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Heikin Ashi Trader 策略
该策略将 MetaTrader 4 专家顾问 “Heikin Ashi Trader” 移植到 StockSharp。原版 EA 的多指标确认流程被完整保留,并通过高级的蜡烛订阅 API 实现,因此所有决策都基于已完成的 K 线。
细节
- 指标组合:
- 在工作周期上计算的 Heikin-Ashi 蜡烛。
- 使用典型价格的两条线性加权移动平均线(LWMA)。
- 参数可调的随机指标
%K/%D/Smooth。
- 以 100 为中枢的 Momentum 指标。
- MACD。
- 入场条件:
- 做多:最新 Heikin-Ashi 蜡烛为阳线;最近三次随机指标中至少一次高于超买线;快 LWMA 高于慢 LWMA;Momentum 与 100 的差值大于做多阈值;MACD 主线高于信号线。
- 做空:相反条件——Heikin-Ashi 阴线,随机指标低于超卖线,快线低于慢线,Momentum 差值大于做空阈值,MACD 主线低于信号线。
- 可选地在入场前平掉反向仓位(
CloseOppositePositions)。
- 仓位管理:
- 按点数设置的固定止损、止盈(基于标的的最小报价步长换算)。
TrailingStopPips 定义的可选追踪止损。
- Break-even 模块:当利润达到
BreakEvenTriggerPips 时,将止损移动到 入场价 ± BreakEvenOffsetPips。
ForceExit 允许在下一根 K 线上强制平仓。
- 与 MT4 原版的差异:
- 原策略在更高周期计算 Momentum。为了保持高阶 API 的一致性,本移植在主周期上运行所有指标,并保留可调阈值以调整灵敏度。
- MT4 代码中的资金止盈/止损功能未迁移,风险控制由价格止损与 Break-even 负责。
参数
| 名称 |
说明 |
CandleType |
用于所有计算和交易决策的蜡烛类型或时间框架。 |
FastMaPeriod, SlowMaPeriod |
典型价格 LWMA 的快、慢周期。 |
StochasticKPeriod, StochasticDPeriod, StochasticSlowing |
随机指标的 %K/%D 以及平滑参数。 |
StochasticOverbought, StochasticOversold |
最近三次随机指标需要达到的超买/超卖阈值。 |
MomentumPeriod |
Momentum 指标长度。 |
MomentumBuyThreshold, MomentumSellThreshold |
多/空方向 Momentum 偏离 100 的最小值。 |
MacdFastPeriod, MacdSlowPeriod, MacdSignalPeriod |
MACD 设置。 |
CloseOppositePositions |
入场前是否平掉反向仓位。 |
MaxPositions |
每个方向的最大净仓(0 表示不限)。 |
TradeVolume |
每次下单的手数,同时会写入策略的 Volume。 |
UseStopLoss, StopLossPips |
是否启用止损及其点数。 |
UseTakeProfit, TakeProfitPips |
是否启用止盈及其点数。 |
UseTrailingStop, TrailingStopPips |
追踪止损开关及距离。 |
UseBreakEven, BreakEvenTriggerPips, BreakEvenOffsetPips |
Break-even 启动阈值与偏移。 |
ForceExit |
设为 true 时下一根 K 线直接平仓。 |
实现说明
- 通过
SubscribeCandles().BindEx(...) 绑定指标,避免直接访问 GetValue(),并确保使用完成的蜡烛数据。
- 点值转换基于
PriceStep。若标的存在“半点”报价,请在证券设置中配置正确的步长。
- 追踪止损与 Break-even 仅向有利方向移动。每次平仓都会重置缓存的止损/止盈,保证新仓位使用最新的风险参数。
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 HeikinAshiTraderStrategy : 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 HeikinAshiTraderStrategy()
{
_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 heikin_ashi_trader_strategy(Strategy):
def __init__(self):
super(heikin_ashi_trader_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(heikin_ashi_trader_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(heikin_ashi_trader_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 heikin_ashi_trader_strategy()