Trade Channel ATR 策略
Trade Channel 策略复刻了原始的 MetaTrader 专家顾问:它基于价格通道交易,并使用 ATR 设置初始止损。策略等待通道上下边界保持不变,同时最新蜡烛触碰或反转这些位置。一旦触发条件成立,系统会在触碰方向的反向开仓,并使用以点数衡量的自适应跟踪止损保护浮盈。
该方法旨在把握稳定区间内的均值回归。当通道没有刷新新高或新低时才允许入场,从而过滤掉噪音。保护性止损放置在通道之外,距离等于平均真实波幅;若行情持续发展,可选的跟踪止损会逐步收紧仓位风险。
细节
- 入场条件:
- 做空:当前通道上轨与上一根保持一致,且最新蜡烛突破上轨或在上轨与枢轴价
(high + low + close) / 3之间收盘。 - 做多:当前通道下轨与上一根保持一致,且最新蜡烛跌破下轨或在下轨与枢轴价之间收盘。
- 做空:当前通道上轨与上一根保持一致,且最新蜡烛突破上轨或在上轨与枢轴价
- 方向:双向,但同一时间仅持有一个仓位。
- 出场条件:
- 多单:价格触及保持不变的通道上轨。
- 空单:价格触及保持不变的通道下轨。
- 当盈利超过
TrailingDistance点时,跟踪止损开始向市场价格靠拢。
- 止损:初始止损放在
通道边界 ± ATR,激活跟踪后由新的止损取代。 - 默认参数:
Volume= 0.1mChannelPeriod= 20AtrPeriod= 4TrailingDistance= 30CandleType= 30 分钟蜡烛
- 过滤信息:
- 类别:均值回归
- 方向:双向
- 指标:Highest、Lowest、Average True Range
- 止损:ATR 止损、跟踪止损
- 复杂度:中等
- 周期:日内(30 分钟)
- 季节性:无
- 神经网络:无
- 背离:无
- 风险等级:中等
备注
Volume控制下单手数;策略不会同时开多个仓位。TrailingDistance以最小价格波动单位表示,设置为 0 可关闭跟踪止损。- 运行前需要足够的历史蜡烛,为 Highest/Lowest 和 ATR 指标提供预热数据。
- 仓位关闭或策略复位时会自动撤销所有止损单。
using System;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
public class TradeChannelAtrStrategy : Strategy
{
private readonly StrategyParam<int> _channelPeriod;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<int> _cooldownCandles;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevClose;
private decimal _prevMid;
private bool _hasPrev;
private int _cooldownRemaining;
public int ChannelPeriod { get => _channelPeriod.Value; set => _channelPeriod.Value = value; }
public int AtrPeriod { get => _atrPeriod.Value; set => _atrPeriod.Value = value; }
public int CooldownCandles { get => _cooldownCandles.Value; set => _cooldownCandles.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public TradeChannelAtrStrategy()
{
_channelPeriod = Param(nameof(ChannelPeriod), 48).SetDisplay("Channel Period", "Channel lookback", "Indicators");
_atrPeriod = Param(nameof(AtrPeriod), 14).SetDisplay("ATR Period", "ATR lookback", "Indicators");
_cooldownCandles = Param(nameof(CooldownCandles), 150).SetDisplay("Cooldown", "Candles between signals", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame()).SetDisplay("Candle Type", "Candle timeframe", "General");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevClose = default;
_prevMid = default;
_hasPrev = default;
_cooldownRemaining = default;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevClose = 0;
_prevMid = 0;
_hasPrev = false;
_cooldownRemaining = 0;
var highest = new Highest { Length = ChannelPeriod };
var lowest = new Lowest { Length = ChannelPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(highest, lowest, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal highest, decimal lowest)
{
if (candle.State != CandleStates.Finished) return;
var close = candle.ClosePrice;
var mid = (highest + lowest) / 2;
if (!_hasPrev) { _prevClose = close; _prevMid = mid; _hasPrev = true; return; }
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_prevClose = close;
_prevMid = mid;
return;
}
if (_prevClose <= _prevMid && close > mid && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
_cooldownRemaining = CooldownCandles;
}
else if (_prevClose >= _prevMid && close < mid && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
_cooldownRemaining = CooldownCandles;
}
_prevClose = close;
_prevMid = mid;
}
}
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 Highest, Lowest
from StockSharp.Algo.Strategies import Strategy
class trade_channel_atr_strategy(Strategy):
def __init__(self):
super(trade_channel_atr_strategy, self).__init__()
self._channel_period = self.Param("ChannelPeriod", 48) \
.SetDisplay("Channel Period", "Channel lookback", "Indicators")
self._cooldown_candles = self.Param("CooldownCandles", 150) \
.SetDisplay("Cooldown", "Candles between signals", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Candle timeframe", "General")
self._prev_close = 0.0
self._prev_mid = 0.0
self._has_prev = False
self._cooldown_remaining = 0
@property
def channel_period(self):
return self._channel_period.Value
@property
def cooldown_candles(self):
return self._cooldown_candles.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(trade_channel_atr_strategy, self).OnReseted()
self._prev_close = 0.0
self._prev_mid = 0.0
self._has_prev = False
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(trade_channel_atr_strategy, self).OnStarted2(time)
self._prev_close = 0.0
self._prev_mid = 0.0
self._has_prev = False
self._cooldown_remaining = 0
highest = Highest()
highest.Length = self.channel_period
lowest = Lowest()
lowest.Length = self.channel_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(highest, lowest, self.process_candle).Start()
def process_candle(self, candle, highest, lowest):
if candle.State != CandleStates.Finished:
return
close = float(candle.ClosePrice)
mid = (float(highest) + float(lowest)) / 2.0
if not self._has_prev:
self._prev_close = close
self._prev_mid = mid
self._has_prev = True
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
self._prev_close = close
self._prev_mid = mid
return
if self._prev_close <= self._prev_mid and close > mid and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._cooldown_remaining = self.cooldown_candles
elif self._prev_close >= self._prev_mid and close < mid and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._cooldown_remaining = self.cooldown_candles
self._prev_close = close
self._prev_mid = mid
def CreateClone(self):
return trade_channel_atr_strategy()