Parabolic SAR Early Buy MA Exit策略
该策略利用Parabolic SAR的反转信号进行交易,当SAR翻到价格上方且收盘价低于MaPeriod期的移动平均线时,提前平掉多头头寸。
细节
- 入场条件:
- 价格与Parabolic SAR发生交叉。
- 方向:多头和空头。
- 出场条件:
- 多头:SAR高于价格且收盘价低于MA (
MaPeriod)。 - 空头:相反的SAR交叉(由入场逻辑处理)。
- 多头:SAR高于价格且收盘价低于MA (
- 止损:无。
- 默认参数:
SarStart= 0.02SarIncrement= 0.02SarMax= 0.2MaPeriod= 11
- 过滤器:
- 类型:趋势跟随
- 方向:多空
- 指标:Parabolic SAR, SMA
- 止损:无
- 复杂度:低
- 时间框架:任意
- 季节性:否
- 神经网络:否
- 背离:否
- 风险等级:低
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// EMA crossover strategy with MA exit filter.
/// </summary>
public class ParabolicSarEarlyBuyMaExitStrategy : Strategy
{
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<DataType> _candleType;
public int MaPeriod { get => _maPeriod.Value; set => _maPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public ParabolicSarEarlyBuyMaExitStrategy()
{
_maPeriod = Param(nameof(MaPeriod), 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 = 14 };
var slow = new ExponentialMovingAverage { Length = MaPeriod };
var rsi = new RelativeStrengthIndex { Length = 14 };
var prevF = 0m;
var prevS = 0m;
var init = false;
var lastSignal = DateTimeOffset.MinValue;
var cooldown = TimeSpan.FromMinutes(360);
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fast, slow, rsi, (candle, f, s, r) =>
{
if (candle.State != CandleStates.Finished)
return;
if (!fast.IsFormed || !slow.IsFormed || !rsi.IsFormed)
return;
if (!init)
{
prevF = f;
prevS = s;
init = true;
return;
}
if (candle.OpenTime - lastSignal >= cooldown)
{
if (prevF <= prevS && f > s && r > 50 && Position <= 0)
{
BuyMarket();
lastSignal = candle.OpenTime;
}
else if (prevF >= prevS && f < s && r < 50 && 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, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class parabolic_sar_early_buy_ma_exit_strategy(Strategy):
def __init__(self):
super(parabolic_sar_early_buy_ma_exit_strategy, self).__init__()
self._ma_period = self.Param("MaPeriod", 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_early_buy_ma_exit_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_early_buy_ma_exit_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 = 14
self._slow = ExponentialMovingAverage()
self._slow.Length = self._ma_period.Value
self._rsi = RelativeStrengthIndex()
self._rsi.Length = 14
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._fast, self._slow, self._rsi, self.OnProcess).Start()
def OnProcess(self, candle, f, s, r):
if candle.State != CandleStates.Finished:
return
if not self._fast.IsFormed or not self._slow.IsFormed or not self._rsi.IsFormed:
return
fv = float(f)
sv = float(s)
rv = float(r)
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 rv > 50 and self.Position <= 0:
self.BuyMarket()
self._last_signal_ticks = current_ticks
elif self._prev_fast >= self._prev_slow and fv < sv and rv < 50 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_early_buy_ma_exit_strategy()