Volume Spike Trend überwacht plötzliche Anstiege im gehandelten Volumen. Wenn das aktuelle Volumen den jüngsten Durchschnitt um einen festgelegten Multiplikator überschreitet, signalisiert es eine starke Marktbeteiligung.
Tests zeigen eine durchschnittliche jährliche Rendite von etwa 175%. Am besten funktioniert es im Aktienmarkt.
Wenn das Volumen spikt und der Preis über dem gleitenden Durchschnitt liegt, kauft die Strategie; wenn das Volumen bei einem Preis unter dem Durchschnitt spikt, wird eine Short-Position eröffnet. Trades enden, wenn das Volumen wieder unter den Durchschnitt fällt oder der Stop-Loss erreicht wird.
Diese Methode versucht, Bewegungen zu erfassen, die durch einen Aktivitätsausbruch angetrieben werden.
Details
Einstiegskriterien: Volumenänderung überschreitet VolumeSpikeMultiplier mal den Durchschnitt.
Long/Short: Beide Richtungen.
Ausstiegskriterien: Volumen fällt unter den Durchschnitt oder Stop.
Stops: Ja.
Standardwerte:
MAPeriod = 20
VolAvgPeriod = 20
VolumeSpikeMultiplier = 2.0m
CandleType = TimeSpan.FromMinutes(5)
Filter:
Kategorie: Ausbruch
Richtung: Beide
Indikatoren: Volumen, MA
Stops: Ja
Komplexität: Grundlegend
Zeitrahmen: Intraday
Saisonalität: Nein
Neuronale Netze: Nein
Divergenz: Nein
Risikolevel: Mittel
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>
/// Volume Spike strategy.
/// Enters when volume spikes above average and price is above/below MA.
/// </summary>
public class VolumeSpikeStrategy : Strategy
{
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<decimal> _volumeSpikeMultiplier;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private decimal _previousVolume;
private int _cooldown;
/// <summary>
/// MA Period.
/// </summary>
public int MAPeriod
{
get => _maPeriod.Value;
set => _maPeriod.Value = value;
}
/// <summary>
/// Volume Spike Multiplier.
/// </summary>
public decimal VolumeSpikeMultiplier
{
get => _volumeSpikeMultiplier.Value;
set => _volumeSpikeMultiplier.Value = value;
}
/// <summary>
/// Candle type for strategy calculation.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Cooldown bars between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Initialize the Volume Spike strategy.
/// </summary>
public VolumeSpikeStrategy()
{
_maPeriod = Param(nameof(MAPeriod), 20)
.SetDisplay("MA Period", "Period for Moving Average calculation", "Indicators")
.SetOptimize(10, 50, 10);
_volumeSpikeMultiplier = Param(nameof(VolumeSpikeMultiplier), 2.0m)
.SetDisplay("Volume Spike Multiplier", "Minimum volume increase for signal", "Entry")
.SetOptimize(1.5m, 3.0m, 0.5m);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_cooldownBars = Param(nameof(CooldownBars), 500)
.SetRange(1, 1000)
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_previousVolume = default;
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_previousVolume = 0;
_cooldown = 0;
var ma = new SimpleMovingAverage { Length = MAPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal maValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_previousVolume == 0)
{
_previousVolume = candle.TotalVolume;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_previousVolume = candle.TotalVolume;
return;
}
var volumeChange = _previousVolume > 0 ? candle.TotalVolume / _previousVolume : 0;
if (Position == 0 && volumeChange >= VolumeSpikeMultiplier)
{
if (candle.ClosePrice > maValue)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (candle.ClosePrice < maValue)
{
SellMarket();
_cooldown = CooldownBars;
}
}
else if (Position > 0 && candle.TotalVolume < _previousVolume)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position < 0 && candle.TotalVolume < _previousVolume)
{
BuyMarket();
_cooldown = CooldownBars;
}
_previousVolume = candle.TotalVolume;
}
}
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.Indicators import SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class volume_spike_strategy(Strategy):
"""
Volume Spike strategy.
Enters when volume spikes above average and price is above/below MA.
"""
def __init__(self):
super(volume_spike_strategy, self).__init__()
self._ma_period = self.Param("MAPeriod", 20).SetDisplay("MA Period", "Period for Moving Average calculation", "Indicators")
self._volume_spike_multiplier = self.Param("VolumeSpikeMultiplier", 2.0).SetDisplay("Volume Spike Multiplier", "Minimum volume increase for signal", "Entry")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._cooldown_bars = self.Param("CooldownBars", 500).SetDisplay("Cooldown Bars", "Bars to wait between trades", "General")
self._previous_volume = 0.0
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(volume_spike_strategy, self).OnReseted()
self._previous_volume = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(volume_spike_strategy, self).OnStarted2(time)
self._previous_volume = 0.0
self._cooldown = 0
ma = SimpleMovingAverage()
ma.Length = self._ma_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(ma, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ma)
self.DrawOwnTrades(area)
def _process_candle(self, candle, ma_val):
if candle.State != CandleStates.Finished:
return
vol = float(candle.TotalVolume)
if self._previous_volume == 0:
self._previous_volume = vol
return
if self._cooldown > 0:
self._cooldown -= 1
self._previous_volume = vol
return
volume_change = vol / self._previous_volume if self._previous_volume > 0 else 0.0
close = float(candle.ClosePrice)
mv = float(ma_val)
mult = float(self._volume_spike_multiplier.Value)
cd = self._cooldown_bars.Value
if self.Position == 0 and volume_change >= mult:
if close > mv:
self.BuyMarket()
self._cooldown = cd
elif close < mv:
self.SellMarket()
self._cooldown = cd
elif self.Position > 0 and vol < self._previous_volume:
self.SellMarket()
self._cooldown = cd
elif self.Position < 0 and vol < self._previous_volume:
self.BuyMarket()
self._cooldown = cd
self._previous_volume = vol
def CreateClone(self):
return volume_spike_strategy()