Pivot Percentile Trend Strategy
This strategy computes percentile-based trend strength across multiple lookbacks and combines it with a SuperTrend filter. Long trades occur when trend strength is positive and price is above the SuperTrend line. Short trades are taken when trend strength is negative and price is below the SuperTrend.
Details
- Indicators: percentile analysis, SuperTrend
- Direction: Both
- Timeframe: Any
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>
/// Pivot Percentile Trend Strategy.
/// Uses EMA crossover with trend filter.
/// </summary>
public class PivotPercentileTrendStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _percentileLength;
/// <summary>
/// Candle type for strategy calculation.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Base length for slow EMA.
/// </summary>
public int PercentileLength
{
get => _percentileLength.Value;
set => _percentileLength.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public PivotPercentileTrendStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_percentileLength = Param(nameof(PercentileLength), 40)
.SetGreaterThanZero()
.SetDisplay("Percentile Length", "Slow EMA length", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fast = new ExponentialMovingAverage { Length = 14 };
var slow = new ExponentialMovingAverage { Length = PercentileLength };
var prevF = 0m;
var prevS = 0m;
var init = false;
var lastSignal = DateTimeOffset.MinValue;
var cooldown = TimeSpan.FromMinutes(360);
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fast, slow, (candle, f, s) =>
{
if (candle.State != CandleStates.Finished)
return;
if (!fast.IsFormed || !slow.IsFormed)
return;
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
from StockSharp.Algo.Strategies import Strategy
class pivot_percentile_trend_strategy(Strategy):
def __init__(self):
super(pivot_percentile_trend_strategy, self).__init__()
self._percentile_length = self.Param("PercentileLength", 40) \
.SetGreaterThanZero()
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(pivot_percentile_trend_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(pivot_percentile_trend_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._percentile_length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._fast, self._slow, self.OnProcess).Start()
def OnProcess(self, candle, f, s):
if candle.State != CandleStates.Finished:
return
if not self._fast.IsFormed or not self._slow.IsFormed:
return
fv = float(f)
sv = float(s)
if not self._initialized:
self._prev_fast = fv
self._prev_slow = sv
self._initialized = True
return
cooldown_ticks = TimeSpan.FromMinutes(360).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 pivot_percentile_trend_strategy()