Parabolic SARトレンド
Parabolic SARインジケーターに基づく戦略。Parabolic SARトレンドはParabolic SARインジケーターのドットに従います。価格がSARの一方の側からもう一方へ転換することが、潜在的なトレンド変化を示します。価格が戻ってきた場合、取引は終了されます。
テスト結果では、年間平均リターンが約49%であることが示されています。暗号資産市場で最も効果を発揮します。
SARドットが価格に追従するため、トレンドが転換した時に自然と出口ポイントが提供されます。この手法はSARの反転以外に追加のストップを使用せずに、ロングとショートの両方を取引します。
詳細
- エントリー条件: Parabolic、SARに基づくシグナル。
- ロング/ショート: 両方の方向。
- エグジット条件: 逆シグナル。
- ストップ: いいえ。
- デフォルト値:
AccelerationFactor= 0.02mMaxAccelerationFactor= 0.2mCandleType= TimeSpan.FromMinutes(5)
- フィルター:
- カテゴリ: トレンド
- 方向: 両方
- インジケーター: Parabolic, SAR
- ストップ: いいえ
- 複雑さ: 基本
- 時間軸: イントラデイ (5m)
- 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.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Strategy based on Parabolic SAR indicator.
/// It enters long position when price is above SAR and short position when price is below SAR.
/// </summary>
public class ParabolicSarTrendStrategy : Strategy
{
private readonly StrategyParam<decimal> _accelerationFactor;
private readonly StrategyParam<decimal> _maxAccelerationFactor;
private readonly StrategyParam<DataType> _candleType;
// Current state
private decimal _prevSarValue;
private bool _prevIsPriceAboveSar;
/// <summary>
/// Initial acceleration factor for SAR.
/// </summary>
public decimal AccelerationFactor
{
get => _accelerationFactor.Value;
set => _accelerationFactor.Value = value;
}
/// <summary>
/// Maximum acceleration factor for SAR.
/// </summary>
public decimal MaxAccelerationFactor
{
get => _maxAccelerationFactor.Value;
set => _maxAccelerationFactor.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initialize the Parabolic SAR Trend strategy.
/// </summary>
public ParabolicSarTrendStrategy()
{
_accelerationFactor = Param(nameof(AccelerationFactor), 0.003m)
.SetDisplay("Acceleration Factor", "Initial acceleration factor for SAR calculation", "Indicators")
.SetOptimize(0.01m, 0.05m, 0.01m);
_maxAccelerationFactor = Param(nameof(MaxAccelerationFactor), 0.03m)
.SetDisplay("Max Acceleration Factor", "Maximum acceleration factor for SAR calculation", "Indicators")
.SetOptimize(0.1m, 0.5m, 0.1m);
_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();
_prevSarValue = 0;
_prevIsPriceAboveSar = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
// Create Parabolic SAR indicator
var parabolicSar = new ParabolicSar
{
Acceleration = AccelerationFactor,
AccelerationMax = MaxAccelerationFactor
};
// Create subscription and bind indicator
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(parabolicSar, ProcessCandle)
.Start();
// Setup chart visualization if available
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, parabolicSar);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal sarValue)
{
// Skip unfinished candles
if (candle.State != CandleStates.Finished)
return;
// Check if strategy is ready to trade
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (sarValue <= 0)
return;
// Check the price position relative to SAR
var isPriceAboveSar = candle.ClosePrice > sarValue;
// Detect signal - crossing of price and SAR
var isEntrySignal = _prevSarValue > 0 && isPriceAboveSar != _prevIsPriceAboveSar;
if (isEntrySignal)
{
var volume = Volume + Math.Abs(Position);
// Long entry - price crosses above SAR
if (isPriceAboveSar && Position <= 0)
{
BuyMarket(volume);
LogInfo($"Buy signal: Price {candle.ClosePrice} crossed above SAR {sarValue}");
}
// Short entry - price crosses below SAR
else if (!isPriceAboveSar && Position >= 0)
{
SellMarket(volume);
LogInfo($"Sell signal: Price {candle.ClosePrice} crossed below SAR {sarValue}");
}
}
// Update previous values
_prevSarValue = sarValue;
_prevIsPriceAboveSar = isPriceAboveSar;
}
}
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 ParabolicSar
from StockSharp.Algo.Strategies import Strategy
class parabolic_sar_trend_strategy(Strategy):
"""
Strategy based on Parabolic SAR indicator.
Enters long when price crosses above SAR, short when price crosses below SAR.
"""
def __init__(self):
super(parabolic_sar_trend_strategy, self).__init__()
self._acceleration_factor = self.Param("AccelerationFactor", 0.003).SetDisplay("Acceleration Factor", "Initial acceleration factor for SAR calculation", "Indicators")
self._max_acceleration_factor = self.Param("MaxAccelerationFactor", 0.03).SetDisplay("Max Acceleration Factor", "Maximum acceleration factor for SAR calculation", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_sar_value = 0.0
self._prev_is_price_above_sar = False
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(parabolic_sar_trend_strategy, self).OnReseted()
self._prev_sar_value = 0.0
self._prev_is_price_above_sar = False
def OnStarted2(self, time):
super(parabolic_sar_trend_strategy, self).OnStarted2(time)
sar = ParabolicSar()
sar.Acceleration = self._acceleration_factor.Value
sar.AccelerationMax = self._max_acceleration_factor.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(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_val):
if candle.State != CandleStates.Finished:
return
sv = float(sar_val)
if sv <= 0:
return
is_price_above_sar = float(candle.ClosePrice) > sv
is_entry_signal = self._prev_sar_value > 0 and is_price_above_sar != self._prev_is_price_above_sar
if is_entry_signal:
vol = self.Volume + abs(self.Position)
if is_price_above_sar and self.Position <= 0:
self.BuyMarket(vol)
elif not is_price_above_sar and self.Position >= 0:
self.SellMarket(vol)
self._prev_sar_value = sv
self._prev_is_price_above_sar = is_price_above_sar
def CreateClone(self):
return parabolic_sar_trend_strategy()