Наклон VWMA
Стратегия Наклон VWMA анализирует направление объёмно-взвешенной скользящей средней (VWMA). Длинная позиция открывается, когда VWMA растёт два бара подряд, короткая — когда индикатор падает два бара. При смене наклона текущие позиции закрываются.
Метод пытается следовать зарождающимся трендам, учитывая объём при расчёте средней цены и отсекая движения на низком объёме.
Подробности
- Условия входа: VWMA растёт два бара (лонг) или падает два бара (шорт).
- Лонг/шорт: Оба направления.
- Условия выхода: Противоположный наклон VWMA.
- Стопы: Да (по умолчанию стоп 1% и тейк-профит 2%).
- Параметры по умолчанию:
VwmaPeriod= 12CandleType= TimeSpan.FromHours(4)
- Фильтры:
- Категория: Trend
- Направление: Both
- Индикаторы: VWMA
- Стопы: Yes
- Сложность: Basic
- Таймфрейм: Swing
- Сезонность: No
- Нейросети: No
- Дивергенция: No
- Уровень риска: Medium
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>
/// Volume Weighted Moving Average slope strategy.
/// Goes long when VWMA turns up (valley), short when VWMA turns down (peak).
/// </summary>
public class VolumeWeightedMaSlopeStrategy : Strategy
{
private readonly StrategyParam<int> _vwmaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal? _prevVwma1;
private decimal? _prevVwma2;
public int VwmaPeriod { get => _vwmaPeriod.Value; set => _vwmaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public VolumeWeightedMaSlopeStrategy()
{
_vwmaPeriod = Param(nameof(VwmaPeriod), 12)
.SetGreaterThanZero()
.SetDisplay("VWMA Period", "Period of the Volume Weighted Moving Average", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevVwma1 = null;
_prevVwma2 = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevVwma1 = null;
_prevVwma2 = null;
var vwma = new VolumeWeightedMovingAverage { Length = VwmaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(vwma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, vwma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal currentVwma)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_prevVwma1 is null)
{
_prevVwma1 = currentVwma;
return;
}
if (_prevVwma2 is null)
{
_prevVwma2 = _prevVwma1;
_prevVwma1 = currentVwma;
return;
}
// Valley: was falling, now rising -> buy
if (_prevVwma2 > _prevVwma1 && currentVwma > _prevVwma1 && Position <= 0)
BuyMarket();
// Peak: was rising, now falling -> sell
else if (_prevVwma2 < _prevVwma1 && currentVwma < _prevVwma1 && Position >= 0)
SellMarket();
_prevVwma2 = _prevVwma1;
_prevVwma1 = currentVwma;
}
}
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 VolumeWeightedMovingAverage
from StockSharp.Algo.Strategies import Strategy
class volume_weighted_ma_slope_strategy(Strategy):
def __init__(self):
super(volume_weighted_ma_slope_strategy, self).__init__()
self._vwma_period = self.Param("VwmaPeriod", 12) \
.SetDisplay("VWMA Period", "Period of the Volume Weighted Moving Average", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_vwma1 = None
self._prev_vwma2 = None
@property
def vwma_period(self):
return self._vwma_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(volume_weighted_ma_slope_strategy, self).OnReseted()
self._prev_vwma1 = None
self._prev_vwma2 = None
def OnStarted2(self, time):
super(volume_weighted_ma_slope_strategy, self).OnStarted2(time)
self._prev_vwma1 = None
self._prev_vwma2 = None
vwma = VolumeWeightedMovingAverage()
vwma.Length = self.vwma_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(vwma, self.process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, vwma)
self.DrawOwnTrades(area)
def process_candle(self, candle, current_vwma):
if candle.State != CandleStates.Finished:
return
current_vwma = float(current_vwma)
if self._prev_vwma1 is None:
self._prev_vwma1 = current_vwma
return
if self._prev_vwma2 is None:
self._prev_vwma2 = self._prev_vwma1
self._prev_vwma1 = current_vwma
return
if self._prev_vwma2 > self._prev_vwma1 and current_vwma > self._prev_vwma1 and self.Position <= 0:
self.BuyMarket()
elif self._prev_vwma2 < self._prev_vwma1 and current_vwma < self._prev_vwma1 and self.Position >= 0:
self.SellMarket()
self._prev_vwma2 = self._prev_vwma1
self._prev_vwma1 = current_vwma
def CreateClone(self):
return volume_weighted_ma_slope_strategy()