Trend Following KNN ist eine vereinfachte Strategie, die die durchschnittliche Preisänderung über ein Fenster misst und den Preis mit einem gleitenden Durchschnitt vergleicht.
Sie kauft, wenn die durchschnittliche Änderung positiv und der Preis über dem gleitenden Durchschnitt liegt, und verkauft, wenn die durchschnittliche Änderung negativ und der Preis darunter liegt.
Details
Einstiegskriterien: positive/negative durchschnittliche Änderung mit Preis über/unter dem gleitenden Durchschnitt
Long/Short: Beide
Ausstiegskriterien: entgegengesetztes Signal
Stops: Nein
Standardwerte:
WindowSize = 20
MaLength = 50
Filter:
Kategorie: Trend
Richtung: Beide
Indikatoren: SMA
Stops: Nein
Komplexität: Grundlegend
Zeitrahmen: Intraday
Saisonalität: Nein
Neuronale Netze: Nein
Divergenz: Nein
Risikolevel: Mittel
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>
/// Trend Following KNN strategy using EMA crossover.
/// </summary>
public class TrendFollowingKnnStrategy : Strategy
{
private readonly StrategyParam<int> _slowLength;
private readonly StrategyParam<DataType> _candleType;
public int SlowLength { get => _slowLength.Value; set => _slowLength.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public TrendFollowingKnnStrategy()
{
_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");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
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, DateTime
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class trend_following_knn_strategy(Strategy):
def __init__(self):
super(trend_following_knn_strategy, self).__init__()
self._slow_length = self.Param("SlowLength", 40) .SetDisplay("Slow Length", "Slow EMA period", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) .SetDisplay("Candle Type", "Candle type", "General")
@property
def slow_length(self):
return self._slow_length.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnStarted2(self, time):
super(trend_following_knn_strategy, self).OnStarted2(time)
fast = ExponentialMovingAverage()
fast.Length = 14
slow = ExponentialMovingAverage()
slow.Length = self.slow_length
self._prev_f = 0.0
self._prev_s = 0.0
self._init = False
self._last_signal = DateTime.MinValue
self._cooldown = TimeSpan.FromMinutes(360)
subscription = self.SubscribeCandles(self.candle_type)
def on_candle(candle, f, s):
if candle.State != CandleStates.Finished:
return
if not fast.IsFormed or not slow.IsFormed:
return
fv = float(f)
sv = float(s)
if not self._init:
self._prev_f = fv
self._prev_s = sv
self._init = True
return
if candle.OpenTime - self._last_signal >= self._cooldown:
if self._prev_f <= self._prev_s and fv > sv and self.Position <= 0:
self.BuyMarket()
self._last_signal = candle.OpenTime
elif self._prev_f >= self._prev_s and fv < sv and self.Position >= 0:
self.SellMarket()
self._last_signal = candle.OpenTime
self._prev_f = fv
self._prev_s = sv
subscription.Bind(fast, slow, on_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast)
self.DrawIndicator(area, slow)
self.DrawOwnTrades(area)
def CreateClone(self):
return trend_following_knn_strategy()