NY First Candle Break and Retest Strategy
Trades breakouts of the first New York session candle with retest confirmation. Uses ATR for stop placement and reward-to-risk targets with optional EMA trend filter and trailing stop.
Details
- Entry Criteria: Break of the first session candle high or low followed by a retest within
RetestThresholdATR. - Long/Short: Both.
- Exit Criteria: ATR-based stop and
RewardRiskRatiotarget. Optional trailing stop. - Stops:
AtrMultiplier* ATR. - Default Values:
NyStartHour= 9NyStartMinute= 30SessionLength= 4AtrPeriod= 14AtrMultiplier= 1.2RewardRiskRatio= 1.5MinBreakSize= 0.15RetestThreshold= 0.25UseEmaFilter= trueEmaLength= 13
- Filters:
- Category: Breakout
- Direction: Both
- Indicators: ATR, EMA
- Stops: ATR
- Complexity: Intermediate
- Timeframe: Intraday
- Seasonality: Yes
- Neural networks: No
- Divergence: No
- Risk level: Medium
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
public class NyFirstCandleBreakAndRetestStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _emaLength;
private DateTime _currentDay;
private decimal _dayHigh;
private decimal _dayLow;
private bool _dayRangeSet;
private bool _tradedToday;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int EmaLength { get => _emaLength.Value; set => _emaLength.Value = value; }
public NyFirstCandleBreakAndRetestStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame());
_emaLength = Param(nameof(EmaLength), 20).SetGreaterThanZero();
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_currentDay = default;
_dayHigh = 0m;
_dayLow = 0m;
_dayRangeSet = false;
_tradedToday = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_currentDay = default;
_dayHigh = 0m;
_dayLow = 0m;
_dayRangeSet = false;
_tradedToday = false;
var ema = new ExponentialMovingAverage { Length = EmaLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ema, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
DrawIndicator(area, ema);
}
}
private void ProcessCandle(ICandleMessage candle, decimal ema)
{
if (candle.State != CandleStates.Finished)
return;
var day = candle.OpenTime.Date;
// New day: close positions, set first candle as range
if (day != _currentDay)
{
_currentDay = day;
if (Position > 0) SellMarket();
else if (Position < 0) BuyMarket();
_dayHigh = candle.HighPrice;
_dayLow = candle.LowPrice;
_dayRangeSet = true;
_tradedToday = false;
return;
}
if (!_dayRangeSet || _tradedToday)
return;
// Entry: breakout above first candle high with EMA confirmation
if (Position <= 0 && candle.ClosePrice > _dayHigh && candle.ClosePrice > ema)
{
BuyMarket();
_tradedToday = true;
}
// Entry: breakdown below first candle low with EMA confirmation
else if (Position >= 0 && candle.ClosePrice < _dayLow && candle.ClosePrice < ema)
{
SellMarket();
_tradedToday = true;
}
}
}
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 ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class ny_first_candle_break_and_retest_strategy(Strategy):
def __init__(self):
super(ny_first_candle_break_and_retest_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5)))
self._ema_length = self.Param("EmaLength", 20) \
.SetGreaterThanZero()
self._current_day = None
self._day_high = 0.0
self._day_low = 0.0
self._day_range_set = False
self._traded_today = False
@property
def candle_type(self):
return self._candle_type.Value
@candle_type.setter
def candle_type(self, value):
self._candle_type.Value = value
def OnReseted(self):
super(ny_first_candle_break_and_retest_strategy, self).OnReseted()
self._current_day = None
self._day_high = 0.0
self._day_low = 0.0
self._day_range_set = False
self._traded_today = False
def OnStarted2(self, time):
super(ny_first_candle_break_and_retest_strategy, self).OnStarted2(time)
self._current_day = None
self._day_high = 0.0
self._day_low = 0.0
self._day_range_set = False
self._traded_today = False
self._ema = ExponentialMovingAverage()
self._ema.Length = self._ema_length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._ema, self.OnProcess).Start()
def OnProcess(self, candle, ema_val):
if candle.State != CandleStates.Finished:
return
day = candle.OpenTime.Date
close = float(candle.ClosePrice)
high = float(candle.HighPrice)
low = float(candle.LowPrice)
ev = float(ema_val)
if self._current_day is None or day != self._current_day:
self._current_day = day
if self.Position > 0:
self.SellMarket()
elif self.Position < 0:
self.BuyMarket()
self._day_high = high
self._day_low = low
self._day_range_set = True
self._traded_today = False
return
if not self._day_range_set or self._traded_today:
return
if self.Position <= 0 and close > self._day_high and close > ev:
self.BuyMarket()
self._traded_today = True
elif self.Position >= 0 and close < self._day_low and close < ev:
self.SellMarket()
self._traded_today = True
def CreateClone(self):
return ny_first_candle_break_and_retest_strategy()