Eine gitterbasierte Strategie, die Preisniveaus aus RSI-Überkauft- und Überverkauft-Signalen ableitet. Wenn RSI ein Extrem kreuzt, werden dynamische Gitterlinien aus jüngsten Hochs und Tiefs neu berechnet. Trades erfolgen, wenn der Preis über oder unter das nächste Gitterniveau bricht. Optionale Shorts werden unterstützt.
Details
Einstiegskriterien: Preis kreuzt die nächste Gitterlinie nach einem RSI-Extrem.
Long/Short: Long standardmäßig, Shorts optional.
Ausstiegskriterien: Preis kreuzt die entgegengesetzte Gitterlinie.
Stops: Nein.
Standardwerte:
RsiPeriod = 14
Overbought = 70
Oversold = 30
CandleType = TimeSpan.FromMinutes(5)
UseShorts = false
Filter:
Kategorie: Gitter
Richtung: Beide
Indikatoren: RSI, Highest, Lowest
Stops: Nein
Komplexität: Mittel
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>
/// RSI box pseudo grid bot strategy using EMA crossover.
/// </summary>
public class RsiBoxPseudoGridBotStrategy : 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 RsiBoxPseudoGridBotStrategy()
{
_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
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class rsi_box_pseudo_grid_bot_strategy(Strategy):
def __init__(self):
super(rsi_box_pseudo_grid_bot_strategy, self).__init__()
self._slow_length = self.Param("SlowLength", 40) \
.SetGreaterThanZero() \
.SetDisplay("Slow Length", "Slow EMA period", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Candle type", "General")
self._prev_f = 0.0
self._prev_s = 0.0
self._init = False
self._last_signal_ticks = 0
@property
def slow_length(self):
return self._slow_length.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(rsi_box_pseudo_grid_bot_strategy, self).OnReseted()
self._prev_f = 0.0
self._prev_s = 0.0
self._init = False
self._last_signal_ticks = 0
def OnStarted2(self, time):
super(rsi_box_pseudo_grid_bot_strategy, self).OnStarted2(time)
self._fast = ExponentialMovingAverage()
self._fast.Length = 14
self._slow = ExponentialMovingAverage()
self._slow.Length = self.slow_length
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._fast, self._slow, self.on_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._fast)
self.DrawIndicator(area, self._slow)
self.DrawOwnTrades(area)
def on_candle(self, candle, f, s):
if candle.State != CandleStates.Finished:
return
if not self._fast.IsFormed or not self._slow.IsFormed:
return
f = float(f)
s = float(s)
if not self._init:
self._prev_f = f
self._prev_s = s
self._init = 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_f <= self._prev_s and f > s and self.Position <= 0:
self.BuyMarket()
self._last_signal_ticks = current_ticks
elif self._prev_f >= self._prev_s and f < s and self.Position >= 0:
self.SellMarket()
self._last_signal_ticks = current_ticks
self._prev_f = f
self._prev_s = s
def CreateClone(self):
return rsi_box_pseudo_grid_bot_strategy()