The strategy reproduces the MetaTrader expert advisor 1_Otkat_Sys. It monitors the previous trading day's open, close, high,
and low to decide whether to enter a position during the first three minutes after midnight (broker time) from Tuesday to
Thursday.
Trading Logic
Daily statistics – the last completed daily candle is cached in order to compute:
Open - Close and Close - Open to detect whether the previous session was bearish or bullish.
Close - Low and High - Close to measure how deeply the price pulled back from the extremes.
Entry window – new trades are evaluated when the entry candle opens between 00:00 and 00:03. Monday and Friday are
skipped, matching the original robot's DayOfWeek filters.
Directional filters – four mutually exclusive conditions mirror the MQL rules:
Bearish previous day (Open - Close above the corridor threshold) combined with a shallow retracement (Close - Low
below Pullback - Tolerance) opens a long.
Bullish previous day with an extended upside retracement (High - Close above Pullback + Tolerance) also opens a long.
Bullish previous day with a weak upside retracement (High - Close below Pullback - Tolerance) opens a short.
Bearish previous day with an extended downside retracement (Close - Low above Pullback + Tolerance) opens a short.
Orders – entries are market orders placed with the configured lot size. Buy trades use a take-profit distance equal to
TakeProfit + 3 points (as in the original EA); shorts use exactly TakeProfit points. Both sides apply the same stop-loss
distance.
Time-based exit – any open position is flattened after 22:45, replicating the nightly cleanup implemented in the MetaTrader
script.
All threshold parameters are expressed in points and translated into price distances with the instrument's PriceStep.
Parameters
Name
Description
EntryCandleType
Timeframe used for the trading window (default: 1 minute).
DailyCandleType
Timeframe providing the daily statistics (default: 1 day).
TakeProfit
Profit target in points. Long trades add a 3-point buffer.
StopLoss
Protective stop distance in points.
PullbackThreshold
Base pullback ("Otkat") threshold in points.
CorridorThreshold
Directional corridor threshold (KoridorOC).
ToleranceThreshold
Pullback tolerance (KoridorOt).
TradeVolume
Lot size for each entry.
The strategy automatically resets its cached values on Reset, subscribes to both entry and daily candle streams, and draws
candles plus trade markers when a chart area is available.
using System;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
public class OtkatSysStrategy : Strategy
{
private readonly StrategyParam<int> _channelPeriod;
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<int> _cooldownCandles;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevClose;
private decimal _prevMid;
private bool _hasPrev;
private int _cooldownRemaining;
public int ChannelPeriod { get => _channelPeriod.Value; set => _channelPeriod.Value = value; }
public int EmaPeriod { get => _emaPeriod.Value; set => _emaPeriod.Value = value; }
public int CooldownCandles { get => _cooldownCandles.Value; set => _cooldownCandles.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public OtkatSysStrategy()
{
_channelPeriod = Param(nameof(ChannelPeriod), 48).SetDisplay("Channel Period", "Channel lookback", "Indicators");
_emaPeriod = Param(nameof(EmaPeriod), 20).SetDisplay("EMA Period", "EMA filter", "Indicators");
_cooldownCandles = Param(nameof(CooldownCandles), 150).SetDisplay("Cooldown", "Candles between signals", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame()).SetDisplay("Candle Type", "Candle timeframe", "General");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevClose = default;
_prevMid = default;
_hasPrev = default;
_cooldownRemaining = default;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevClose = 0;
_prevMid = 0;
_hasPrev = false;
_cooldownRemaining = 0;
var highest = new Highest { Length = ChannelPeriod };
var lowest = new Lowest { Length = ChannelPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(highest, lowest, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal highest, decimal lowest)
{
if (candle.State != CandleStates.Finished) return;
var close = candle.ClosePrice;
var mid = (highest + lowest) / 2;
if (!_hasPrev) { _prevClose = close; _prevMid = mid; _hasPrev = true; return; }
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_prevClose = close;
_prevMid = mid;
return;
}
if (_prevClose <= _prevMid && close > mid && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
_cooldownRemaining = CooldownCandles;
}
else if (_prevClose >= _prevMid && close < mid && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
_cooldownRemaining = CooldownCandles;
}
_prevClose = close;
_prevMid = mid;
}
}
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 otkat_sys_strategy(Strategy):
def __init__(self):
super(otkat_sys_strategy, self).__init__()
self._channel_period = self.Param("ChannelPeriod", 48) \
.SetDisplay("Channel Period", "Channel lookback", "Indicators")
self._cooldown_candles = self.Param("CooldownCandles", 150) \
.SetDisplay("Cooldown", "Candles between signals", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Candle timeframe", "General")
self._prev_close = 0.0
self._prev_mid = 0.0
self._has_prev = False
self._cooldown_remaining = 0
@property
def channel_period(self):
return self._channel_period.Value
@property
def cooldown_candles(self):
return self._cooldown_candles.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(otkat_sys_strategy, self).OnReseted()
self._prev_close = 0.0
self._prev_mid = 0.0
self._has_prev = False
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(otkat_sys_strategy, self).OnStarted2(time)
self._prev_close = 0.0
self._prev_mid = 0.0
self._has_prev = False
self._cooldown_remaining = 0
highest = Highest()
highest.Length = self.channel_period
lowest = Lowest()
lowest.Length = self.channel_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(highest, lowest, self.process_candle).Start()
def process_candle(self, candle, highest, lowest):
if candle.State != CandleStates.Finished:
return
close = float(candle.ClosePrice)
mid = (float(highest) + float(lowest)) / 2.0
if not self._has_prev:
self._prev_close = close
self._prev_mid = mid
self._has_prev = True
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
self._prev_close = close
self._prev_mid = mid
return
if self._prev_close <= self._prev_mid and close > mid and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._cooldown_remaining = self.cooldown_candles
elif self._prev_close >= self._prev_mid and close < mid and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._cooldown_remaining = self.cooldown_candles
self._prev_close = close
self._prev_mid = mid
def CreateClone(self):
return otkat_sys_strategy()