/*
* 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 Newtonsoft.Json;
using QuantConnect.Statistics;
using System.Collections.Generic;
using QuantConnect.Optimizer.Parameters;
using QuantConnect.Util;
namespace QuantConnect.Api
{
///
/// A power gauge for backtests, time and parameters to estimate the overfitting risk
///
public class ResearchGuide
{
///
/// Number of minutes used in developing the current backtest
///
public int Minutes { get; set; }
///
/// The quantity of backtests run in the project
///
public int BacktestCount { get; set; }
///
/// Number of parameters detected
///
public int Parameters { get; set; }
///
/// Project ID
///
public int ProjectId { get; set; }
}
///
/// Base class for backtest result object response
///
public class BasicBacktest : RestResponse
{
///
/// Backtest error message
///
public string Error { get; set; }
///
/// Backtest error stacktrace
///
public string Stacktrace { get; set; }
///
/// Assigned backtest Id
///
public string BacktestId { get; set; }
///
/// Status of the backtest
///
public string Status { get; set; }
///
/// Name of the backtest
///
public string Name { get; set; }
///
/// Backtest creation date and time
///
[JsonConverter(typeof(DateTimeJsonConverter), DateFormat.UI)]
public DateTime Created { get; set; }
///
/// Progress of the backtest in percent 0-1.
///
public decimal Progress { get; set; }
///
/// Optimization task ID, if the backtest is part of an optimization
///
public string OptimizationId { get; set; }
///
/// Number of tradeable days
///
public int TradeableDates { get; set; }
///
/// Optimization parameters
///
public ParameterSet ParameterSet { get; set; }
///
/// Snapshot id of this backtest result
///
public int SnapShotId { get; set; }
}
///
/// Results object class. Results are exhaust from backtest or live algorithms running in LEAN
///
public class Backtest : BasicBacktest
{
///
/// Note on the backtest attached by the user
///
public string Note { get; set; }
///
/// Boolean true when the backtest is completed.
///
public bool Completed { get; set; }
///
/// Organization ID
///
public string OrganizationId { get; set; }
///
/// Rolling window detailed statistics.
///
[JsonProperty(NullValueHandling = NullValueHandling.Ignore)]
public Dictionary RollingWindow { get; set; }
///
/// Total algorithm performance statistics.
///
[JsonProperty(NullValueHandling = NullValueHandling.Ignore)]
public AlgorithmPerformance TotalPerformance { get; set; }
///
/// Charts updates for the live algorithm since the last result packet
///
[JsonProperty(NullValueHandling = NullValueHandling.Ignore)]
public IDictionary Charts { get; set; }
///
/// Statistics information sent during the algorithm operations.
///
/// Intended for update mode -- send updates to the existing statistics in the result GUI. If statistic key does not exist in GUI, create it
[JsonProperty(NullValueHandling = NullValueHandling.Ignore)]
public IDictionary Statistics { get; set; }
///
/// Runtime banner/updating statistics in the title banner of the live algorithm GUI.
///
[JsonProperty(NullValueHandling = NullValueHandling.Ignore)]
public IDictionary RuntimeStatistics { get; set; }
///
/// A power gauge for backtests, time and parameters to estimate the overfitting risk
///
public ResearchGuide ResearchGuide { get; set; }
///
/// The starting time of the backtest
///
public DateTime? BacktestStart { get; set; }
///
/// The ending time of the backtest
///
public DateTime? BacktestEnd { get; set; }
///
/// Indicates if the backtest has error during initialization
///
public bool HasInitializeError { get; set; }
///
/// The backtest node name
///
public string NodeName { get; set; }
///
/// The associated project id
///
public int ProjectId { get; set; }
///
/// End date of out of sample data
///
public DateTime? OutOfSampleMaxEndDate { get; set; }
///
/// Number of days of out of sample days
///
public int? OutOfSampleDays { get; set; }
}
///
/// Result object class for the List Backtest response from the API
///
public class BacktestSummary : BasicBacktest
{
///
/// Sharpe ratio with respect to risk free rate: measures excess of return per unit of risk
///
public decimal? SharpeRatio { get; set; }
///
/// Algorithm "Alpha" statistic - abnormal returns over the risk free rate and the relationshio (beta) with the benchmark returns
///
public decimal? Alpha { get; set; }
///
/// Algorithm "beta" statistic - the covariance between the algorithm and benchmark performance, divided by benchmark's variance
///
public decimal? Beta { get; set; }
///
/// Annual compounded returns statistic based on the final-starting capital and years
///
public decimal? CompoundingAnnualReturn { get; set; }
///
/// Drawdown maximum percentage
///
public decimal? Drawdown { get; set; }
///
/// The ratio of the number of losing trades to the total number of trades
///
public decimal? LossRate { get; set; }
///
/// Net profit percentage
///
public decimal? NetProfit { get; set; }
///
/// Number of parameters in the backtest
///
public int? Parameters { get; set; }
///
/// Price-to-sales ratio
///
public decimal? Psr { get; set; }
///
/// SecurityTypes present in the backtest
///
public string? SecurityTypes { get; set; }
///
/// Sortino ratio with respect to risk free rate: measures excess of return per unit of downside risk
///
public decimal? SortinoRatio { get; set; }
///
/// Number of trades in the backtest
///
public int? Trades { get; set; }
///
/// Treynor ratio statistic is a measurement of the returns earned in excess of that which could have been earned on an investment that has no diversifiable risk
///
public decimal? TreynorRatio { get; set; }
///
/// The ratio of the number of winning trades to the total number of trades
///
public decimal? WinRate { get; set; }
///
/// Collection of tags for the backtest
///
public List Tags { get; set; }
}
///
/// Wrapper class for Backtest/* endpoints JSON response
/// Currently used by Backtest/Read and Backtest/Create
///
public class BacktestResponseWrapper : RestResponse
{
///
/// Backtest Object
///
public Backtest Backtest { get; set; }
///
/// Indicates if the backtest is run under debugging mode
///
public bool Debugging { get; set; }
}
///
/// Collection container for a list of backtests for a project
///
public class BacktestList : RestResponse
{
///
/// Collection of summarized backtest objects
///
public List Backtests { get; set; }
}
///
/// Collection container for a list of backtest summaries for a project
///
public class BacktestSummaryList : RestResponse
{
///
/// Collection of summarized backtest summary objects
///
public List Backtests { get; set; }
///
/// Number of backtest summaries retrieved in the response
///
public int Count { get; set; }
}
///
/// Collection container for a list of backtest tags
///
public class BacktestTags : RestResponse
{
///
/// Collection of tags for a backtest
///
public List Tags { get; set; }
}
}