This strategy implements the MultiTrend Signal KVN concept. It builds an adaptive price channel using the Average Directional Index (ADX) to determine the lookback window. When price closes above the channel, the strategy opens a long position. When price closes below the channel, it opens a short position.
The channel width is defined by parameter K as a percentage of the swing between recent highs and lows. KPeriod sets the base number of bars used for calculations, while the ADX value scales the actual window. KStop multiplies the average range and is added to breakout trades to determine stop distance.
The strategy is designed for both long and short trading and uses the 4-hour timeframe by default. No explicit stop-loss or take-profit is provided; protection can be enabled through the platform.
Details
Entry Criteria:
Long: Close price breaks above the upper adaptive band.
Short: Close price breaks below the lower adaptive band.
Long/Short: Both sides.
Exit Criteria:
Reverse signal in the opposite direction.
Stops: Optional via strategy protection.
Default Values:
K = 48
KStop = 0.5
KPeriod = 150
AdxPeriod = 14
Candle Type = 4-hour candles
Filters:
Category: Trend following
Direction: Both
Indicators: ADX, SMA, Max/Min
Stops: Optional
Complexity: Medium
Timeframe: Medium-term
Seasonality: No
Neural networks: No
Divergence: No
Risk level: Moderate
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>
/// Strategy based on the MultiTrend Signal indicator.
/// Builds an adaptive channel using Highest/Lowest and trades breakouts.
/// </summary>
public class ExpMultitrendSignalKvnStrategy : Strategy
{
private readonly StrategyParam<decimal> _k;
private readonly StrategyParam<int> _kPeriod;
private readonly StrategyParam<decimal> _stopLossPct;
private readonly StrategyParam<decimal> _takeProfitPct;
private readonly StrategyParam<DataType> _candleType;
private Highest _maxHigh;
private Lowest _minLow;
private int _trend;
public decimal K
{
get => _k.Value;
set => _k.Value = value;
}
public int KPeriod
{
get => _kPeriod.Value;
set => _kPeriod.Value = value;
}
public decimal StopLossPct
{
get => _stopLossPct.Value;
set => _stopLossPct.Value = value;
}
public decimal TakeProfitPct
{
get => _takeProfitPct.Value;
set => _takeProfitPct.Value = value;
}
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public ExpMultitrendSignalKvnStrategy()
{
_k = Param(nameof(K), 10m)
.SetDisplay("K", "Percent of swing used for channel width", "Indicator");
_kPeriod = Param(nameof(KPeriod), 20)
.SetDisplay("K Period", "Base period for swing calculation", "Indicator")
.SetGreaterThanZero();
_stopLossPct = Param(nameof(StopLossPct), 2m)
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk");
_takeProfitPct = Param(nameof(TakeProfitPct), 3m)
.SetDisplay("Take Profit %", "Take profit percentage", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles for calculation", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_maxHigh = default;
_minLow = default;
_trend = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_maxHigh = new Highest { Length = KPeriod };
_minLow = new Lowest { Length = KPeriod };
Indicators.Add(_maxHigh);
Indicators.Add(_minLow);
var subscription = SubscribeCandles(CandleType);
subscription.Bind(ProcessCandle).Start();
StartProtection(
takeProfit: new Unit(TakeProfitPct, UnitTypes.Percent),
stopLoss: new Unit(StopLossPct, UnitTypes.Percent),
useMarketOrders: true);
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
var maxResult = _maxHigh.Process(candle);
var minResult = _minLow.Process(candle);
if (!maxResult.IsFormed || !minResult.IsFormed)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var ssMax = maxResult.ToDecimal();
var ssMin = minResult.ToDecimal();
var swing = (ssMax - ssMin) * K / 100m;
var smin = ssMin + swing;
var smax = ssMax - swing;
if (candle.ClosePrice > smax)
{
if (_trend <= 0 && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
_trend = 1;
}
else if (candle.ClosePrice < smin)
{
if (_trend >= 0 && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_trend = -1;
}
}
}
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 Highest, Lowest, CandleIndicatorValue
from StockSharp.Algo.Strategies import Strategy
class exp_multitrend_signal_kvn_strategy(Strategy):
def __init__(self):
super(exp_multitrend_signal_kvn_strategy, self).__init__()
self._k = self.Param("K", 10.0) \
.SetDisplay("K", "Percent of swing used for channel width", "Indicator")
self._k_period = self.Param("KPeriod", 20) \
.SetDisplay("K Period", "Base period for swing calculation", "Indicator")
self._stop_loss_pct = self.Param("StopLossPct", 2.0) \
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk")
self._take_profit_pct = self.Param("TakeProfitPct", 3.0) \
.SetDisplay("Take Profit %", "Take profit percentage", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles for calculation", "General")
self._max_high = None
self._min_low = None
self._trend = 0
@property
def k(self):
return self._k.Value
@property
def k_period(self):
return self._k_period.Value
@property
def stop_loss_pct(self):
return self._stop_loss_pct.Value
@property
def take_profit_pct(self):
return self._take_profit_pct.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(exp_multitrend_signal_kvn_strategy, self).OnReseted()
self._max_high = None
self._min_low = None
self._trend = 0
def OnStarted2(self, time):
super(exp_multitrend_signal_kvn_strategy, self).OnStarted2(time)
self._max_high = Highest()
self._max_high.Length = self.k_period
self._min_low = Lowest()
self._min_low.Length = self.k_period
self.Indicators.Add(self._max_high)
self.Indicators.Add(self._min_low)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self.process_candle).Start()
self.StartProtection(
takeProfit=Unit(self.take_profit_pct, UnitTypes.Percent),
stopLoss=Unit(self.stop_loss_pct, UnitTypes.Percent),
useMarketOrders=True)
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def process_candle(self, candle):
if candle.State != CandleStates.Finished:
return
cv1 = CandleIndicatorValue(self._max_high, candle)
max_result = self._max_high.Process(cv1)
cv2 = CandleIndicatorValue(self._min_low, candle)
min_result = self._min_low.Process(cv2)
if not max_result.IsFormed or not min_result.IsFormed:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
ss_max = float(max_result)
ss_min = float(min_result)
swing = (ss_max - ss_min) * float(self.k) / 100.0
smin = ss_min + swing
smax = ss_max - swing
close = float(candle.ClosePrice)
if close > smax:
if self._trend <= 0 and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._trend = 1
elif close < smin:
if self._trend >= 0 and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._trend = -1
def CreateClone(self):
return exp_multitrend_signal_kvn_strategy()