Files
quantconnect--lean/Algorithm.CSharp/BasicSetAccountCurrencyWithAmountAlgorithm.cs
T
Ricardo Andrés Marino Rojas b14bda2dc0
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Add SetAccountCurrency() override (#7284)
* Add SetAccountCurrency overload

- Add SetAccountCurrencyOverload to allow the user to set also account
  currency quantity
- Add regression and unit tests to cover the changes

* Add regression algos

* Simplifiy SetAccountCurrency implementation

* Minor changes

* Minor changes
2023-06-01 17:44:45 -03:00

84 lines
3.2 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.Collections.Generic;
using QuantConnect.Interfaces;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// Basic algorithm using SetAccountCurrency with an amount
/// </summary>
public class BasicSetAccountCurrencyWithAmountAlgorithm : BasicSetAccountCurrencyAlgorithm, IRegressionAlgorithmDefinition
{
public override void SetAccountCurrency()
{
//Before setting any cash or adding a Security call SetAccountCurrency
SetAccountCurrency("EUR", 200000);
}
/// <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>
/// Data Points count of all timeslices of algorithm
/// </summary>
public long DataPoints => 4319;
/// <summary>
/// Data Points count of the algorithm history
/// </summary>
public int AlgorithmHistoryDataPoints => 120;
/// <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", "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", "€596.71"},
{"Estimated Strategy Capacity", "€85000.00"},
{"Lowest Capacity Asset", "BTCEUR XJ"},
{"Portfolio Turnover", "107.64%"},
{"OrderListHash", "af1850fbc1faefaf2da98080e92c43a0"}
};
}
}