DateTime(), "", Decimal.Zero, Decimal.MinValue, Decimal.MaxValue, 0, 0); } //Submit this bar, return true if we've started a new one. public bool Update(TradeBar newBar) { //Intialize: if (_start == new DateTime()) { _start = newBar.Time; } //While we're less than end date, keep adding to this bar: if (newBar.Time < (_start + _period)) { //Building bar: AddToBar(newBar); return false; } else { //Completed bar: start new one: _resultBar = _workingBar; //Create a new bar: _workingBar = new TradeBar(newBar.Time, newBar.Symbol, Decimal.Zero, Decimal.MinValue, Decimal.MaxValue, 0, 0); //Start of this bar: _start = newBar.Time; AddToBar(newBar); return true; } } //Add to a tradebar private void AddToBar(TradeBar newBar) { //Add this data to working bar: if (_workingBar.Time == new DateTime()) _workingBar.Time = newBar.Time; if (_workingBar.Symbol == "") _workingBar.Symbol = newBar.Symbol; if (_workingBar.Open == Decimal.Zero) _workingBar.Open = newBar.Open; if (newBar.High > _workingBar.High) _workingBar.High = newBar.High; if (newBar.Low < _workingBar.Low) _workingBar.Low = newBar.Low; _workingBar.Close = newBar.Close; _workingBar.Volume = newBar.Volume; } } }