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Arrows & Curves Strategy
Overview
This strategy is a conversion of the MQL5 expert advisor Exp_Arrows_Curves .
It builds a dynamic price channel using recent highs and lows and reacts to
breakouts. The strategy can open or close positions depending on user
permissions and trend direction.
Strategy Logic
Calculate highest high and lowest low over the configured period.
Expand the range by a percentage to form outer channel lines.
Create inner stop lines using an additional percentage.
When price breaks above the upper channel, go long; when it breaks below
the lower channel, go short.
Inner stop lines trigger position exits when the opposite side of the
channel is crossed.
Parameters
SspPeriod – lookback period for highs and lows.
Channel – expansion percentage for main channel lines.
StopChannel – additional percent used for inner stop lines.
CandleType – candle timeframe.
BuyPosOpen / SellPosOpen – allow opening long/short positions.
BuyPosClose / SellPosClose – allow closing long/short positions.
Indicators
Notes
The strategy operates on finished candles only. Stop loss and take profit
management are not included; exits rely on channel crossings.
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>
/// Channel breakout strategy using Highest/Lowest midpoint crossing.
/// </summary>
public class ArrowsCurvesStrategy : Strategy
{
private readonly StrategyParam<int> _period;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevHigh;
private decimal _prevLow;
private bool _hasPrev;
public int Period { get => _period.Value; set => _period.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public ArrowsCurvesStrategy()
{
_period = Param(nameof(Period), 20)
.SetGreaterThanZero()
.SetDisplay("Period", "Channel period", "Parameters");
_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();
_prevHigh = 0;
_prevLow = 0;
_hasPrev = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var highest = new Highest { Length = Period };
var lowest = new Lowest { Length = Period };
SubscribeCandles(CandleType)
.Bind(highest, lowest, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal high, decimal low)
{
if (candle.State != CandleStates.Finished) return;
if (!_hasPrev)
{
_prevHigh = high;
_prevLow = low;
_hasPrev = true;
return;
}
var close = candle.ClosePrice;
if (close > _prevHigh && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (close < _prevLow && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevHigh = high;
_prevLow = low;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import Highest, Lowest
from StockSharp.Algo.Strategies import Strategy
class arrows_curves_strategy(Strategy):
def __init__(self):
super(arrows_curves_strategy, self).__init__()
self._period = self.Param("Period", 20) .SetDisplay("Period", "Channel lookback period", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) .SetDisplay("Candle Type", "Candle type", "General")
self._prev_high = 0.0
self._prev_low = 0.0
self._has_prev = False
@property
def period(self):
return self._period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(arrows_curves_strategy, self).OnReseted()
self._prev_high = 0.0
self._prev_low = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(arrows_curves_strategy, self).OnStarted2(time)
highest = Highest()
highest.Length = self.period
lowest = Lowest()
lowest.Length = self.period
self.SubscribeCandles(self.candle_type).Bind(highest, lowest, self.process_candle).Start()
def process_candle(self, candle, high, low):
if candle.State != CandleStates.Finished:
return
hv = float(high)
lv = float(low)
if not self._has_prev:
self._prev_high = hv
self._prev_low = lv
self._has_prev = True
return
close = float(candle.ClosePrice)
if close > self._prev_high and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif close < self._prev_low and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_high = hv
self._prev_low = lv
def CreateClone(self):
return arrows_curves_strategy()