ADX for BTC
该策略使用平均趋向指数 (ADX) 并可选 SMA 趋势过滤器,以捕捉比特币中的强势行情。
回测显示平均年化收益约 80%。该策略在加密市场表现最佳。
当 ADX 上穿入场阈值且趋势过滤器看多时买入;当 ADX 下穿退出阈值时平仓。
细节
- 入场条件:ADX 上穿
EntryLevel,且(若启用)快速 SMA > 慢速 SMA。 - 多空方向:仅做多。
- 出场条件:ADX 下穿
ExitLevel。 - 止损:否。
- 默认值:
EntryLevel= 14mExitLevel= 45mSmaFilter= trueSmaLength= 200CandleType= TimeSpan.FromMinutes(5)
- 过滤器:
- 类别:趋势
- 方向:多头
- 指标:ADX, SMA
- 止损:否
- 复杂度:基础
- 时间框架:日内 (5m)
- 季节性:否
- 神经网络:否
- 背离:否
- 风险等级:中
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>
/// ADX based long-only strategy for BTC.
/// Enters when ADX crosses above entry level, exits when ADX crosses below exit level.
/// </summary>
public class AdxForBtcStrategy : Strategy
{
private readonly StrategyParam<decimal> _entryLevel;
private readonly StrategyParam<decimal> _exitLevel;
private readonly StrategyParam<int> _smaLength;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private decimal _prevAdx;
private int _cooldownRemaining;
public decimal EntryLevel { get => _entryLevel.Value; set => _entryLevel.Value = value; }
public decimal ExitLevel { get => _exitLevel.Value; set => _exitLevel.Value = value; }
public int SmaLength { get => _smaLength.Value; set => _smaLength.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int CooldownBars { get => _cooldownBars.Value; set => _cooldownBars.Value = value; }
public AdxForBtcStrategy()
{
_entryLevel = Param(nameof(EntryLevel), 14m)
.SetGreaterThanZero()
.SetDisplay("Entry Level", "ADX threshold for entry", "Strategy");
_exitLevel = Param(nameof(ExitLevel), 40m)
.SetGreaterThanZero()
.SetDisplay("Exit Level", "ADX threshold for exit", "Strategy");
_smaLength = Param(nameof(SmaLength), 50)
.SetGreaterThanZero()
.SetDisplay("SMA Length", "Length for trend SMA", "Strategy");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
_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();
_prevAdx = 0m;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var adx = new AverageDirectionalIndex { Length = 14 };
var sma = new SimpleMovingAverage { Length = SmaLength };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(adx, sma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, sma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue adxValue, IIndicatorValue smaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var adxTyped = (IAverageDirectionalIndexValue)adxValue;
if (adxTyped.MovingAverage is not decimal adxMa ||
adxTyped.Dx.Plus is not decimal diPlus ||
adxTyped.Dx.Minus is not decimal diMinus)
return;
var smaVal = smaValue.ToDecimal();
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_prevAdx = adxMa;
return;
}
// Enter long when ADX crosses above entry level with +DI > -DI and price above SMA
if (_prevAdx > 0 && _prevAdx <= EntryLevel && adxMa > EntryLevel && diPlus > diMinus && candle.ClosePrice > smaVal && Position <= 0)
{
if (Position < 0)
BuyMarket(Math.Abs(Position));
BuyMarket(Volume);
_cooldownRemaining = CooldownBars;
}
// Enter short when ADX crosses above entry level with -DI > +DI and price below SMA
else if (_prevAdx > 0 && _prevAdx <= EntryLevel && adxMa > EntryLevel && diMinus > diPlus && candle.ClosePrice < smaVal && Position >= 0)
{
if (Position > 0)
SellMarket(Math.Abs(Position));
SellMarket(Volume);
_cooldownRemaining = CooldownBars;
}
// Exit when ADX drops below exit level
else if (Position > 0 && adxMa < ExitLevel && _prevAdx >= ExitLevel)
{
SellMarket(Math.Abs(Position));
_cooldownRemaining = CooldownBars;
}
else if (Position < 0 && adxMa < ExitLevel && _prevAdx >= ExitLevel)
{
BuyMarket(Math.Abs(Position));
_cooldownRemaining = CooldownBars;
}
_prevAdx = adxMa;
}
}
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 AverageDirectionalIndex, SimpleMovingAverage, IndicatorHelper
from StockSharp.Algo.Strategies import Strategy
class adx_for_btc_strategy(Strategy):
def __init__(self):
super(adx_for_btc_strategy, self).__init__()
self._entry_level = self.Param("EntryLevel", 14.0) \
.SetGreaterThanZero() \
.SetDisplay("Entry Level", "ADX threshold for entry", "Strategy")
self._exit_level = self.Param("ExitLevel", 40.0) \
.SetGreaterThanZero() \
.SetDisplay("Exit Level", "ADX threshold for exit", "Strategy")
self._sma_length = self.Param("SmaLength", 50) \
.SetGreaterThanZero() \
.SetDisplay("SMA Length", "Length for trend SMA", "Strategy")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(30))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._cooldown_bars = self.Param("CooldownBars", 10) \
.SetDisplay("Cooldown Bars", "Bars between trades", "Risk")
self._prev_adx = 0.0
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(adx_for_btc_strategy, self).OnReseted()
self._prev_adx = 0.0
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(adx_for_btc_strategy, self).OnStarted2(time)
adx = AverageDirectionalIndex()
adx.Length = 14
sma = SimpleMovingAverage()
sma.Length = int(self._sma_length.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(adx, sma, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, sma)
self.DrawOwnTrades(area)
def _on_process(self, candle, adx_value, sma_value):
if candle.State != CandleStates.Finished:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
adx_ma = adx_value.MovingAverage
if adx_ma is None:
return
dx = adx_value.Dx
di_plus_val = dx.Plus
di_minus_val = dx.Minus
if di_plus_val is None or di_minus_val is None:
return
adx_v = float(adx_ma)
di_plus = float(di_plus_val)
di_minus = float(di_minus_val)
sma_v = float(IndicatorHelper.ToDecimal(sma_value))
close = float(candle.ClosePrice)
entry = float(self._entry_level.Value)
exit_lv = float(self._exit_level.Value)
cooldown = int(self._cooldown_bars.Value)
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
self._prev_adx = adx_v
return
if self._prev_adx > 0 and self._prev_adx <= entry and adx_v > entry and di_plus > di_minus and close > sma_v and self.Position <= 0:
if self.Position < 0:
self.BuyMarket(Math.Abs(self.Position))
self.BuyMarket(self.Volume)
self._cooldown_remaining = cooldown
elif self._prev_adx > 0 and self._prev_adx <= entry and adx_v > entry and di_minus > di_plus and close < sma_v and self.Position >= 0:
if self.Position > 0:
self.SellMarket(Math.Abs(self.Position))
self.SellMarket(self.Volume)
self._cooldown_remaining = cooldown
elif self.Position > 0 and adx_v < exit_lv and self._prev_adx >= exit_lv:
self.SellMarket(Math.Abs(self.Position))
self._cooldown_remaining = cooldown
elif self.Position < 0 and adx_v < exit_lv and self._prev_adx >= exit_lv:
self.BuyMarket(Math.Abs(self.Position))
self._cooldown_remaining = cooldown
self._prev_adx = adx_v
def CreateClone(self):
return adx_for_btc_strategy()