Supertrend Distance Mean Reversion
Supertrend Distance Mean Reversion 策略关注指标的极端读数以捕捉均值回归。远离正常水平的情况通常不会持续太久。
当指标大幅偏离均值后开始反转时产生交易信号,可做多也可做空,并带有保护性止损。
适合预期震荡行情的交易者,当指标回归平衡时平仓。初始参数 AtrPeriod = 10.
详细信息
- 入场条件: Indicator crosses back toward mean.
- 多空: Both directions.
- 出场条件: Indicator reverts to average.
- 止损: Yes.
- 默认值:
AtrPeriod= 10Multiplier= 3.0mLookbackPeriod= 20DeviationMultiplier= 2.0mCandleType= TimeSpan.FromMinutes(5)
- 过滤器:
- 分类: Mean Reversion
- 方向: Both
- 指标: Supertrend
- 止损: Yes
- 复杂度: Intermediate
- 时间框架: Short-term
- 季节性: No
- 神经网络: No
- 背离: No
- 风险级别: Medium
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>
/// Supertrend distance mean reversion strategy.
/// Trades large deviations of price from Supertrend and exits when the distance returns to its recent average.
/// </summary>
public class SupertrendDistanceMeanReversionStrategy : Strategy
{
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<decimal> _multiplier;
private readonly StrategyParam<int> _lookbackPeriod;
private readonly StrategyParam<decimal> _deviationMultiplier;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<DataType> _candleType;
private SuperTrend _supertrend;
private decimal[] _distanceHistory;
private int _currentIndex;
private int _filledCount;
private int _cooldown;
/// <summary>
/// ATR period for Supertrend calculation.
/// </summary>
public int AtrPeriod
{
get => _atrPeriod.Value;
set => _atrPeriod.Value = value;
}
/// <summary>
/// Multiplier for Supertrend calculation.
/// </summary>
public decimal Multiplier
{
get => _multiplier.Value;
set => _multiplier.Value = value;
}
/// <summary>
/// Lookback period for distance statistics.
/// </summary>
public int LookbackPeriod
{
get => _lookbackPeriod.Value;
set => _lookbackPeriod.Value = value;
}
/// <summary>
/// Deviation multiplier for mean reversion detection.
/// </summary>
public decimal DeviationMultiplier
{
get => _deviationMultiplier.Value;
set => _deviationMultiplier.Value = value;
}
/// <summary>
/// Stop loss percentage.
/// </summary>
public decimal StopLossPercent
{
get => _stopLossPercent.Value;
set => _stopLossPercent.Value = value;
}
/// <summary>
/// Cooldown bars between orders.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes a new instance of <see cref="SupertrendDistanceMeanReversionStrategy"/>.
/// </summary>
public SupertrendDistanceMeanReversionStrategy()
{
_atrPeriod = Param(nameof(AtrPeriod), 10)
.SetGreaterThanZero()
.SetDisplay("ATR Period", "ATR period for Supertrend calculation", "Supertrend")
.SetOptimize(5, 20, 1);
_multiplier = Param(nameof(Multiplier), 3m)
.SetGreaterThanZero()
.SetDisplay("Multiplier", "Multiplier for Supertrend calculation", "Supertrend")
.SetOptimize(1m, 5m, 0.5m);
_lookbackPeriod = Param(nameof(LookbackPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Lookback Period", "Lookback period for distance statistics", "Strategy Parameters")
.SetOptimize(10, 50, 5);
_deviationMultiplier = Param(nameof(DeviationMultiplier), 1.5m)
.SetGreaterThanZero()
.SetDisplay("Deviation Multiplier", "Deviation multiplier for mean reversion detection", "Strategy Parameters")
.SetOptimize(1m, 3m, 0.5m);
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetGreaterThanZero()
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk Management");
_cooldownBars = Param(nameof(CooldownBars), 1200)
.SetRange(1, 5000)
.SetDisplay("Cooldown Bars", "Bars to wait between orders", "Risk Management");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Candle type for strategy", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_supertrend = null;
_currentIndex = default;
_filledCount = default;
_cooldown = default;
_distanceHistory = new decimal[LookbackPeriod];
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_supertrend = new SuperTrend { Length = AtrPeriod, Multiplier = Multiplier };
_distanceHistory = new decimal[LookbackPeriod];
_currentIndex = 0;
_filledCount = 0;
_cooldown = 0;
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_supertrend, ProcessSupertrend)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _supertrend);
DrawOwnTrades(area);
}
StartProtection(new(), new Unit(StopLossPercent, UnitTypes.Percent));
}
private void ProcessSupertrend(ICandleMessage candle, decimal supertrendValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!_supertrend.IsFormed)
return;
var distance = Math.Abs(candle.ClosePrice - supertrendValue);
_distanceHistory[_currentIndex] = distance;
_currentIndex = (_currentIndex + 1) % LookbackPeriod;
if (_filledCount < LookbackPeriod)
_filledCount++;
if (_filledCount < LookbackPeriod)
return;
var avgDistance = 0m;
var sumSq = 0m;
for (var i = 0; i < LookbackPeriod; i++)
avgDistance += _distanceHistory[i];
avgDistance /= LookbackPeriod;
for (var i = 0; i < LookbackPeriod; i++)
{
var diff = _distanceHistory[i] - avgDistance;
sumSq += diff * diff;
}
var stdDistance = (decimal)Math.Sqrt((double)(sumSq / LookbackPeriod));
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_cooldown > 0)
{
_cooldown--;
return;
}
var extendedThreshold = avgDistance + stdDistance * DeviationMultiplier;
var priceAboveSupertrend = candle.ClosePrice > supertrendValue;
var priceBelowSupertrend = candle.ClosePrice < supertrendValue;
if (Position == 0)
{
if (distance > extendedThreshold)
{
if (priceAboveSupertrend)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (priceBelowSupertrend)
{
BuyMarket();
_cooldown = CooldownBars;
}
}
}
else if (Position > 0 && (distance <= avgDistance || priceAboveSupertrend))
{
SellMarket(Math.Abs(Position));
_cooldown = CooldownBars;
}
else if (Position < 0 && (distance <= avgDistance || priceBelowSupertrend))
{
BuyMarket(Math.Abs(Position));
_cooldown = CooldownBars;
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
import math
from System import TimeSpan, Math
from StockSharp.Messages import DataType, Unit, UnitTypes, CandleStates
from StockSharp.Algo.Indicators import SuperTrend
from StockSharp.Algo.Strategies import Strategy
class supertrend_distance_mean_reversion_strategy(Strategy):
"""
Supertrend distance mean reversion strategy.
Trades large deviations of price from Supertrend and exits when the distance returns to its recent average.
"""
def __init__(self):
super(supertrend_distance_mean_reversion_strategy, self).__init__()
self._atr_period = self.Param("AtrPeriod", 10) \
.SetGreaterThanZero() \
.SetDisplay("ATR Period", "ATR period for Supertrend calculation", "Supertrend")
self._multiplier = self.Param("Multiplier", 3.0) \
.SetGreaterThanZero() \
.SetDisplay("Multiplier", "Multiplier for Supertrend calculation", "Supertrend")
self._lookback_period = self.Param("LookbackPeriod", 20) \
.SetGreaterThanZero() \
.SetDisplay("Lookback Period", "Lookback period for distance statistics", "Strategy Parameters")
self._deviation_multiplier = self.Param("DeviationMultiplier", 1.5) \
.SetGreaterThanZero() \
.SetDisplay("Deviation Multiplier", "Deviation multiplier for mean reversion detection", "Strategy Parameters")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0) \
.SetGreaterThanZero() \
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk Management")
self._cooldown_bars = self.Param("CooldownBars", 1200) \
.SetDisplay("Cooldown Bars", "Bars to wait between orders", "Risk Management")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Candle type for strategy", "General")
self._supertrend = None
self._distance_history = None
self._current_index = 0
self._filled_count = 0
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(supertrend_distance_mean_reversion_strategy, self).OnReseted()
self._supertrend = None
lb = int(self._lookback_period.Value)
self._distance_history = [0.0] * lb
self._current_index = 0
self._filled_count = 0
self._cooldown = 0
def OnStarted2(self, time):
super(supertrend_distance_mean_reversion_strategy, self).OnStarted2(time)
lb = int(self._lookback_period.Value)
self._distance_history = [0.0] * lb
self._current_index = 0
self._filled_count = 0
self._cooldown = 0
self._supertrend = SuperTrend()
self._supertrend.Length = int(self._atr_period.Value)
self._supertrend.Multiplier = self._multiplier.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._supertrend, self._process_supertrend).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._supertrend)
self.DrawOwnTrades(area)
self.StartProtection(Unit(), Unit(self._stop_loss_percent.Value, UnitTypes.Percent))
def _process_supertrend(self, candle, supertrend_value):
if candle.State != CandleStates.Finished:
return
if not self._supertrend.IsFormed:
return
close_price = float(candle.ClosePrice)
st_val = float(supertrend_value)
distance = abs(close_price - st_val)
lb = int(self._lookback_period.Value)
self._distance_history[self._current_index] = distance
self._current_index = (self._current_index + 1) % lb
if self._filled_count < lb:
self._filled_count += 1
if self._filled_count < lb:
return
avg_distance = 0.0
for i in range(lb):
avg_distance += self._distance_history[i]
avg_distance /= float(lb)
sum_sq = 0.0
for i in range(lb):
diff = self._distance_history[i] - avg_distance
sum_sq += diff * diff
std_distance = math.sqrt(sum_sq / float(lb))
if not self.IsFormedAndOnlineAndAllowTrading():
return
if self._cooldown > 0:
self._cooldown -= 1
return
dm = float(self._deviation_multiplier.Value)
extended_threshold = avg_distance + std_distance * dm
price_above_supertrend = close_price > st_val
price_below_supertrend = close_price < st_val
if self.Position == 0:
if distance > extended_threshold:
if price_above_supertrend:
self.SellMarket()
self._cooldown = int(self._cooldown_bars.Value)
elif price_below_supertrend:
self.BuyMarket()
self._cooldown = int(self._cooldown_bars.Value)
elif self.Position > 0 and (distance <= avg_distance or price_above_supertrend):
self.SellMarket(Math.Abs(self.Position))
self._cooldown = int(self._cooldown_bars.Value)
elif self.Position < 0 and (distance <= avg_distance or price_below_supertrend):
self.BuyMarket(Math.Abs(self.Position))
self._cooldown = int(self._cooldown_bars.Value)
def CreateClone(self):
return supertrend_distance_mean_reversion_strategy()