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三根典型价格蜡烛策略
概述
三根典型价格蜡烛策略 在 StockSharp 高级 API 中重现了 MetaTrader 的 "Three Typical Candles" 专家顾问。策略对每根已完成蜡烛的典型价格(高、低、收盘价的平均值)进行跟踪,只要最近三根蜡烛的典型价格呈现严格单调的上升或下降序列,就会入场交易。
此移植版本最大限度地保持了原始 MQL5 代码的特征:
- 信号只在蜡烛收盘时评估一次,避免了盘中噪声。
- 可配置的交易时段过滤器能够限制策略仅在指定的小时段内运行,并在禁止交易时强制平仓。
- 开仓前始终平掉相反方向的持仓,保证账户在任何时刻仅持有一个方向。
- 订单体量沿用固定手数模式,同时遵循交易所的最小手数、最大手数以及成交量步长要求。
交易规则
- 信号识别
- 对每根已完成的蜡烛计算典型价格
Tp = (High + Low + Close) / 3。
- 保存前两根蜡烛的典型价格。当拥有三个数值时,检查是否形成严格的上升或下降序列。
- 做多条件
- 若
Tp[-2] < Tp[-1] < Tp[0](连续三根典型价格上升)且当前没有多头持仓,则先平掉空头,再市价买入。
- 做空条件
- 若
Tp[-2] > Tp[-1] > Tp[0](连续三根典型价格下降)且当前没有空头持仓,则先平掉多头,再市价卖出。
- 时间过滤
- 当启用
UseTimeControl 时,仅当蜡烛开盘时间落在 StartHour(含)和 EndHour(不含)之间才会评估信号。若时间超出窗口,策略会立即平仓并停止下单。若起止时间跨越午夜(StartHour > EndHour),交易窗口将覆盖晚间与次日清晨。
- 仓位管理
- 策略没有内置止盈或止损。风险控制需要通过外部保护策略或人工监控来实现。
参数说明
| 名称 |
类型 |
默认值 |
说明 |
Volume |
decimal |
1 |
固定下单手数。策略会自动按照交易品种的成交量步长四舍五入,并且不会突破最小/最大允许手数。 |
UseTimeControl |
bool |
true |
是否启用日内交易时间过滤。关闭后策略全天候评估信号。 |
StartHour |
int |
11 |
启用时间过滤时的开始小时(含,0-23)。 |
EndHour |
int |
17 |
启用时间过滤时的结束小时(不含,0-23)。若小于开始小时,则交易时段跨越午夜。 |
CandleType |
DataType |
TimeFrame(1h) |
用于分析的蜡烛类型,可根据数据源选择不同周期。 |
实现细节
- 策略通过
SubscribeCandles 订阅蜡烛,并在 ProcessCandle 中处理已完成的蜡烛数据。
- 发生反向信号时,会先调用
BuyMarket 或 SellMarket 平掉现有仓位,然后再根据新信号开仓。
- 在
OnStarted 中调用 StartProtection(),方便后续接入 StockSharp 的保护性组件(如全局止损/止盈)。
GetTradeVolume 方法负责模拟 MetaTrader 的手数规范化逻辑,使所下手数与交易所约束保持一致。
- 仅保存最近两根典型价格即可完成判断,无需维护额外的数据集合,执行效率高。
使用建议
- 适用于具有足够流动性的市场。原始 EA 面向外汇品种,但任何提供 OHLC 数据的市场都可尝试。
- 可以通过优化参数调整蜡烛周期,以匹配不同的交易节奏。默认的一小时蜡烛与原策略一致。
- 建议配合账户级别的风控方案,例如最大回撤限制或组合止损,以弥补策略缺少硬性止损的缺陷。
- 在正式部署前,应在多品种和多时间段上进行历史回测,验证三连单调典型价格是否具有统计优势。
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 ThreeTypicalCandlesStrategy : 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 ThreeTypicalCandlesStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 15).SetGreaterThanZero().SetDisplay("Fast Period", "Fast EMA period", "Indicator");
_slowPeriod = Param(nameof(SlowPeriod), 60).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 three_typical_candles_strategy(Strategy):
def __init__(self):
super(three_typical_candles_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 15) \
.SetDisplay("Fast Period", "Fast MA period", "Indicator")
self._slow_period = self.Param("SlowPeriod", 60) \
.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(three_typical_candles_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(three_typical_candles_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 three_typical_candles_strategy()