/*
 * QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
 * Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
*/

using System;
using System.Collections.Generic;

namespace QuantConnect.Algorithm.CSharp
{
    /// <summary>
    /// Regression test to demonstrate importing and trading on custom data.
    /// </summary>
    /// <meta name="tag" content="using data" />
    /// <meta name="tag" content="custom data" />
    /// <meta name="tag" content="crypto" />
    /// <meta name="tag" content="regression test" />
    public class CustomDataRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
    {
        /// <summary>
        /// Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.
        /// </summary>
        public override void Initialize()
        {
            SetStartDate(2011, 9, 13);
            SetEndDate(2015, 12, 01);

            //Set the cash for the strategy:
            SetCash(100000);

            //Define the symbol and "type" of our generic data:
            var resolution = LiveMode ? Resolution.Second : Resolution.Daily;
            AddData<Bitcoin>("BTC", resolution);
        }

        /// <summary>
        /// Event Handler for Bitcoin Data Events: These Bitcoin objects are created from our
        /// "Bitcoin" type below and fired into this event handler.
        /// </summary>
        /// <param name="data">One(1) Bitcoin Object, streamed into our algorithm synchronised in time with our other data streams</param>
        public void OnData(Bitcoin data)
        {
            //If we don't have any bitcoin "SHARES" -- invest"
            if (!Portfolio.Invested)
            {
                //Bitcoin used as a tradable asset, like stocks, futures etc.
                if (data.Close != 0)
                {
                    Order("BTC", Portfolio.MarginRemaining / Math.Abs(data.Close + 1));
                }
            }
        }

        /// <summary>
        /// This is used by the regression test system to indicate which languages this algorithm is written in.
        /// </summary>
        public Language[] Languages { get; } = { Language.CSharp, Language.Python };

        /// <summary>
        /// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
        /// </summary>
        public Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
        {
            {"Total Trades", "1"},
            {"Average Win", "0%"},
            {"Average Loss", "0%"},
            {"Compounding Annual Return", "155.365%"},
            {"Drawdown", "84.800%"},
            {"Expectancy", "0"},
            {"Net Profit", "5123.170%"},
            {"Sharpe Ratio", "1.2"},
            {"Loss Rate", "0%"},
            {"Win Rate", "0%"},
            {"Profit-Loss Ratio", "0"},
            {"Alpha", "-0.008"},
            {"Beta", "73.725"},
            {"Annual Standard Deviation", "0.84"},
            {"Annual Variance", "0.706"},
            {"Information Ratio", "1.183"},
            {"Tracking Error", "0.84"},
            {"Treynor Ratio", "0.014"},
            {"Total Fees", "$0.00"}
        };
    }
}