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Bruno Strategy
The Bruno expert advisor is a trend-following system originally written for MetaTrader 5. The port keeps the same confirmation chain: Average Directional Index (ADX) with directional movement, a pair of exponential moving averages (EMA 8/21), MACD (13, 34, 8), a Stochastic Oscillator (21, 3, 3) and the slope of a Parabolic SAR (0.055, 0.21). Every filter that agrees with the direction multiplies the order size by a configurable factor. If both long and short signals are amplified on the same candle, trading is skipped to avoid conflicting orders.
Trading logic
Directional bias
Long pressure is strengthened when +DI > -DI and +DI > 20.
Short pressure is strengthened when +DI < -DI and +DI < 40.
Momentum alignment
Long preference requires EMA(8) above EMA(21), Stochastic %K above %D and %K below the overbought threshold (default 80).
Short preference requires EMA(8) below EMA(21), Stochastic %K below %D and %K above the oversold threshold (default 20).
MACD filter
Long bias: MACD histogram above zero and MACD main line above the signal line.
Short bias: MACD histogram below zero and MACD main line below the signal line.
Parabolic SAR slope
Long bias is reinforced when the previous SAR values are rising while EMA(8) > EMA(21).
Short bias is reinforced when the previous SAR values are falling while EMA(8) < EMA(21).
Each satisfied condition multiplies the base lot size by SignalMultiplier (default 1.6). Only one side may be active at a time. When a final signal is generated, the strategy closes any opposite position, submits the market order with the multiplied volume, and stores the current close as the entry price.
Position management
Stop-loss / take-profit – fixed distances expressed in adjusted pips, matching the MetaTrader version. If either level is hit intrabar the position is closed immediately.
Trailing stop – activates once floating profit exceeds TrailingStop + TrailingStep pips. The stop is then pulled behind price by TrailingStop pips and only advances when the gain increases by at least TrailingStep more pips.
Conflict handling – if both long and short filters fire on the same candle, no new trade is taken.
Parameters
Group
Name
Description
Trading
BaseVolume
Initial lot size before multipliers.
Trading
SignalMultiplier
Volume multiplier applied by each agreeing filter.
Risk Management
StopLossPips / TakeProfitPips
Protective distances in adjusted pips. Set to zero to disable.
Risk Management
TrailingStopPips / TrailingStepPips
Trailing distance and minimum step in adjusted pips.
Indicators
AdxPeriod, AdxPositiveThreshold, AdxNegativeThreshold
ADX length and DI thresholds.
Indicators
FastEmaPeriod, SlowEmaPeriod
EMA lengths used in trend confirmation.
Indicators
MacdFastPeriod, MacdSlowPeriod, MacdSignalPeriod
MACD configuration.
Indicators
StochasticPeriod, StochasticKsmoothing, StochasticDsmoothing, StochasticOverbought, StochasticOversold
Stochastic oscillator settings.
General
CandleType
Timeframe used for the entire signal chain (default 1 hour).
Notes
Adjusted pip size follows the MetaTrader convention: instruments with 3 or 5 decimal digits are multiplied by 10.
Parabolic SAR operates with acceleration step 0.055 and maximum 0.21, mirroring the expert advisor defaults.
The port keeps the original money-management style (volume stacking) but aggregates the exposure into a single StockSharp position.
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>
/// Bruno trend-following strategy using EMA crossover with trend filter.
/// Buys when fast EMA crosses above slow EMA with price above trend EMA.
/// Sells on reverse conditions.
/// </summary>
public class BrunoStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _trendPeriod;
private readonly StrategyParam<int> _stopLossPoints;
private readonly StrategyParam<int> _takeProfitPoints;
private ExponentialMovingAverage _fast;
private ExponentialMovingAverage _slow;
private ExponentialMovingAverage _trend;
private decimal _prevFast;
private decimal _prevSlow;
private decimal _entryPrice;
private int _cooldown;
/// <summary>
/// Fast EMA period.
/// </summary>
public int FastPeriod
{
get => _fastPeriod.Value;
set => _fastPeriod.Value = value;
}
/// <summary>
/// Slow EMA period.
/// </summary>
public int SlowPeriod
{
get => _slowPeriod.Value;
set => _slowPeriod.Value = value;
}
/// <summary>
/// Trend EMA period.
/// </summary>
public int TrendPeriod
{
get => _trendPeriod.Value;
set => _trendPeriod.Value = value;
}
/// <summary>
/// Stop-loss distance in price steps.
/// </summary>
public int StopLossPoints
{
get => _stopLossPoints.Value;
set => _stopLossPoints.Value = value;
}
/// <summary>
/// Take-profit distance in price steps.
/// </summary>
public int TakeProfitPoints
{
get => _takeProfitPoints.Value;
set => _takeProfitPoints.Value = value;
}
/// <summary>
/// Initializes a new instance of the <see cref="BrunoStrategy"/> class.
/// </summary>
public BrunoStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("Fast Period", "Fast EMA period", "Indicator");
_slowPeriod = Param(nameof(SlowPeriod), 50)
.SetGreaterThanZero()
.SetDisplay("Slow Period", "Slow EMA period", "Indicator");
_trendPeriod = Param(nameof(TrendPeriod), 200)
.SetGreaterThanZero()
.SetDisplay("Trend Period", "Trend EMA period", "Indicator");
_stopLossPoints = Param(nameof(StopLossPoints), 200)
.SetNotNegative()
.SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk");
_takeProfitPoints = Param(nameof(TakeProfitPoints), 400)
.SetNotNegative()
.SetDisplay("Take Profit", "Take-profit in price steps", "Risk");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
yield return (Security, TimeSpan.FromMinutes(5).TimeFrame());
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_fast = null;
_slow = null;
_trend = null;
_prevFast = 0;
_prevSlow = 0;
_entryPrice = 0;
_cooldown = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_fast = new ExponentialMovingAverage { Length = FastPeriod };
_slow = new ExponentialMovingAverage { Length = SlowPeriod };
_trend = new ExponentialMovingAverage { Length = TrendPeriod };
var subscription = SubscribeCandles(TimeSpan.FromMinutes(5).TimeFrame());
subscription.Bind(_fast, _slow, _trend, ProcessCandle);
subscription.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastValue, decimal slowValue, decimal trendValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!_fast.IsFormed || !_slow.IsFormed || !_trend.IsFormed)
{
_prevFast = fastValue;
_prevSlow = slowValue;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_prevFast = fastValue;
_prevSlow = slowValue;
return;
}
var close = candle.ClosePrice;
var step = Security?.PriceStep ?? 1m;
// Check SL/TP
if (Position > 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close <= _entryPrice - StopLossPoints * step)
{
SellMarket();
_entryPrice = 0;
_cooldown = 80;
_prevFast = fastValue;
_prevSlow = slowValue;
return;
}
if (TakeProfitPoints > 0 && close >= _entryPrice + TakeProfitPoints * step)
{
SellMarket();
_entryPrice = 0;
_cooldown = 80;
_prevFast = fastValue;
_prevSlow = slowValue;
return;
}
}
else if (Position < 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close >= _entryPrice + StopLossPoints * step)
{
BuyMarket();
_entryPrice = 0;
_cooldown = 80;
_prevFast = fastValue;
_prevSlow = slowValue;
return;
}
if (TakeProfitPoints > 0 && close <= _entryPrice - TakeProfitPoints * step)
{
BuyMarket();
_entryPrice = 0;
_cooldown = 80;
_prevFast = fastValue;
_prevSlow = slowValue;
return;
}
}
// EMA crossover with trend filter
if (_prevFast <= _prevSlow && fastValue > slowValue && close > trendValue && Position <= 0)
{
if (Position < 0)
BuyMarket();
BuyMarket();
_entryPrice = close;
_cooldown = 80;
}
else if (_prevFast >= _prevSlow && fastValue < slowValue && close < trendValue && Position >= 0)
{
if (Position > 0)
SellMarket();
SellMarket();
_entryPrice = close;
_cooldown = 80;
}
_prevFast = fastValue;
_prevSlow = slowValue;
}
}
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 bruno_strategy(Strategy):
def __init__(self):
super(bruno_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 14) \
.SetDisplay("Fast Period", "Fast EMA period", "Indicator")
self._slow_period = self.Param("SlowPeriod", 50) \
.SetDisplay("Slow Period", "Slow EMA period", "Indicator")
self._trend_period = self.Param("TrendPeriod", 200) \
.SetDisplay("Trend Period", "Trend EMA period", "Indicator")
self._stop_loss_points = self.Param("StopLossPoints", 200) \
.SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk")
self._take_profit_points = self.Param("TakeProfitPoints", 400) \
.SetDisplay("Take Profit", "Take-profit in price steps", "Risk")
self._fast = None
self._slow = None
self._trend = None
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown = 0
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def trend_period(self):
return self._trend_period.Value
@property
def stop_loss_points(self):
return self._stop_loss_points.Value
@property
def take_profit_points(self):
return self._take_profit_points.Value
def OnReseted(self):
super(bruno_strategy, self).OnReseted()
self._fast = None
self._slow = None
self._trend = None
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(bruno_strategy, self).OnStarted2(time)
self._fast = ExponentialMovingAverage()
self._fast.Length = self.fast_period
self._slow = ExponentialMovingAverage()
self._slow.Length = self.slow_period
self._trend = ExponentialMovingAverage()
self._trend.Length = self.trend_period
subscription = self.SubscribeCandles(DataType.TimeFrame(TimeSpan.FromMinutes(5)))
subscription.Bind(self._fast, self._slow, self._trend, self._process_candle)
subscription.Start()
def _process_candle(self, candle, fast_value, slow_value, trend_value):
if candle.State != CandleStates.Finished:
return
fast_val = float(fast_value)
slow_val = float(slow_value)
trend_val = float(trend_value)
if not self._fast.IsFormed or not self._slow.IsFormed or not self._trend.IsFormed:
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_fast = fast_val
self._prev_slow = slow_val
return
close = float(candle.ClosePrice)
step = float(self.Security.PriceStep) if self.Security is not None and self.Security.PriceStep is not None else 1.0
if self.Position > 0 and self._entry_price > 0:
if self.stop_loss_points > 0 and close <= self._entry_price - self.stop_loss_points * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 80
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self.take_profit_points > 0 and close >= self._entry_price + self.take_profit_points * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 80
self._prev_fast = fast_val
self._prev_slow = slow_val
return
elif self.Position < 0 and self._entry_price > 0:
if self.stop_loss_points > 0 and close >= self._entry_price + self.stop_loss_points * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 80
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self.take_profit_points > 0 and close <= self._entry_price - self.take_profit_points * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 80
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self._prev_fast <= self._prev_slow and fast_val > slow_val and close > trend_val and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._entry_price = close
self._cooldown = 80
elif self._prev_fast >= self._prev_slow and fast_val < slow_val and close < trend_val and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._entry_price = close
self._cooldown = 80
self._prev_fast = fast_val
self._prev_slow = slow_val
def CreateClone(self):
return bruno_strategy()