Kolier SuperTrend
Strategy based on Kolier SuperTrend indicator which applies ATR bands to detect trend reversals.
The indicator draws dynamic support and resistance levels derived from ATR. A bullish reversal occurs when price closes above the lower band and the line flips below price. A bearish reversal happens when price closes below the upper band.
By following this adaptive trail, the strategy attempts to ride strong trends while staying protected when momentum fades.
Details
- Entry Criteria: Price crossing the SuperTrend line.
- Long/Short: Both directions.
- Exit Criteria: Opposite crossover.
- Stops: No.
- Default Values:
Period= 10Multiplier= 3.0mCandleType= TimeSpan.FromHours(4)
- Filters:
- Category: Trend
- Direction: Both
- Indicators: ATR, SuperTrend
- Stops: No
- Complexity: Basic
- Timeframe: Swing (4h)
- Seasonality: No
- Neural Networks: No
- Divergence: No
- Risk Level: Medium
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>
/// Kolier SuperTrend strategy based on ATR bands.
/// Enters long when price crosses above the SuperTrend line and short when crossing below.
/// </summary>
public class KolierSuperTrendStrategy : Strategy
{
private readonly StrategyParam<int> _period;
private readonly StrategyParam<decimal> _multiplier;
private readonly StrategyParam<DataType> _candleType;
private AverageTrueRange _atr;
private bool _prevPriceAbove;
private decimal _prevSupertrend;
private bool _isInitialized;
public int Period { get => _period.Value; set => _period.Value = value; }
public decimal Multiplier { get => _multiplier.Value; set => _multiplier.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public KolierSuperTrendStrategy()
{
_period = Param(nameof(Period), 10)
.SetDisplay("ATR Period", "ATR period for SuperTrend", "Indicators")
.SetOptimize(5, 20, 1);
_multiplier = Param(nameof(Multiplier), 3.0m)
.SetDisplay("ATR Multiplier", "ATR multiplier for SuperTrend", "Indicators")
.SetOptimize(2.0m, 4.0m, 0.5m);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevPriceAbove = false;
_prevSupertrend = 0m;
_isInitialized = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_atr = new AverageTrueRange { Length = Period };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
var atrResult = _atr.Process(candle);
if (!atrResult.IsFormed)
return;
var atrValue = atrResult.ToDecimal();
var median = (candle.HighPrice + candle.LowPrice) / 2m;
var upper = median + Multiplier * atrValue;
var lower = median - Multiplier * atrValue;
decimal supertrend;
if (!_isInitialized)
{
supertrend = candle.ClosePrice > median ? lower : upper;
_prevSupertrend = supertrend;
_prevPriceAbove = candle.ClosePrice > supertrend;
_isInitialized = true;
return;
}
if (_prevSupertrend <= candle.HighPrice)
supertrend = Math.Max(lower, _prevSupertrend);
else if (_prevSupertrend >= candle.LowPrice)
supertrend = Math.Min(upper, _prevSupertrend);
else
supertrend = candle.ClosePrice > _prevSupertrend ? lower : upper;
var priceAbove = candle.ClosePrice > supertrend;
var crossUp = priceAbove && !_prevPriceAbove;
var crossDown = !priceAbove && _prevPriceAbove;
if (crossUp && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (crossDown && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevSupertrend = supertrend;
_prevPriceAbove = priceAbove;
}
}
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 AverageTrueRange, CandleIndicatorValue
from StockSharp.Algo.Strategies import Strategy
class kolier_super_trend_strategy(Strategy):
"""
Kolier SuperTrend: ATR-based trend following.
Enters long when price crosses above SuperTrend, short when below.
"""
def __init__(self):
super(kolier_super_trend_strategy, self).__init__()
self._period = self.Param("Period", 10) \
.SetDisplay("ATR Period", "ATR period for SuperTrend", "Indicators")
self._multiplier = self.Param("Multiplier", 3.0) \
.SetDisplay("ATR Multiplier", "ATR multiplier for SuperTrend", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._atr = None
self._prev_price_above = False
self._prev_supertrend = 0.0
self._is_initialized = False
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(kolier_super_trend_strategy, self).OnReseted()
self._prev_price_above = False
self._prev_supertrend = 0.0
self._is_initialized = False
def OnStarted2(self, time):
super(kolier_super_trend_strategy, self).OnStarted2(time)
self._atr = AverageTrueRange()
self._atr.Length = self._period.Value
self.Indicators.Add(self._atr)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._process_candle).Start()
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
atr_inp = CandleIndicatorValue(self._atr, candle)
atr_result = self._atr.Process(atr_inp)
if not atr_result.IsFormed:
return
atr_val = float(atr_result)
high = float(candle.HighPrice)
low = float(candle.LowPrice)
close = float(candle.ClosePrice)
median = (high + low) / 2.0
mult = self._multiplier.Value
upper = median + mult * atr_val
lower = median - mult * atr_val
if not self._is_initialized:
supertrend = lower if close > median else upper
self._prev_supertrend = supertrend
self._prev_price_above = close > supertrend
self._is_initialized = True
return
if self._prev_supertrend <= high:
supertrend = max(lower, self._prev_supertrend)
elif self._prev_supertrend >= low:
supertrend = min(upper, self._prev_supertrend)
else:
supertrend = lower if close > self._prev_supertrend else upper
price_above = close > supertrend
cross_up = price_above and not self._prev_price_above
cross_down = not price_above and self._prev_price_above
if cross_up and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif cross_down and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_supertrend = supertrend
self._prev_price_above = price_above
def CreateClone(self):
return kolier_super_trend_strategy()