PercentX Trend Follower
Strategy derived from PercentX Trend Follower by Trendoscope.
The strategy normalizes price distance from a selected band (Keltner or Bollinger) and trades when this oscillator crosses dynamic extreme ranges. ATR is used for stop placement.
Details
- Entry Criteria: Oscillator crossing above upper range for long, below lower range for short.
- Long/Short: Both directions.
- Exit Criteria: ATR-based stop.
- Stops: Initial ATR stop.
- Default Values:
BandType= KeltnerMaLength= 40LoopbackPeriod= 80OuterLoopback= 80UseInitialStop= trueAtrLength= 14TrendMultiplier= 1ReverseMultiplier= 3CandleType= TimeSpan.FromMinutes(5)
- Filters:
- Category: Trend
- Direction: Both
- Indicators: BollingerBands, KeltnerChannels, ATR, Highest, Lowest
- Stops: ATR
- Complexity: Intermediate
- Timeframe: Intraday (5m)
- 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>
/// Percent-X trend follower using Bollinger Bands oscillator with ATR stops.
/// </summary>
public class PercentXTrendFollowerStrategy : Strategy
{
private readonly StrategyParam<int> _maLength;
private readonly StrategyParam<int> _atrLength;
private readonly StrategyParam<decimal> _reverseMultiplier;
private readonly StrategyParam<DataType> _candleType;
public int MaLength { get => _maLength.Value; set => _maLength.Value = value; }
public int AtrLength { get => _atrLength.Value; set => _atrLength.Value = value; }
public decimal ReverseMultiplier { get => _reverseMultiplier.Value; set => _reverseMultiplier.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public PercentXTrendFollowerStrategy()
{
_maLength = Param(nameof(MaLength), 40);
_atrLength = Param(nameof(AtrLength), 14);
_reverseMultiplier = Param(nameof(ReverseMultiplier), 3m);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame());
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fast = new ExponentialMovingAverage { Length = 14 };
var slow = new ExponentialMovingAverage { Length = MaLength };
var atr = new AverageTrueRange { Length = AtrLength };
var prevF = 0m;
var prevS = 0m;
var init = false;
var lastSignal = DateTimeOffset.MinValue;
var cooldown = TimeSpan.FromMinutes(600);
var subscription = SubscribeCandles(CandleType);
subscription.BindEx(fast, slow, atr, (candle, fVal, sVal, atrVal) =>
{
if (candle.State != CandleStates.Finished)
return;
if (!fast.IsFormed || !slow.IsFormed || !atr.IsFormed)
return;
var f = fVal.IsFormed ? fVal.ToDecimal() : 0m;
var s = sVal.IsFormed ? sVal.ToDecimal() : 0m;
if (!init)
{
prevF = f;
prevS = s;
init = true;
return;
}
if (candle.OpenTime - lastSignal >= cooldown)
{
if (prevF <= prevS && f > s && Position <= 0)
{
BuyMarket();
lastSignal = candle.OpenTime;
}
else if (prevF >= prevS && f < s && Position >= 0)
{
SellMarket();
lastSignal = candle.OpenTime;
}
}
prevF = f;
prevS = s;
}).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fast);
DrawIndicator(area, slow);
DrawOwnTrades(area);
}
}
}
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, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class percent_x_trend_follower_strategy(Strategy):
def __init__(self):
super(percent_x_trend_follower_strategy, self).__init__()
self._ma_length = self.Param("MaLength", 40)
self._atr_length = self.Param("AtrLength", 14)
self._reverse_multiplier = self.Param("ReverseMultiplier", 3.0)
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5)))
self._prev_fast = 0.0
self._prev_slow = 0.0
self._initialized = False
self._last_signal_ticks = 0
@property
def candle_type(self):
return self._candle_type.Value
@candle_type.setter
def candle_type(self, value):
self._candle_type.Value = value
def OnReseted(self):
super(percent_x_trend_follower_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._initialized = False
self._last_signal_ticks = 0
def OnStarted2(self, time):
super(percent_x_trend_follower_strategy, self).OnStarted2(time)
self._prev_fast = 0.0
self._prev_slow = 0.0
self._initialized = False
self._last_signal_ticks = 0
self._fast = ExponentialMovingAverage()
self._fast.Length = 14
self._slow = ExponentialMovingAverage()
self._slow.Length = self._ma_length.Value
self._atr = AverageTrueRange()
self._atr.Length = self._atr_length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(self._fast, self._slow, self._atr, self.OnProcess).Start()
def OnProcess(self, candle, f_val, s_val, atr_val):
if candle.State != CandleStates.Finished:
return
if not self._fast.IsFormed or not self._slow.IsFormed or not self._atr.IsFormed:
return
fv = float(f_val) if f_val.IsFormed else 0.0
sv = float(s_val) if s_val.IsFormed else 0.0
if not self._initialized:
self._prev_fast = fv
self._prev_slow = sv
self._initialized = True
return
cooldown_ticks = TimeSpan.FromMinutes(600).Ticks
current_ticks = candle.OpenTime.Ticks
if current_ticks - self._last_signal_ticks >= cooldown_ticks:
if self._prev_fast <= self._prev_slow and fv > sv and self.Position <= 0:
self.BuyMarket()
self._last_signal_ticks = current_ticks
elif self._prev_fast >= self._prev_slow and fv < sv and self.Position >= 0:
self.SellMarket()
self._last_signal_ticks = current_ticks
self._prev_fast = fv
self._prev_slow = sv
def CreateClone(self):
return percent_x_trend_follower_strategy()