Стратегия Liquidity Swings
Стратегия Liquidity Swings использует недавние пивот-хай и пивот-лоу для определения зон сопротивления и поддержки. Лонг открывается, когда минимум пересекает поддержку снизу, а закрытие остаётся ниже сопротивления. Шорт открывается, когда максимум пересекает сопротивление сверху, а закрытие остаётся выше поддержки. Управление рисками строится на стоп‑лоссе от уровня с буфером и тейк‑профите вдвое больше этого расстояния (соотношение 1:2).
Подробности
- Условия входа:
- Лонг: минимум пересекает поддержку снизу и закрытие < сопротивления.
- Шорт: максимум пересекает сопротивление сверху и закрытие > поддержки.
- Направление: обе стороны.
- Условия выхода:
- Стоп‑лосс на уровне или с учётом буфера.
- Тейк‑профит на расстоянии 2× риска.
- Стопы: стоп‑лосс и тейк‑профит.
- Параметры по умолчанию:
Lookback= 5StopLossBuffer= 0.5
- Фильтры:
- Категория: Пробой
- Направление: Обе
- Индикаторы: Пивот‑хай/лоу
- Стопы: Да
- Сложность: Низкая
- Таймфрейм: 1ч (по умолчанию)
- Сезонность: Нет
- Нейросети: Нет
- Дивергенция: Нет
- Уровень риска: Средний
namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
/// <summary>
/// Liquidity Swings Strategy.
/// Uses recent pivot highs/lows as resistance/support levels.
/// Enters on bounce from support/resistance with risk-reward.
/// </summary>
public class LiquiditySwingsStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _lookback;
private readonly StrategyParam<int> _emaLength;
private readonly StrategyParam<int> _cooldownBars;
private ExponentialMovingAverage _ema;
private readonly List<decimal> _highBuffer = new();
private readonly List<decimal> _lowBuffer = new();
private decimal _resistance;
private decimal _support;
private decimal _entryPrice;
private int _cooldownRemaining;
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public int Lookback
{
get => _lookback.Value;
set => _lookback.Value = value;
}
public int EmaLength
{
get => _emaLength.Value;
set => _emaLength.Value = value;
}
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
public LiquiditySwingsStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_lookback = Param(nameof(Lookback), 5)
.SetGreaterThanZero()
.SetDisplay("Pivot Lookback", "Pivot detection lookback", "Parameters");
_emaLength = Param(nameof(EmaLength), 50)
.SetGreaterThanZero()
.SetDisplay("EMA Length", "EMA trend filter period", "Indicators");
_cooldownBars = Param(nameof(CooldownBars), 10)
.SetDisplay("Cooldown Bars", "Bars between trades", "Risk");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_ema = null;
_highBuffer.Clear();
_lowBuffer.Clear();
_resistance = 0;
_support = 0;
_entryPrice = 0;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_ema = new ExponentialMovingAverage { Length = EmaLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_ema, OnProcess)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _ema);
DrawOwnTrades(area);
}
}
private void OnProcess(ICandleMessage candle, decimal emaVal)
{
if (candle.State != CandleStates.Finished)
return;
if (!_ema.IsFormed)
return;
UpdatePivotLevels(candle);
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
return;
}
if (_resistance == 0 || _support == 0)
return;
var price = candle.ClosePrice;
// Buy: price near support, bounce up, trend filter (price > ema)
if (price > _support && price < (_support + (_resistance - _support) * 0.3m) && price > emaVal && Position <= 0)
{
if (Position < 0)
BuyMarket(Math.Abs(Position));
BuyMarket(Volume);
_entryPrice = price;
_cooldownRemaining = CooldownBars;
}
// Sell: price near resistance, drop, trend filter (price < ema)
else if (price < _resistance && price > (_resistance - (_resistance - _support) * 0.3m) && price < emaVal && Position >= 0)
{
if (Position > 0)
SellMarket(Math.Abs(Position));
SellMarket(Volume);
_entryPrice = price;
_cooldownRemaining = CooldownBars;
}
// Exit long at resistance
else if (Position > 0 && price >= _resistance)
{
SellMarket(Math.Abs(Position));
_entryPrice = 0;
_cooldownRemaining = CooldownBars;
}
// Exit short at support
else if (Position < 0 && price <= _support)
{
BuyMarket(Math.Abs(Position));
_entryPrice = 0;
_cooldownRemaining = CooldownBars;
}
// Stop loss long: price breaks below support
else if (Position > 0 && price < _support)
{
SellMarket(Math.Abs(Position));
_entryPrice = 0;
_cooldownRemaining = CooldownBars;
}
// Stop loss short: price breaks above resistance
else if (Position < 0 && price > _resistance)
{
BuyMarket(Math.Abs(Position));
_entryPrice = 0;
_cooldownRemaining = CooldownBars;
}
}
private void UpdatePivotLevels(ICandleMessage candle)
{
var size = Lookback * 2 + 1;
_highBuffer.Add(candle.HighPrice);
_lowBuffer.Add(candle.LowPrice);
if (_highBuffer.Count > size)
_highBuffer.RemoveAt(0);
if (_lowBuffer.Count > size)
_lowBuffer.RemoveAt(0);
if (_highBuffer.Count == size)
{
var center = Lookback;
var candidate = _highBuffer[center];
var isPivot = true;
for (var i = 0; i < size; i++)
{
if (i == center)
continue;
if (_highBuffer[i] >= candidate)
{
isPivot = false;
break;
}
}
if (isPivot)
_resistance = candidate;
}
if (_lowBuffer.Count == size)
{
var center = Lookback;
var candidate = _lowBuffer[center];
var isPivot = true;
for (var i = 0; i < size; i++)
{
if (i == center)
continue;
if (_lowBuffer[i] <= candidate)
{
isPivot = false;
break;
}
}
if (isPivot)
_support = candidate;
}
}
}
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
from StockSharp.Algo.Strategies import Strategy
class liquidity_swings_strategy(Strategy):
"""Liquidity Swings Strategy."""
def __init__(self):
super(liquidity_swings_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(30))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._lookback = self.Param("Lookback", 5) \
.SetDisplay("Pivot Lookback", "Pivot detection lookback", "Parameters")
self._ema_length = self.Param("EmaLength", 50) \
.SetDisplay("EMA Length", "EMA trend filter period", "Indicators")
self._cooldown_bars = self.Param("CooldownBars", 10) \
.SetDisplay("Cooldown Bars", "Bars between trades", "Risk")
self._ema = None
self._high_buffer = []
self._low_buffer = []
self._resistance = 0.0
self._support = 0.0
self._entry_price = 0.0
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(liquidity_swings_strategy, self).OnReseted()
self._ema = None
self._high_buffer = []
self._low_buffer = []
self._resistance = 0.0
self._support = 0.0
self._entry_price = 0.0
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(liquidity_swings_strategy, self).OnStarted2(time)
self._ema = ExponentialMovingAverage()
self._ema.Length = int(self._ema_length.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._ema, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._ema)
self.DrawOwnTrades(area)
def _on_process(self, candle, ema_val):
if candle.State != CandleStates.Finished:
return
if not self._ema.IsFormed:
return
self._update_pivot_levels(candle)
if not self.IsFormedAndOnlineAndAllowTrading():
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
return
if self._resistance == 0.0 or self._support == 0.0:
return
price = float(candle.ClosePrice)
ema_v = float(ema_val)
cooldown = int(self._cooldown_bars.Value)
rng = self._resistance - self._support
if price > self._support and price < (self._support + rng * 0.3) and price > ema_v and self.Position <= 0:
if self.Position < 0:
self.BuyMarket(Math.Abs(self.Position))
self.BuyMarket(self.Volume)
self._entry_price = price
self._cooldown_remaining = cooldown
elif price < self._resistance and price > (self._resistance - rng * 0.3) and price < ema_v and self.Position >= 0:
if self.Position > 0:
self.SellMarket(Math.Abs(self.Position))
self.SellMarket(self.Volume)
self._entry_price = price
self._cooldown_remaining = cooldown
elif self.Position > 0 and price >= self._resistance:
self.SellMarket(Math.Abs(self.Position))
self._entry_price = 0.0
self._cooldown_remaining = cooldown
elif self.Position < 0 and price <= self._support:
self.BuyMarket(Math.Abs(self.Position))
self._entry_price = 0.0
self._cooldown_remaining = cooldown
elif self.Position > 0 and price < self._support:
self.SellMarket(Math.Abs(self.Position))
self._entry_price = 0.0
self._cooldown_remaining = cooldown
elif self.Position < 0 and price > self._resistance:
self.BuyMarket(Math.Abs(self.Position))
self._entry_price = 0.0
self._cooldown_remaining = cooldown
def _update_pivot_levels(self, candle):
lookback = int(self._lookback.Value)
size = lookback * 2 + 1
self._high_buffer.append(float(candle.HighPrice))
self._low_buffer.append(float(candle.LowPrice))
if len(self._high_buffer) > size:
self._high_buffer.pop(0)
if len(self._low_buffer) > size:
self._low_buffer.pop(0)
if len(self._high_buffer) == size:
center = lookback
candidate = self._high_buffer[center]
is_pivot = True
for i in range(size):
if i == center:
continue
if self._high_buffer[i] >= candidate:
is_pivot = False
break
if is_pivot:
self._resistance = candidate
if len(self._low_buffer) == size:
center = lookback
candidate = self._low_buffer[center]
is_pivot = True
for i in range(size):
if i == center:
continue
if self._low_buffer[i] <= candidate:
is_pivot = False
break
if is_pivot:
self._support = candidate
def CreateClone(self):
return liquidity_swings_strategy()