Dark Pool Prints Strategie
Dark Pool Prints verfolgt große außerbörsliche Transaktionen, die oft starken Bewegungen vorausgehen, sobald die Aktivität bekannt wird. Ungewöhnliches Volumen auf dem Tape kann institutionelle Positionierungen signalisieren, die den regulären Markt noch nicht beeinflusst haben.
Tests zeigen eine durchschnittliche jährliche Rendite von etwa 46%. Die Strategie funktioniert am besten am Aktienmarkt.
Die Strategie tritt in dieselbe Richtung ein wie starke Dark Pool-Käufe oder -Verkäufe und erwartet eine Fortsetzung, wenn der Rest des Marktes reagiert.
Ein kleiner prozentualer Stop hält das Risiko begrenzt, und Positionen werden geschlossen, wenn der erwartete Impuls ausbleibt.
Details
- Einstiegskriterien: Indikatorsignal
- Long/Short: Beide
- Ausstiegskriterien: Stop-Loss oder entgegengesetztes Signal
- Stops: Ja, prozentbasiert
- Standardwerte:
CandleType= 15 minuteStopLoss= 2%
- Filter:
- Kategorie: Volumen
- Richtung: Beide
- Indikatoren: Volume
- Stops: Ja
- Komplexität: Mittel
- 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>
/// Dark Pool Prints strategy.
/// Detects unusually high volume candles and trades in the direction of the candle
/// when confirmed by SMA trend direction.
/// Uses cooldown to control trade frequency.
/// </summary>
public class DarkPoolPrintsStrategy : Strategy
{
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<int> _volumeLookback;
private readonly StrategyParam<decimal> _volumeMultiplier;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private readonly List<decimal> _volumeHistory = new();
private int _cooldown;
/// <summary>
/// MA period.
/// </summary>
public int MaPeriod
{
get => _maPeriod.Value;
set => _maPeriod.Value = value;
}
/// <summary>
/// Volume lookback.
/// </summary>
public int VolumeLookback
{
get => _volumeLookback.Value;
set => _volumeLookback.Value = value;
}
/// <summary>
/// Volume multiplier threshold.
/// </summary>
public decimal VolumeMultiplier
{
get => _volumeMultiplier.Value;
set => _volumeMultiplier.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Cooldown bars.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public DarkPoolPrintsStrategy()
{
_maPeriod = Param(nameof(MaPeriod), 20)
.SetRange(5, 50)
.SetDisplay("MA Period", "Period for trend SMA", "Indicators");
_volumeLookback = Param(nameof(VolumeLookback), 20)
.SetRange(5, 50)
.SetDisplay("Volume Lookback", "Bars for volume average", "Volume");
_volumeMultiplier = Param(nameof(VolumeMultiplier), 1.5m)
.SetRange(1.2m, 5m)
.SetDisplay("Volume Multiplier", "Threshold multiplier for high volume", "Volume");
_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();
_volumeHistory.Clear();
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_volumeHistory.Clear();
_cooldown = 0;
var sma = new SimpleMovingAverage { Length = MaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(sma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, sma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal smaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
// Track volume history
_volumeHistory.Add(candle.TotalVolume);
if (_volumeHistory.Count > VolumeLookback)
_volumeHistory.RemoveAt(0);
if (_volumeHistory.Count < VolumeLookback)
return;
if (_cooldown > 0)
{
_cooldown--;
return;
}
// Calculate average volume
decimal avgVolume = 0;
for (int i = 0; i < _volumeHistory.Count - 1; i++)
avgVolume += _volumeHistory[i];
avgVolume /= (_volumeHistory.Count - 1);
var isHighVolume = candle.TotalVolume > avgVolume * VolumeMultiplier;
if (!isHighVolume)
return;
var isBullish = candle.ClosePrice > candle.OpenPrice;
var isBearish = candle.ClosePrice < candle.OpenPrice;
var isAboveSma = candle.ClosePrice > smaValue;
var isBelowSma = candle.ClosePrice < smaValue;
if (Position == 0 && isBullish && isAboveSma)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (Position == 0 && isBearish && isBelowSma)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position > 0 && isBelowSma)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position < 0 && isAboveSma)
{
BuyMarket();
_cooldown = CooldownBars;
}
}
}
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 dark_pool_prints_strategy(Strategy):
"""
Dark Pool Prints strategy.
Detects unusually high volume candles and trades in the direction of the candle
when confirmed by SMA trend direction.
Uses cooldown to control trade frequency.
"""
def __init__(self):
super(dark_pool_prints_strategy, self).__init__()
self._ma_period = self.Param("MaPeriod", 20).SetDisplay("MA Period", "Period for trend SMA", "Indicators")
self._volume_lookback = self.Param("VolumeLookback", 20).SetDisplay("Volume Lookback", "Bars for volume average", "Volume")
self._volume_multiplier = self.Param("VolumeMultiplier", 1.5).SetDisplay("Volume Multiplier", "Threshold multiplier for high volume", "Volume")
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._volume_history = []
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(dark_pool_prints_strategy, self).OnReseted()
self._volume_history = []
self._cooldown = 0
def OnStarted2(self, time):
super(dark_pool_prints_strategy, self).OnStarted2(time)
self._volume_history = []
self._cooldown = 0
sma = SimpleMovingAverage()
sma.Length = self._ma_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(sma, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, sma)
self.DrawOwnTrades(area)
def _process_candle(self, candle, sma_val):
if candle.State != CandleStates.Finished:
return
lookback = self._volume_lookback.Value
# Track volume history
self._volume_history.append(float(candle.TotalVolume))
if len(self._volume_history) > lookback:
self._volume_history.pop(0)
if len(self._volume_history) < lookback:
return
if self._cooldown > 0:
self._cooldown -= 1
return
# Calculate average volume (excluding last entry)
avg_volume = sum(self._volume_history[:-1]) / (len(self._volume_history) - 1)
is_high_volume = float(candle.TotalVolume) > avg_volume * self._volume_multiplier.Value
if not is_high_volume:
return
sv = float(sma_val)
cd = self._cooldown_bars.Value
is_bullish = candle.ClosePrice > candle.OpenPrice
is_bearish = candle.ClosePrice < candle.OpenPrice
is_above_sma = float(candle.ClosePrice) > sv
is_below_sma = float(candle.ClosePrice) < sv
if self.Position == 0 and is_bullish and is_above_sma:
self.BuyMarket()
self._cooldown = cd
elif self.Position == 0 and is_bearish and is_below_sma:
self.SellMarket()
self._cooldown = cd
elif self.Position > 0 and is_below_sma:
self.SellMarket()
self._cooldown = cd
elif self.Position < 0 and is_above_sma:
self.BuyMarket()
self._cooldown = cd
def CreateClone(self):
return dark_pool_prints_strategy()