RSI-Histogramm-Strategie
Diese Strategie verwendet das RSI-Histogramm (Relative Strength Index), um Umkehrungen zu erkennen, wenn der Oszillator extreme Zonen verlässt. Das Histogramm färbt den RSI-Wert basierend auf zwei Schwellenwerten: einem hohen Niveau für die überkaufte Zone und einem niedrigen Niveau für die überverkaufte Zone. Wenn die Farbe von Grün (überkauft) zu Grau oder Rot wechselt, schließt die Strategie Short-Positionen und eröffnet eine Long-Position. Wenn die Farbe von Rot (überverkauft) zu Grau oder Grün wechselt, werden Long-Positionen geschlossen und eine Short-Position eröffnet.
Die Implementierung basiert auf der hochrangigen StockSharp-API und abonniert Kerzendaten eines ausgewählten Zeitrahmens. Ein RSI-Indikator verarbeitet die Kerzen und generiert Signale, wenn sein Wert die definierten Zonen verlässt. Optionale Parameter ermöglichen es, Ein- und Ausstiege für jede Seite separat zu aktivieren oder zu deaktivieren.
Die Strategie dient zu Bildungszwecken und demonstriert, wie man einen MQL-Expert Advisor in das StockSharp-Framework konvertiert.
Details
- Einstiegskriterien:
- Long: Der vorherige Balken war über dem hohen Niveau und der letzte Balken fiel darunter.
- Short: Der vorherige Balken war unter dem niedrigen Niveau und der letzte Balken stieg darüber.
- Long/Short: Beide Seiten.
- Ausstiegskriterien:
- Ein entgegengesetztes Signal schließt die aktuelle Position, wenn erlaubt.
- Stops: Keine integrierten Stops; das
StartProtection-Framework ist für die Hinzufügung vorbereitet.
- Standardwerte:
RSI period = 14
High level = 60
Low level = 40
Timeframe = 4 hours
- Filter:
- Kategorie: Mean Reversion
- Richtung: Beide
- Indikatoren: Einzeln
- Stops: Optional
- Komplexität: Einfach
- Zeitrahmen: Mittelfristig
- Saisonalität: Nein
- Neuronale Netze: Nein
- Divergenz: Nein
- Risikolevel: Moderat
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Strategy based on RSI histogram color changes.
/// Opens long when RSI leaves the overbought zone.
/// Opens short when RSI leaves the oversold zone.
/// </summary>
public class RsiHistogramStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _highLevel;
private readonly StrategyParam<decimal> _lowLevel;
private readonly StrategyParam<bool> _buyPosOpen;
private readonly StrategyParam<bool> _sellPosOpen;
private readonly StrategyParam<bool> _buyPosClose;
private readonly StrategyParam<bool> _sellPosClose;
private readonly StrategyParam<DataType> _candleType;
private int _prevClass = -1;
private int _prevPrevClass = -1;
/// <summary>
/// RSI period length.
/// </summary>
public int RsiPeriod
{
get => _rsiPeriod.Value;
set => _rsiPeriod.Value = value;
}
/// <summary>
/// Overbought threshold.
/// </summary>
public decimal HighLevel
{
get => _highLevel.Value;
set => _highLevel.Value = value;
}
/// <summary>
/// Oversold threshold.
/// </summary>
public decimal LowLevel
{
get => _lowLevel.Value;
set => _lowLevel.Value = value;
}
/// <summary>
/// Allow opening long positions.
/// </summary>
public bool BuyPosOpen
{
get => _buyPosOpen.Value;
set => _buyPosOpen.Value = value;
}
/// <summary>
/// Allow opening short positions.
/// </summary>
public bool SellPosOpen
{
get => _sellPosOpen.Value;
set => _sellPosOpen.Value = value;
}
/// <summary>
/// Allow closing long positions on opposite signal.
/// </summary>
public bool BuyPosClose
{
get => _buyPosClose.Value;
set => _buyPosClose.Value = value;
}
/// <summary>
/// Allow closing short positions on opposite signal.
/// </summary>
public bool SellPosClose
{
get => _sellPosClose.Value;
set => _sellPosClose.Value = value;
}
/// <summary>
/// Candle type used for calculations.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public RsiHistogramStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetDisplay("RSI Period", "Length of the RSI indicator", "RSI")
.SetGreaterThanZero()
.SetOptimize(5, 30, 1);
_highLevel = Param(nameof(HighLevel), 60m)
.SetDisplay("High Level", "Overbought threshold", "RSI")
.SetOptimize(55m, 70m, 5m);
_lowLevel = Param(nameof(LowLevel), 40m)
.SetDisplay("Low Level", "Oversold threshold", "RSI")
.SetOptimize(30m, 45m, 5m);
_buyPosOpen = Param(nameof(BuyPosOpen), true)
.SetDisplay("Enable Buy Entry", "Allow long entries when signal appears", "Trading");
_sellPosOpen = Param(nameof(SellPosOpen), true)
.SetDisplay("Enable Sell Entry", "Allow short entries when signal appears", "Trading");
_buyPosClose = Param(nameof(BuyPosClose), true)
.SetDisplay("Close Buy Positions", "Allow closing longs on opposite signal", "Trading");
_sellPosClose = Param(nameof(SellPosClose), true)
.SetDisplay("Close Sell Positions", "Allow closing shorts on opposite signal", "Trading");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Timeframe for RSI calculation", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevClass = -1;
_prevPrevClass = -1;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(rsi, (candle, rsiValue) =>
{
if (candle.State != CandleStates.Finished)
return;
var currentClass = rsiValue > HighLevel ? 0 : rsiValue < LowLevel ? 2 : 1;
if (!IsFormedAndOnlineAndAllowTrading())
{
_prevPrevClass = _prevClass;
_prevClass = currentClass;
return;
}
if (_prevPrevClass == 0 && _prevClass > 0)
{
if (SellPosClose && Position < 0)
BuyMarket();
if (BuyPosOpen && Position <= 0)
BuyMarket();
}
else if (_prevPrevClass == 2 && _prevClass < 2)
{
if (BuyPosClose && Position > 0)
SellMarket();
if (SellPosOpen && Position >= 0)
SellMarket();
}
_prevPrevClass = _prevClass;
_prevClass = currentClass;
})
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, rsi);
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 RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class rsi_histogram_strategy(Strategy):
def __init__(self):
super(rsi_histogram_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 14).SetDisplay("RSI Period", "Length of the RSI indicator", "RSI")
self._high_level = self.Param("HighLevel", 60.0).SetDisplay("High Level", "Overbought threshold", "RSI")
self._low_level = self.Param("LowLevel", 40.0).SetDisplay("Low Level", "Oversold threshold", "RSI")
self._buy_pos_open = self.Param("BuyPosOpen", True).SetDisplay("Enable Buy Entry", "Allow long entries when signal appears", "Trading")
self._sell_pos_open = self.Param("SellPosOpen", True).SetDisplay("Enable Sell Entry", "Allow short entries when signal appears", "Trading")
self._buy_pos_close = self.Param("BuyPosClose", True).SetDisplay("Close Buy Positions", "Allow closing longs on opposite signal", "Trading")
self._sell_pos_close = self.Param("SellPosClose", True).SetDisplay("Close Sell Positions", "Allow closing shorts on opposite signal", "Trading")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))).SetDisplay("Candle Type", "Timeframe for RSI calculation", "General")
self._prev_class = -1
self._prev_prev_class = -1
@property
def rsi_period(self): return self._rsi_period.Value
@property
def high_level(self): return self._high_level.Value
@property
def low_level(self): return self._low_level.Value
@property
def buy_pos_open(self): return self._buy_pos_open.Value
@property
def sell_pos_open(self): return self._sell_pos_open.Value
@property
def buy_pos_close(self): return self._buy_pos_close.Value
@property
def sell_pos_close(self): return self._sell_pos_close.Value
@property
def candle_type(self): return self._candle_type.Value
def OnReseted(self):
super(rsi_histogram_strategy, self).OnReseted()
self._prev_class = -1
self._prev_prev_class = -1
def OnStarted2(self, time):
super(rsi_histogram_strategy, self).OnStarted2(time)
rsi = RelativeStrengthIndex()
rsi.Length = self.rsi_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(rsi, self.process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, rsi)
self.DrawOwnTrades(area)
def process_candle(self, candle, rsi_value):
if candle.State != CandleStates.Finished: return
rv = float(rsi_value)
hl = float(self.high_level)
ll = float(self.low_level)
if rv > hl: current_class = 0
elif rv < ll: current_class = 2
else: current_class = 1
if not self.IsFormedAndOnlineAndAllowTrading():
self._prev_prev_class = self._prev_class
self._prev_class = current_class
return
if self._prev_prev_class == 0 and self._prev_class > 0:
if self.sell_pos_close and self.Position < 0:
self.BuyMarket()
if self.buy_pos_open and self.Position <= 0:
self.BuyMarket()
elif self._prev_prev_class == 2 and self._prev_class < 2:
if self.buy_pos_close and self.Position > 0:
self.SellMarket()
if self.sell_pos_open and self.Position >= 0:
self.SellMarket()
self._prev_prev_class = self._prev_class
self._prev_class = current_class
def CreateClone(self): return rsi_histogram_strategy()