Стратегия пробоя цены и объёма
Стратегия входит в позицию, когда цена и объём одновременно пробивают свои максимумы за период, при этом цена находится выше скользящей средней. Короткие позиции открываются при пробое минимума на повышенном объёме и цене ниже SMA. Выход из позиции осуществляется после пяти последовательных закрытий по другую сторону SMA.
Подробности
- Условия входа:
- Long: закрытие > предыдущего максимума && объём > предыдущего максимального объёма && закрытие > SMA
- Short: закрытие < предыдущего минимума && объём > предыдущего максимального объёма && закрытие < SMA
- Направление: настраиваемое
- Условия выхода:
- Тренд: пять закрытий по другую сторону SMA
- Стопы: нет
- Значения по умолчанию:
PriceBreakoutPeriod= 60VolumeBreakoutPeriod= 60TrendlineLength= 200OrderDirection= "Long"CandleType= TimeSpan.FromDays(1)
- Фильтры:
- Категория: Пробой
- Направление: Настраиваемое
- Индикаторы: Highest, SMA, Volume
- Стопы: Нет
- Сложность: Базовая
- Таймфрейм: Любой
- Сезонность: Нет
- Нейросети: Нет
- Дивергенция: Нет
- Уровень риска: Средний
Экстремумы цены и объёма рассчитываются только по предыдущим завершённым свечам (сигнальная свеча исключена). OrderDirection принимает Long, Short или Both; по умолчанию Long. Закрытие на SMA или возврат на сторону открытой позиции сбрасывает счётчик пяти последовательных закрытий.
using System;
using System.Collections.Generic;
using System.Linq;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Trades breakouts of the previous price and volume ranges in the direction of the trend SMA.
/// </summary>
public class PriceAndVolumeBreakoutBuyStrategy : Strategy
{
private readonly StrategyParam<int> _priceBreakoutPeriod;
private readonly StrategyParam<int> _volumeBreakoutPeriod;
private readonly StrategyParam<int> _trendlineLength;
private readonly StrategyParam<string> _orderDirection;
private readonly StrategyParam<DataType> _candleType;
private readonly Queue<(decimal high, decimal low, decimal volume)> _previousBars = new();
private int _oppositeCloses;
private bool _entryRequested;
private bool _exitRequested;
public int PriceBreakoutPeriod { get => _priceBreakoutPeriod.Value; set => _priceBreakoutPeriod.Value = value; }
public int VolumeBreakoutPeriod { get => _volumeBreakoutPeriod.Value; set => _volumeBreakoutPeriod.Value = value; }
public int TrendlineLength { get => _trendlineLength.Value; set => _trendlineLength.Value = value; }
public string OrderDirection { get => _orderDirection.Value; set => _orderDirection.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public PriceAndVolumeBreakoutBuyStrategy()
{
_priceBreakoutPeriod = Param(nameof(PriceBreakoutPeriod), 60)
.SetGreaterThanZero()
.SetDisplay("Price Breakout Period", "Number of preceding candles used for the price extreme.", "Breakout");
_volumeBreakoutPeriod = Param(nameof(VolumeBreakoutPeriod), 60)
.SetGreaterThanZero()
.SetDisplay("Volume Breakout Period", "Number of preceding candles used for maximum volume.", "Breakout");
_trendlineLength = Param(nameof(TrendlineLength), 200)
.SetGreaterThanZero()
.SetDisplay("Trendline Length", "Trend SMA period.", "Trend");
_orderDirection = Param(nameof(OrderDirection), "Long")
.SetDisplay("Order Direction", "Long, Short, or Both.", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromDays(1).TimeFrame())
.SetDisplay("Candle Type", "Candle type.", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_previousBars.Clear();
_oppositeCloses = 0;
_entryRequested = false;
_exitRequested = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
if (OrderDirection is not ("Long" or "Short" or "Both"))
throw new ArgumentOutOfRangeException(nameof(OrderDirection), OrderDirection, "Supported values are Long, Short and Both.");
var trend = new SimpleMovingAverage { Length = TrendlineLength };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(trend, (candle, average) => ProcessCandle(candle, average, trend)).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, trend);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal average, SimpleMovingAverage trend)
{
if (candle.State != CandleStates.Finished)
return;
// The current bar must never contribute to its own lookback extrema.
if (trend.IsFormed && _previousBars.Count >= Math.Max(PriceBreakoutPeriod, VolumeBreakoutPeriod))
{
if (Position != 0m)
{
_entryRequested = false;
if (!_exitRequested)
{
var opposite = Position > 0m ? candle.ClosePrice < average : candle.ClosePrice > average;
_oppositeCloses = opposite ? _oppositeCloses + 1 : 0;
if (_oppositeCloses == 5)
{
_exitRequested = true;
_oppositeCloses = 0;
if (Position > 0m)
SellMarket(Position);
else
BuyMarket(Math.Abs(Position));
}
}
}
else
{
_exitRequested = false;
_oppositeCloses = 0;
if (!_entryRequested)
{
var priceBars = _previousBars.TakeLast(PriceBreakoutPeriod).ToArray();
var maximumVolume = _previousBars.TakeLast(VolumeBreakoutPeriod).Max(x => x.volume);
var longSignal = candle.ClosePrice > priceBars.Max(x => x.high)
&& candle.TotalVolume > maximumVolume && candle.ClosePrice > average;
var shortSignal = candle.ClosePrice < priceBars.Min(x => x.low)
&& candle.TotalVolume > maximumVolume && candle.ClosePrice < average;
if (longSignal && (OrderDirection is "Long" or "Both"))
{
_entryRequested = true;
BuyMarket(Volume);
}
else if (shortSignal && (OrderDirection is "Short" or "Both"))
{
_entryRequested = true;
SellMarket(Volume);
}
}
}
}
_previousBars.Enqueue((candle.HighPrice, candle.LowPrice, candle.TotalVolume));
while (_previousBars.Count > Math.Max(PriceBreakoutPeriod, VolumeBreakoutPeriod))
_previousBars.Dequeue();
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import Math, TimeSpan
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class price_and_volume_breakout_buy_strategy(Strategy):
def __init__(self):
super(price_and_volume_breakout_buy_strategy, self).__init__()
self._price_breakout_period = self.Param("PriceBreakoutPeriod", 60) \
.SetGreaterThanZero() \
.SetDisplay("Price Breakout Period", "Number of preceding candles used for the price extreme.", "Breakout")
self._volume_breakout_period = self.Param("VolumeBreakoutPeriod", 60) \
.SetGreaterThanZero() \
.SetDisplay("Volume Breakout Period", "Number of preceding candles used for maximum volume.", "Breakout")
self._trendline_length = self.Param("TrendlineLength", 200) \
.SetGreaterThanZero() \
.SetDisplay("Trendline Length", "Trend SMA period.", "Trend")
self._order_direction = self.Param("OrderDirection", "Long") \
.SetDisplay("Order Direction", "Long, Short, or Both.", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromDays(1))) \
.SetDisplay("Candle Type", "Candle type.", "General")
self._previous_bars = []
self._opposite_closes = 0
self._entry_requested = False
self._exit_requested = False
def GetWorkingSecurities(self):
return [(self.Security, self._candle_type.Value)]
def OnReseted(self):
super(price_and_volume_breakout_buy_strategy, self).OnReseted()
self._previous_bars = []
self._opposite_closes = 0
self._entry_requested = False
self._exit_requested = False
def OnStarted2(self, time):
super(price_and_volume_breakout_buy_strategy, self).OnStarted2(time)
if self._order_direction.Value not in ("Long", "Short", "Both"):
raise ValueError("OrderDirection must be Long, Short, or Both")
self._trend = SimpleMovingAverage()
self._trend.Length = int(self._trendline_length.Value)
subscription = self.SubscribeCandles(self._candle_type.Value)
subscription.Bind(self._trend, self.on_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._trend)
self.DrawOwnTrades(area)
def on_candle(self, candle, average):
if candle.State != CandleStates.Finished:
return
price_period = int(self._price_breakout_period.Value)
volume_period = int(self._volume_breakout_period.Value)
window = max(price_period, volume_period)
# Evaluate using previous bricks/bars only, before adding the current one.
if self._trend.IsFormed and len(self._previous_bars) >= window:
close = float(candle.ClosePrice)
sma = float(average)
position = self.Position
if position != 0:
self._entry_requested = False
if not self._exit_requested:
opposite = close < sma if position > 0 else close > sma
self._opposite_closes = self._opposite_closes + 1 if opposite else 0
if self._opposite_closes == 5:
self._exit_requested = True
self._opposite_closes = 0
if position > 0:
self.SellMarket(position)
else:
self.BuyMarket(Math.Abs(position))
else:
self._exit_requested = False
self._opposite_closes = 0
if not self._entry_requested:
previous_price_bars = self._previous_bars[-price_period:]
previous_volume_bars = self._previous_bars[-volume_period:]
max_volume = max(bar[2] for bar in previous_volume_bars)
volume = float(candle.TotalVolume)
long_signal = (close > max(bar[0] for bar in previous_price_bars)
and volume > max_volume and close > sma)
short_signal = (close < min(bar[1] for bar in previous_price_bars)
and volume > max_volume and close < sma)
direction = self._order_direction.Value
if long_signal and direction in ("Long", "Both"):
self._entry_requested = True
self.BuyMarket(self.Volume)
elif short_signal and direction in ("Short", "Both"):
self._entry_requested = True
self.SellMarket(self.Volume)
self._previous_bars.append((float(candle.HighPrice),
float(candle.LowPrice),
float(candle.TotalVolume)))
if len(self._previous_bars) > window:
self._previous_bars.pop(0)
def CreateClone(self):
return price_and_volume_breakout_buy_strategy()