Estrategia de Compra por Ruptura de Precio y Volumen
La estrategia entra cuando precio y volumen rompen simultáneamente por encima de sus respectivos máximos del período de lookback mientras el precio se mantiene sobre la SMA de tendencia. Las operaciones cortas se activan cuando el precio cae por debajo del mínimo del lookback bajo la misma condición de volumen y filtro SMA. Las posiciones se cierran tras cinco cierres consecutivos en el lado opuesto de la SMA.
Detalles
- Criterios de entrada:
- Largo: Close > máximo más alto anterior && Volume > volumen más alto anterior && Close > SMA
- Corto: Close < mínimo más bajo anterior && Volume > volumen más alto anterior && Close < SMA
- Largo/Corto: Configurable
- Criterios de salida:
- Tendencia: Cinco cierres más allá de la SMA
- Stops: No
- Valores predeterminados:
PriceBreakoutPeriod= 60VolumeBreakoutPeriod= 60TrendlineLength= 200OrderDirection= "Long"CandleType= TimeSpan.FromDays(1)
- Filtros:
- Categoría: Ruptura
- Dirección: Configurable
- Indicadores: Highest, SMA, Volume
- Stops: No
- Complejidad: Básico
- Marco temporal: Cualquiera
- Estacionalidad: No
- Redes neuronales: No
- Divergencia: No
- Nivel de riesgo: Medio
Los extremos de precio y volumen se calculan solo con velas anteriores cerradas (se excluye la vela de señal). OrderDirection admite Long, Short o Both; el valor predeterminado es Long. Un cierre en la SMA o de vuelta al lado de la posición reinicia el contador de cinco cierres consecutivos.
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()