ADX Volume Breakout
ADX Volume Breakout 策略基于 ADX with Volume Breakout。
测试表明年均收益约为 55%,该策略在股票市场表现最佳。
当 its indicators confirms breakout opportunities 在日内(5m)数据上得到确认时触发信号,适合积极交易者。
止损依赖于 ATR 倍数以及 AdxPeriod, AdxThreshold 等参数,可根据需要调整以平衡风险与收益。
详情
- 入场条件:参见指标条件实现.
- 多空方向:双向.
- 退出条件:反向信号或止损逻辑.
- 止损:是,基于指标计算.
- 默认值:
AdxPeriod = 14AdxThreshold = 25mVolumeAvgPeriod = 20VolumeThresholdFactor = 2.0mCandleType = TimeSpan.FromMinutes(5).TimeFrame()
- 过滤器:
- 分类: 趋势跟随
- 方向: 双向
- 指标: multiple indicators
- 止损: 是
- 复杂度: 中等
- 时间框架: 日内 (5m)
- 季节性: 否
- 神经网络: 否
- 背离: 否
- 风险等级: 中等
namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
/// <summary>
/// Strategy based on ADX with a volume breakout confirmation.
/// </summary>
public class AdxWithVolumeBreakoutStrategy : Strategy
{
private readonly StrategyParam<int> _adxPeriod;
private readonly StrategyParam<decimal> _adxThreshold;
private readonly StrategyParam<int> _volumeAvgPeriod;
private readonly StrategyParam<int> _signalCooldownBars;
private readonly StrategyParam<DataType> _candleType;
private SimpleMovingAverage _volumeSma;
private int _cooldownRemaining;
public int AdxPeriod
{
get => _adxPeriod.Value;
set => _adxPeriod.Value = value;
}
public decimal AdxThreshold
{
get => _adxThreshold.Value;
set => _adxThreshold.Value = value;
}
public int VolumeAvgPeriod
{
get => _volumeAvgPeriod.Value;
set => _volumeAvgPeriod.Value = value;
}
public int SignalCooldownBars
{
get => _signalCooldownBars.Value;
set => _signalCooldownBars.Value = value;
}
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public AdxWithVolumeBreakoutStrategy()
{
_adxPeriod = Param(nameof(AdxPeriod), 10)
.SetGreaterThanZero()
.SetDisplay("ADX Period", "Period for ADX calculation", "Indicators");
_adxThreshold = Param(nameof(AdxThreshold), 25m)
.SetGreaterThanZero()
.SetDisplay("ADX Threshold", "Threshold for strong trend identification", "Indicators");
_volumeAvgPeriod = Param(nameof(VolumeAvgPeriod), 10)
.SetGreaterThanZero()
.SetDisplay("Volume Avg Period", "Period for volume moving average", "Indicators");
_signalCooldownBars = Param(nameof(SignalCooldownBars), 15)
.SetGreaterThanZero()
.SetDisplay("Signal Cooldown", "Bars to wait between signals", "Trading");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_volumeSma = null;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var adx = new AverageDirectionalIndex { Length = AdxPeriod };
_volumeSma = new SimpleMovingAverage { Length = VolumeAvgPeriod };
_cooldownRemaining = 0;
var subscription = SubscribeCandles(CandleType);
subscription.BindEx(adx, ProcessCandle).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
StartProtection(
takeProfit: new Unit(2, UnitTypes.Percent),
stopLoss: new Unit(1, UnitTypes.Percent)
);
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue adxValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!adxValue.IsFinal)
return;
if (_cooldownRemaining > 0)
_cooldownRemaining--;
// Process volume average
var volumeAvgValue = _volumeSma.Process(new DecimalIndicatorValue(_volumeSma, candle.TotalVolume, candle.ServerTime));
var adxTyped = (AverageDirectionalIndexValue)adxValue;
if (adxTyped.MovingAverage is not decimal adx)
return;
var dx = adxTyped.Dx;
if (dx.Plus is not decimal plusDi || dx.Minus is not decimal minusDi)
return;
var volumeAverage = volumeAvgValue.IsFormed ? volumeAvgValue.ToDecimal() : 0m;
var isStrongTrend = adx > AdxThreshold;
var isVolumeBreakout = volumeAverage <= 0m || candle.TotalVolume >= volumeAverage;
var isBullish = plusDi > minusDi;
var isBearish = minusDi > plusDi;
if (_cooldownRemaining > 0)
return;
if (!isStrongTrend || !isVolumeBreakout)
return;
if (Position == 0)
{
if (isBullish)
{
BuyMarket();
_cooldownRemaining = SignalCooldownBars;
}
else if (isBearish)
{
SellMarket();
_cooldownRemaining = SignalCooldownBars;
}
}
}
}
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, Unit, UnitTypes
from StockSharp.Algo.Indicators import AverageDirectionalIndex, SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
from indicator_extensions import *
class adx_with_volume_breakout_strategy(Strategy):
"""
Strategy based on ADX with a volume breakout confirmation.
"""
def __init__(self):
super(adx_with_volume_breakout_strategy, self).__init__()
self._adx_period = self.Param("AdxPeriod", 10) \
.SetGreaterThanZero() \
.SetDisplay("ADX Period", "Period for ADX calculation", "Indicators")
self._adx_threshold = self.Param("AdxThreshold", 25.0) \
.SetGreaterThanZero() \
.SetDisplay("ADX Threshold", "Threshold for strong trend identification", "Indicators")
self._volume_avg_period = self.Param("VolumeAvgPeriod", 10) \
.SetGreaterThanZero() \
.SetDisplay("Volume Avg Period", "Period for volume moving average", "Indicators")
self._signal_cooldown_bars = self.Param("SignalCooldownBars", 15) \
.SetGreaterThanZero() \
.SetDisplay("Signal Cooldown", "Bars to wait between signals", "Trading")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(adx_with_volume_breakout_strategy, self).OnReseted()
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(adx_with_volume_breakout_strategy, self).OnStarted2(time)
adx = AverageDirectionalIndex()
adx.Length = int(self._adx_period.Value)
self._volume_sma = SimpleMovingAverage()
self._volume_sma.Length = int(self._volume_avg_period.Value)
self._cooldown_remaining = 0
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(adx, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
self.StartProtection(
Unit(2, UnitTypes.Percent),
Unit(1, UnitTypes.Percent)
)
def _process_candle(self, candle, adx_value):
if candle.State != CandleStates.Finished:
return
if not adx_value.IsFinal:
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
volume_avg_result = process_float(self._volume_sma, candle.TotalVolume, candle.ServerTime, True)
adx_typed = adx_value
adx_ma = adx_typed.MovingAverage
if adx_ma is None:
return
dx = adx_typed.Dx
if dx is None:
return
plus_di = dx.Plus
minus_di = dx.Minus
if plus_di is None or minus_di is None:
return
adx_val = float(adx_ma)
plus_di_val = float(plus_di)
minus_di_val = float(minus_di)
volume_average = float(volume_avg_result) if volume_avg_result.IsFormed else 0.0
threshold = float(self._adx_threshold.Value)
is_strong_trend = adx_val > threshold
is_volume_breakout = volume_average <= 0.0 or float(candle.TotalVolume) >= volume_average
is_bullish = plus_di_val > minus_di_val
is_bearish = minus_di_val > plus_di_val
if self._cooldown_remaining > 0:
return
if not is_strong_trend or not is_volume_breakout:
return
cd = int(self._signal_cooldown_bars.Value)
if self.Position == 0:
if is_bullish:
self.BuyMarket()
self._cooldown_remaining = cd
elif is_bearish:
self.SellMarket()
self._cooldown_remaining = cd
def CreateClone(self):
return adx_with_volume_breakout_strategy()