Adaptive Trend Flow策略
Adaptive Trend Flow策略基于典型价格的快慢EMA构建波动率通道。当价格突破通道边界时,内部趋势发生反转。趋势向上并且可选的SMA和MACD过滤条件满足时开多仓;当趋势转向下方时平掉仓位。
细节
- 入场条件:
- 趋势从下行转为上行且过滤器确认。
- 方向:仅做多。
- 出场条件:
- 趋势从上行转为下行。
- 止损:无。
- 默认参数:
Length= 2SmoothLength= 2Sensitivity= 2.0UseSmaFilter= trueSmaLength= 4UseMacdFilter= trueMacdFastLength= 2MacdSlowLength= 7MacdSignalLength= 2
- 过滤器:
- 类型:趋势跟随
- 方向:多头
- 指标:EMA、SMA、MACD、Standard Deviation
- 止损:无
- 复杂度:中等
- 时间框架:任意
- 季节性:否
- 神经网络:否
- 背离:否
- 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>
/// Adaptive Trend Flow Strategy.
/// Uses EMA crossover with volatility channel breakout for entries.
/// </summary>
public class AdaptiveTrendFlowStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _fastLength;
private readonly StrategyParam<int> _slowLength;
private readonly StrategyParam<int> _atrLength;
private readonly StrategyParam<decimal> _sensitivity;
private readonly StrategyParam<int> _cooldownBars;
private decimal _prevFast;
private decimal _prevSlow;
private int _cooldownRemaining;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int FastLength { get => _fastLength.Value; set => _fastLength.Value = value; }
public int SlowLength { get => _slowLength.Value; set => _slowLength.Value = value; }
public int AtrLength { get => _atrLength.Value; set => _atrLength.Value = value; }
public decimal Sensitivity { get => _sensitivity.Value; set => _sensitivity.Value = value; }
public int CooldownBars { get => _cooldownBars.Value; set => _cooldownBars.Value = value; }
public AdaptiveTrendFlowStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_fastLength = Param(nameof(FastLength), 10)
.SetGreaterThanZero()
.SetDisplay("Fast EMA Length", "Fast EMA period", "Trend");
_slowLength = Param(nameof(SlowLength), 30)
.SetGreaterThanZero()
.SetDisplay("Slow EMA Length", "Slow EMA period", "Trend");
_atrLength = Param(nameof(AtrLength), 14)
.SetGreaterThanZero()
.SetDisplay("ATR Length", "ATR period for volatility", "Trend");
_sensitivity = Param(nameof(Sensitivity), 1.5m)
.SetGreaterThanZero()
.SetDisplay("Sensitivity", "ATR multiplier for channel", "Trend");
_cooldownBars = Param(nameof(CooldownBars), 10)
.SetDisplay("Cooldown Bars", "Bars between trades", "Risk");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFast = 0;
_prevSlow = 0;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastEma = new ExponentialMovingAverage { Length = FastLength };
var slowEma = new ExponentialMovingAverage { Length = SlowLength };
var atr = new AverageTrueRange { Length = AtrLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fastEma, slowEma, atr, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fastEma);
DrawIndicator(area, slowEma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fastVal, decimal slowVal, decimal atrVal)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_prevFast == 0)
{
_prevFast = fastVal;
_prevSlow = slowVal;
return;
}
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_prevFast = fastVal;
_prevSlow = slowVal;
return;
}
var channel = atrVal * Sensitivity;
var crossedAbove = _prevFast <= _prevSlow + channel && fastVal > slowVal + channel;
var crossedBelow = _prevFast >= _prevSlow - channel && fastVal < slowVal - channel;
if (crossedAbove && Position <= 0)
{
if (Position < 0)
BuyMarket(Math.Abs(Position));
BuyMarket(Volume);
_cooldownRemaining = CooldownBars;
}
else if (crossedBelow && Position >= 0)
{
if (Position > 0)
SellMarket(Math.Abs(Position));
SellMarket(Volume);
_cooldownRemaining = CooldownBars;
}
_prevFast = fastVal;
_prevSlow = slowVal;
}
}
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, CandleStates
from StockSharp.Algo.Indicators import ExponentialMovingAverage, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class adaptive_trend_flow_strategy(Strategy):
def __init__(self):
super(adaptive_trend_flow_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(30))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._fast_length = self.Param("FastLength", 10) \
.SetGreaterThanZero() \
.SetDisplay("Fast EMA Length", "Fast EMA period", "Trend")
self._slow_length = self.Param("SlowLength", 30) \
.SetGreaterThanZero() \
.SetDisplay("Slow EMA Length", "Slow EMA period", "Trend")
self._atr_length = self.Param("AtrLength", 14) \
.SetGreaterThanZero() \
.SetDisplay("ATR Length", "ATR period for volatility", "Trend")
self._sensitivity = self.Param("Sensitivity", 1.5) \
.SetGreaterThanZero() \
.SetDisplay("Sensitivity", "ATR multiplier for channel", "Trend")
self._cooldown_bars = self.Param("CooldownBars", 10) \
.SetDisplay("Cooldown Bars", "Bars between trades", "Risk")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(adaptive_trend_flow_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(adaptive_trend_flow_strategy, self).OnStarted2(time)
fast_ema = ExponentialMovingAverage()
fast_ema.Length = int(self._fast_length.Value)
slow_ema = ExponentialMovingAverage()
slow_ema.Length = int(self._slow_length.Value)
atr = AverageTrueRange()
atr.Length = int(self._atr_length.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ema, slow_ema, atr, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast_ema)
self.DrawIndicator(area, slow_ema)
self.DrawOwnTrades(area)
def _on_process(self, candle, fast_val, slow_val, atr_val):
if candle.State != CandleStates.Finished:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
fast_v = float(fast_val)
slow_v = float(slow_val)
atr_v = float(atr_val)
if self._prev_fast == 0:
self._prev_fast = fast_v
self._prev_slow = slow_v
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
self._prev_fast = fast_v
self._prev_slow = slow_v
return
sens = float(self._sensitivity.Value)
cooldown = int(self._cooldown_bars.Value)
channel = atr_v * sens
crossed_above = self._prev_fast <= self._prev_slow + channel and fast_v > slow_v + channel
crossed_below = self._prev_fast >= self._prev_slow - channel and fast_v < slow_v - channel
if crossed_above and self.Position <= 0:
if self.Position < 0:
self.BuyMarket(Math.Abs(self.Position))
self.BuyMarket(self.Volume)
self._cooldown_remaining = cooldown
elif crossed_below and self.Position >= 0:
if self.Position > 0:
self.SellMarket(Math.Abs(self.Position))
self.SellMarket(self.Volume)
self._cooldown_remaining = cooldown
self._prev_fast = fast_v
self._prev_slow = slow_v
def CreateClone(self):
return adaptive_trend_flow_strategy()