Expert ZZLWA 策略
概述
该策略是 MetaTrader 5 上 ExpertZZLWA 智能交易系统的 StockSharp 高级 API 版本移植。原始 EA 提供三种运行模式以及可选的马丁格尔加仓机制。本移植在保留原始结构的同时,使用 StockSharp 的 K 线与指标实现同样的交易逻辑:
- Original 模式 – 在没有持仓时,每根完成的 K 线轮流开多、开空。
- ZigZag Addition 模式 – 通过滚动最高价/最低价指标模拟 “ZigZag LW Addition” 自定义指标的买卖缓冲区信号。
- Moving Average Test 模式 – 复制 MQL 代码中的平滑均线(150)与简单均线(10)交叉逻辑。
所有模式都使用以点数表示的止损和止盈距离。可选的马丁格尔机制会在出现亏损时将下笔订单的数量乘以一个系数,并受最大仓位限制。
交易逻辑
Original 模式
- 仅在 K 线收盘后工作。
- 当没有持仓时,每根新 K 线按顺序在多空之间切换。
- 止损与止盈通过
StartProtection帮助方法自动登记。 - 交易平仓(止损或止盈)后,下一个方向在下一根 K 线启用。
ZigZag Addition 模式
- 订阅选定的 K 线序列,维护
Highest与Lowest指标。 - 当蜡烛的最高价触及当前最高值并且之前方向不是向上时,认为出现新的波峰(触发卖出信号)。
- 当蜡烛的最低价触及滚动最低值并且之前方向不是向下时,认为出现新的波谷(触发买入信号)。
- 蜡烛收盘后立即执行对应方向的市价单。
Moving Average Test 模式
- 构建周期为 150 的平滑移动平均与周期为 10 的简单移动平均。
- 当平滑均线由下向上穿越简单均线时产生买入信号。
- 当平滑均线由上向下穿越简单均线时产生卖出信号。
- 仅在 K 线收盘后处理信号。
马丁格尔机制
- 每当有自成交回报时记录当前净持仓与平均入场价。
- 持仓完全平仓后,计算最近一笔交易的实际盈亏。
- 如果该笔交易亏损且启用了马丁格尔,则下一笔订单数量为
上一笔数量 × MartingaleMultiplier,同时限制在MaximumVolume以内。 - 若交易盈利或未启用马丁格尔,则恢复为基础下单数量。
参数
| 参数 | 默认值 | 说明 |
|---|---|---|
StopLossPoints |
600 | 止损距离(点)。 |
TakeProfitPoints |
700 | 止盈距离(点)。 |
BaseVolume |
0.01 | 未使用马丁格尔时的基础下单量。 |
UseMartingale |
false | 是否启用马丁格尔加仓。 |
MartingaleMultiplier |
2 | 亏损后乘以的加仓倍数。 |
MaximumVolume |
10 | 马丁格尔允许的最大下单量。 |
Mode |
Original | 运行模式:Original、ZigZagAddition 或 MovingAverageTest。 |
ZigZagTerm |
LongTerm | ZigZag 模式的灵敏度预设(ShortTerm、MediumTerm、LongTerm)。 |
SlowMaPeriod |
150 | MA 测试模式中的平滑均线周期。 |
FastMaPeriod |
10 | MA 测试模式中的简单均线周期。 |
CandleType |
15 分钟 | 使用的 K 线类型。 |
说明
- 止损/止盈距离会乘以合约的
PriceStep,与 MetaTrader 中的_Point行为一致。 - 策略完全基于 StockSharp 高级 API(
SubscribeCandles+ 指标绑定)。 - ZigZag 灵敏度对应的
Highest/Lowest周期分别为 12(短期)、24(中期)和 48(长期),可根据需要调整。 - 马丁格尔逻辑依赖于自成交回报,请确保运行环境能够正确提供订单成交信息。
与 MQL 版本的差异
- 原策略调用编译好的
ZigZag LW Addition指标,本移植通过滚动高低价再现其信号,无需外部文件。 - 下单使用
BuyMarket/SellMarket以及自动保护函数,而不是手工提交订单请求。 - MQL 版本从成交历史读取上一单的手数,移植版通过实时处理自成交计算最近的成交量与盈亏。
- 原代码中的滑点与魔术号参数在 StockSharp 环境下不再需要,因此被省略。
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>
/// Port of the ExpertZZLWA MetaTrader strategy with three operation modes.
/// </summary>
public class ExpertZzlwaStrategy : Strategy
{
private readonly StrategyParam<int> _stopLossPoints;
private readonly StrategyParam<int> _takeProfitPoints;
private readonly StrategyParam<decimal> _baseVolume;
private readonly StrategyParam<bool> _useMartingale;
private readonly StrategyParam<decimal> _martingaleMultiplier;
private readonly StrategyParam<decimal> _maximumVolume;
private readonly StrategyParam<StrategyModes> _mode;
private readonly StrategyParam<TermLevels> _termLevel;
private readonly StrategyParam<int> _slowMaPeriod;
private readonly StrategyParam<int> _fastMaPeriod;
private readonly StrategyParam<DataType> _candleType;
private Highest _highest;
private Lowest _lowest;
private SmoothedMovingAverage _slowMa;
private SimpleMovingAverage _fastMa;
private bool _pendingBuySignal;
private bool _pendingSellSignal;
private bool _originalBuyReady;
private bool _originalSellReady;
private int _zigZagDirection;
private decimal _prevSlow;
private decimal _prevFast;
private decimal _trackedPosition;
private decimal _averageEntryPrice;
private decimal _lastClosedVolume;
private bool _lastTradeLoss;
/// <summary>
/// Operation modes reproduced from the original expert.
/// </summary>
public enum StrategyModes
{
Original,
ZigZagAddition,
MovingAverageTest,
}
/// <summary>
/// ZigZag sensitivity presets available in addition mode.
/// </summary>
public enum TermLevels
{
ShortTerm,
MediumTerm,
LongTerm,
}
/// <summary>
/// Protective stop size in price points.
/// </summary>
public int StopLossPoints
{
get => _stopLossPoints.Value;
set => _stopLossPoints.Value = value;
}
/// <summary>
/// Profit target size in price points.
/// </summary>
public int TakeProfitPoints
{
get => _takeProfitPoints.Value;
set => _takeProfitPoints.Value = value;
}
/// <summary>
/// Base order volume used by the strategy.
/// </summary>
public decimal BaseVolume
{
get => _baseVolume.Value;
set => _baseVolume.Value = value;
}
/// <summary>
/// Enable martingale style position sizing.
/// </summary>
public bool UseMartingale
{
get => _useMartingale.Value;
set => _useMartingale.Value = value;
}
/// <summary>
/// Multiplier applied after a losing trade when martingale is active.
/// </summary>
public decimal MartingaleMultiplier
{
get => _martingaleMultiplier.Value;
set => _martingaleMultiplier.Value = value;
}
/// <summary>
/// Maximum allowed order volume.
/// </summary>
public decimal MaximumVolume
{
get => _maximumVolume.Value;
set => _maximumVolume.Value = value;
}
/// <summary>
/// Selected trading mode.
/// </summary>
public StrategyModes Mode
{
get => _mode.Value;
set => _mode.Value = value;
}
/// <summary>
/// ZigZag term preset for addition mode.
/// </summary>
public TermLevels ZigZagTerm
{
get => _termLevel.Value;
set => _termLevel.Value = value;
}
/// <summary>
/// Period of the slow smoothed moving average used in MA test mode.
/// </summary>
public int SlowMaPeriod
{
get => _slowMaPeriod.Value;
set => _slowMaPeriod.Value = value;
}
/// <summary>
/// Period of the fast simple moving average used in MA test mode.
/// </summary>
public int FastMaPeriod
{
get => _fastMaPeriod.Value;
set => _fastMaPeriod.Value = value;
}
/// <summary>
/// Candle type processed by the strategy.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes a new instance of the <see cref="ExpertZzlwaStrategy"/> class.
/// </summary>
public ExpertZzlwaStrategy()
{
_stopLossPoints = Param(nameof(StopLossPoints), 600)
.SetGreaterThanZero()
.SetDisplay("Stop Loss (points)", "Protective stop in points", "Risk");
_takeProfitPoints = Param(nameof(TakeProfitPoints), 700)
.SetGreaterThanZero()
.SetDisplay("Take Profit (points)", "Profit target in points", "Risk");
_baseVolume = Param(nameof(BaseVolume), 0.01m)
.SetGreaterThanZero()
.SetDisplay("Base Volume", "Default order volume", "Trading");
_useMartingale = Param(nameof(UseMartingale), false)
.SetDisplay("Use Martingale", "Enable martingale sizing", "Trading");
_martingaleMultiplier = Param(nameof(MartingaleMultiplier), 2m)
.SetGreaterThanZero()
.SetDisplay("Martingale Multiplier", "Multiplier applied after a loss", "Trading");
_maximumVolume = Param(nameof(MaximumVolume), 10m)
.SetGreaterThanZero()
.SetDisplay("Maximum Volume", "Upper cap for order size", "Trading");
_mode = Param(nameof(Mode), StrategyModes.MovingAverageTest)
.SetDisplay("Mode", "Operating mode", "General");
_termLevel = Param(nameof(ZigZagTerm), TermLevels.LongTerm)
.SetDisplay("ZigZag Term", "Sensitivity preset for ZigZag", "Indicators");
_slowMaPeriod = Param(nameof(SlowMaPeriod), 150)
.SetGreaterThanZero()
.SetDisplay("Slow MA Period", "Smoothed MA length", "Indicators");
_fastMaPeriod = Param(nameof(FastMaPeriod), 10)
.SetGreaterThanZero()
.SetDisplay("Fast MA Period", "Simple MA length", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame())
.SetDisplay("Candle Type", "Time frame to analyse", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_highest = null;
_lowest = null;
_slowMa = null;
_fastMa = null;
_pendingBuySignal = false;
_pendingSellSignal = false;
_originalBuyReady = true;
_originalSellReady = true;
_zigZagDirection = 0;
_prevSlow = 0m;
_prevFast = 0m;
_trackedPosition = 0m;
_averageEntryPrice = 0m;
_lastClosedVolume = BaseVolume;
_lastTradeLoss = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
StartProtection(
stopLoss: new Unit(StopLossPoints * GetPriceStep(), UnitTypes.Absolute),
takeProfit: new Unit(TakeProfitPoints * GetPriceStep(), UnitTypes.Absolute));
_originalBuyReady = true;
_originalSellReady = true;
_pendingBuySignal = false;
_pendingSellSignal = false;
_trackedPosition = 0m;
_averageEntryPrice = 0m;
_lastClosedVolume = BaseVolume;
_lastTradeLoss = false;
var subscription = SubscribeCandles(CandleType);
switch (Mode)
{
case StrategyModes.Original:
subscription.Bind(ProcessOriginalCandle).Start();
break;
case StrategyModes.ZigZagAddition:
_highest = new Highest { Length = GetZigZagDepth(ZigZagTerm) };
_lowest = new Lowest { Length = GetZigZagDepth(ZigZagTerm) };
subscription.Bind(_highest, _lowest, ProcessAdditionCandle).Start();
break;
case StrategyModes.MovingAverageTest:
_slowMa = new SmoothedMovingAverage { Length = SlowMaPeriod };
_fastMa = new SimpleMovingAverage { Length = FastMaPeriod };
subscription.Bind(_slowMa, _fastMa, ProcessMovingAverageCandle).Start();
break;
default:
throw new NotSupportedException($"Unsupported mode {Mode}.");
}
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
switch (Mode)
{
case StrategyModes.ZigZagAddition:
DrawIndicator(area, _highest);
DrawIndicator(area, _lowest);
break;
case StrategyModes.MovingAverageTest:
DrawIndicator(area, _slowMa);
DrawIndicator(area, _fastMa);
break;
}
DrawOwnTrades(area);
}
}
private void ProcessOriginalCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
if (Position == 0)
{
if (_originalBuyReady)
{
ExecuteTrade(Sides.Buy);
_originalBuyReady = false;
_originalSellReady = true;
}
else if (_originalSellReady)
{
ExecuteTrade(Sides.Sell);
_originalSellReady = false;
_originalBuyReady = true;
}
}
}
private void ProcessAdditionCandle(ICandleMessage candle, decimal highest, decimal lowest)
{
if (candle.State != CandleStates.Finished)
return;
if (!_highest.IsFormed || !_lowest.IsFormed)
return;
// Detect fresh ZigZag pivots similar to the original indicator buffers.
if (candle.HighPrice >= highest && _zigZagDirection != 1)
{
_pendingSellSignal = true;
_pendingBuySignal = false;
_zigZagDirection = 1;
}
else if (candle.LowPrice <= lowest && _zigZagDirection != -1)
{
_pendingBuySignal = true;
_pendingSellSignal = false;
_zigZagDirection = -1;
}
DispatchSignals();
}
private void ProcessMovingAverageCandle(ICandleMessage candle, decimal slow, decimal fast)
{
if (candle.State != CandleStates.Finished)
return;
if (!_slowMa.IsFormed || !_fastMa.IsFormed)
return;
// Reproduce cross checks from the MQL version.
var crossDown = _prevSlow > _prevFast && slow < fast;
var crossUp = _prevSlow < _prevFast && slow > fast;
_prevSlow = slow;
_prevFast = fast;
if (crossUp)
{
_pendingBuySignal = true;
_pendingSellSignal = false;
}
else if (crossDown)
{
_pendingSellSignal = true;
_pendingBuySignal = false;
}
DispatchSignals();
}
private void DispatchSignals()
{
if (_pendingBuySignal)
{
ExecuteTrade(Sides.Buy);
_pendingBuySignal = false;
_pendingSellSignal = false;
}
else if (_pendingSellSignal)
{
ExecuteTrade(Sides.Sell);
_pendingSellSignal = false;
_pendingBuySignal = false;
}
}
private void ExecuteTrade(Sides side)
{
var volume = GetOrderVolume();
if (volume <= 0)
return;
if (side == Sides.Buy)
BuyMarket(volume);
else
SellMarket(volume);
}
private decimal GetOrderVolume()
{
if (!UseMartingale)
return BaseVolume;
if (!_lastTradeLoss)
return BaseVolume;
var nextVolume = _lastClosedVolume * MartingaleMultiplier;
return nextVolume > MaximumVolume ? BaseVolume : nextVolume;
}
private int GetZigZagDepth(TermLevels level)
{
return level switch
{
TermLevels.ShortTerm => 12,
TermLevels.MediumTerm => 24,
_ => 48,
};
}
private decimal GetPriceStep()
{
return Security?.PriceStep ?? 1m;
}
/// <inheritdoc />
protected override void OnOwnTradeReceived(MyTrade trade)
{
if (trade?.Order == null)
return;
var side = trade.Order.Side;
var volume = trade.Trade.Volume;
var price = trade.Trade.Price;
var previousPosition = _trackedPosition;
if (side == Sides.Buy)
{
if (previousPosition >= 0)
{
// Building or creating a long position.
var newPosition = previousPosition + volume;
_averageEntryPrice = newPosition == 0m
? 0m
: (_averageEntryPrice * previousPosition + price * volume) / newPosition;
_trackedPosition = newPosition;
}
else
{
// Closing part or all of a short position.
var closingVolume = Math.Min(volume, Math.Abs(previousPosition));
var profit = (_averageEntryPrice - price) * closingVolume;
var remaining = previousPosition + volume;
if (remaining >= 0m)
{
RegisterClosedTrade(closingVolume, profit);
if (remaining > 0m)
{
// Flip into a new long position with leftover quantity.
_trackedPosition = remaining;
_averageEntryPrice = price;
}
else
{
_trackedPosition = 0m;
_averageEntryPrice = 0m;
}
}
else
{
_trackedPosition = remaining;
// Average price of the remaining short stays unchanged.
}
}
}
else
{
if (previousPosition <= 0)
{
// Building or creating a short position.
var newPosition = previousPosition - volume;
var absPrev = Math.Abs(previousPosition);
var absNew = Math.Abs(newPosition);
_averageEntryPrice = absNew == 0m
? 0m
: (_averageEntryPrice * absPrev + price * volume) / absNew;
_trackedPosition = newPosition;
}
else
{
// Closing part or all of a long position.
var closingVolume = Math.Min(volume, previousPosition);
var profit = (price - _averageEntryPrice) * closingVolume;
var remaining = previousPosition - volume;
if (remaining <= 0m)
{
RegisterClosedTrade(closingVolume, profit);
if (remaining < 0m)
{
_trackedPosition = remaining;
_averageEntryPrice = price;
}
else
{
_trackedPosition = 0m;
_averageEntryPrice = 0m;
}
}
else
{
_trackedPosition = remaining;
// Average entry price is preserved for the reduced long position.
}
}
}
}
private void RegisterClosedTrade(decimal volume, decimal profit)
{
_lastClosedVolume = volume;
_lastTradeLoss = profit < 0m;
}
}
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, Unit, UnitTypes
from StockSharp.Algo.Indicators import (
Highest, Lowest, SmoothedMovingAverage, SimpleMovingAverage
)
from StockSharp.Algo.Strategies import Strategy
class expert_zzlwa_strategy(Strategy):
def __init__(self):
super(expert_zzlwa_strategy, self).__init__()
self._stop_loss_points = self.Param("StopLossPoints", 600)
self._take_profit_points = self.Param("TakeProfitPoints", 700)
self._base_volume = self.Param("BaseVolume", 0.01)
self._use_martingale = self.Param("UseMartingale", False)
self._martingale_multiplier = self.Param("MartingaleMultiplier", 2.0)
self._maximum_volume = self.Param("MaximumVolume", 10.0)
self._mode = self.Param("Mode", 2)
self._term_level = self.Param("ZigZagTerm", 2)
self._slow_ma_period = self.Param("SlowMaPeriod", 150)
self._fast_ma_period = self.Param("FastMaPeriod", 10)
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1)))
self._highest = None
self._lowest = None
self._slow_ma = None
self._fast_ma = None
self._pending_buy = False
self._pending_sell = False
self._original_buy_ready = True
self._original_sell_ready = True
self._zigzag_direction = 0
self._prev_slow = 0.0
self._prev_fast = 0.0
self._last_closed_volume = 0.01
self._last_trade_loss = False
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
@property
def StopLossPoints(self):
return self._stop_loss_points.Value
@property
def TakeProfitPoints(self):
return self._take_profit_points.Value
@property
def BaseVolume(self):
return self._base_volume.Value
@property
def UseMartingale(self):
return self._use_martingale.Value
@property
def MartingaleMultiplier(self):
return self._martingale_multiplier.Value
@property
def MaximumVolume(self):
return self._maximum_volume.Value
@property
def Mode(self):
return self._mode.Value
@property
def ZigZagTerm(self):
return self._term_level.Value
@property
def SlowMaPeriod(self):
return self._slow_ma_period.Value
@property
def FastMaPeriod(self):
return self._fast_ma_period.Value
def OnStarted2(self, time):
super(expert_zzlwa_strategy, self).OnStarted2(time)
step = self._get_price_step()
self.StartProtection(
Unit(self.TakeProfitPoints * step, UnitTypes.Absolute),
Unit(self.StopLossPoints * step, UnitTypes.Absolute))
self._original_buy_ready = True
self._original_sell_ready = True
self._pending_buy = False
self._pending_sell = False
self._last_closed_volume = self.BaseVolume
self._last_trade_loss = False
subscription = self.SubscribeCandles(self.CandleType)
if self.Mode == 0:
subscription.Bind(self._process_original).Start()
elif self.Mode == 1:
depth = self._get_zigzag_depth()
self._highest = Highest()
self._highest.Length = depth
self._lowest = Lowest()
self._lowest.Length = depth
subscription.Bind(self._highest, self._lowest, self._process_addition).Start()
else:
self._slow_ma = SmoothedMovingAverage()
self._slow_ma.Length = self.SlowMaPeriod
self._fast_ma = SimpleMovingAverage()
self._fast_ma.Length = self.FastMaPeriod
subscription.Bind(self._slow_ma, self._fast_ma, self._process_ma).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
if self.Mode == 1 and self._highest is not None:
self.DrawIndicator(area, self._highest)
self.DrawIndicator(area, self._lowest)
elif self.Mode == 2 and self._slow_ma is not None:
self.DrawIndicator(area, self._slow_ma)
self.DrawIndicator(area, self._fast_ma)
self.DrawOwnTrades(area)
def _process_original(self, candle):
if candle.State != CandleStates.Finished:
return
if self.Position == 0:
if self._original_buy_ready:
self._execute_trade(True)
self._original_buy_ready = False
self._original_sell_ready = True
elif self._original_sell_ready:
self._execute_trade(False)
self._original_sell_ready = False
self._original_buy_ready = True
def _process_addition(self, candle, highest, lowest):
if candle.State != CandleStates.Finished:
return
if not self._highest.IsFormed or not self._lowest.IsFormed:
return
hv = float(highest)
lv = float(lowest)
if float(candle.HighPrice) >= hv and self._zigzag_direction != 1:
self._pending_sell = True
self._pending_buy = False
self._zigzag_direction = 1
elif float(candle.LowPrice) <= lv and self._zigzag_direction != -1:
self._pending_buy = True
self._pending_sell = False
self._zigzag_direction = -1
self._dispatch_signals()
def _process_ma(self, candle, slow, fast):
if candle.State != CandleStates.Finished:
return
if not self._slow_ma.IsFormed or not self._fast_ma.IsFormed:
return
sv = float(slow)
fv = float(fast)
cross_down = self._prev_slow > self._prev_fast and sv < fv
cross_up = self._prev_slow < self._prev_fast and sv > fv
self._prev_slow = sv
self._prev_fast = fv
if cross_up:
self._pending_buy = True
self._pending_sell = False
elif cross_down:
self._pending_sell = True
self._pending_buy = False
self._dispatch_signals()
def _dispatch_signals(self):
if self._pending_buy:
self._execute_trade(True)
self._pending_buy = False
self._pending_sell = False
elif self._pending_sell:
self._execute_trade(False)
self._pending_sell = False
self._pending_buy = False
def _execute_trade(self, is_buy):
vol = self._get_order_volume()
if vol <= 0:
return
if is_buy:
self.BuyMarket()
else:
self.SellMarket()
def _get_order_volume(self):
if not self.UseMartingale:
return self.BaseVolume
if not self._last_trade_loss:
return self.BaseVolume
nv = self._last_closed_volume * self.MartingaleMultiplier
return nv if nv <= self.MaximumVolume else self.BaseVolume
def _get_zigzag_depth(self):
if self.ZigZagTerm == 0:
return 12
elif self.ZigZagTerm == 1:
return 24
return 48
def _get_price_step(self):
sec = self.Security
return float(sec.PriceStep) if sec is not None and sec.PriceStep is not None else 1.0
def OnReseted(self):
super(expert_zzlwa_strategy, self).OnReseted()
self._highest = None
self._lowest = None
self._slow_ma = None
self._fast_ma = None
self._pending_buy = False
self._pending_sell = False
self._original_buy_ready = True
self._original_sell_ready = True
self._zigzag_direction = 0
self._prev_slow = 0.0
self._prev_fast = 0.0
self._last_closed_volume = self.BaseVolume
self._last_trade_loss = False
def CreateClone(self):
return expert_zzlwa_strategy()