在 GitHub 上查看
EMA LWMA RSI 策略
概述
EMA LWMA RSI Strategy 将 MetaTrader 专家顾问 “EMA LWMA RSI” 迁移到 StockSharp。策略比较两条使用相同价格类型(并可选向前平移)的均线,并通过 RSI 滤波确认动量。算法仅在指定周期的完整蜡烛形成后触发信号,而且始终只持有单一净持仓:在反向开仓前会先平掉已有仓位。止损和止盈距离以 pip 表示,并根据标的的最小价位自动换算。
交易逻辑
- 计算指数移动平均线(EMA)和线性加权移动平均线(LWMA),两者拥有独立周期,但共享
MaAppliedPrice。当 MaShift 大于 0 时,两条均线都会通过 Shift 指标向前平移对应的柱数,以模拟 MetaTrader 的 shift 参数。
- RSI 使用独立的
RsiAppliedPrice 计算,50 水平作为多空分界。
- 当收到一根完结蜡烛时:
- 若 EMA 从上方向上穿越 LWMA(上一根 EMA 高于 LWMA,本根 EMA 低于 LWMA),且 RSI > 50,则触发 买入 信号。
- 若 EMA 从下方向下穿越 LWMA(上一根 EMA 低于 LWMA,本根 EMA 高于 LWMA),且 RSI < 50,则触发 卖出 信号。
- 信号只会设置内部等待标志。若需要反向开仓,策略先调用
ClosePosition() 平掉当前持仓;待成交确认后,立即按标志方向发送市价单。这一流程忠实还原了原始 EA 在下单前等待成交确认的逻辑。
- 通过
StartProtection 启动保护。若某个止损/止盈参数为 0,则对应腿被忽略,与 MQL 行为保持一致。
实现要点
- 价格类型完全对应 MetaTrader 选项(Close、Open、High、Low、Median、Typical、Weighted、Average)。加权价按
(High + Low + 2 * Close) / 4 计算,与 PRICE_WEIGHTED 相同。
- Pip 计算会在 3/5 位外汇品种上自动将
PriceStep 乘以 10,使 1 pip 等于 10 个最小价位。
- 通过高层
SubscribeCandles 订阅蜡烛,并使用 Shift 指标实现平移,无需手动维护历史缓冲。
- 通过布尔标志
_pendingBuy、_pendingSell 管理待执行订单,防止在上一笔指令尚未完成时重复下单,成交或持仓符合信号后自动清零。
- 图表助手在主图绘制蜡烛与两条均线,RSI 则显示在独立面板上,方便监控。
参数
| 参数 |
类型 |
默认值 |
说明 |
CandleType |
DataType |
1 小时时间框架 |
用于分析的蜡烛序列。 |
StopLossPips |
int |
150 |
止损距离(pip),设为 0 则关闭。 |
TakeProfitPips |
int |
150 |
止盈距离(pip),设为 0 则关闭。 |
EmaPeriod |
int |
28 |
EMA 周期。 |
LwmaPeriod |
int |
8 |
LWMA 周期。 |
MaShift |
int |
0 |
均线向前平移的柱数。 |
RsiPeriod |
int |
14 |
RSI 平滑周期。 |
MaAppliedPrice |
AppliedPriceType |
Weighted |
EMA/LWMA 使用的价格类型。 |
RsiAppliedPrice |
AppliedPriceType |
Weighted |
RSI 使用的价格类型。 |
使用步骤
- 将策略绑定到目标证券,并将
CandleType 调整为与 MetaTrader 中相同的周期。
- 根据经纪商需求修改 pip 保护距离及指标参数。
- 启动订阅后允许交易。策略始终只持有单一方向仓位,并会先通过
ClosePosition() 平仓再反手。
当前暂未提供该策略的 Python 版本。
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
public class EmaLwmaRsiStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _stopLossPoints;
private readonly StrategyParam<int> _takeProfitPoints;
private ExponentialMovingAverage _fast;
private ExponentialMovingAverage _slow;
private decimal _prevFast;
private decimal _prevSlow;
private decimal _entryPrice;
private int _cooldown;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public int StopLossPoints { get => _stopLossPoints.Value; set => _stopLossPoints.Value = value; }
public int TakeProfitPoints { get => _takeProfitPoints.Value; set => _takeProfitPoints.Value = value; }
public EmaLwmaRsiStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 14).SetGreaterThanZero().SetDisplay("Fast Period", "Fast EMA period", "Indicator");
_slowPeriod = Param(nameof(SlowPeriod), 50).SetGreaterThanZero().SetDisplay("Slow Period", "Slow EMA period", "Indicator");
_stopLossPoints = Param(nameof(StopLossPoints), 200).SetNotNegative().SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk");
_takeProfitPoints = Param(nameof(TakeProfitPoints), 400).SetNotNegative().SetDisplay("Take Profit", "Take-profit in price steps", "Risk");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
yield return (Security, TimeSpan.FromMinutes(5).TimeFrame());
}
protected override void OnReseted()
{
base.OnReseted();
_fast = null; _slow = null;
_prevFast = 0; _prevSlow = 0; _entryPrice = 0; _cooldown = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_fast = new ExponentialMovingAverage { Length = FastPeriod };
_slow = new ExponentialMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(TimeSpan.FromMinutes(5).TimeFrame());
subscription.Bind(_fast, _slow, ProcessCandle);
subscription.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastValue, decimal slowValue)
{
if (candle.State != CandleStates.Finished) return;
if (!_fast.IsFormed || !_slow.IsFormed) { _prevFast = fastValue; _prevSlow = slowValue; return; }
if (_cooldown > 0) { _cooldown--; _prevFast = fastValue; _prevSlow = slowValue; return; }
var close = candle.ClosePrice;
var step = Security?.PriceStep ?? 1m;
if (Position > 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close <= _entryPrice - StopLossPoints * step) { SellMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
if (TakeProfitPoints > 0 && close >= _entryPrice + TakeProfitPoints * step) { SellMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
}
else if (Position < 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close >= _entryPrice + StopLossPoints * step) { BuyMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
if (TakeProfitPoints > 0 && close <= _entryPrice - TakeProfitPoints * step) { BuyMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
}
if (_prevFast <= _prevSlow && fastValue > slowValue && Position <= 0)
{ if (Position < 0) BuyMarket(); BuyMarket(); _entryPrice = close; _cooldown = 100; }
else if (_prevFast >= _prevSlow && fastValue < slowValue && Position >= 0)
{ if (Position > 0) SellMarket(); SellMarket(); _entryPrice = close; _cooldown = 100; }
_prevFast = fastValue; _prevSlow = slowValue;
}
}
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_lwma_rsi_strategy(Strategy):
def __init__(self):
super(ema_lwma_rsi_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 14) \
.SetDisplay("Fast Period", "Fast MA period", "Indicator")
self._slow_period = self.Param("SlowPeriod", 50) \
.SetDisplay("Slow Period", "Slow MA period", "Indicator")
self._stop_loss_points = self.Param("StopLossPoints", 200) \
.SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk")
self._take_profit_points = self.Param("TakeProfitPoints", 400) \
.SetDisplay("Take Profit", "Take-profit in price steps", "Risk")
self._fast = None
self._slow = None
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown = 0
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def stop_loss_points(self):
return self._stop_loss_points.Value
@property
def take_profit_points(self):
return self._take_profit_points.Value
def OnReseted(self):
super(ema_lwma_rsi_strategy, self).OnReseted()
self._fast = None
self._slow = None
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(ema_lwma_rsi_strategy, self).OnStarted2(time)
self._fast = ExponentialMovingAverage()
self._fast.Length = self.fast_period
self._slow = ExponentialMovingAverage()
self._slow.Length = self.slow_period
subscription = self.SubscribeCandles(DataType.TimeFrame(TimeSpan.FromMinutes(5)))
subscription.Bind(self._fast, self._slow, self._process_candle)
subscription.Start()
def _process_candle(self, candle, fast_value, slow_value):
if candle.State != CandleStates.Finished:
return
fast_val = float(fast_value)
slow_val = float(slow_value)
if not self._fast.IsFormed or not self._slow.IsFormed:
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_fast = fast_val
self._prev_slow = slow_val
return
close = float(candle.ClosePrice)
step = float(self.Security.PriceStep) if self.Security is not None and self.Security.PriceStep is not None else 1.0
if self.Position > 0 and self._entry_price > 0:
if self.stop_loss_points > 0 and close <= self._entry_price - self.stop_loss_points * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self.take_profit_points > 0 and close >= self._entry_price + self.take_profit_points * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
elif self.Position < 0 and self._entry_price > 0:
if self.stop_loss_points > 0 and close >= self._entry_price + self.stop_loss_points * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self.take_profit_points > 0 and close <= self._entry_price - self.take_profit_points * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self._prev_fast <= self._prev_slow and fast_val > slow_val and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._entry_price = close
self._cooldown = 100
elif self._prev_fast >= self._prev_slow and fast_val < slow_val and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._entry_price = close
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
def CreateClone(self):
return ema_lwma_rsi_strategy()