BeerGod EMA 定时策略
该策略将 MetaTrader 上的 BeerGodEA 迁移到 StockSharp 平台。它基于均值回归思想,仅在单一标的上操作,通过监控 60 周期指数移动平均线 (EMA) 并比较上一根 K 线的收盘价来寻找机会。信号只会在每根 K 线开盘后经过指定的分钟数 时检查一次,从而复刻原始 EA 先等待再下单的逻辑。
当价格暂时偏离 EMA 且 EMA 的方向与价格运动相反时,策略会建立市场头寸,期望价格回归。如果当前存在反向持仓, 策略会自动扩大新订单的数量,先平掉旧仓,再在同一笔交易中打开新的方向仓位。
工作流程
- 订阅指定周期的 K 线(默认 5 分钟),并根据收盘价计算 60 周期 EMA。
- 实时跟踪当前 K 线。每当出现新的一根 K 线时,保存上一根 K 线的 EMA 数值以及收盘价,以便后续比较。
- 当距离开盘达到设定的分钟数(默认 3 分钟)时,检查下述条件:
- 买入条件:当前价格 < 当前 EMA,EMA 低于前一根 K 线的 EMA(EMA 向下),且当前价格 < 上一根 K 线收盘价。
- 卖出条件:当前价格 > 当前 EMA,EMA 高于前一根 K 线的 EMA(EMA 向上),且当前价格 > 上一根 K 线收盘价。
- 若满足买入条件且当前没有多头头寸,则发送市场买单。下单数量会自动加上现有空头仓位,使得一次交易即可平掉 空头并建立新的多头仓位。卖出条件的处理方式与之对称。
- 当某根 K 线触发交易后,该根 K 线的信号将标记为已处理,避免在同一根 K 线上重复入场。
参数说明
- Volume – 下单数量(默认 1 手)。当需要反向操作时,订单会额外加上当前持仓量,从而一次性完成平仓与反向建仓。
- EMA Length – EMA 的计算周期(默认 60)。
- Trigger Minutes – 自 K 线开盘起等待的分钟数,达到后才评估信号(默认 3)。如果错过该时间窗口,将等待下一根 K 线。
- Candle Type – 用于计算的 K 线类型(默认 5 分钟 K 线)。
交易提示
- 只要标的提供 K 线数据和 Level1 行情,该策略即可运行。若交易时段与原始 EA 不同,可调整 K 线周期。
- 同一时间仅持有一个方向的仓位。策略通过调整订单数量自动完成反向仓位的平仓与开仓。
- 原策略未设置固定的止损/止盈,如有需要可在外部加入风险控制措施。
- 策略启动时会调用 StartProtection,以便在连接异常或人工干预时由 StockSharp 自动处理紧急平仓。
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>
/// Mean-reversion strategy that triggers trades a few minutes after the bar opens using an EMA trend filter.
/// </summary>
public class BeerGodEmaTimingStrategy : Strategy
{
private readonly StrategyParam<int> _emaLength;
private readonly StrategyParam<int> _triggerMinutes;
private readonly StrategyParam<DataType> _candleType;
private EMA _ema = null!;
private DateTimeOffset _currentCandleOpenTime = DateTimeOffset.MinValue;
private decimal _currentEma;
private decimal _previousEma;
private decimal _currentClose;
private decimal _previousClose;
/// <summary>
/// EMA length used as the directional filter.
/// </summary>
public int EmaLength
{
get => _emaLength.Value;
set => _emaLength.Value = value;
}
/// <summary>
/// Minutes from the candle open when the entry check is performed.
/// </summary>
public int TriggerMinutesFromOpen
{
get => _triggerMinutes.Value;
set => _triggerMinutes.Value = value;
}
/// <summary>
/// Candle type used for signal generation.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes a new instance of <see cref="BeerGodEmaTimingStrategy"/>.
/// </summary>
public BeerGodEmaTimingStrategy()
{
_emaLength = Param(nameof(EmaLength), 60)
.SetGreaterThanZero()
.SetDisplay("EMA Length", "EMA length for the trend filter", "Indicator")
.SetOptimize(20, 120, 10);
_triggerMinutes = Param(nameof(TriggerMinutesFromOpen), 3)
.SetNotNegative()
.SetDisplay("Trigger Minutes", "Minutes after open to check signals", "Timing")
.SetOptimize(1, 10, 1);
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Primary candle type", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_currentCandleOpenTime = DateTimeOffset.MinValue;
_currentEma = 0m;
_previousEma = 0m;
_currentClose = 0m;
_previousClose = 0m;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_ema = new EMA
{
Length = EmaLength
};
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_ema, ProcessCandle)
.Start();
// no fixed protection needed
}
private void ProcessCandle(ICandleMessage candle, decimal emaValue)
{
if (candle.State != CandleStates.Finished)
return;
_previousEma = _currentEma;
_previousClose = _currentClose;
_currentEma = emaValue;
_currentClose = candle.ClosePrice;
if (!_ema.IsFormed || _previousEma == 0m)
return;
var price = candle.ClosePrice;
var maCurrent = _currentEma;
var maPrevious = _previousEma;
var prevClose = _previousClose;
var newBuy = price < maCurrent && maCurrent < maPrevious && price < prevClose;
var newSell = price > maCurrent && maCurrent > maPrevious && price > prevClose;
if (!newBuy && !newSell)
return;
if (newBuy && Position <= 0)
{
BuyMarket();
}
else if (newSell && Position >= 0)
{
SellMarket();
}
}
}
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.Strategies import Strategy
from StockSharp.Algo.Indicators import ExponentialMovingAverage
class beer_god_ema_timing_strategy(Strategy):
"""BeerGod EMA Timing: mean-reversion with EMA trend filter."""
def __init__(self):
super(beer_god_ema_timing_strategy, self).__init__()
self._ema_length = self.Param("EmaLength", 60) \
.SetGreaterThanZero() \
.SetDisplay("EMA Length", "EMA length for the trend filter", "Indicator")
self._trigger_minutes = self.Param("TriggerMinutesFromOpen", 3) \
.SetDisplay("Trigger Minutes", "Minutes after open to check signals", "Timing")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Primary candle type", "General")
self._current_ema = 0.0
self._previous_ema = 0.0
self._current_close = 0.0
self._previous_close = 0.0
@property
def EmaLength(self):
return int(self._ema_length.Value)
@property
def TriggerMinutesFromOpen(self):
return int(self._trigger_minutes.Value)
@property
def CandleType(self):
return self._candle_type.Value
def OnStarted2(self, time):
super(beer_god_ema_timing_strategy, self).OnStarted2(time)
self._current_ema = 0.0
self._previous_ema = 0.0
self._current_close = 0.0
self._previous_close = 0.0
self._ema = ExponentialMovingAverage()
self._ema.Length = self.EmaLength
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(self._ema, self.process_candle).Start()
def process_candle(self, candle, ema_value):
if candle.State != CandleStates.Finished:
return
self._previous_ema = self._current_ema
self._previous_close = self._current_close
self._current_ema = float(ema_value)
self._current_close = float(candle.ClosePrice)
if not self._ema.IsFormed or self._previous_ema == 0:
return
price = float(candle.ClosePrice)
ma_current = self._current_ema
ma_previous = self._previous_ema
prev_close = self._previous_close
new_buy = price < ma_current and ma_current < ma_previous and price < prev_close
new_sell = price > ma_current and ma_current > ma_previous and price > prev_close
if not new_buy and not new_sell:
return
if new_buy and self.Position <= 0:
self.BuyMarket()
elif new_sell and self.Position >= 0:
self.SellMarket()
def OnReseted(self):
super(beer_god_ema_timing_strategy, self).OnReseted()
self._current_ema = 0.0
self._previous_ema = 0.0
self._current_close = 0.0
self._previous_close = 0.0
def CreateClone(self):
return beer_god_ema_timing_strategy()