指数MA舍入通道策略
该策略将移动平均线按固定的跳动步长进行舍入,并在其周围构建基于ATR的通道。当上一根K线收于上轨上方时开多仓;当上一根K线收于下轨下方时开空仓。相反信号会平掉当前仓位。止损和止盈以跳动点表示并自动管理。
细节
- 入场条件:
- 多头:上一根K线收盘价高于上轨。
- 空头:上一根K线收盘价低于下轨。
- 出场条件:
- 多头:上一根K线收盘价低于下轨。
- 空头:上一根K线收盘价高于上轨。
- 指标:
- 指数移动平均线。
- 平均真实波幅用于通道宽度。
- 止损/止盈:是,固定跳动点止损和止盈。
- 默认参数:
MA 周期= 12。ATR 周期= 12。ATR 系数= 1。MA 舍入= 500 跳动点。止损= 1000 跳动点。止盈= 2000 跳动点。时间框架= 4 小时。
过滤器
- 类别:趋势跟随
- 方向:双向
- 指标:多个
- 止损:有
- 复杂度:中等
- 时间框架:中期
- 季节性:无
- 神经网络:无
- 背离:无
- 风险等级:中等
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>
/// Moving average rounding channel strategy.
/// Opens long positions when price closes above the rounded upper channel
/// and opens short positions when price closes below the rounded lower channel.
/// </summary>
public class ExpMaRoundingChannelStrategy : Strategy
{
private readonly StrategyParam<int> _maLength;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<decimal> _atrFactor;
private readonly StrategyParam<decimal> _roundStep;
private readonly StrategyParam<DataType> _candleType;
private AverageTrueRange _atr;
private decimal _prevUpper;
private decimal _prevLower;
private decimal _prevClose;
public int MaLength { get => _maLength.Value; set => _maLength.Value = value; }
public int AtrPeriod { get => _atrPeriod.Value; set => _atrPeriod.Value = value; }
public decimal AtrFactor { get => _atrFactor.Value; set => _atrFactor.Value = value; }
public decimal RoundStep { get => _roundStep.Value; set => _roundStep.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public ExpMaRoundingChannelStrategy()
{
_maLength = Param(nameof(MaLength), 12)
.SetGreaterThanZero()
.SetDisplay("MA Period", "Length of moving average", "Indicator");
_atrPeriod = Param(nameof(AtrPeriod), 12)
.SetGreaterThanZero()
.SetDisplay("ATR Period", "ATR period for channel width", "Indicator");
_atrFactor = Param(nameof(AtrFactor), 2m)
.SetDisplay("ATR Factor", "Multiplier for ATR channel", "Indicator");
_roundStep = Param(nameof(RoundStep), 50m)
.SetDisplay("Round Step", "Rounding step for the moving average", "Indicator");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Timeframe for calculation", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevClose = 0;
_prevUpper = 0;
_prevLower = 0;
var ema = new ExponentialMovingAverage { Length = MaLength };
_atr = new AverageTrueRange { Length = AtrPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ema, ProcessCandle)
.Start();
StartProtection(
takeProfit: new Unit(3, UnitTypes.Percent),
stopLoss: new Unit(2, UnitTypes.Percent));
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ema);
DrawOwnTrades(area);
}
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_atr = default;
_prevUpper = default;
_prevLower = default;
_prevClose = default;
}
private void ProcessCandle(ICandleMessage candle, decimal maValue)
{
if (candle.State != CandleStates.Finished)
return;
var atrResult = _atr.Process(candle);
if (!atrResult.IsFormed)
return;
var atrValue = atrResult.ToDecimal();
// Round the MA value
var step = RoundStep;
var roundedMa = step > 0 ? Math.Round(maValue / step) * step : maValue;
var upper = roundedMa + atrValue * AtrFactor;
var lower = roundedMa - atrValue * AtrFactor;
if (_prevClose != 0m)
{
var breakUp = _prevClose <= _prevUpper && candle.ClosePrice > upper;
var breakDown = _prevClose >= _prevLower && candle.ClosePrice < lower;
if (breakUp && Position == 0)
BuyMarket();
else if (breakDown && Position == 0)
SellMarket();
}
_prevUpper = upper;
_prevLower = lower;
_prevClose = candle.ClosePrice;
}
}
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, Unit, UnitTypes, CandleStates
from StockSharp.Algo.Indicators import ExponentialMovingAverage, AverageTrueRange, CandleIndicatorValue
from StockSharp.Algo.Strategies import Strategy
class exp_ma_rounding_channel_strategy(Strategy):
def __init__(self):
super(exp_ma_rounding_channel_strategy, self).__init__()
self._ma_length = self.Param("MaLength", 12) \
.SetDisplay("MA Period", "Length of moving average", "Indicator")
self._atr_period = self.Param("AtrPeriod", 12) \
.SetDisplay("ATR Period", "ATR period for channel width", "Indicator")
self._atr_factor = self.Param("AtrFactor", 2.0) \
.SetDisplay("ATR Factor", "Multiplier for ATR channel", "Indicator")
self._round_step = self.Param("RoundStep", 50.0) \
.SetDisplay("Round Step", "Rounding step for the moving average", "Indicator")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Timeframe for calculation", "General")
self._atr = None
self._prev_upper = 0.0
self._prev_lower = 0.0
self._prev_close = 0.0
@property
def MaLength(self):
return self._ma_length.Value
@MaLength.setter
def MaLength(self, value):
self._ma_length.Value = value
@property
def AtrPeriod(self):
return self._atr_period.Value
@AtrPeriod.setter
def AtrPeriod(self, value):
self._atr_period.Value = value
@property
def AtrFactor(self):
return self._atr_factor.Value
@AtrFactor.setter
def AtrFactor(self, value):
self._atr_factor.Value = value
@property
def RoundStep(self):
return self._round_step.Value
@RoundStep.setter
def RoundStep(self, value):
self._round_step.Value = value
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
def OnStarted2(self, time):
super(exp_ma_rounding_channel_strategy, self).OnStarted2(time)
self._prev_close = 0.0
self._prev_upper = 0.0
self._prev_lower = 0.0
ema = ExponentialMovingAverage()
ema.Length = self.MaLength
self._atr = AverageTrueRange()
self._atr.Length = self.AtrPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription \
.Bind(ema, self.ProcessCandle) \
.Start()
self.StartProtection(
takeProfit=Unit(3, UnitTypes.Percent),
stopLoss=Unit(2, UnitTypes.Percent))
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ema)
self.DrawOwnTrades(area)
def ProcessCandle(self, candle, ma_value):
if candle.State != CandleStates.Finished:
return
atr_result = self._atr.Process(CandleIndicatorValue(self._atr, candle))
if not atr_result.IsFormed:
return
atr_value = float(atr_result)
step = float(self.RoundStep)
ma_val = float(ma_value)
if step > 0:
rounded_ma = round(ma_val / step) * step
else:
rounded_ma = ma_val
upper = rounded_ma + atr_value * float(self.AtrFactor)
lower = rounded_ma - atr_value * float(self.AtrFactor)
if self._prev_close != 0.0:
close_price = float(candle.ClosePrice)
break_up = self._prev_close <= self._prev_upper and close_price > upper
break_down = self._prev_close >= self._prev_lower and close_price < lower
if break_up and self.Position == 0:
self.BuyMarket()
elif break_down and self.Position == 0:
self.SellMarket()
self._prev_upper = upper
self._prev_lower = lower
self._prev_close = float(candle.ClosePrice)
def OnReseted(self):
super(exp_ma_rounding_channel_strategy, self).OnReseted()
self._atr = None
self._prev_upper = 0.0
self._prev_lower = 0.0
self._prev_close = 0.0
def CreateClone(self):
return exp_ma_rounding_channel_strategy()