Files
quantconnect--lean/Algorithm.CSharp/BasicTemplateFuturesHistoryAlgorithm.cs
T
Gerardo Salazar 8c6aa6a3b3 Refactors Capacity Estimation and moves estimation to main event loop (#5351)
* Adds CapacityEstimate and SymbolCapacity

  The capacity estimation has been moved from
  the report generator and wired directly into
  Lean via the ResultHandler. In addition,
  the capacity estimation strategy has changed
  to account for errors in the previous iteration
  of the capacity estimation.

  Many many thanks to Jared for being much of the
  mastermind behind this project. It would have
  been harder to complete without him to bounce ideas
  off of.

  * Moves old tests to regression algorithms
  * Adds Estimated Capacity statistic
  * Removes old capacity estimation tests

Final report capacity estimation. Pushing to save state

* Fixes bugs, cleans up code and adds comments

  * Adds forced sampling to Capacity Estimation
  * Misc. bug fixes for daily data

* Updates capacity test cases' Estimated Strategy Capacity statistic

* Adds Capacity Estimate to all regression algorithms

* Removes Report's StrategyCapacity class and fixes bug in tests

  * Adds null check in BacktestingResultHandler to fix
    BacktestingTransactionHandler failing tests

  * Deletes old capacity estimation classes

  * Retrieve capacity estimates from backtest statistics results
    instead of calculating at runtime

* Make $0.00 capacity return as "-" and Result = 0 in report

* Adds capacity to runtime statistics

* Converts capacity to number denoted by financial figures in RuntimeStats

* Addresses review: code cleanup for Capacity and adds comments to regression tests
2021-03-02 18:46:31 -03:00

187 lines
7.4 KiB
C#

/*
* 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.Linq;
using QuantConnect.Data;
using QuantConnect.Orders;
using QuantConnect.Securities;
using QuantConnect.Data.UniverseSelection;
using QuantConnect.Interfaces;
using System.Collections.Generic;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// This example demonstrates how to get access to futures history for a given root symbol.
/// It also shows how you can prefilter contracts easily based on expirations, and inspect the futures
/// chain to pick a specific contract to trade.
/// </summary>
/// <meta name="tag" content="using data" />
/// <meta name="tag" content="history and warm up" />
/// <meta name="tag" content="history" />
/// <meta name="tag" content="futures" />
public class BasicTemplateFuturesHistoryAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
// S&P 500 EMini futures
private string [] roots = new []
{
Futures.Indices.SP500EMini,
Futures.Metals.Gold,
};
private int _successCount = 0;
public override void Initialize()
{
SetStartDate(2013, 10, 8);
SetEndDate(2013, 10, 9);
SetCash(1000000);
foreach (var root in roots)
{
// set our expiry filter for this futures chain
AddFuture(root, Resolution.Minute).SetFilter(TimeSpan.Zero, TimeSpan.FromDays(182));
}
SetBenchmark(d => 1000000);
Schedule.On(DateRules.EveryDay(), TimeRules.Every(TimeSpan.FromHours(1)), MakeHistoryCall);
}
private void MakeHistoryCall()
{
var history = History(10, Resolution.Minute);
if (history.Count() < 10)
{
throw new Exception($"Empty history at {Time}");
}
_successCount++;
}
public override void OnEndOfAlgorithm()
{
if (_successCount < 49)
{
throw new Exception($"Scheduled Event did not assert history call as many times as expected: {_successCount}/49");
}
}
/// <summary>
/// Event - v3.0 DATA EVENT HANDLER: (Pattern) Basic template for user to override for receiving all subscription data in a single event
/// </summary>
/// <param name="slice">The current slice of data keyed by symbol string</param>
public override void OnData(Slice slice)
{
if (!Portfolio.Invested)
{
foreach (var chain in slice.FutureChains)
{
foreach (var contract in chain.Value)
{
Log($"{contract.Symbol.Value}," +
$"Bid={contract.BidPrice.ToStringInvariant()} " +
$"Ask={contract.AskPrice.ToStringInvariant()} " +
$"Last={contract.LastPrice.ToStringInvariant()} " +
$"OI={contract.OpenInterest.ToStringInvariant()}"
);
}
}
}
}
public override void OnSecuritiesChanged(SecurityChanges changes)
{
foreach (var change in changes.AddedSecurities)
{
var history = History(change.Symbol, 10, Resolution.Minute);
foreach (var data in history.OrderByDescending(x => x.Time).Take(3))
{
Log("History: " + data.Symbol.Value + ": " + data.Time + " > " + data.Close);
}
}
}
/// <summary>
/// Order fill event handler. On an order fill update the resulting information is passed to this method.
/// </summary>
/// <param name="orderEvent">Order event details containing details of the evemts</param>
/// <remarks>This method can be called asynchronously and so should only be used by seasoned C# experts. Ensure you use proper locks on thread-unsafe objects</remarks>
public override void OnOrderEvent(OrderEvent orderEvent)
{
Log(orderEvent.ToString());
}
/// <summary>
/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm.
/// </summary>
public bool CanRunLocally { get; } = true;
/// <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", "0"},
{"Average Win", "0%"},
{"Average Loss", "0%"},
{"Compounding Annual Return", "0%"},
{"Drawdown", "0%"},
{"Expectancy", "0"},
{"Net Profit", "0%"},
{"Sharpe Ratio", "0"},
{"Probabilistic Sharpe Ratio", "0%"},
{"Loss Rate", "0%"},
{"Win Rate", "0%"},
{"Profit-Loss Ratio", "0"},
{"Alpha", "0"},
{"Beta", "0"},
{"Annual Standard Deviation", "0"},
{"Annual Variance", "0"},
{"Information Ratio", "0"},
{"Tracking Error", "0"},
{"Treynor Ratio", "0"},
{"Total Fees", "$0.00"},
{"Estimated Strategy Capacity", "$0"},
{"Fitness Score", "0"},
{"Kelly Criterion Estimate", "0"},
{"Kelly Criterion Probability Value", "0"},
{"Sortino Ratio", "79228162514264337593543950335"},
{"Return Over Maximum Drawdown", "79228162514264337593543950335"},
{"Portfolio Turnover", "0"},
{"Total Insights Generated", "0"},
{"Total Insights Closed", "0"},
{"Total Insights Analysis Completed", "0"},
{"Long Insight Count", "0"},
{"Short Insight Count", "0"},
{"Long/Short Ratio", "100%"},
{"Estimated Monthly Alpha Value", "$0"},
{"Total Accumulated Estimated Alpha Value", "$0"},
{"Mean Population Estimated Insight Value", "$0"},
{"Mean Population Direction", "0%"},
{"Mean Population Magnitude", "0%"},
{"Rolling Averaged Population Direction", "0%"},
{"Rolling Averaged Population Magnitude", "0%"},
{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
};
}
}