Max Pain 策略
当成交量和价格变动超过可配置阈值且VIX指数低于设定水平时,该策略开多单。进场时根据波动率设置止损,并在固定的周期数后平仓。
细节
- 入场条件:
- 多头:成交量大于平均成交量 ×
VolumeMultiplier,且价格变动大于前一收盘价 ×PriceChangeMultiplier,同时VIX低于VixThreshold。
- 多头:成交量大于平均成交量 ×
- 多空方向:仅多头。
- 出场条件:
- 在入场价下方
StopLossMultiplier× 波动率 处设置止损。 - 在
HoldPeriods根K线后平仓。
- 在入场价下方
- 止损:有。
- 默认值:
LookbackPeriod= 70。VolumeMultiplier= 1。PriceChangeMultiplier= 0.029。StopLossMultiplier= 2.4。VixThreshold= 44。HoldPeriods= 8。CandleType= TimeSpan.FromMinutes(1).TimeFrame().VixCandleType= TimeSpan.FromMinutes(5).TimeFrame().
- 筛选:
- 类型: 突破
- 方向: 仅多头
- 指标: 成交量、价格行为、波动率
- 止损: 有
- 复杂度: 基础
- 时间框架: 日内
- 季节性: 无
- 神经网络: 无
- 背离: 无
- 风险等级: 中
using System;
using System.Linq;
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;
public class MaxPainStrategy : Strategy
{
private readonly StrategyParam<int> _lookbackPeriod;
private readonly StrategyParam<int> _holdPeriods;
private readonly StrategyParam<DataType> _candleType;
private int _barIndex;
private int? _entryBar;
private readonly List<decimal> _volumes = new();
private decimal _prevClose;
public int LookbackPeriod { get => _lookbackPeriod.Value; set => _lookbackPeriod.Value = value; }
public int HoldPeriods { get => _holdPeriods.Value; set => _holdPeriods.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public MaxPainStrategy()
{
_lookbackPeriod = Param(nameof(LookbackPeriod), 20);
_holdPeriods = Param(nameof(HoldPeriods), 8);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame());
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_barIndex = 0;
_entryBar = null;
_prevClose = 0m;
_volumes.Clear();
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
StartProtection(null, null);
_barIndex = 0;
_entryBar = null;
_prevClose = 0;
_volumes.Clear();
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
_barIndex++;
_volumes.Add(candle.TotalVolume);
if (_volumes.Count > LookbackPeriod)
_volumes.RemoveAt(0);
if (_volumes.Count < LookbackPeriod || _prevClose == 0)
{
_prevClose = candle.ClosePrice;
return;
}
var avgVolume = _volumes.Average();
var priceChange = Math.Abs(candle.ClosePrice - _prevClose);
// Volume spike with significant price move
var painZone = candle.TotalVolume > avgVolume * 1.2m && priceChange > _prevClose * 0.003m;
if (painZone && Position <= 0)
{
BuyMarket();
_entryBar = _barIndex;
}
if (Position > 0 && _entryBar.HasValue && _barIndex >= _entryBar.Value + HoldPeriods)
{
SellMarket();
_entryBar = null;
}
_prevClose = candle.ClosePrice;
}
}
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.Strategies import Strategy
class max_pain_strategy(Strategy):
def __init__(self):
super(max_pain_strategy, self).__init__()
self._lookback_period = self.Param("LookbackPeriod", 20) \
.SetDisplay("Lookback Period", "Volume average lookback", "General")
self._hold_periods = self.Param("HoldPeriods", 8) \
.SetDisplay("Hold Periods", "Bars to hold", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._bar_index = 0
self._entry_bar = None
self._prev_close = 0.0
self._volumes = []
@property
def candle_type(self):
return self._candle_type.Value
@candle_type.setter
def candle_type(self, value):
self._candle_type.Value = value
def OnReseted(self):
super(max_pain_strategy, self).OnReseted()
self._bar_index = 0
self._entry_bar = None
self._prev_close = 0.0
self._volumes = []
def OnStarted2(self, time):
super(max_pain_strategy, self).OnStarted2(time)
self._bar_index = 0
self._entry_bar = None
self._prev_close = 0.0
self._volumes = []
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self.OnProcess).Start()
def OnProcess(self, candle):
if candle.State != CandleStates.Finished:
return
self._bar_index += 1
vol = float(candle.TotalVolume)
self._volumes.append(vol)
lb = self._lookback_period.Value
if len(self._volumes) > lb:
self._volumes.pop(0)
close = float(candle.ClosePrice)
if len(self._volumes) < lb or self._prev_close == 0.0:
self._prev_close = close
return
avg_vol = sum(self._volumes) / len(self._volumes)
price_change = abs(close - self._prev_close)
pain_zone = vol > avg_vol * 1.2 and price_change > self._prev_close * 0.003
if pain_zone and self.Position <= 0:
self.BuyMarket()
self._entry_bar = self._bar_index
hp = self._hold_periods.Value
if self.Position > 0 and self._entry_bar is not None and self._bar_index >= self._entry_bar + hp:
self.SellMarket()
self._entry_bar = None
self._prev_close = close
def CreateClone(self):
return max_pain_strategy()