Parabolic Sar Volume 戦略
Parabolic SARと出来高確認を組み合わせた戦略。価格が平均以上の出来高でParabolic SARをクロスしたときにトレードをエントリーする。
テストでは年平均リターン約151%を示しています。株式市場で最もパフォーマンスが高くなります。
Parabolic SARがトレンド転換を特定し、より高い出来高がシグナルを検証します。SARの転換が出来高の拡大とともに来たときにトレードが開始されます。
出来高ベースの動きを追うトレーダーに有用です。SARトレイルが大きな損失から守ります。
詳細
- エントリー条件:
- ロング:
Close > SAR && Volume > AvgVolume - ショート:
Close < SAR && Volume > AvgVolume
- ロング:
- ロング/ショート: 両方
- エグジット条件: SARの転換
- ストップ: Parabolic SARをトレーリングストップとして使用
- デフォルト値:
Acceleration= 0.02mMaxAcceleration= 0.2mVolumePeriod= 20CandleType= TimeSpan.FromMinutes(5).TimeFrame() AvgVolumeは直前VolumePeriod本の平均出来高です。ロングはSARが価格の上に反転したとき、ショートは下に反転したときに決済します。 保有ポジションと逆方向のエントリーシグナルはドテンになります。
- フィルター:
- カテゴリ: ブレイクアウト
- 方向: 両方
- インジケーター: Parabolic SAR, Parabolic SAR, 出来高
- ストップ: はい
- 複雑さ: 中級
- 時間軸: 中期
- 季節性: いいえ
- ニューラルネットワーク: いいえ
- ダイバージェンス: いいえ
- リスクレベル: 中
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>
/// Parabolic SAR Volume strategy.
/// A close above the Parabolic SAR on volume above the average of the previous VolumePeriod candles goes long and a close below it on such
/// volume goes short, reversing an opposite position. The SAR is the trailing stop: a long closes when the SAR flips above price and a short
/// when it flips below.
/// </summary>
public class ParabolicSarVolumeStrategy : Strategy
{
private readonly StrategyParam<decimal> _acceleration;
private readonly StrategyParam<decimal> _maxAcceleration;
private readonly StrategyParam<int> _volumePeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly List<decimal> _volumes = [];
/// <summary>
/// Initial acceleration factor of the SAR.
/// </summary>
public decimal Acceleration
{
get => _acceleration.Value;
set => _acceleration.Value = value;
}
/// <summary>
/// Maximum acceleration factor of the SAR.
/// </summary>
public decimal MaxAcceleration
{
get => _maxAcceleration.Value;
set => _maxAcceleration.Value = value;
}
/// <summary>
/// Previous candles the volume is averaged over.
/// </summary>
public int VolumePeriod
{
get => _volumePeriod.Value;
set => _volumePeriod.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public ParabolicSarVolumeStrategy()
{
_acceleration = Param(nameof(Acceleration), 0.02m)
.SetGreaterThanZero()
.SetDisplay("SAR Acceleration", "Initial acceleration factor of the SAR", "SAR");
_maxAcceleration = Param(nameof(MaxAcceleration), 0.2m)
.SetGreaterThanZero()
.SetDisplay("SAR Max Acceleration", "Maximum acceleration factor of the SAR", "SAR");
_volumePeriod = Param(nameof(VolumePeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Volume Period", "Previous candles the volume is averaged over", "Volume");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).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();
_volumes.Clear();
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_volumes.Clear();
var sar = new ParabolicSar
{
Acceleration = Acceleration,
AccelerationMax = MaxAcceleration,
};
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(sar, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, sar);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue sarValue)
{
if (candle.State != CandleStates.Finished)
return;
// Volume is compared with the candles before this one.
var average = _volumes.Count == VolumePeriod ? _volumes.Average() : (decimal?)null;
_volumes.Add(candle.TotalVolume);
if (_volumes.Count > VolumePeriod)
_volumes.RemoveAt(0);
// The first SAR value is formed but empty.
if (!sarValue.IsFormed || sarValue.IsEmpty || average is not decimal avgVolume)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var sar = sarValue.GetValue<decimal>();
var close = candle.ClosePrice;
var surge = candle.TotalVolume > avgVolume;
if (close > sar && surge && Position <= 0)
BuyMarket(Volume + Math.Abs(Position));
else if (close < sar && surge && Position >= 0)
SellMarket(Volume + Math.Abs(Position));
else if (Position > 0 && close < sar)
SellMarket(Position);
else if (Position < 0 && close > sar)
BuyMarket(-Position);
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Decimal
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import ParabolicSar
from StockSharp.Algo.Strategies import Strategy
class parabolic_sar_volume_strategy(Strategy):
"""
Parabolic SAR Volume strategy.
A close above the Parabolic SAR on volume above the average of the previous VolumePeriod candles goes long and a close below it on such
volume goes short, reversing an opposite position. The SAR is the trailing stop: a long closes when the SAR flips above price and a short
when it flips below.
"""
def __init__(self):
super(parabolic_sar_volume_strategy, self).__init__()
self._acceleration = self.Param("Acceleration", 0.02).SetGreaterThanZero().SetDisplay("SAR Acceleration", "Initial acceleration factor of the SAR", "SAR")
self._max_acceleration = self.Param("MaxAcceleration", 0.2).SetGreaterThanZero().SetDisplay("SAR Max Acceleration", "Maximum acceleration factor of the SAR", "SAR")
self._volume_period = self.Param("VolumePeriod", 20).SetGreaterThanZero().SetDisplay("Volume Period", "Previous candles the volume is averaged over", "Volume")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._reset_state()
@property
def candle_type(self):
return self._candle_type.Value
def _reset_state(self):
self._volumes = []
def OnReseted(self):
super(parabolic_sar_volume_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(parabolic_sar_volume_strategy, self).OnStarted2(time)
self._reset_state()
sar = ParabolicSar()
sar.Acceleration = Decimal(self._acceleration.Value)
sar.AccelerationMax = Decimal(self._max_acceleration.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(sar, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, sar)
self.DrawOwnTrades(area)
def _process_candle(self, candle, sar_value):
if candle.State != CandleStates.Finished:
return
# Volume is compared with the candles before this one.
period = self._volume_period.Value
average = None
if len(self._volumes) == period:
total = Decimal(0)
for volume in self._volumes:
total += volume
average = total / Decimal(period)
self._volumes.append(candle.TotalVolume)
if len(self._volumes) > period:
self._volumes.pop(0)
# The first SAR value is formed but empty.
if not sar_value.IsFormed or sar_value.IsEmpty or average is None:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
sar = sar_value.GetValue[Decimal](None)
close = candle.ClosePrice
surge = candle.TotalVolume > average
if close > sar and surge and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
elif close < sar and surge and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
elif self.Position > 0 and close < sar:
self.SellMarket(self.Position)
elif self.Position < 0 and close > sar:
self.BuyMarket(-self.Position)
def CreateClone(self):
return parabolic_sar_volume_strategy()