Estratégia Quantum Sentiment Flux (Iniciante)
Esta estratégia entra comprada quando a EMA rápida cruza acima da EMA lenta e a diferença entre elas supera um limiar baseado em ATR. Entra vendida no sinal oposto. As posições são encerradas quando o preço se move um múltiplo de ATR contra a operação ou atinge uma meta de lucro de dois múltiplos de ATR. Um período de resfriamento limita a frequência de operações.
Parâmetros
- Tipo de vela
- Comprimento da EMA rápida
- Comprimento da EMA lenta
- Período ATR
- Multiplicador ATR
- Limiar de força da MA
- Barras de resfriamento
- Quantidade
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>
/// Quantum Sentiment Flux (Beginners).
/// Trades EMA crosses only when the separation is strong enough relative to ATR,
/// and manages the position with ATR-based stop/target distances.
/// </summary>
public class QuantumSentimentFluxBeginnersStrategy : Strategy
{
private readonly StrategyParam<int> _fastEmaPeriod;
private readonly StrategyParam<int> _slowEmaPeriod;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<decimal> _atrMultiplier;
private readonly StrategyParam<decimal> _maStrengthThreshold;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<decimal> _quantity;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private decimal _entryPrice;
private decimal _entryAtr;
private int _cooldownRemaining;
public int FastEmaPeriod { get => _fastEmaPeriod.Value; set => _fastEmaPeriod.Value = value; }
public int SlowEmaPeriod { get => _slowEmaPeriod.Value; set => _slowEmaPeriod.Value = value; }
public int AtrPeriod { get => _atrPeriod.Value; set => _atrPeriod.Value = value; }
public decimal AtrMultiplier { get => _atrMultiplier.Value; set => _atrMultiplier.Value = value; }
public decimal MaStrengthThreshold { get => _maStrengthThreshold.Value; set => _maStrengthThreshold.Value = value; }
public int CooldownBars { get => _cooldownBars.Value; set => _cooldownBars.Value = value; }
public decimal Quantity { get => _quantity.Value; set => _quantity.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public QuantumSentimentFluxBeginnersStrategy()
{
_fastEmaPeriod = Param(nameof(FastEmaPeriod), 7)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA length.", "Indicators");
_slowEmaPeriod = Param(nameof(SlowEmaPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA length.", "Indicators");
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("ATR Length", "ATR length used for strength and protection.", "Indicators");
_atrMultiplier = Param(nameof(AtrMultiplier), 1m)
.SetGreaterThanZero()
.SetDisplay("ATR Multiplier", "ATR multiple used for the stop distance.", "Risk");
_maStrengthThreshold = Param(nameof(MaStrengthThreshold), 0.18m)
.SetNotNegative()
.SetDisplay("MA Strength Threshold", "Minimum EMA separation expressed as ATR multiples.", "Signals");
_cooldownBars = Param(nameof(CooldownBars), 5)
.SetNotNegative()
.SetDisplay("Cooldown Bars", "Finished bars to wait after a completed trade before a new entry.", "Signals");
_quantity = Param(nameof(Quantity), 1m)
.SetGreaterThanZero()
.SetDisplay("Quantity", "Order volume for entries.", "Trading");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use.", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_prevFast = 0m;
_prevSlow = 0m;
_entryPrice = 0m;
_entryAtr = 0m;
_cooldownRemaining = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fast = new ExponentialMovingAverage { Length = FastEmaPeriod };
var slow = new ExponentialMovingAverage { Length = SlowEmaPeriod };
var atr = new AverageTrueRange { Length = AtrPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(fast, slow, atr, ProcessCandle).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fast);
DrawIndicator(area, slow);
DrawIndicator(area, atr);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal slow, decimal atr)
{
if (candle.State != CandleStates.Finished)
return;
if (_prevFast == 0m || _prevSlow == 0m)
{
_prevFast = fast;
_prevSlow = slow;
return;
}
// Protection is evaluated regardless of the entry cooldown.
if (Position > 0 && _entryPrice > 0m && _entryAtr > 0m)
{
var stopDistance = _entryAtr * AtrMultiplier;
if (candle.LowPrice <= _entryPrice - stopDistance ||
candle.HighPrice >= _entryPrice + stopDistance * 2m)
{
SellMarket(Math.Abs(Position));
ResetPositionState();
_cooldownRemaining = CooldownBars;
_prevFast = fast;
_prevSlow = slow;
return;
}
}
else if (Position < 0 && _entryPrice > 0m && _entryAtr > 0m)
{
var stopDistance = _entryAtr * AtrMultiplier;
if (candle.HighPrice >= _entryPrice + stopDistance ||
candle.LowPrice <= _entryPrice - stopDistance * 2m)
{
BuyMarket(Math.Abs(Position));
ResetPositionState();
_cooldownRemaining = CooldownBars;
_prevFast = fast;
_prevSlow = slow;
return;
}
}
if (_cooldownRemaining > 0)
_cooldownRemaining--;
var crossUp = _prevFast <= _prevSlow && fast > slow;
var crossDown = _prevFast >= _prevSlow && fast < slow;
if (_cooldownRemaining == 0 && Position == 0 && atr > 0m)
{
var threshold = atr * MaStrengthThreshold;
if (crossUp && fast - slow > threshold)
{
BuyMarket(Quantity);
_entryPrice = candle.ClosePrice;
_entryAtr = atr;
}
else if (crossDown && slow - fast > threshold)
{
SellMarket(Quantity);
_entryPrice = candle.ClosePrice;
_entryAtr = atr;
}
}
_prevFast = fast;
_prevSlow = slow;
}
private void ResetPositionState()
{
_entryPrice = 0m;
_entryAtr = 0m;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import ExponentialMovingAverage, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class quantum_sentiment_flux_beginners_strategy(Strategy):
def __init__(self):
super(quantum_sentiment_flux_beginners_strategy, self).__init__()
self._fast_period = self.Param("FastEmaPeriod", 7).SetGreaterThanZero()
self._slow_period = self.Param("SlowEmaPeriod", 14).SetGreaterThanZero()
self._atr_period = self.Param("AtrPeriod", 14).SetGreaterThanZero()
self._atr_multiplier = self.Param("AtrMultiplier", 1.0).SetGreaterThanZero()
self._ma_strength_threshold = self.Param("MaStrengthThreshold", 0.18).SetNotNegative()
self._cooldown_bars = self.Param("CooldownBars", 5).SetNotNegative()
self._quantity = self.Param("Quantity", 1.0).SetGreaterThanZero()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1)))
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._entry_atr = 0.0
self._cooldown_remaining = 0
@property
def CandleType(self):
return self._candle_type.Value
def GetWorkingSecurities(self):
return [(self.Security, self.CandleType)]
def OnReseted(self):
super(quantum_sentiment_flux_beginners_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._entry_atr = 0.0
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(quantum_sentiment_flux_beginners_strategy, self).OnStarted2(time)
fast = ExponentialMovingAverage()
fast.Length = int(self._fast_period.Value)
slow = ExponentialMovingAverage()
slow.Length = int(self._slow_period.Value)
atr = AverageTrueRange()
atr.Length = int(self._atr_period.Value)
sub = self.SubscribeCandles(self.CandleType)
sub.Bind(fast, slow, atr, self._process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, sub)
self.DrawIndicator(area, fast)
self.DrawIndicator(area, slow)
self.DrawIndicator(area, atr)
self.DrawOwnTrades(area)
def _process(self, candle, fast_value, slow_value, atr_value):
if candle.State != CandleStates.Finished:
return
fast = float(fast_value)
slow = float(slow_value)
atr = float(atr_value)
if self._prev_fast == 0 or self._prev_slow == 0:
self._prev_fast = fast
self._prev_slow = slow
return
atr_multiplier = float(self._atr_multiplier.Value)
if self.Position > 0 and self._entry_price > 0 and self._entry_atr > 0:
distance = self._entry_atr * atr_multiplier
if float(candle.LowPrice) <= self._entry_price - distance or float(candle.HighPrice) >= self._entry_price + distance * 2:
self.SellMarket(Math.Abs(self.Position))
self._entry_price = 0.0
self._entry_atr = 0.0
self._cooldown_remaining = int(self._cooldown_bars.Value)
self._prev_fast = fast
self._prev_slow = slow
return
elif self.Position < 0 and self._entry_price > 0 and self._entry_atr > 0:
distance = self._entry_atr * atr_multiplier
if float(candle.HighPrice) >= self._entry_price + distance or float(candle.LowPrice) <= self._entry_price - distance * 2:
self.BuyMarket(Math.Abs(self.Position))
self._entry_price = 0.0
self._entry_atr = 0.0
self._cooldown_remaining = int(self._cooldown_bars.Value)
self._prev_fast = fast
self._prev_slow = slow
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
cross_up = self._prev_fast <= self._prev_slow and fast > slow
cross_down = self._prev_fast >= self._prev_slow and fast < slow
if self._cooldown_remaining == 0 and self.Position == 0 and atr > 0:
threshold = atr * float(self._ma_strength_threshold.Value)
qty = float(self._quantity.Value)
if cross_up and fast - slow > threshold:
self.BuyMarket(qty)
self._entry_price = float(candle.ClosePrice)
self._entry_atr = atr
elif cross_down and slow - fast > threshold:
self.SellMarket(qty)
self._entry_price = float(candle.ClosePrice)
self._entry_atr = atr
self._prev_fast = fast
self._prev_slow = slow
def CreateClone(self):
return quantum_sentiment_flux_beginners_strategy()