Overall Statistics |
Total Trades 1 Average Win 0% Average Loss 0% Compounding Annual Return 740.658% Drawdown 51.500% Expectancy 0 Net Profit 0% Sharpe Ratio 2.189 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 1.889 Beta -0.373 Annual Standard Deviation 0.832 Annual Variance 0.693 Information Ratio 1.952 Tracking Error 0.841 Treynor Ratio -4.883 Total Fees $0.00 |
using Newtonsoft.Json; namespace QuantConnect { /// <summary> /// Custom Data Type: Bitcoin data from Quandl - http://www.quandl.com/help/api-for-bitcoin-data /// </summary> public class Bitcoin : BaseData { //Set the defaults: /// <summary> /// Open Price /// </summary> public decimal Open = 0; /// <summary> /// High Price /// </summary> public decimal High = 0; /// <summary> /// Low Price /// </summary> public decimal Low = 0; /// <summary> /// Closing Price /// </summary> public decimal Close = 0; /// <summary> /// Volume in BTC /// </summary> public decimal VolumeBTC = 0; /// <summary> /// Volume in USD /// </summary> public decimal VolumeUSD = 0; /// <summary> /// Volume in USD: /// </summary> public decimal WeightedPrice = 0; /// <summary> /// 1. DEFAULT CONSTRUCTOR: Custom data types need a default constructor. /// We search for a default constructor so please provide one here. It won't be used for data, just to generate the "Factory". /// </summary> public Bitcoin() { Symbol = "BTC"; } /// <summary> /// 2. RETURN THE STRING URL SOURCE LOCATION FOR YOUR DATA: /// This is a powerful and dynamic select source file method. If you have a large dataset, 10+mb we recommend you break it into smaller files. E.g. One zip per year. /// We can accept raw text or ZIP files. We read the file extension to determine if it is a zip file. /// </summary> /// <param name="config">Configuration object</param> /// <param name="date">Date of this source file</param> /// <param name="isLiveMode">true if we're in live mode, false for backtesting mode</param> /// <returns>String URL of source file.</returns> public override SubscriptionDataSource GetSource(SubscriptionDataConfig config, DateTime date, bool isLiveMode) { if (isLiveMode) { return new SubscriptionDataSource("https://www.bitstamp.net/api/ticker/", SubscriptionTransportMedium.Rest); } //return "http://my-ftp-server.com/futures-data-" + date.ToString("Ymd") + ".zip"; // OR simply return a fixed small data file. Large files will slow down your backtest return new SubscriptionDataSource("http://www.quandl.com/api/v1/datasets/BITCOIN/BITSTAMPUSD.csv?sort_order=asc", SubscriptionTransportMedium.RemoteFile); } /// <summary> /// 3. READER METHOD: Read 1 line from data source and convert it into Object. /// Each line of the CSV File is presented in here. The backend downloads your file, loads it into memory and then line by line /// feeds it into your algorithm /// </summary> /// <param name="line">string line from the data source file submitted above</param> /// <param name="config">Subscription data, symbol name, data type</param> /// <param name="date">Current date we're requesting. This allows you to break up the data source into daily files.</param> /// <param name="isLiveMode">true if we're in live mode, false for backtesting mode</param> /// <returns>New Bitcoin Object which extends BaseData.</returns> public override BaseData Reader(SubscriptionDataConfig config, string line, DateTime date, bool isLiveMode) { var coin = new Bitcoin(); if (isLiveMode) { //Example Line Format: //{"high": "441.00", "last": "421.86", "timestamp": "1411606877", "bid": "421.96", "vwap": "428.58", "volume": "14120.40683975", "low": "418.83", "ask": "421.99"} try { var liveBTC = JsonConvert.DeserializeObject<LiveBitcoin>(line); coin.Time = DateTime.Now; coin.Open = liveBTC.Last; coin.High = liveBTC.High; coin.Low = liveBTC.Low; coin.Close = liveBTC.Last; coin.VolumeBTC = liveBTC.Volume; coin.WeightedPrice = liveBTC.VWAP; coin.Symbol = "BTC"; coin.Value = coin.Close; } catch { /* Do nothing, possible error in json decoding */ } return coin; } //Example Line Format: //Date Open High Low Close Volume (BTC) Volume (Currency) Weighted Price //2011-09-13 5.8 6.0 5.65 5.97 58.37138238, 346.0973893944 5.929230648356 try { string[] data = line.Split(','); coin.Time = DateTime.Parse(data[0]); coin.Open = Convert.ToDecimal(data[1], CultureInfo.InvariantCulture); coin.High = Convert.ToDecimal(data[2], CultureInfo.InvariantCulture); coin.Low = Convert.ToDecimal(data[3], CultureInfo.InvariantCulture); coin.Close = Convert.ToDecimal(data[4], CultureInfo.InvariantCulture); coin.VolumeBTC = Convert.ToDecimal(data[5], CultureInfo.InvariantCulture); coin.VolumeUSD = Convert.ToDecimal(data[6], CultureInfo.InvariantCulture); coin.WeightedPrice = Convert.ToDecimal(data[7], CultureInfo.InvariantCulture); coin.Symbol = "BTC"; coin.Value = coin.Close; } catch { /* Do nothing, skip first title row */ } return coin; } } /// <summary> /// Live data structure /// </summary> public class LiveBitcoin { public int Timestamp = 0; public decimal Last = 0; public decimal High = 0; public decimal Low = 0; public decimal Bid = 0; public decimal Ask = 0; public decimal VWAP = 0; public decimal Volume = 0; } }
using Newtonsoft.Json; namespace QuantConnect { /* * QuantConnect University - Example of Hooking up Custom Live Data * * There are many great API's for live bitcoin data - including "bitstamp". In this algorithm * we connect the live datafeed of bitstamp to a QuantConnect algorithm and can make trading * decisions based on the custom datafeed. * * Currently only polling REST API's supported but we will soon add support for socket connections. * * SEE BITCOIN.CS FOR THE LIVE DATA IMPLEMENTATION */ public class BTCLive : QCAlgorithm { //Initialize the data and resolution you require for your strategy: public override void Initialize() { var res = Resolution.Second; SetStartDate(2013,01,01); SetEndDate(2014,01,01); AddData<Bitcoin>("BTC", res); SetCash(10000); } //New Bitcoin Data Event: public void OnData(Bitcoin data) { if (!Portfolio.Invested) Order("BTC", 100); //Generate running statistic for headers. if (LiveMode) { SetRuntimeStatistic("BTC", data.Close.ToString("C")); } } //Unused OnData TradeBars public void OnData(TradeBars data) { } } }