Roboti ADX Profit Strategy
This strategy converts the original RobotiADXProfitwining.mq4 expert advisor into the StockSharp API. It relies on the Directional Movement Index (DMI) to determine trend direction.
Trading Logic
- Uses the
DirectionalIndexindicator with a default period of 14. - Works on one-hour candles by default, but the timeframe can be changed.
- Enters a long position when the
+DIline crosses above the-DIline and no long position is open. - Enters a short position when the
-DIline crosses above the+DIline and no short position is open. - Positions are protected by a trailing stop expressed as a percentage of price.
Parameters
| Name | Description | Default |
|---|---|---|
DmiPeriod |
Period for DMI calculation. | 14 |
CandleType |
Candle type and timeframe used by the strategy. | 1 hour |
TrailingStopPercent |
Size of the trailing stop in percent. | 1% |
Notes
The strategy uses the high-level binding API of StockSharp and avoids direct calls to indicator buffers. All comments in the code are in English as requested.
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>
/// Strategy that trades when DMI's +DI crosses above -DI and vice versa.
/// </summary>
public class RobotiAdxProfitStrategy : Strategy
{
private readonly StrategyParam<int> _dmiPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<decimal> _trailingStopPercent;
private readonly StrategyParam<int> _cooldownBars;
private DirectionalIndex _dmi = null!;
private decimal _prevPlus;
private decimal _prevMinus;
private int _barsSinceTrade;
/// <summary>
/// DMI calculation period.
/// </summary>
public int DmiPeriod
{
get => _dmiPeriod.Value;
set => _dmiPeriod.Value = value;
}
/// <summary>
/// Candle type used by the strategy.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Trailing stop size in percent.
/// </summary>
public decimal TrailingStopPercent
{
get => _trailingStopPercent.Value;
set => _trailingStopPercent.Value = value;
}
/// <summary>
/// Minimum number of bars between entries.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Initialize <see cref="RobotiAdxProfitStrategy"/>.
/// </summary>
public RobotiAdxProfitStrategy()
{
_dmiPeriod = Param(nameof(DmiPeriod), 14)
.SetDisplay("DMI Period", "Period for Directional Movement Index", "Indicators")
.SetOptimize(10, 30, 2);
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type and timeframe of candles", "General");
_trailingStopPercent = Param(nameof(TrailingStopPercent), 1m)
.SetDisplay("Trailing Stop %", "Trailing stop as percent", "Risk Management")
.SetGreaterThanZero()
.SetOptimize(0.5m, 5m, 0.5m);
_cooldownBars = Param(nameof(CooldownBars), 3)
.SetGreaterThanZero()
.SetDisplay("Cooldown Bars", "Minimum number of bars between entries", "Risk Management");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevPlus = 0m;
_prevMinus = 0m;
_barsSinceTrade = CooldownBars;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_dmi = new DirectionalIndex { Length = DmiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(_dmi, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _dmi);
DrawOwnTrades(area);
}
StartProtection(
stopLoss: new Unit(TrailingStopPercent, UnitTypes.Percent),
takeProfit: null,
isStopTrailing: true
);
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue dmiValue)
{
if (candle.State != CandleStates.Finished)
return;
var dmi = (DirectionalIndexValue)dmiValue;
if (dmi.Plus is not decimal plus || dmi.Minus is not decimal minus)
return;
_barsSinceTrade++;
var buySignal = _prevPlus <= _prevMinus && plus > minus;
var sellSignal = _prevPlus >= _prevMinus && minus > plus;
if (buySignal && Position <= 0 && _barsSinceTrade >= CooldownBars)
{
if (Position < 0)
BuyMarket();
BuyMarket();
_barsSinceTrade = 0;
}
else if (sellSignal && Position >= 0 && _barsSinceTrade >= CooldownBars)
{
if (Position > 0)
SellMarket();
SellMarket();
_barsSinceTrade = 0;
}
_prevPlus = plus;
_prevMinus = minus;
}
}
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, Unit, UnitTypes
from StockSharp.Algo.Indicators import DirectionalIndex
from StockSharp.Algo.Strategies import Strategy
class roboti_adx_profit_strategy(Strategy):
def __init__(self):
super(roboti_adx_profit_strategy, self).__init__()
self._dmi_period = self.Param("DmiPeriod", 14) \
.SetDisplay("DMI Period", "Period for Directional Movement Index", "Indicators") \
.SetOptimize(10, 30, 2)
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type and timeframe of candles", "General")
self._trailing_stop_percent = self.Param("TrailingStopPercent", 1.0) \
.SetDisplay("Trailing Stop %", "Trailing stop as percent", "Risk Management") \
.SetGreaterThanZero() \
.SetOptimize(0.5, 5.0, 0.5)
self._cooldown_bars = self.Param("CooldownBars", 3) \
.SetGreaterThanZero() \
.SetDisplay("Cooldown Bars", "Minimum number of bars between entries", "Risk Management")
self._prev_plus = 0.0
self._prev_minus = 0.0
self._bars_since_trade = 0
@property
def dmi_period(self):
return self._dmi_period.Value
@property
def candle_type(self):
return self._candle_type.Value
@property
def trailing_stop_percent(self):
return self._trailing_stop_percent.Value
@property
def cooldown_bars(self):
return self._cooldown_bars.Value
def OnReseted(self):
super(roboti_adx_profit_strategy, self).OnReseted()
self._prev_plus = 0.0
self._prev_minus = 0.0
self._bars_since_trade = self.cooldown_bars
def OnStarted2(self, time):
super(roboti_adx_profit_strategy, self).OnStarted2(time)
dmi = DirectionalIndex()
dmi.Length = self.dmi_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(dmi, self.process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, dmi)
self.DrawOwnTrades(area)
self.StartProtection(
None,
Unit(float(self.trailing_stop_percent), UnitTypes.Percent),
True)
def process_candle(self, candle, dmi_value):
if candle.State != CandleStates.Finished:
return
plus_val = dmi_value.Plus
minus_val = dmi_value.Minus
if plus_val is None or minus_val is None:
return
plus = float(plus_val)
minus = float(minus_val)
self._bars_since_trade += 1
buy_signal = self._prev_plus <= self._prev_minus and plus > minus
sell_signal = self._prev_plus >= self._prev_minus and minus > plus
if buy_signal and self.Position <= 0 and self._bars_since_trade >= self.cooldown_bars:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._bars_since_trade = 0
elif sell_signal and self.Position >= 0 and self._bars_since_trade >= self.cooldown_bars:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._bars_since_trade = 0
self._prev_plus = plus
self._prev_minus = minus
def CreateClone(self):
return roboti_adx_profit_strategy()