Breakouts With Timefilter Strategy
Breakout strategy that enters on price crossing above recent highs or below recent lows within a specified trading session. An optional moving average filter confirms direction. Stop-loss can be based on ATR, candle extremes, or fixed points with a configurable risk-reward target.
Details
- Entry Criteria:
- Long: Close > highest high over
Lengthand within time window; optionally Close > MA. - Short: Close < lowest low over
Lengthand within time window; optionally Close < MA.
- Long: Close > highest high over
- Long/Short: Both
- Stops: ATR, candle-based, or fixed points with risk-reward target
- Default Values:
Length= 5MaLength= 99UseMaFilter= falseUseTimeFilter= true (14:30–15:00)SlType= AtrSlLength= 0AtrLength= 14AtrMultiplier= 0.5PointsStop= 50RiskReward= 3CandleType= TimeSpan.FromMinutes(5).TimeFrame()
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Breakout strategy with ATR-based stop and take profit.
/// </summary>
public class BreakoutsWithTimeFilterStrategy : Strategy
{
private readonly StrategyParam<int> _length;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<decimal> _atrMultiplier;
private readonly StrategyParam<decimal> _riskReward;
private AverageTrueRange _atr;
private decimal _stopLevel;
private decimal _targetLevel;
private readonly List<decimal> _highs = new();
private readonly List<decimal> _lows = new();
public int Length { get => _length.Value; set => _length.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public decimal AtrMultiplier { get => _atrMultiplier.Value; set => _atrMultiplier.Value = value; }
public decimal RiskReward { get => _riskReward.Value; set => _riskReward.Value = value; }
public BreakoutsWithTimeFilterStrategy()
{
_length = Param(nameof(Length), 20)
.SetDisplay("Length", "Lookback period for breakout levels", "General")
.SetOptimize(5, 50, 5);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
_atrMultiplier = Param(nameof(AtrMultiplier), 1.5m)
.SetDisplay("ATR Multiplier", "Multiplier for ATR stop", "Risk Management");
_riskReward = Param(nameof(RiskReward), 2m)
.SetDisplay("Risk Reward", "Risk to reward ratio", "Risk Management");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
protected override void OnReseted()
{
base.OnReseted();
_stopLevel = 0m;
_targetLevel = 0m;
_highs.Clear();
_lows.Clear();
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_atr = new AverageTrueRange { Length = 14 };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_atr, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal atrValue)
{
if (candle.State != CandleStates.Finished)
return;
// Track highs/lows history manually
_highs.Add(candle.HighPrice);
_lows.Add(candle.LowPrice);
if (_highs.Count > Length + 1)
_highs.RemoveAt(0);
if (_lows.Count > Length + 1)
_lows.RemoveAt(0);
if (_highs.Count <= Length)
return;
// Breakout levels from previous N candles (excluding current)
var prevHighest = decimal.MinValue;
var prevLowest = decimal.MaxValue;
for (var i = 0; i < _highs.Count - 1; i++)
{
if (_highs[i] > prevHighest) prevHighest = _highs[i];
if (_lows[i] < prevLowest) prevLowest = _lows[i];
}
if (Position == 0)
{
if (candle.ClosePrice > prevHighest)
{
_stopLevel = candle.ClosePrice - atrValue * AtrMultiplier;
var stopDistance = candle.ClosePrice - _stopLevel;
_targetLevel = candle.ClosePrice + RiskReward * stopDistance;
BuyMarket();
}
else if (candle.ClosePrice < prevLowest)
{
_stopLevel = candle.ClosePrice + atrValue * AtrMultiplier;
var stopDistance = _stopLevel - candle.ClosePrice;
_targetLevel = candle.ClosePrice - RiskReward * stopDistance;
SellMarket();
}
}
else if (Position > 0)
{
if (candle.LowPrice <= _stopLevel || candle.HighPrice >= _targetLevel)
SellMarket();
}
else if (Position < 0)
{
if (candle.HighPrice >= _stopLevel || candle.LowPrice <= _targetLevel)
BuyMarket();
}
}
}
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 AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class breakouts_with_time_filter_strategy(Strategy):
def __init__(self):
super(breakouts_with_time_filter_strategy, self).__init__()
self._length = self.Param("Length", 20) \
.SetDisplay("Length", "Lookback period for breakout levels", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._atr_multiplier = self.Param("AtrMultiplier", 1.5) \
.SetDisplay("ATR Multiplier", "Multiplier for ATR stop", "Risk Management")
self._risk_reward = self.Param("RiskReward", 2.0) \
.SetDisplay("Risk Reward", "Risk to reward ratio", "Risk Management")
self._stop_level = 0.0
self._target_level = 0.0
self._highs = []
self._lows = []
@property
def length(self):
return self._length.Value
@property
def candle_type(self):
return self._candle_type.Value
@property
def atr_multiplier(self):
return self._atr_multiplier.Value
@property
def risk_reward(self):
return self._risk_reward.Value
def OnReseted(self):
super(breakouts_with_time_filter_strategy, self).OnReseted()
self._stop_level = 0.0
self._target_level = 0.0
self._highs = []
self._lows = []
def OnStarted2(self, time):
super(breakouts_with_time_filter_strategy, self).OnStarted2(time)
atr = AverageTrueRange()
atr.Length = 14
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(atr, self.OnProcess).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def OnProcess(self, candle, atr_value):
if candle.State != CandleStates.Finished:
return
atr_val = float(atr_value)
self._highs.append(float(candle.HighPrice))
self._lows.append(float(candle.LowPrice))
if len(self._highs) > self.length + 1:
self._highs.pop(0)
if len(self._lows) > self.length + 1:
self._lows.pop(0)
if len(self._highs) <= self.length:
return
prev_highest = max(self._highs[:-1])
prev_lowest = min(self._lows[:-1])
close = float(candle.ClosePrice)
if self.Position == 0:
if close > prev_highest:
self._stop_level = close - atr_val * float(self.atr_multiplier)
stop_distance = close - self._stop_level
self._target_level = close + float(self.risk_reward) * stop_distance
self.BuyMarket()
elif close < prev_lowest:
self._stop_level = close + atr_val * float(self.atr_multiplier)
stop_distance = self._stop_level - close
self._target_level = close - float(self.risk_reward) * stop_distance
self.SellMarket()
elif self.Position > 0:
if float(candle.LowPrice) <= self._stop_level or float(candle.HighPrice) >= self._target_level:
self.SellMarket()
elif self.Position < 0:
if float(candle.HighPrice) >= self._stop_level or float(candle.LowPrice) <= self._target_level:
self.BuyMarket()
def CreateClone(self):
return breakouts_with_time_filter_strategy()