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")
clr.AddReference("StockSharp.BusinessEntities")
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()