Moving Average Crossover Swing 策略
该策略在快速指数移动平均线上穿或下穿中速均线时交易,可选择使用慢速均线和 MACD 直方图确认。利用 ATR 设定止损和止盈,并可在另一组均线交叉时离场。
详情
- 入场条件:
- 快速 EMA 上穿/下穿 中速 EMA。
- 可选:价格高于/低于慢速 EMA。
- 可选:MACD 直方图高于/低于零。
- 多空方向:可配置。
- 出场条件:基于 ATR 的止损/止盈或可选的均线交叉。
- 止损:是,ATR 倍数。
- 默认值:
FastPeriod= 5MediumPeriod= 10SlowPeriod= 50FastExitPeriod= 5MediumExitPeriod= 10AtrPeriod= 14AtrStopMultiplier= 1.4AtrTakeMultiplier= 3.2EnableSlow= trueEnableMacd= trueEnableLong= trueEnableShort= falseEnableCrossExit= trueCandleType= TimeSpan.FromMinutes(1)
- 过滤器:
- 分类:Trend following
- 方向:可配置
- 指标:EMA, MACD, ATR
- 止损:是
- 复杂度:中等
- 时间框架:1m(默认)
- 季节性:无
- 神经网络:无
- 背离:无
- 风险等级:中等
using System;
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>
/// Moving average crossover swing strategy with ATR-based stops.
/// </summary>
public class MovingAverageCrossoverSwingStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _mediumPeriod;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<decimal> _atrStopMult;
private readonly StrategyParam<decimal> _atrTakeMult;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<decimal> _minSpreadPercent;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevMedium;
private decimal _entryPrice;
private decimal _entryAtr;
private bool _hasPrev;
private int _barIndex;
private int _lastSignalBar = -1000000;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int MediumPeriod { get => _mediumPeriod.Value; set => _mediumPeriod.Value = value; }
public int AtrPeriod { get => _atrPeriod.Value; set => _atrPeriod.Value = value; }
public decimal AtrStopMult { get => _atrStopMult.Value; set => _atrStopMult.Value = value; }
public decimal AtrTakeMult { get => _atrTakeMult.Value; set => _atrTakeMult.Value = value; }
public int CooldownBars { get => _cooldownBars.Value; set => _cooldownBars.Value = value; }
public decimal MinSpreadPercent { get => _minSpreadPercent.Value; set => _minSpreadPercent.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public MovingAverageCrossoverSwingStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 10);
_mediumPeriod = Param(nameof(MediumPeriod), 30);
_atrPeriod = Param(nameof(AtrPeriod), 20);
_atrStopMult = Param(nameof(AtrStopMult), 5.0m);
_atrTakeMult = Param(nameof(AtrTakeMult), 10.0m);
_cooldownBars = Param(nameof(CooldownBars), 30).SetGreaterThanZero();
_minSpreadPercent = Param(nameof(MinSpreadPercent), 0.01m).SetGreaterThanZero();
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame());
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_hasPrev = false;
_barIndex = 0;
_lastSignalBar = -1000000;
_entryAtr = 0;
var fastEma = new ExponentialMovingAverage { Length = FastPeriod };
var mediumEma = new ExponentialMovingAverage { Length = MediumPeriod };
var atr = new AverageTrueRange { Length = AtrPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fastEma, mediumEma, atr, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal medium, decimal atr)
{
if (candle.State != CandleStates.Finished)
return;
_barIndex++;
if (!_hasPrev)
{
_prevFast = fast;
_prevMedium = medium;
_hasPrev = true;
return;
}
var spreadPercent = candle.ClosePrice != 0m
? Math.Abs(fast - medium) / candle.ClosePrice * 100m
: 0m;
var canSignal = _barIndex - _lastSignalBar >= CooldownBars;
var longCross = _prevFast <= _prevMedium && fast > medium;
var shortCross = _prevFast >= _prevMedium && fast < medium;
if (canSignal && longCross && Position <= 0)
{
BuyMarket();
_entryPrice = candle.ClosePrice;
_entryAtr = atr;
_lastSignalBar = _barIndex;
}
else if (canSignal && shortCross && Position >= 0)
{
SellMarket();
_entryPrice = candle.ClosePrice;
_entryAtr = atr;
_lastSignalBar = _barIndex;
}
if (canSignal && Position > 0 && _entryAtr > 0)
{
var stop = _entryPrice - _entryAtr * AtrStopMult;
var take = _entryPrice + _entryAtr * AtrTakeMult;
if (candle.LowPrice <= stop || candle.HighPrice >= take)
{
SellMarket();
_lastSignalBar = _barIndex;
}
}
else if (canSignal && Position < 0 && _entryAtr > 0)
{
var stop = _entryPrice + _entryAtr * AtrStopMult;
var take = _entryPrice - _entryAtr * AtrTakeMult;
if (candle.HighPrice >= stop || candle.LowPrice <= take)
{
BuyMarket();
_lastSignalBar = _barIndex;
}
}
_prevFast = fast;
_prevMedium = medium;
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFast = 0m;
_prevMedium = 0m;
_entryPrice = 0m;
_entryAtr = 0m;
_hasPrev = false;
_barIndex = 0;
_lastSignalBar = -1000000;
}
}
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, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class moving_average_crossover_swing_strategy(Strategy):
"""
Moving average crossover swing: fast/medium EMA cross with ATR-based stops.
"""
def __init__(self):
super(moving_average_crossover_swing_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 10).SetDisplay("Fast", "Fast EMA", "Indicators")
self._medium_period = self.Param("MediumPeriod", 30).SetDisplay("Medium", "Medium EMA", "Indicators")
self._atr_period = self.Param("AtrPeriod", 20).SetDisplay("ATR", "ATR period", "Indicators")
self._atr_stop_mult = self.Param("AtrStopMult", 5.0).SetDisplay("ATR Stop", "ATR stop mult", "Risk")
self._atr_take_mult = self.Param("AtrTakeMult", 10.0).SetDisplay("ATR Take", "ATR take mult", "Risk")
self._cooldown_bars = self.Param("CooldownBars", 30).SetDisplay("Cooldown", "Min bars between entries", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Candles", "General")
self._prev_fast = 0.0
self._prev_medium = 0.0
self._entry_price = 0.0
self._entry_atr = 0.0
self._has_prev = False
self._bar_index = 0
self._last_signal_bar = -1000000
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(moving_average_crossover_swing_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_medium = 0.0
self._entry_price = 0.0
self._entry_atr = 0.0
self._has_prev = False
self._bar_index = 0
self._last_signal_bar = -1000000
def OnStarted2(self, time):
super(moving_average_crossover_swing_strategy, self).OnStarted2(time)
fast = ExponentialMovingAverage()
fast.Length = self._fast_period.Value
medium = ExponentialMovingAverage()
medium.Length = self._medium_period.Value
atr = AverageTrueRange()
atr.Length = self._atr_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast, medium, atr, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast)
self.DrawIndicator(area, medium)
self.DrawOwnTrades(area)
def _process_candle(self, candle, fast_val, medium_val, atr_val):
if candle.State != CandleStates.Finished:
return
fast = float(fast_val)
medium = float(medium_val)
atr = float(atr_val)
self._bar_index += 1
if not self._has_prev:
self._prev_fast = fast
self._prev_medium = medium
self._has_prev = True
return
can_signal = self._bar_index - self._last_signal_bar >= self._cooldown_bars.Value
long_cross = self._prev_fast <= self._prev_medium and fast > medium
short_cross = self._prev_fast >= self._prev_medium and fast < medium
close = float(candle.ClosePrice)
if can_signal and long_cross and self.Position <= 0:
self.BuyMarket()
self._entry_price = close
self._entry_atr = atr
self._last_signal_bar = self._bar_index
elif can_signal and short_cross and self.Position >= 0:
self.SellMarket()
self._entry_price = close
self._entry_atr = atr
self._last_signal_bar = self._bar_index
stop_mult = float(self._atr_stop_mult.Value)
take_mult = float(self._atr_take_mult.Value)
if can_signal and self.Position > 0 and self._entry_atr > 0:
stop = self._entry_price - self._entry_atr * stop_mult
take = self._entry_price + self._entry_atr * take_mult
if float(candle.LowPrice) <= stop or float(candle.HighPrice) >= take:
self.SellMarket()
self._last_signal_bar = self._bar_index
elif can_signal and self.Position < 0 and self._entry_atr > 0:
stop = self._entry_price + self._entry_atr * stop_mult
take = self._entry_price - self._entry_atr * take_mult
if float(candle.HighPrice) >= stop or float(candle.LowPrice) <= take:
self.BuyMarket()
self._last_signal_bar = self._bar_index
self._prev_fast = fast
self._prev_medium = medium
def CreateClone(self):
return moving_average_crossover_swing_strategy()