PresentTrend Strategy
Uses ATR-based thresholds with RSI or MFI to track trend direction. The PresentTrend line is built by expanding or contracting based on oscillator value and ATR. Signals appear when PresentTrend crosses its value from two bars ago and the most recent opposite signal confirms direction.
- Long: PresentTrend crosses above its value two bars earlier and the last short signal was more recent than the previous long.
- Short: PresentTrend crosses below its value two bars earlier and the last long signal was more recent than the previous short.
- Indicators: ATR, RSI or MFI.
- Stops: Closes position when opposite signal appears in one-sided mode.
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>
/// PresentTrend strategy using EMA crossover.
/// </summary>
public class PresentTrendStrategy : Strategy
{
private readonly StrategyParam<int> _slowLength;
private readonly StrategyParam<DataType> _candleType;
/// <summary>
/// Slow EMA period.
/// </summary>
public int SlowLength
{
get => _slowLength.Value;
set => _slowLength.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public PresentTrendStrategy()
{
_slowLength = Param(nameof(SlowLength), 40)
.SetGreaterThanZero()
.SetDisplay("Slow Length", "Slow EMA period", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Candle type", "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 = SlowLength };
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 present_trend_strategy(Strategy):
def __init__(self):
super(present_trend_strategy, self).__init__()
self._slow_length = self.Param("SlowLength", 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(present_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(present_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._slow_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 present_trend_strategy()