累积差分突破 (Cumulative Delta Breakout)
累积买卖量差突破历史区间时入场。
测试表明年均收益约为 49%,该策略在加密市场表现最佳。
当差分回到零或止损触发时退出。
详情
- 入场条件: Cumulative delta exceeds highest or lowest value in lookback.
- 多空方向: Both directions.
- 出场条件: Delta crosses zero or stop.
- 止损: Yes.
- 默认值:
LookbackPeriod= 20CandleType= TimeSpan.FromMinutes(5)
- 过滤器:
- 类别: Breakout
- 方向: Both
- 指标: Cumulative Delta
- 止损: Yes
- 复杂度: Intermediate
- 时间框架: Intraday
- 季节性: No
- 神经网络: No
- 背离: No
- 风险等级: 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>
/// Cumulative Delta Breakout strategy.
/// Estimates delta from candle direction and volume.
/// Long: Cumulative delta rising and price above SMA.
/// Short: Cumulative delta falling and price below SMA.
/// </summary>
public class CumulativeDeltaBreakoutStrategy : Strategy
{
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private decimal _cumulativeDelta;
private decimal _prevDelta;
private int _cooldown;
/// <summary>
/// MA Period.
/// </summary>
public int MAPeriod
{
get => _maPeriod.Value;
set => _maPeriod.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 <see cref="CumulativeDeltaBreakoutStrategy"/>.
/// </summary>
public CumulativeDeltaBreakoutStrategy()
{
_maPeriod = Param(nameof(MAPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("MA Period", "Period for SMA", "Indicators")
.SetOptimize(10, 50, 10);
_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();
_cumulativeDelta = default;
_prevDelta = default;
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_cumulativeDelta = 0;
_prevDelta = 0;
_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;
// Estimate delta from candle: bullish candle adds volume, bearish subtracts
var delta = candle.ClosePrice >= candle.OpenPrice
? candle.TotalVolume
: -candle.TotalVolume;
_cumulativeDelta += delta;
if (_prevDelta == 0)
{
_prevDelta = _cumulativeDelta;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_prevDelta = _cumulativeDelta;
return;
}
var deltaRising = _cumulativeDelta > _prevDelta;
if (Position == 0)
{
if (deltaRising && candle.ClosePrice > smaValue)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (!deltaRising && candle.ClosePrice < smaValue)
{
SellMarket();
_cooldown = CooldownBars;
}
}
else if (Position > 0 && !deltaRising)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position < 0 && deltaRising)
{
BuyMarket();
_cooldown = CooldownBars;
}
_prevDelta = _cumulativeDelta;
}
}
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 cumulative_delta_breakout_strategy(Strategy):
"""
Cumulative Delta Breakout strategy.
Estimates delta from candle direction and volume.
Long: Cumulative delta rising and price above SMA.
Short: Cumulative delta falling and price below SMA.
"""
def __init__(self):
super(cumulative_delta_breakout_strategy, self).__init__()
self._ma_period = self.Param("MAPeriod", 20).SetDisplay("MA Period", "Period for SMA", "Indicators")
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._cumulative_delta = 0.0
self._prev_delta = 0.0
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(cumulative_delta_breakout_strategy, self).OnReseted()
self._cumulative_delta = 0.0
self._prev_delta = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(cumulative_delta_breakout_strategy, self).OnStarted2(time)
self._cumulative_delta = 0.0
self._prev_delta = 0.0
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
# Estimate delta from candle: bullish adds volume, bearish subtracts
vol = float(candle.TotalVolume)
if float(candle.ClosePrice) >= float(candle.OpenPrice):
delta = vol
else:
delta = -vol
self._cumulative_delta += delta
if self._prev_delta == 0:
self._prev_delta = self._cumulative_delta
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_delta = self._cumulative_delta
return
delta_rising = self._cumulative_delta > self._prev_delta
close = float(candle.ClosePrice)
sv = float(sma_val)
cd = self._cooldown_bars.Value
if self.Position == 0:
if delta_rising and close > sv:
self.BuyMarket()
self._cooldown = cd
elif not delta_rising and close < sv:
self.SellMarket()
self._cooldown = cd
elif self.Position > 0 and not delta_rising:
self.SellMarket()
self._cooldown = cd
elif self.Position < 0 and delta_rising:
self.BuyMarket()
self._cooldown = cd
self._prev_delta = self._cumulative_delta
def CreateClone(self):
return cumulative_delta_breakout_strategy()