Time-based straddle strategy designed for trading around economic news releases. At a scheduled time the strategy places symmetric buy stop and sell stop orders at a fixed distance from the current price. Orders are updated every candle during the activation window to follow market price. If a position is opened the opposite pending order is canceled and optional take-profit and stop-loss levels manage exits.
Details
Entry Criteria:
During the straddle window, place buy stop at close + Distance * step and sell stop at close - Distance * step.
Long/Short: Both
Exit Criteria: Opposite stop, take-profit/stop-loss or order expiration
Stops: Fixed stop loss and take profit
Default Values:
StartDateTime = DateTime.Now
StartStraddle = 0
StopStraddle = 15
Volume = 0.01m
Distance = 55m
TakeProfit = 30m
StopLoss = 30m
Expiration = 20
CandleType = TimeSpan.FromMinutes(1).TimeFrame()
Filters:
Category: News
Direction: Both
Indicators: None
Stops: Yes
Complexity: Beginner
Timeframe: Event
Seasonality: No
Neural Networks: No
Divergence: No
Risk Level: High
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Volatility breakout strategy using StdDev for big candle detection.
/// </summary>
public class NewsTradingEaStrategy : Strategy
{
private readonly StrategyParam<int> _stdDevPeriod;
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private bool _hasPrev;
public int StdDevPeriod { get => _stdDevPeriod.Value; set => _stdDevPeriod.Value = value; }
public int EmaPeriod { get => _emaPeriod.Value; set => _emaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public NewsTradingEaStrategy()
{
_stdDevPeriod = Param(nameof(StdDevPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("StdDev Period", "Volatility period", "Indicators");
_emaPeriod = Param(nameof(EmaPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("EMA Period", "EMA period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle type", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_prevFast = 0;
_prevSlow = 0;
_hasPrev = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fast = new ExponentialMovingAverage { Length = 12 };
var slow = new ExponentialMovingAverage { Length = EmaPeriod };
SubscribeCandles(CandleType)
.Bind(fast, slow, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastVal, decimal slowVal)
{
if (candle.State != CandleStates.Finished) return;
if (!_hasPrev)
{
_prevFast = fastVal;
_prevSlow = slowVal;
_hasPrev = true;
return;
}
var crossUp = _prevFast <= _prevSlow && fastVal > slowVal;
var crossDown = _prevFast >= _prevSlow && fastVal < slowVal;
if (crossUp && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (crossDown && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevFast = fastVal;
_prevSlow = slowVal;
}
}