EMA回调策略
概述
EMA回调策略是MetaTrader "Ema" 专家顾问的高层移植版本。策略在设定的K线周期(默认5分钟)上计算5周期与10周期的指数移动平均线(EMA),使用中价 (最高价 + 最低价) / 2 作为输入。当出现快慢EMA金叉或死叉后,策略等待价格回撤到前一根K线的极值附近再入场,并在持仓后应用固定的止盈和止损距离。
交易逻辑
- 订阅配置的K线数据并基于中价更新两条EMA。
- 当快线从下向上穿越慢线时记录看多信号;当快线从上向下穿越慢线时记录看空信号。
- 交叉出现后进入等待模式:
- 多头:要求快EMA至少领先慢EMA两个价格点,同时收盘价回撤到上一根K线最高价减去
MoveBackPoints转换后的距离。 - 空头:要求慢EMA至少领先快EMA两个价格点,同时收盘价回调到上一根K线最低价加上
MoveBackPoints转换后的距离。
- 多头:要求快EMA至少领先慢EMA两个价格点,同时收盘价回撤到上一根K线最高价减去
- 条件满足时按照
TradeVolume发送市价单建立仓位。 - 建仓后根据
TakeProfitPoints与StopLossPoints将点数距离转换成绝对价格,设置静态止盈和止损水平。 - 每根完整K线检查一次,若最高价或最低价触及止盈/止损水平则立即平仓。
参数
| 参数 | 默认值 | 说明 |
|---|---|---|
TradeVolume |
0.1 |
每次下单使用的交易量。 |
FastLength |
5 |
快速EMA的周期。 |
SlowLength |
10 |
慢速EMA的周期。 |
MoveBackPoints |
3 |
入场所需的回撤距离(价格点),相对上一根K线的极值计算。 |
TakeProfitPoints |
5 |
止盈距离(价格点)。 |
StopLossPoints |
20 |
止损距离(价格点)。 |
CandleType |
5m |
指标与信号使用的K线周期。 |
说明
- 仅处理
Finished状态的K线,避免尚未收盘的数据导致假信号。 - 启动时自动将策略的
Volume属性同步到TradeVolume参数。 - 点值转换依赖标的物的
PriceStep,请确保交易品种设置正确。 - 策略同一时间只保持一个净头寸,平仓后需要新的EMA交叉信号才能再次触发。
using System;
using System.Collections.Generic;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// EMA Pullback strategy - fast/slow EMA crossover with pullback entry.
/// After a bullish crossover, waits for a pullback to fast EMA to enter long.
/// After a bearish crossover, waits for a pullback to fast EMA to enter short.
/// </summary>
public class EmaPullbackStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private decimal _prevClose;
private bool _hasPrev;
private bool _bullishCross;
private bool _bearishCross;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public EmaPullbackStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 8)
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 21)
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities() => [(Security, CandleType)];
protected override void OnReseted() { base.OnReseted(); _prevFast = 0m; _prevSlow = 0m; _prevClose = 0m; _hasPrev = false; _bullishCross = false; _bearishCross = false; }
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_hasPrev = false;
_bullishCross = false;
_bearishCross = false;
var fast = new ExponentialMovingAverage { Length = FastPeriod };
var slow = new ExponentialMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fast, slow, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal slow)
{
if (candle.State != CandleStates.Finished)
return;
var close = candle.ClosePrice;
if (!_hasPrev)
{
_prevFast = fast;
_prevSlow = slow;
_prevClose = close;
_hasPrev = true;
return;
}
// Detect crossovers
if (_prevFast <= _prevSlow && fast > slow)
{
_bullishCross = true;
_bearishCross = false;
}
else if (_prevFast >= _prevSlow && fast < slow)
{
_bearishCross = true;
_bullishCross = false;
}
// Pullback entry: after bullish cross, wait for close to touch fast EMA
if (_bullishCross && fast > slow && _prevClose > _prevFast && close <= fast && Position <= 0)
{
if (Position < 0)
BuyMarket();
BuyMarket();
_bullishCross = false;
}
// Pullback entry: after bearish cross, wait for close to touch fast EMA
else if (_bearishCross && fast < slow && _prevClose < _prevFast && close >= fast && Position >= 0)
{
if (Position > 0)
SellMarket();
SellMarket();
_bearishCross = false;
}
// Exit on opposite crossover
else if (Position > 0 && fast < slow)
{
SellMarket();
}
else if (Position < 0 && fast > slow)
{
BuyMarket();
}
_prevFast = fast;
_prevSlow = slow;
_prevClose = close;
}
}
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
from StockSharp.Algo.Strategies import Strategy
class ema_pullback_strategy(Strategy):
def __init__(self):
super(ema_pullback_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 8) \
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators")
self._slow_period = self.Param("SlowPeriod", 21) \
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle timeframe", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._prev_close = 0.0
self._has_prev = False
self._bullish_cross = False
self._bearish_cross = False
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(ema_pullback_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._prev_close = 0.0
self._has_prev = False
self._bullish_cross = False
self._bearish_cross = False
def OnStarted2(self, time):
super(ema_pullback_strategy, self).OnStarted2(time)
self._has_prev = False
self._bullish_cross = False
self._bearish_cross = False
fast = ExponentialMovingAverage()
fast.Length = self.fast_period
slow = ExponentialMovingAverage()
slow.Length = self.slow_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast, slow, self.process_candle).Start()
def process_candle(self, candle, fast, slow):
if candle.State != CandleStates.Finished:
return
fast_val = float(fast)
slow_val = float(slow)
close = float(candle.ClosePrice)
if not self._has_prev:
self._prev_fast = fast_val
self._prev_slow = slow_val
self._prev_close = close
self._has_prev = True
return
if self._prev_fast <= self._prev_slow and fast_val > slow_val:
self._bullish_cross = True
self._bearish_cross = False
elif self._prev_fast >= self._prev_slow and fast_val < slow_val:
self._bearish_cross = True
self._bullish_cross = False
if self._bullish_cross and fast_val > slow_val and self._prev_close > self._prev_fast and close <= fast_val and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._bullish_cross = False
elif self._bearish_cross and fast_val < slow_val and self._prev_close < self._prev_fast and close >= fast_val and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._bearish_cross = False
elif self.Position > 0 and fast_val < slow_val:
self.SellMarket()
elif self.Position < 0 and fast_val > slow_val:
self.BuyMarket()
self._prev_fast = fast_val
self._prev_slow = slow_val
self._prev_close = close
def CreateClone(self):
return ema_pullback_strategy()