MA平滑蜡烛策略
概述
该策略来源于MQL5专家顾问“MA Rounding Candle”。它对每根K线的开盘价和收盘价分别计算平滑移动平均线,并根据两条平均线的相对位置生成一根“合成蜡烛”。当平滑收盘价高于平滑开盘价时视为上涨蜡烛,反之则为下跌蜡烛,相等时为中性。上一根蜡烛的颜色与当前蜡烛不同则触发交易信号。
算法
- 对每根完成的K线的开盘价和收盘价分别计算给定周期的简单移动平均。
- 根据平滑值判断蜡烛颜色:
- 上涨蜡烛 – 平滑收盘价高于平滑开盘价。
- 下跌蜡烛 – 平滑收盘价低于平滑开盘价。
- 中性 – 两者相等。
- 若上一根蜡烛为上涨而当前蜡烛不是上涨,则开多单并平掉空单。
- 若上一根蜡烛为下跌而当前蜡烛不是下跌,则开空单并平掉多单。
参数
- MaLength – 平滑移动平均的周期,默认12。
- CandleType – 处理的K线时间框架。
说明
该策略展示了如何仅使用StockSharp内置工具复现自定义指标信号。策略没有设置止损或止盈,当出现反向信号时立即反向持仓。
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;
/// <summary>
/// MA Rounding Candle strategy.
/// Opens a long position when a smoothed candle is bullish and a short position when it is bearish.
/// </summary>
public class MaRoundingCandleStrategy : Strategy
{
private readonly StrategyParam<int> _maLength;
private readonly StrategyParam<DataType> _candleType;
private ExponentialMovingAverage _openMa;
private ExponentialMovingAverage _closeMa;
private int _prevColor = 1;
public MaRoundingCandleStrategy()
{
_maLength = Param(nameof(MaLength), 12)
.SetDisplay("MA Length", "Moving average length", "Parameters");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame());
}
public int MaLength { get => _maLength.Value; set => _maLength.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_openMa = default;
_closeMa = default;
_prevColor = 1;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_openMa = new ExponentialMovingAverage { Length = MaLength };
_closeMa = new ExponentialMovingAverage { Length = MaLength };
Indicators.Add(_openMa);
Indicators.Add(_closeMa);
var subscription = SubscribeCandles(CandleType);
subscription.Bind(ProcessCandle).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _openMa);
DrawIndicator(area, _closeMa);
DrawOwnTrades(area);
}
StartProtection(null, null);
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
var openVal = _openMa.Process(candle.OpenPrice, candle.OpenTime, true).ToDecimal();
var closeVal = _closeMa.Process(candle.ClosePrice, candle.OpenTime, true).ToDecimal();
if (!_openMa.IsFormed || !_closeMa.IsFormed)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var color = openVal < closeVal ? 2 : openVal > closeVal ? 0 : 1;
if (_prevColor == 2 && color != 2 && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (_prevColor == 0 && color != 0 && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevColor = color;
}
}
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
from indicator_extensions import *
class ma_rounding_candle_strategy(Strategy):
def __init__(self):
super(ma_rounding_candle_strategy, self).__init__()
self._ma_length = self.Param("MaLength", 12) \
.SetDisplay("MA Length", "Moving average length", "Parameters")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4)))
self._open_ma = None
self._close_ma = None
self._prev_color = 1
@property
def ma_length(self):
return self._ma_length.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(ma_rounding_candle_strategy, self).OnReseted()
self._open_ma = None
self._close_ma = None
self._prev_color = 1
def OnStarted2(self, time):
super(ma_rounding_candle_strategy, self).OnStarted2(time)
self._open_ma = ExponentialMovingAverage()
self._open_ma.Length = self.ma_length
self._close_ma = ExponentialMovingAverage()
self._close_ma.Length = self.ma_length
self.Indicators.Add(self._open_ma)
self.Indicators.Add(self._close_ma)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self.process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._open_ma)
self.DrawIndicator(area, self._close_ma)
self.DrawOwnTrades(area)
def process_candle(self, candle):
if candle.State != CandleStates.Finished:
return
open_result = process_float(self._open_ma, candle.OpenPrice, candle.OpenTime, True)
close_result = process_float(self._close_ma, candle.ClosePrice, candle.OpenTime, True)
if not self._open_ma.IsFormed or not self._close_ma.IsFormed:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
open_val = float(open_result)
close_val = float(close_result)
if open_val < close_val:
color = 2
elif open_val > close_val:
color = 0
else:
color = 1
if self._prev_color == 2 and color != 2 and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif self._prev_color == 0 and color != 0 and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_color = color
def CreateClone(self):
return ma_rounding_candle_strategy()