Стратегия Multi-Confluence Swing Hunter V1
Стратегия Multi-Confluence Swing Hunter V1 использует систему баллов, объединяющую RSI, MACD и ценовое действие, для выявления свинговых минимумов и максимумов. Длинная позиция открывается, когда бычьи сигналы достигают минимального входного балла, и закрывается при достижении выходного балла медвежьими сигналами.
Детали
- Условие входа: Сумма баллов ≥
MinEntryScoreпо сигналам RSI/MACD и бычьей структуре свечи. - Длинные/короткие: Только длинные.
- Условие выхода: Сумма баллов ≥
MinExitScoreпо сигналам RSI/MACD и медвежьей структуре свечи. - Стопы: Нет.
- Значения по умолчанию:
MacdFast= 3MacdSlow= 10MacdSignal= 3RsiLength= 21MinEntryScore= 13MinExitScore= 13MinLowerWickPercent= 50RsiOversold= 30RsiExtremeOversold= 25RsiOverbought= 70RsiExtremeOverbought= 75CandleType= TimeSpan.FromHours(1)
- Фильтры:
- Категория: Reversal
- Направление: Long
- Индикаторы: RSI, MACD
- Стопы: Нет
- Сложность: Средняя
- Таймфрейм: Среднесрочный
- Сезонность: Нет
- Нейросети: Нет
- Дивергенция: Нет
- Уровень риска: Средний
namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
/// <summary>
/// Multi-confluence swing hunter strategy using RSI, trend confirmation, and bullish candle scoring.
/// </summary>
public class MultiConfluenceSwingHunterV1Strategy : Strategy
{
private readonly StrategyParam<int> _rsiLength;
private readonly StrategyParam<int> _smaLength;
private readonly StrategyParam<int> _minEntryScore;
private readonly StrategyParam<int> _minExitScore;
private readonly StrategyParam<decimal> _rsiOversold;
private readonly StrategyParam<decimal> _rsiOverbought;
private readonly StrategyParam<int> _signalCooldownBars;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevRsi;
private bool _hasPrevValues;
private int _cooldownRemaining;
private DateTimeOffset? _lastEntryTime;
public int RsiLength { get => _rsiLength.Value; set => _rsiLength.Value = value; }
public int SmaLength { get => _smaLength.Value; set => _smaLength.Value = value; }
public int MinEntryScore { get => _minEntryScore.Value; set => _minEntryScore.Value = value; }
public int MinExitScore { get => _minExitScore.Value; set => _minExitScore.Value = value; }
public decimal RsiOversold { get => _rsiOversold.Value; set => _rsiOversold.Value = value; }
public decimal RsiOverbought { get => _rsiOverbought.Value; set => _rsiOverbought.Value = value; }
public int SignalCooldownBars { get => _signalCooldownBars.Value; set => _signalCooldownBars.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public MultiConfluenceSwingHunterV1Strategy()
{
_rsiLength = Param(nameof(RsiLength), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Length", "RSI calculation length", "Indicators");
_smaLength = Param(nameof(SmaLength), 20)
.SetGreaterThanZero()
.SetDisplay("SMA Length", "SMA period", "Indicators");
_minEntryScore = Param(nameof(MinEntryScore), 4)
.SetDisplay("Min Entry Score", "Minimum entry score", "Entry");
_minExitScore = Param(nameof(MinExitScore), 3)
.SetDisplay("Min Exit Score", "Minimum exit score", "Exit");
_rsiOversold = Param(nameof(RsiOversold), 35m)
.SetDisplay("RSI Oversold", "RSI oversold level", "RSI");
_rsiOverbought = Param(nameof(RsiOverbought), 65m)
.SetDisplay("RSI Overbought", "RSI overbought level", "RSI");
_signalCooldownBars = Param(nameof(SignalCooldownBars), 48)
.SetGreaterThanZero()
.SetDisplay("Signal Cooldown", "Bars to wait after an entry", "Trading");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevRsi = 0m;
_hasPrevValues = false;
_cooldownRemaining = 0;
_lastEntryTime = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var rsi = new RelativeStrengthIndex { Length = RsiLength };
var sma = new SMA { Length = SmaLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(rsi, sma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, sma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue, decimal smaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (!_hasPrevValues)
{
_prevRsi = rsiValue;
_hasPrevValues = true;
return;
}
if (_cooldownRemaining > 0)
_cooldownRemaining--;
var entryScore = 0;
if (rsiValue < RsiOversold)
entryScore += 2;
if (rsiValue > _prevRsi)
entryScore += 1;
if (candle.ClosePrice > smaValue)
entryScore += 1;
if (candle.ClosePrice > candle.OpenPrice)
entryScore += 1;
var exitScore = 0;
if (rsiValue > RsiOverbought)
exitScore += 2;
if (rsiValue < _prevRsi)
exitScore += 1;
if (candle.ClosePrice < smaValue)
exitScore += 1;
if (candle.ClosePrice < candle.OpenPrice)
exitScore += 1;
if (Position > 0 && exitScore >= MinExitScore)
{
SellMarket(Position);
_cooldownRemaining = SignalCooldownBars;
}
else if (Position == 0 && _cooldownRemaining == 0 && !HasRecentEntry(candle) && entryScore >= MinEntryScore)
{
BuyMarket();
_cooldownRemaining = SignalCooldownBars;
_lastEntryTime = candle.CloseTime != default ? candle.CloseTime : candle.OpenTime;
}
_prevRsi = rsiValue;
}
private bool HasRecentEntry(ICandleMessage candle)
{
if (!_lastEntryTime.HasValue)
return false;
var candleTime = candle.CloseTime != default ? candle.CloseTime : candle.OpenTime;
return candleTime.Date == _lastEntryTime.Value.Date;
}
}
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, SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class multi_confluence_swing_hunter_v1_strategy(Strategy):
def __init__(self):
super(multi_confluence_swing_hunter_v1_strategy, self).__init__()
self._rsi_length = self.Param("RsiLength", 14) \
.SetGreaterThanZero() \
.SetDisplay("RSI Length", "RSI calculation length", "Indicators")
self._sma_length = self.Param("SmaLength", 20) \
.SetGreaterThanZero() \
.SetDisplay("SMA Length", "SMA period", "Indicators")
self._min_entry_score = self.Param("MinEntryScore", 4) \
.SetDisplay("Min Entry Score", "Minimum entry score", "Entry")
self._min_exit_score = self.Param("MinExitScore", 3) \
.SetDisplay("Min Exit Score", "Minimum exit score", "Exit")
self._rsi_oversold = self.Param("RsiOversold", 35.0) \
.SetDisplay("RSI Oversold", "RSI oversold level", "RSI")
self._rsi_overbought = self.Param("RsiOverbought", 65.0) \
.SetDisplay("RSI Overbought", "RSI overbought level", "RSI")
self._signal_cooldown_bars = self.Param("SignalCooldownBars", 48) \
.SetGreaterThanZero() \
.SetDisplay("Signal Cooldown", "Bars to wait after an entry", "Trading")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._prev_rsi = 0.0
self._has_prev = False
self._cooldown_remaining = 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(multi_confluence_swing_hunter_v1_strategy, self).OnReseted()
self._prev_rsi = 0.0
self._has_prev = False
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(multi_confluence_swing_hunter_v1_strategy, self).OnStarted2(time)
self._prev_rsi = 0.0
self._has_prev = False
self._cooldown_remaining = 0
self._rsi = RelativeStrengthIndex()
self._rsi.Length = self._rsi_length.Value
self._sma = SimpleMovingAverage()
self._sma.Length = self._sma_length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._rsi, self._sma, self.OnProcess).Start()
def OnProcess(self, candle, rsi_value, sma_value):
if candle.State != CandleStates.Finished:
return
rv = float(rsi_value)
sv = float(sma_value)
if not self._has_prev:
self._prev_rsi = rv
self._has_prev = True
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
close = float(candle.ClosePrice)
opn = float(candle.OpenPrice)
os_level = float(self._rsi_oversold.Value)
ob_level = float(self._rsi_overbought.Value)
entry_score = 0
if rv < os_level:
entry_score += 2
if rv > self._prev_rsi:
entry_score += 1
if close > sv:
entry_score += 1
if close > opn:
entry_score += 1
exit_score = 0
if rv > ob_level:
exit_score += 2
if rv < self._prev_rsi:
exit_score += 1
if close < sv:
exit_score += 1
if close < opn:
exit_score += 1
if self.Position > 0 and exit_score >= self._min_exit_score.Value:
self.SellMarket()
self._cooldown_remaining = self._signal_cooldown_bars.Value
elif self.Position == 0 and self._cooldown_remaining == 0 and entry_score >= self._min_entry_score.Value:
self.BuyMarket()
self._cooldown_remaining = self._signal_cooldown_bars.Value
self._prev_rsi = rv
def CreateClone(self):
return multi_confluence_swing_hunter_v1_strategy()