移动平均持仓系统策略
概述
移动平均持仓系统是 MetaTrader 4 指标专家 "MovingAveragePositionSystem.mq4" 的移植版本。策略监控一条长周期移动平均线,只在蜡烛完全收盘后根据价格与均线的交叉动作进行交易。它支持手动设定手数,并可选择启用类似马丁格尔的仓位管理逻辑,根据以 MetaTrader 点数表示的盈亏累计结果调整交易量。
交易逻辑
- 信号判定
- 计算可配置的移动平均线(简单、指数、平滑或线性加权)。
- 当最新收盘蜡烛的收盘价穿越移动平均线并与上一根蜡烛的方向相反时,策略开仓。
- 每个方向只允许一笔仓位:已有多头时不会再次买入,已有空头时不会再次卖出。
- 持仓管理
- 如果新收盘的蜡烛在均线下方且当前持有多头,则立即市价平仓。
- 如果蜡烛在均线上方且当前持有空头,则立即平掉空头。
- 可以通过参数启用按点数计算的固定止盈;止损逻辑由均线反向穿越负责。
- 资金管理
- 启用马丁格尔模块后,策略会统计当前交易周期内的已实现盈亏和浮动亏损(仅记录亏损),单位为 MetaTrader 点。
- 当累计亏损超过设定阈值时,下一次交易手数加倍(永远不超过最大手数),并平掉所有持仓。
- 当累计盈利超过设定目标时,手数重置为初始值,并平掉持仓以锁定利润。
参数说明
| 参数 | 说明 |
|---|---|
| MaType | 移动平均类型:Simple、Exponential、Smoothed 或 LinearWeighted,对应原策略的 TypeMA。 |
| MaPeriod | 移动平均计算周期(默认 240)。 |
| MaShift | 移动平均的前移位数,对应 SdvigMA。 |
| CandleType | 计算所使用的蜡烛类型,默认使用 1 小时蜡烛。 |
| InitialVolume | 启动时的手数,对应 Lots。 |
| StartVolume | 盈利后重置的基础手数(StarLots)。 |
| MaxVolume | 允许的最大手数(MaxLots),超过时会自动减半。 |
| LossThresholdPips | 亏损阈值(点),达到后触发加倍 (LossPips)。 |
| ProfitThresholdPips | 盈利阈值(点),达到后恢复基础手数 (ProfitPips)。 |
| TakeProfitPips | 固定止盈距离(点),对应 TakeProfit。 |
| UseMoneyManagement | 是否启用马丁格尔式资金管理 (MM)。 |
使用建议
- 使用与原始 MetaTrader 设置相同的交易品种和周期。240 周期与 1 小时时间框架组合能复现默认行为。
- 点值阈值依赖于证券的
PriceStep与StepPrice配置,如无该信息需要手动调整参数。 - 原代码每次下单前都会检查保证金,移植版本采用简化处理:当当前手数超过
MaxVolume时自动减半。若需更多风险控制,可结合 StockSharp 内建的风险管理组件。 - 策略仅在蜡烛收盘时做出决策,与 MQL 中基于
Close[1]与Close[2]的逻辑保持一致。
文件列表
CS/MovingAveragePositionSystemStrategy.cs– 使用 StockSharp 高级策略 API 的 C# 实现。README.md– 英文文档。README_ru.md– 俄文文档。README_zh.md– 中文文档(本文件)。
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;
using StockSharp.Algo;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Port of the FORTRADER MovingAveragePositionSystem expert advisor.
/// The strategy opens or closes positions on moving average crossings and optionally applies
/// a martingale-like position sizing routine based on cumulative results expressed in MetaTrader points.
/// </summary>
public class MovingAveragePositionSystemStrategy : Strategy
{
/// <summary>
/// Moving average calculation mode.
/// </summary>
public enum MovingAverageModes
{
Simple,
Exponential,
Smoothed,
LinearWeighted,
}
private readonly StrategyParam<MovingAverageModes> _maType;
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<int> _maShift;
private readonly StrategyParam<decimal> _initialVolume;
private readonly StrategyParam<decimal> _startVolume;
private readonly StrategyParam<decimal> _maxVolume;
private readonly StrategyParam<decimal> _lossThresholdPips;
private readonly StrategyParam<decimal> _profitThresholdPips;
private readonly StrategyParam<decimal> _takeProfitPips;
private readonly StrategyParam<bool> _useMoneyManagement;
private readonly StrategyParam<DataType> _candleType;
private readonly List<decimal> _closeHistory = new();
private readonly List<decimal> _maHistory = new();
private decimal _currentVolume;
private decimal _cycleStartRealizedPnL;
private decimal _priceStep;
private decimal _stepPrice;
private decimal _entryPrice;
/// <summary>
/// Moving average type used for signal calculation.
/// </summary>
public MovingAverageModes MaType
{
get => _maType.Value;
set => _maType.Value = value;
}
/// <summary>
/// Moving average length.
/// </summary>
public int MaPeriod
{
get => _maPeriod.Value;
set => _maPeriod.Value = value;
}
/// <summary>
/// Forward shift applied to the moving average before generating signals.
/// </summary>
public int MaShift
{
get => _maShift.Value;
set => _maShift.Value = value;
}
/// <summary>
/// Candle type used by the strategy.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initial lot size before the martingale routine modifies it.
/// </summary>
public decimal InitialVolume
{
get => _initialVolume.Value;
set => _initialVolume.Value = value;
}
/// <summary>
/// Base lot size restored after profitable cycles.
/// </summary>
public decimal StartVolume
{
get => _startVolume.Value;
set => _startVolume.Value = value;
}
/// <summary>
/// Maximum allowed lot size.
/// </summary>
public decimal MaxVolume
{
get => _maxVolume.Value;
set => _maxVolume.Value = value;
}
/// <summary>
/// Loss threshold in MetaTrader points that doubles the next trade volume.
/// </summary>
public decimal LossThresholdPips
{
get => _lossThresholdPips.Value;
set => _lossThresholdPips.Value = value;
}
/// <summary>
/// Profit target in MetaTrader points that resets the volume to the starting lot.
/// </summary>
public decimal ProfitThresholdPips
{
get => _profitThresholdPips.Value;
set => _profitThresholdPips.Value = value;
}
/// <summary>
/// Fixed take profit distance in MetaTrader points.
/// </summary>
public decimal TakeProfitPips
{
get => _takeProfitPips.Value;
set => _takeProfitPips.Value = value;
}
/// <summary>
/// Enables the martingale-style money management block.
/// </summary>
public bool UseMoneyManagement
{
get => _useMoneyManagement.Value;
set => _useMoneyManagement.Value = value;
}
/// <summary>
/// Initializes a new instance of the <see cref="MovingAveragePositionSystemStrategy"/> class.
/// </summary>
public MovingAveragePositionSystemStrategy()
{
_maType = Param(nameof(MaType), MovingAverageModes.LinearWeighted)
.SetDisplay("MA Type", "Moving average method", "Indicators");
_maPeriod = Param(nameof(MaPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("MA Period", "Moving average length", "Indicators");
_maShift = Param(nameof(MaShift), 0)
.SetRange(0, 100)
.SetDisplay("MA Shift", "Forward shift for the moving average", "Indicators");
_initialVolume = Param(nameof(InitialVolume), 0.1m)
.SetGreaterThanZero()
.SetDisplay("Initial Volume", "Starting lot size", "Trading");
_startVolume = Param(nameof(StartVolume), 0.1m)
.SetGreaterThanZero()
.SetDisplay("Start Volume", "Base lot restored after profits", "Trading");
_maxVolume = Param(nameof(MaxVolume), 10m)
.SetGreaterThanZero()
.SetDisplay("Max Volume", "Maximum allowed lot size", "Trading");
_lossThresholdPips = Param(nameof(LossThresholdPips), 90m)
.SetGreaterThanZero()
.SetDisplay("Loss Threshold (pts)", "Loss in points that doubles the lot", "Risk");
_profitThresholdPips = Param(nameof(ProfitThresholdPips), 170m)
.SetGreaterThanZero()
.SetDisplay("Profit Target (pts)", "Profit in points that resets the lot", "Risk");
_takeProfitPips = Param(nameof(TakeProfitPips), 1000m)
.SetNotNegative()
.SetDisplay("Take Profit (pts)", "Fixed take profit distance", "Risk");
_useMoneyManagement = Param(nameof(UseMoneyManagement), true)
.SetDisplay("Use Money Management", "Enable martingale volume control", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candles used for calculations", "Market Data");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_closeHistory.Clear();
_maHistory.Clear();
_currentVolume = InitialVolume;
Volume = _currentVolume;
_cycleStartRealizedPnL = PnLManager?.RealizedPnL ?? 0m;
_priceStep = 0m;
_stepPrice = 0m;
_entryPrice = 0m;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
_currentVolume = InitialVolume;
Volume = _currentVolume;
_cycleStartRealizedPnL = PnLManager?.RealizedPnL ?? 0m;
_priceStep = Security?.PriceStep ?? 1m;
_stepPrice = _priceStep;
var movingAverage = CreateMovingAverage();
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(movingAverage, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, movingAverage);
DrawOwnTrades(area);
}
var takeProfitUnit = TakeProfitPips > 0m ? new Unit(TakeProfitPips, UnitTypes.Absolute) : null;
StartProtection(takeProfitUnit, null);
base.OnStarted2(time);
}
private DecimalLengthIndicator CreateMovingAverage()
{
return MaType switch
{
MovingAverageModes.Exponential => new EMA { Length = MaPeriod },
MovingAverageModes.Smoothed => new SmoothedMovingAverage { Length = MaPeriod },
MovingAverageModes.LinearWeighted => new WeightedMovingAverage { Length = MaPeriod },
_ => new SMA { Length = MaPeriod },
};
}
private void ProcessCandle(ICandleMessage candle, decimal maValue)
{
// Work only with finished candles to reproduce the MQL4 behaviour.
if (candle.State != CandleStates.Finished)
return;
var canTrade = IsFormedAndOnlineAndAllowTrading();
var previousClose = _closeHistory.Count >= 1 ? _closeHistory[^1] : (decimal?)null;
var previousPreviousClose = _closeHistory.Count >= 2 ? _closeHistory[^2] : (decimal?)null;
decimal? shiftedMa = null;
if (_maHistory.Count > MaShift)
{
var index = _maHistory.Count - 1 - MaShift;
if (index >= 0)
shiftedMa = _maHistory[index];
}
if (previousClose.HasValue && previousPreviousClose.HasValue && shiftedMa.HasValue)
{
// Manage existing positions based on the opposite crossing.
ManageOpenPosition(previousClose.Value, shiftedMa.Value);
// Update the working volume according to the martingale routine.
UpdateVolume(previousClose.Value, shiftedMa.Value);
if (canTrade)
{
TryEnter(previousClose.Value, previousPreviousClose.Value, shiftedMa.Value);
}
}
// Store the latest values for the next iteration.
_closeHistory.Add(candle.ClosePrice);
_maHistory.Add(maValue);
}
private void ManageOpenPosition(decimal previousClose, decimal shiftedMa)
{
// Close long positions when the latest closed candle falls back below the moving average.
if (Position > 0 && previousClose < shiftedMa)
{
if (Position > 0) SellMarket(Position); else if (Position < 0) BuyMarket(Math.Abs(Position));
return;
}
// Close short positions when the latest closed candle climbs back above the average.
if (Position < 0 && previousClose > shiftedMa)
{
if (Position > 0) SellMarket(Position); else if (Position < 0) BuyMarket(Math.Abs(Position));
}
}
private void UpdateVolume(decimal previousClose, decimal shiftedMa)
{
if (!UseMoneyManagement)
return;
var realizedPnL = PnLManager?.RealizedPnL ?? 0m;
var realizedDiff = realizedPnL - _cycleStartRealizedPnL;
var stepPrice = _stepPrice != 0m ? _stepPrice : GetSecurityValue<decimal?>(Level1Fields.StepPrice) ?? 1m;
var priceStep = _priceStep != 0m ? _priceStep : Security?.PriceStep ?? 1m;
var resultInSteps = stepPrice != 0m ? realizedDiff / stepPrice : 0m;
if (Position != 0 && priceStep > 0m && _entryPrice > 0m)
{
// Consider only floating losses as in the original script.
var diff = Position > 0
? previousClose - _entryPrice
: _entryPrice - previousClose;
if (diff < 0m)
{
resultInSteps += diff / priceStep;
}
}
if (resultInSteps <= -LossThresholdPips)
{
// Double the lot size while keeping it within the maximum allowed range.
var newVolume = Math.Min(_currentVolume * 2m, MaxVolume);
if (newVolume > 0m)
{
_currentVolume = newVolume;
NormalizeVolume();
Volume = _currentVolume;
}
if (Position != 0)
{
if (Position > 0) SellMarket(Position); else if (Position < 0) BuyMarket(Math.Abs(Position));
}
_cycleStartRealizedPnL = realizedPnL;
}
else if (resultInSteps >= ProfitThresholdPips)
{
// Reset the lot size to the configured starting volume and lock in profits.
_currentVolume = StartVolume;
NormalizeVolume();
Volume = _currentVolume;
if (Position != 0)
{
if (Position > 0) SellMarket(Position); else if (Position < 0) BuyMarket(Math.Abs(Position));
}
_cycleStartRealizedPnL = realizedPnL;
}
else
{
NormalizeVolume();
}
}
private void TryEnter(decimal previousClose, decimal previousPreviousClose, decimal shiftedMa)
{
NormalizeVolume();
if (_currentVolume <= 0m)
return;
// Detect upward crossing: price moved from below the moving average to above it.
var crossedUp = previousClose > shiftedMa && previousPreviousClose < shiftedMa;
if (crossedUp && Position <= 0)
{
BuyMarket(_currentVolume);
return;
}
// Detect downward crossing: price moved from above the moving average to below it.
var crossedDown = previousClose < shiftedMa && previousPreviousClose > shiftedMa;
if (crossedDown && Position >= 0)
{
SellMarket(_currentVolume);
}
}
/// <inheritdoc />
protected override void OnOwnTradeReceived(MyTrade trade)
{
base.OnOwnTradeReceived(trade);
if (Position != 0 && _entryPrice == 0m)
_entryPrice = trade.Trade.Price;
if (Position == 0m)
_entryPrice = 0m;
}
private void NormalizeVolume()
{
// Reduce the working lot if it exceeds the maximum allowed size.
while (_currentVolume > MaxVolume && _currentVolume > 0m)
{
_currentVolume /= 2m;
}
if (Portfolio is not null)
{
var portfolioValue = Portfolio.CurrentValue ?? Portfolio.BeginValue ?? 0m;
var marginThreshold = 1000m * _currentVolume;
while (_currentVolume > 0m && portfolioValue < marginThreshold)
{
_currentVolume /= 2m;
marginThreshold = 1000m * _currentVolume;
}
}
if (_currentVolume < 0m)
{
_currentVolume = 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, Math
from StockSharp.Messages import DataType, CandleStates, UnitTypes, Unit
from StockSharp.Algo.Strategies import Strategy
from StockSharp.Algo.Indicators import (
SimpleMovingAverage,
ExponentialMovingAverage,
SmoothedMovingAverage,
WeightedMovingAverage,
)
class moving_average_position_system_strategy(Strategy):
def __init__(self):
super(moving_average_position_system_strategy, self).__init__()
self._ma_period = self.Param("MaPeriod", 20) \
.SetDisplay("MA Period", "Moving average length", "Indicators")
self._ma_shift = self.Param("MaShift", 0) \
.SetDisplay("MA Shift", "Forward shift for the moving average", "Indicators")
self._initial_volume = self.Param("InitialVolume", 0.1) \
.SetDisplay("Initial Volume", "Starting lot size", "Trading")
self._start_volume = self.Param("StartVolume", 0.1) \
.SetDisplay("Start Volume", "Base lot restored after profits", "Trading")
self._max_volume = self.Param("MaxVolume", 10.0) \
.SetDisplay("Max Volume", "Maximum allowed lot size", "Trading")
self._loss_threshold_pips = self.Param("LossThresholdPips", 90.0) \
.SetDisplay("Loss Threshold (pts)", "Loss in points that doubles the lot", "Risk")
self._profit_threshold_pips = self.Param("ProfitThresholdPips", 170.0) \
.SetDisplay("Profit Target (pts)", "Profit in points that resets the lot", "Risk")
self._take_profit_pips = self.Param("TakeProfitPips", 1000.0) \
.SetDisplay("Take Profit (pts)", "Fixed take profit distance", "Risk")
self._use_money_management = self.Param("UseMoneyManagement", True) \
.SetDisplay("Use Money Management", "Enable martingale volume control", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candles used for calculations", "Market Data")
self._close_history = []
self._ma_history = []
self._current_volume = 0.1
self._cycle_start_realized_pnl = 0.0
self._price_step = 1.0
self._entry_price = 0.0
@property
def MaPeriod(self):
return self._ma_period.Value
@property
def MaShift(self):
return self._ma_shift.Value
@property
def InitialVolume(self):
return self._initial_volume.Value
@property
def StartVolume(self):
return self._start_volume.Value
@property
def MaxVolume(self):
return self._max_volume.Value
@property
def LossThresholdPips(self):
return self._loss_threshold_pips.Value
@property
def ProfitThresholdPips(self):
return self._profit_threshold_pips.Value
@property
def TakeProfitPips(self):
return self._take_profit_pips.Value
@property
def UseMoneyManagement(self):
return self._use_money_management.Value
@property
def CandleType(self):
return self._candle_type.Value
def OnStarted2(self, time):
super(moving_average_position_system_strategy, self).OnStarted2(time)
self._current_volume = float(self.InitialVolume)
self.Volume = self._current_volume
ps = self.Security.PriceStep if self.Security is not None else None
self._price_step = float(ps) if ps is not None else 1.0
ma = WeightedMovingAverage()
ma.Length = self.MaPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(ma, self.ProcessCandle).Start()
tp_pips = float(self.TakeProfitPips)
tp = Unit(tp_pips, UnitTypes.Absolute) if tp_pips > 0 else None
self.StartProtection(tp, None)
def ProcessCandle(self, candle, ma_value):
if candle.State != CandleStates.Finished:
return
ma_value = float(ma_value)
can_trade = self.IsFormedAndOnlineAndAllowTrading()
prev_close = self._close_history[-1] if len(self._close_history) >= 1 else None
prev_prev_close = self._close_history[-2] if len(self._close_history) >= 2 else None
shifted_ma = None
ma_shift = self.MaShift
if len(self._ma_history) > ma_shift:
idx = len(self._ma_history) - 1 - ma_shift
if idx >= 0:
shifted_ma = self._ma_history[idx]
if prev_close is not None and prev_prev_close is not None and shifted_ma is not None:
self._manage_open_position(prev_close, shifted_ma)
if can_trade:
self._try_enter(prev_close, prev_prev_close, shifted_ma)
self._close_history.append(float(candle.ClosePrice))
self._ma_history.append(ma_value)
def _manage_open_position(self, prev_close, shifted_ma):
if self.Position > 0 and prev_close < shifted_ma:
self.SellMarket(self.Position)
return
if self.Position < 0 and prev_close > shifted_ma:
self.BuyMarket(abs(self.Position))
def _try_enter(self, prev_close, prev_prev_close, shifted_ma):
if self._current_volume <= 0:
return
crossed_up = prev_close > shifted_ma and prev_prev_close < shifted_ma
if crossed_up and self.Position <= 0:
self.BuyMarket(self._current_volume)
return
crossed_down = prev_close < shifted_ma and prev_prev_close > shifted_ma
if crossed_down and self.Position >= 0:
self.SellMarket(self._current_volume)
def OnOwnTradeReceived(self, trade):
super(moving_average_position_system_strategy, self).OnOwnTradeReceived(trade)
if self.Position != 0 and self._entry_price == 0:
self._entry_price = float(trade.Trade.Price)
if self.Position == 0:
self._entry_price = 0.0
def OnReseted(self):
super(moving_average_position_system_strategy, self).OnReseted()
self._close_history = []
self._ma_history = []
self._current_volume = float(self.InitialVolume)
self._entry_price = 0.0
def CreateClone(self):
return moving_average_position_system_strategy()