Parabolic SAR with MACD Confirmation
This strategy combines the Parabolic SAR indicator with MACD confirmation. A position is opened when price crosses the SAR in a direction supported by MACD, aiming to capture trend reversals.
Details
- Entry Criteria: Price crosses SAR and MACD line is on the same side of its signal line.
- Long/Short: Both directions.
- Exit Criteria: Opposite crossover of price/SAR or MACD.
- Stops: No.
- Default Values:
SarStart= 0.02mSarIncrement= 0.02mSarMax= 0.2mMacdFast= 12MacdSlow= 26MacdSignal= 9CandleType= TimeSpan.FromMinutes(5)
- Filters:
- Category: Trend
- Direction: Both
- Indicators: Parabolic SAR, MACD
- Stops: No
- Complexity: Intermediate
- Timeframe: Intraday
- Seasonality: No
- Neural Networks: No
- Divergence: No
- Risk Level: Medium
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// EMA crossover with MACD confirmation.
/// </summary>
public class ParabolicSarMacdTrendZoneStrategy : Strategy
{
private readonly StrategyParam<int> _fastLength;
private readonly StrategyParam<int> _slowLength;
private readonly StrategyParam<DataType> _candleType;
public int FastLength { get => _fastLength.Value; set => _fastLength.Value = value; }
public int SlowLength { get => _slowLength.Value; set => _slowLength.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public ParabolicSarMacdTrendZoneStrategy()
{
_fastLength = Param(nameof(FastLength), 14).SetGreaterThanZero();
_slowLength = Param(nameof(SlowLength), 40).SetGreaterThanZero();
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame());
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fast = new ExponentialMovingAverage { Length = FastLength };
var slow = new ExponentialMovingAverage { Length = SlowLength };
var macd = new MovingAverageConvergenceDivergenceSignal();
var prevF = 0m;
var prevS = 0m;
var init = false;
var lastSignal = DateTimeOffset.MinValue;
var cooldown = TimeSpan.FromMinutes(360);
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(fast, slow, macd, (candle, fv, sv, macdVal) =>
{
if (candle.State != CandleStates.Finished)
return;
if (!fv.IsFormed || !sv.IsFormed || !macdVal.IsFormed)
return;
var f = fv.ToDecimal();
var s = sv.ToDecimal();
var macdTyped = (MovingAverageConvergenceDivergenceSignalValue)macdVal;
var macdLine = macdTyped.Macd;
var signalLine = macdTyped.Signal;
if (!init)
{
prevF = f;
prevS = s;
init = true;
return;
}
if (candle.OpenTime - lastSignal >= cooldown)
{
if (prevF <= prevS && f > s && macdLine > signalLine && Position <= 0)
{
BuyMarket();
lastSignal = candle.OpenTime;
}
else if (prevF >= prevS && f < s && macdLine < signalLine && Position >= 0)
{
SellMarket();
lastSignal = candle.OpenTime;
}
}
prevF = f;
prevS = s;
})
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fast);
DrawIndicator(area, slow);
DrawOwnTrades(area);
}
}
}
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 ExponentialMovingAverage, MovingAverageConvergenceDivergenceSignal
from StockSharp.Algo.Strategies import Strategy
class parabolic_sar_macd_trend_zone_strategy(Strategy):
def __init__(self):
super(parabolic_sar_macd_trend_zone_strategy, self).__init__()
self._fast_length = self.Param("FastLength", 14) \
.SetGreaterThanZero()
self._slow_length = self.Param("SlowLength", 40) \
.SetGreaterThanZero()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5)))
self._prev_fast = 0.0
self._prev_slow = 0.0
self._initialized = False
self._last_signal_ticks = 0
@property
def candle_type(self):
return self._candle_type.Value
@candle_type.setter
def candle_type(self, value):
self._candle_type.Value = value
def OnReseted(self):
super(parabolic_sar_macd_trend_zone_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._initialized = False
self._last_signal_ticks = 0
def OnStarted2(self, time):
super(parabolic_sar_macd_trend_zone_strategy, self).OnStarted2(time)
self._prev_fast = 0.0
self._prev_slow = 0.0
self._initialized = False
self._last_signal_ticks = 0
self._fast = ExponentialMovingAverage()
self._fast.Length = self._fast_length.Value
self._slow = ExponentialMovingAverage()
self._slow.Length = self._slow_length.Value
self._macd = MovingAverageConvergenceDivergenceSignal()
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(self._fast, self._slow, self._macd, self.OnProcess).Start()
def OnProcess(self, candle, f_val, s_val, macd_val):
if candle.State != CandleStates.Finished:
return
if not f_val.IsFormed or not s_val.IsFormed or not macd_val.IsFormed:
return
fv = float(f_val)
sv = float(s_val)
macd_line = macd_val.Macd
signal_line = macd_val.Signal
if macd_line is None or signal_line is None:
return
ml = float(macd_line)
sl = float(signal_line)
if not self._initialized:
self._prev_fast = fv
self._prev_slow = sv
self._initialized = True
return
cooldown_ticks = TimeSpan.FromMinutes(360).Ticks
current_ticks = candle.OpenTime.Ticks
if current_ticks - self._last_signal_ticks >= cooldown_ticks:
if self._prev_fast <= self._prev_slow and fv > sv and ml > sl and self.Position <= 0:
self.BuyMarket()
self._last_signal_ticks = current_ticks
elif self._prev_fast >= self._prev_slow and fv < sv and ml < sl and self.Position >= 0:
self.SellMarket()
self._last_signal_ticks = current_ticks
self._prev_fast = fv
self._prev_slow = sv
def CreateClone(self):
return parabolic_sar_macd_trend_zone_strategy()