多时间框架 Parabolic SAR
该策略结合多个时间框架上的 Parabolic SAR 信号。当价格高于所选 SAR 时做多,价格跌破 SAR 时做空。支持可选的止损、追踪止损和止盈。
详情
- 入场条件:
- 多头:价格高于
LongSource指定的 SAR。 - 空头:价格低于
ShortSource指定的 SAR。
- 多头:价格高于
- 出场条件:
- 价格与 SAR 反向穿越或触发保护。
- 指标:
- 当前时间框架的 Parabolic SAR
- 可选的高阶与低阶时间框架 Parabolic SAR
- 止损:通过 StartProtection 设置的止损、追踪止损和止盈(可选)。
- 默认值:
Acceleration= 0.02MaxAcceleration= 0.2StopLossPercent= 1TrailingPercent= 0.5TakeProfitPercent= 2
- 过滤条件:
- 时间框架:主 5m,高阶 1d,低阶 1m
- 指标:Parabolic SAR
- 止损:可选
- 复杂度:中等
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>
/// Parabolic SAR-style strategy using EMA and RSI.
/// </summary>
public class MultiTimeframeParabolicSarStrategy : Strategy
{
private readonly StrategyParam<int> _emaLength;
private readonly StrategyParam<int> _rsiLength;
private readonly StrategyParam<DataType> _candleType;
public int EmaLength { get => _emaLength.Value; set => _emaLength.Value = value; }
public int RsiLength { get => _rsiLength.Value; set => _rsiLength.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public MultiTimeframeParabolicSarStrategy()
{
_emaLength = Param(nameof(EmaLength), 20)
.SetGreaterThanZero()
.SetDisplay("EMA", "EMA period", "Indicators");
_rsiLength = Param(nameof(RsiLength), 14)
.SetGreaterThanZero()
.SetDisplay("RSI", "RSI period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(2).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var ema = new ExponentialMovingAverage { Length = EmaLength };
var rsi = new RelativeStrengthIndex { Length = RsiLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ema, rsi, (candle, emaVal, rsiVal) =>
{
if (candle.State != CandleStates.Finished)
return;
if (!ema.IsFormed || !rsi.IsFormed)
return;
// Buy when price above EMA and RSI confirms uptrend
if (candle.ClosePrice > emaVal && rsiVal > 50 && Position <= 0)
BuyMarket();
// Sell when price below EMA and RSI confirms downtrend
else if (candle.ClosePrice < emaVal && rsiVal < 50 && Position > 0)
SellMarket();
})
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ema);
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 multi_timeframe_parabolic_sar_strategy(Strategy):
def __init__(self):
super(multi_timeframe_parabolic_sar_strategy, self).__init__()
self._ema_length = self.Param("EmaLength", 20) \
.SetGreaterThanZero() \
.SetDisplay("EMA", "EMA period", "Indicators")
self._rsi_length = self.Param("RsiLength", 14) \
.SetGreaterThanZero() \
.SetDisplay("RSI", "RSI period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(2))) \
.SetDisplay("Candle Type", "Type of candles", "General")
@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(multi_timeframe_parabolic_sar_strategy, self).OnReseted()
def OnStarted2(self, time):
super(multi_timeframe_parabolic_sar_strategy, self).OnStarted2(time)
self._ema = ExponentialMovingAverage()
self._ema.Length = self._ema_length.Value
self._rsi = RelativeStrengthIndex()
self._rsi.Length = self._rsi_length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._ema, self._rsi, self.OnProcess).Start()
def OnProcess(self, candle, ema_val, rsi_val):
if candle.State != CandleStates.Finished:
return
if not self._ema.IsFormed or not self._rsi.IsFormed:
return
ev = float(ema_val)
rv = float(rsi_val)
close = float(candle.ClosePrice)
if close > ev and rv > 50.0 and self.Position <= 0:
self.BuyMarket()
elif close < ev and rv < 50.0 and self.Position > 0:
self.SellMarket()
def CreateClone(self):
return multi_timeframe_parabolic_sar_strategy()