2fa9b0b6f7
Some algorithms had dependencies outside of the file that needed to be copied into each project. The alternative here is to move the Bitcoin and QuandlFuture type into Common\Data or similar
204 lines
9.4 KiB
C#
204 lines
9.4 KiB
C#
/*
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* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
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* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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using System;
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using System.Collections.Generic;
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using System.Globalization;
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using Newtonsoft.Json;
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using QuantConnect.Data;
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using QuantConnect.Interfaces;
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namespace QuantConnect.Algorithm.CSharp
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{
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/// <summary>
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/// Regression test to demonstrate importing and trading on custom data.
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/// </summary>
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/// <meta name="tag" content="using data" />
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/// <meta name="tag" content="custom data" />
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/// <meta name="tag" content="crypto" />
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/// <meta name="tag" content="regression test" />
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public class CustomDataRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
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{
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/// <summary>
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/// Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.
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/// </summary>
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public override void Initialize()
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{
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SetStartDate(2011, 9, 13);
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SetEndDate(2015, 12, 01);
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//Set the cash for the strategy:
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SetCash(100000);
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//Define the symbol and "type" of our generic data:
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var resolution = LiveMode ? Resolution.Second : Resolution.Daily;
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AddData<Bitcoin>("BTC", resolution);
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}
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/// <summary>
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/// Event Handler for Bitcoin Data Events: These Bitcoin objects are created from our
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/// "Bitcoin" type below and fired into this event handler.
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/// </summary>
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/// <param name="data">One(1) Bitcoin Object, streamed into our algorithm synchronised in time with our other data streams</param>
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public void OnData(Bitcoin data)
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{
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//If we don't have any bitcoin "SHARES" -- invest"
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if (!Portfolio.Invested)
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{
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//Bitcoin used as a tradable asset, like stocks, futures etc.
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if (data.Close != 0)
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{
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Order("BTC", Portfolio.MarginRemaining / Math.Abs(data.Close + 1));
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}
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}
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}
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/// <summary>
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/// This is used by the regression test system to indicate which languages this algorithm is written in.
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/// </summary>
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public Language[] Languages { get; } = { Language.CSharp, Language.Python };
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/// <summary>
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/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
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/// </summary>
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public Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
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{
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{"Total Trades", "1"},
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{"Average Win", "0%"},
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{"Average Loss", "0%"},
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{"Compounding Annual Return", "155.365%"},
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{"Drawdown", "84.800%"},
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{"Expectancy", "0"},
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{"Net Profit", "5123.170%"},
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{"Sharpe Ratio", "1.2"},
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{"Loss Rate", "0%"},
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{"Win Rate", "0%"},
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{"Profit-Loss Ratio", "0"},
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{"Alpha", "-0.008"},
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{"Beta", "73.725"},
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{"Annual Standard Deviation", "0.84"},
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{"Annual Variance", "0.706"},
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{"Information Ratio", "1.183"},
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{"Tracking Error", "0.84"},
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{"Treynor Ratio", "0.014"},
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{"Total Fees", "$0.00"}
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};
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/// <summary>
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/// Custom Data Type: Bitcoin data from Quandl - http://www.quandl.com/help/api-for-bitcoin-data
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/// </summary>
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public class Bitcoin : BaseData
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{
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[JsonProperty("timestamp")]
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public int Timestamp = 0;
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[JsonProperty("open")]
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public decimal Open = 0;
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[JsonProperty("high")]
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public decimal High = 0;
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[JsonProperty("low")]
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public decimal Low = 0;
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[JsonProperty("last")]
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public decimal Close = 0;
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[JsonProperty("bid")]
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public decimal Bid = 0;
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[JsonProperty("ask")]
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public decimal Ask = 0;
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[JsonProperty("vwap")]
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public decimal WeightedPrice = 0;
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[JsonProperty("volume")]
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public decimal VolumeBTC = 0;
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public decimal VolumeUSD = 0;
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/// <summary>
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/// 1. DEFAULT CONSTRUCTOR: Custom data types need a default constructor.
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/// We search for a default constructor so please provide one here. It won't be used for data, just to generate the "Factory".
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/// </summary>
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public Bitcoin()
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{
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Symbol = "BTC";
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}
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/// <summary>
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/// 2. RETURN THE STRING URL SOURCE LOCATION FOR YOUR DATA:
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/// 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.
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/// We can accept raw text or ZIP files. We read the file extension to determine if it is a zip file.
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/// </summary>
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/// <param name="config">Configuration object</param>
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/// <param name="date">Date of this source file</param>
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/// <param name="isLiveMode">true if we're in live mode, false for backtesting mode</param>
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/// <returns>String URL of source file.</returns>
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public override SubscriptionDataSource GetSource(SubscriptionDataConfig config, DateTime date, bool isLiveMode)
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{
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if (isLiveMode)
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{
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return new SubscriptionDataSource("https://www.bitstamp.net/api/ticker/", SubscriptionTransportMedium.Rest);
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}
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//return "http://my-ftp-server.com/futures-data-" + date.ToString("Ymd") + ".zip";
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// OR simply return a fixed small data file. Large files will slow down your backtest
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return new SubscriptionDataSource("https://www.quandl.com/api/v3/datasets/BCHARTS/BITSTAMPUSD.csv?order=asc", SubscriptionTransportMedium.RemoteFile);
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}
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/// <summary>
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/// 3. READER METHOD: Read 1 line from data source and convert it into Object.
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/// Each line of the CSV File is presented in here. The backend downloads your file, loads it into memory and then line by line
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/// feeds it into your algorithm
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/// </summary>
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/// <param name="line">string line from the data source file submitted above</param>
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/// <param name="config">Subscription data, symbol name, data type</param>
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/// <param name="date">Current date we're requesting. This allows you to break up the data source into daily files.</param>
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/// <param name="isLiveMode">true if we're in live mode, false for backtesting mode</param>
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/// <returns>New Bitcoin Object which extends BaseData.</returns>
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public override BaseData Reader(SubscriptionDataConfig config, string line, DateTime date, bool isLiveMode)
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{
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var coin = new Bitcoin();
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if (isLiveMode)
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{
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//Example Line Format:
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//{"high": "441.00", "last": "421.86", "timestamp": "1411606877", "bid": "421.96", "vwap": "428.58", "volume": "14120.40683975", "low": "418.83", "ask": "421.99"}
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try
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{
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coin = JsonConvert.DeserializeObject<Bitcoin>(line);
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coin.EndTime = DateTime.UtcNow.ConvertFromUtc(config.ExchangeTimeZone);
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coin.Value = coin.Close;
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}
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catch { /* Do nothing, possible error in json decoding */ }
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return coin;
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}
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//Example Line Format:
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//Date Open High Low Close Volume (BTC) Volume (Currency) Weighted Price
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//2011-09-13 5.8 6.0 5.65 5.97 58.37138238, 346.0973893944 5.929230648356
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try
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{
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string[] data = line.Split(',');
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coin.Time = DateTime.Parse(data[0], CultureInfo.InvariantCulture);
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coin.Open = Convert.ToDecimal(data[1], CultureInfo.InvariantCulture);
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coin.High = Convert.ToDecimal(data[2], CultureInfo.InvariantCulture);
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coin.Low = Convert.ToDecimal(data[3], CultureInfo.InvariantCulture);
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coin.Close = Convert.ToDecimal(data[4], CultureInfo.InvariantCulture);
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coin.VolumeBTC = Convert.ToDecimal(data[5], CultureInfo.InvariantCulture);
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coin.VolumeUSD = Convert.ToDecimal(data[6], CultureInfo.InvariantCulture);
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coin.WeightedPrice = Convert.ToDecimal(data[7], CultureInfo.InvariantCulture);
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coin.Value = coin.Close;
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}
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catch { /* Do nothing, skip first title row */ }
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return coin;
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}
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}
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}
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}
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