The E-News Lucky Strategy is a StockSharp port of the MetaTrader expert advisor e-News-Lucky. The system automates the classic news breakout approach:
At a configurable PlacementTime it submits both buy-stop and sell-stop orders around the current price, offset by DistancePips.
When either pending order is executed, the opposite order is cancelled immediately. Initial protective stop-loss and take-profit levels are attached according to the configured pip offsets.
A trailing stop can be enabled via TrailingStopPips and TrailingStepPips to lock in profits as the trade moves in the favourable direction.
At the configured CancelTime all remaining pending orders are removed and any open positions are closed to avoid holding risk outside the trading window.
The strategy uses candle data (CandleType, 1-minute by default) only to track the scheduled times and to update the trailing stop. It does not rely on indicator calculations.
Parameters
Name
Description
Volume
Order volume for each pending entry. The strategy sends symmetric buy-stop and sell-stop orders with this volume.
StopLossPips
Distance between the entry price and the protective stop-loss, expressed in pips. Set to zero to disable the stop.
TakeProfitPips
Distance between the entry price and the profit target in pips. Set to zero to disable the target.
TrailingStopPips
Trailing stop distance in pips. The trailing engine becomes active only when this value is greater than zero.
TrailingStepPips
Minimum pip gain required before the trailing stop is moved again. Prevents excessive stop updates in ranging markets.
DistancePips
Offset (in pips) from the current price used to place the stop orders.
PlacementTime
Time of day (broker/server time) when the pending orders are placed. Default: 10:30.
CancelTime
Time of day when pending orders are cancelled and open positions are closed. Default: 22:30.
CandleType
Candle series used for scheduling and trailing. Default: 1-minute time frame.
Implementation Notes
Pip size follows the MetaTrader logic: if the symbol has 3 or 5 digits, the strategy multiplies the price step by 10 to work in pip units.
All prices are normalized to the instrument price step before orders are submitted.
Trailing stops compare the latest close against PositionPrice and only move the protective stop when the gain exceeds both TrailingStopPips and TrailingStepPips.
Pending orders are recreated each trading day when the placement time is reached. Cancel time checks ensure all exposure is flat by the end of the window.
Usage Tips
Attach the strategy to a liquid instrument with tight spreads; the breakout distances assume news-like price behaviour.
Set PlacementTime and CancelTime according to the economic calendar of interest.
Adjust pip distances to match the instrument volatility. Larger values reduce the chance of false triggers, while smaller values can capture earlier moves but increase whipsaw risk.
Disable trailing by keeping TrailingStopPips at zero if fixed stops are preferred.
Monitor slippage and spread during high-impact news to ensure the pending orders are filled as expected.
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>
/// Scheduled breakout strategy that monitors price around a reference level and enters on breakout.
/// Converted from the original pending-order version to use market orders.
/// </summary>
public class ENewsLuckyStrategy : Strategy
{
private readonly StrategyParam<decimal> _stopLossPips;
private readonly StrategyParam<decimal> _takeProfitPips;
private readonly StrategyParam<decimal> _trailingStopPips;
private readonly StrategyParam<decimal> _trailingStepPips;
private readonly StrategyParam<decimal> _distancePips;
private readonly StrategyParam<int> _placementHour;
private readonly StrategyParam<int> _cancelHour;
private readonly StrategyParam<DataType> _candleType;
private decimal _pipSize;
private decimal? _buyLevel;
private decimal? _sellLevel;
private decimal _entryPrice;
private decimal? _stopPrice;
private decimal? _takePrice;
private bool _pendingActive;
private bool _lastWasPlacementDay;
public decimal StopLossPips
{
get => _stopLossPips.Value;
set => _stopLossPips.Value = value;
}
public decimal TakeProfitPips
{
get => _takeProfitPips.Value;
set => _takeProfitPips.Value = value;
}
public decimal TrailingStopPips
{
get => _trailingStopPips.Value;
set => _trailingStopPips.Value = value;
}
public decimal TrailingStepPips
{
get => _trailingStepPips.Value;
set => _trailingStepPips.Value = value;
}
public decimal DistancePips
{
get => _distancePips.Value;
set => _distancePips.Value = value;
}
public int PlacementHour
{
get => _placementHour.Value;
set => _placementHour.Value = value;
}
public int CancelHour
{
get => _cancelHour.Value;
set => _cancelHour.Value = value;
}
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public ENewsLuckyStrategy()
{
_stopLossPips = Param(nameof(StopLossPips), 50m)
.SetDisplay("Stop Loss", "Stop loss in pips", "Trading");
_takeProfitPips = Param(nameof(TakeProfitPips), 150m)
.SetDisplay("Take Profit", "Take profit in pips", "Trading");
_trailingStopPips = Param(nameof(TrailingStopPips), 5m)
.SetDisplay("Trailing Stop", "Trailing distance in pips", "Risk");
_trailingStepPips = Param(nameof(TrailingStepPips), 5m)
.SetDisplay("Trailing Step", "Minimum trailing step in pips", "Risk");
_distancePips = Param(nameof(DistancePips), 20m)
.SetGreaterThanZero()
.SetDisplay("Entry Distance", "Distance from market in pips", "Trading");
_placementHour = Param(nameof(PlacementHour), 2)
.SetDisplay("Placement Hour", "Hour to set breakout levels", "General");
_cancelHour = Param(nameof(CancelHour), 22)
.SetDisplay("Cancel Hour", "Hour to cancel and close", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Working candle timeframe", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
protected override void OnReseted()
{
base.OnReseted();
_pipSize = 0m;
_buyLevel = null;
_sellLevel = null;
_entryPrice = 0m;
_stopPrice = null;
_takePrice = null;
_pendingActive = false;
_lastWasPlacementDay = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var step = Security?.PriceStep ?? 0m;
_pipSize = step > 0 ? step : 1m;
SubscribeCandles(CandleType)
.Bind(ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
var hour = candle.CloseTime.Hour;
var price = candle.ClosePrice;
// Set breakout levels at placement hour
if (hour == PlacementHour && !_lastWasPlacementDay && Position == 0)
{
var distance = DistancePips * _pipSize;
_buyLevel = price + distance;
_sellLevel = price - distance;
_pendingActive = true;
_lastWasPlacementDay = true;
}
if (hour != PlacementHour)
_lastWasPlacementDay = false;
// Cancel at cancel hour
if (hour == CancelHour && _pendingActive)
{
_pendingActive = false;
_buyLevel = null;
_sellLevel = null;
if (Position > 0)
SellMarket(Position);
else if (Position < 0)
BuyMarket(-Position);
_entryPrice = 0m;
_stopPrice = null;
_takePrice = null;
return;
}
// Check breakout triggers
if (_pendingActive && Position == 0)
{
if (_buyLevel.HasValue && candle.HighPrice >= _buyLevel.Value)
{
var buyLevel = _buyLevel.Value;
BuyMarket(Volume);
_entryPrice = buyLevel;
_stopPrice = StopLossPips > 0 ? _entryPrice - StopLossPips * _pipSize : null;
_takePrice = TakeProfitPips > 0 ? _entryPrice + TakeProfitPips * _pipSize : null;
_pendingActive = false;
_buyLevel = null;
_sellLevel = null;
}
else if (_sellLevel.HasValue && candle.LowPrice <= _sellLevel.Value)
{
var sellLevel = _sellLevel.Value;
SellMarket(Volume);
_entryPrice = sellLevel;
_stopPrice = StopLossPips > 0 ? _entryPrice + StopLossPips * _pipSize : null;
_takePrice = TakeProfitPips > 0 ? _entryPrice - TakeProfitPips * _pipSize : null;
_pendingActive = false;
_buyLevel = null;
_sellLevel = null;
}
}
// Manage open position
if (Position > 0)
{
// Trailing stop
if (TrailingStopPips > 0 && _entryPrice > 0)
{
var trailDist = TrailingStopPips * _pipSize;
var stepDist = TrailingStepPips * _pipSize;
if (price - _entryPrice > trailDist + stepDist)
{
var newStop = price - trailDist;
if (!_stopPrice.HasValue || newStop > _stopPrice.Value)
_stopPrice = newStop;
}
}
if (_stopPrice.HasValue && candle.LowPrice <= _stopPrice.Value)
{
SellMarket(Position);
ResetPosition();
return;
}
if (_takePrice.HasValue && candle.HighPrice >= _takePrice.Value)
{
SellMarket(Position);
ResetPosition();
}
}
else if (Position < 0)
{
// Trailing stop
if (TrailingStopPips > 0 && _entryPrice > 0)
{
var trailDist = TrailingStopPips * _pipSize;
var stepDist = TrailingStepPips * _pipSize;
if (_entryPrice - price > trailDist + stepDist)
{
var newStop = price + trailDist;
if (!_stopPrice.HasValue || newStop < _stopPrice.Value)
_stopPrice = newStop;
}
}
if (_stopPrice.HasValue && candle.HighPrice >= _stopPrice.Value)
{
BuyMarket(-Position);
ResetPosition();
return;
}
if (_takePrice.HasValue && candle.LowPrice <= _takePrice.Value)
{
BuyMarket(-Position);
ResetPosition();
}
}
}
private void ResetPosition()
{
_entryPrice = 0m;
_stopPrice = null;
_takePrice = null;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from StockSharp.Algo.Strategies import Strategy
from StockSharp.Messages import DataType, CandleStates
from System import TimeSpan, Math
class e_news_lucky_strategy(Strategy):
def __init__(self):
super(e_news_lucky_strategy, self).__init__()
self._stop_loss_pips = self.Param("StopLossPips", 50.0)
self._take_profit_pips = self.Param("TakeProfitPips", 150.0)
self._trailing_stop_pips = self.Param("TrailingStopPips", 5.0)
self._trailing_step_pips = self.Param("TrailingStepPips", 5.0)
self._distance_pips = self.Param("DistancePips", 20.0)
self._placement_hour = self.Param("PlacementHour", 2)
self._cancel_hour = self.Param("CancelHour", 22)
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5)))
self._pip_size = 0.0
self._buy_level = None
self._sell_level = None
self._entry_price = 0.0
self._stop_price = None
self._take_price = None
self._pending_active = False
self._last_was_placement_day = False
@property
def CandleType(self):
return self._candle_type.Value
def OnStarted2(self, time):
super(e_news_lucky_strategy, self).OnStarted2(time)
step = float(self.Security.PriceStep) if self.Security is not None and self.Security.PriceStep is not None else 0.0
self._pip_size = step if step > 0 else 1.0
sub = self.SubscribeCandles(self.CandleType)
sub.Bind(self._process_candle).Start()
def _process_candle(self, candle):
if candle.State != CandleStates.Finished:
return
hour = candle.CloseTime.Hour
price = float(candle.ClosePrice)
# Set breakout levels at placement hour
if hour == self._placement_hour.Value and not self._last_was_placement_day and self.Position == 0:
distance = self._distance_pips.Value * self._pip_size
self._buy_level = price + distance
self._sell_level = price - distance
self._pending_active = True
self._last_was_placement_day = True
if hour != self._placement_hour.Value:
self._last_was_placement_day = False
# Cancel at cancel hour
if hour == self._cancel_hour.Value and self._pending_active:
self._pending_active = False
self._buy_level = None
self._sell_level = None
if self.Position > 0:
self.SellMarket(self.Position)
elif self.Position < 0:
self.BuyMarket(abs(self.Position))
self._entry_price = 0.0
self._stop_price = None
self._take_price = None
return
# Check breakout triggers
if self._pending_active and self.Position == 0:
if self._buy_level is not None and float(candle.HighPrice) >= self._buy_level:
buy_level = self._buy_level
self.BuyMarket(self.Volume)
self._entry_price = buy_level
self._stop_price = self._entry_price - self._stop_loss_pips.Value * self._pip_size if self._stop_loss_pips.Value > 0 else None
self._take_price = self._entry_price + self._take_profit_pips.Value * self._pip_size if self._take_profit_pips.Value > 0 else None
self._pending_active = False
self._buy_level = None
self._sell_level = None
elif self._sell_level is not None and float(candle.LowPrice) <= self._sell_level:
sell_level = self._sell_level
self.SellMarket(self.Volume)
self._entry_price = sell_level
self._stop_price = self._entry_price + self._stop_loss_pips.Value * self._pip_size if self._stop_loss_pips.Value > 0 else None
self._take_price = self._entry_price - self._take_profit_pips.Value * self._pip_size if self._take_profit_pips.Value > 0 else None
self._pending_active = False
self._buy_level = None
self._sell_level = None
# Manage open position
if self.Position > 0:
# Trailing stop for long
if self._trailing_stop_pips.Value > 0 and self._entry_price > 0:
trail_dist = self._trailing_stop_pips.Value * self._pip_size
step_dist = self._trailing_step_pips.Value * self._pip_size
if price - self._entry_price > trail_dist + step_dist:
new_stop = price - trail_dist
if self._stop_price is None or new_stop > self._stop_price:
self._stop_price = new_stop
if self._stop_price is not None and float(candle.LowPrice) <= self._stop_price:
self.SellMarket(self.Position)
self._reset_position()
return
if self._take_price is not None and float(candle.HighPrice) >= self._take_price:
self.SellMarket(self.Position)
self._reset_position()
elif self.Position < 0:
# Trailing stop for short
if self._trailing_stop_pips.Value > 0 and self._entry_price > 0:
trail_dist = self._trailing_stop_pips.Value * self._pip_size
step_dist = self._trailing_step_pips.Value * self._pip_size
if self._entry_price - price > trail_dist + step_dist:
new_stop = price + trail_dist
if self._stop_price is None or new_stop < self._stop_price:
self._stop_price = new_stop
if self._stop_price is not None and float(candle.HighPrice) >= self._stop_price:
self.BuyMarket(abs(self.Position))
self._reset_position()
return
if self._take_price is not None and float(candle.LowPrice) <= self._take_price:
self.BuyMarket(abs(self.Position))
self._reset_position()
def _reset_position(self):
self._entry_price = 0.0
self._stop_price = None
self._take_price = None
def OnReseted(self):
super(e_news_lucky_strategy, self).OnReseted()
self._pip_size = 0.0
self._buy_level = None
self._sell_level = None
self._entry_price = 0.0
self._stop_price = None
self._take_price = None
self._pending_active = False
self._last_was_placement_day = False
def CreateClone(self):
return e_news_lucky_strategy()