MaDelta策略
MaDelta策略计算快慢移动平均线之间的差值。该差值先乘以系数再立方,形成振荡值px。两个由Delta(以点数表示)间隔的动态阈值跟踪px的最新高点和低点。当px突破上阈值时,策略转为做多;当px跌破下阈值时,策略转为做空。若当前持仓与新信号方向相反,先平仓再按信号方向开仓。
该方法能够捕捉到两条均线距离快速扩张时的强劲动能。立方运算放大了大的变化并过滤小幅波动。参数Delta定义了px在确认反转前需要移动的距离,从而减少震荡行情中的虚假信号。
细节
- 入场条件:
- 做多:
px > hi设置trade = 1,在空仓时开多。 - 做空:
px < lo设置trade = -1,在空仓时开空。
- 做多:
- 反向逻辑:
- 做多信号出现且持有空单时,先用市价买单平空再开多。
- 做空信号出现且持有多单时,先用市价卖单平多再开空。
- 指标:
- 快速移动平均线(SMA),周期为
FastMaPeriod。 - 慢速移动平均线(EMA),周期为
SlowMaPeriod。 - 振荡器:
px = ((Multiplier * 0.1) * (FastMA - SlowMA))^3。
- 快速移动平均线(SMA),周期为
- 参数:
Delta– 高低通道的宽度(点)。Multiplier– 在立方之前对均线差值进行缩放。FastMaPeriod– 快速SMA的周期。SlowMaPeriod– 慢速EMA的周期。Volume– 入场订单量。CandleType– 处理的K线周期。
- 其他说明:
- 仅处理已完成的K线。
- 无固定止损或止盈,反向信号时反手。
- 使用高级API绑定指标并自动绘图。
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>
/// Moving Average Delta strategy. Trades when the cubed amplified difference
/// between fast and slow moving averages crosses dynamic thresholds.
/// </summary>
public class MaDeltaStrategy : Strategy
{
private readonly StrategyParam<int> _delta;
private readonly StrategyParam<int> _multiplier;
private readonly StrategyParam<int> _fastMaPeriod;
private readonly StrategyParam<int> _slowMaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _hi;
private decimal _lo;
private bool _isInit;
private int _trade;
private decimal _deltaStep;
private decimal _multiplierFactor;
public int Delta { get => _delta.Value; set => _delta.Value = value; }
public int Multiplier { get => _multiplier.Value; set => _multiplier.Value = value; }
public int FastMaPeriod { get => _fastMaPeriod.Value; set => _fastMaPeriod.Value = value; }
public int SlowMaPeriod { get => _slowMaPeriod.Value; set => _slowMaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public MaDeltaStrategy()
{
_delta = Param(nameof(Delta), 195)
.SetDisplay("Delta (pips)", "Hi-Lo threshold in pips", "General")
.SetOptimize(50, 300, 5);
_multiplier = Param(nameof(Multiplier), 392)
.SetDisplay("Multiplier", "Amplifier for MA difference", "General")
.SetOptimize(100, 500, 10);
_fastMaPeriod = Param(nameof(FastMaPeriod), 26)
.SetDisplay("Fast MA Period", "Period for fast moving average", "Indicators")
.SetOptimize(5, 50, 1);
_slowMaPeriod = Param(nameof(SlowMaPeriod), 51)
.SetDisplay("Slow MA Period", "Period for slow moving average", "Indicators")
.SetOptimize(10, 100, 1);
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_hi = 0m;
_lo = 0m;
_isInit = false;
_trade = 0;
_deltaStep = 0m;
_multiplierFactor = 0m;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_hi = 0m;
_lo = 0m;
_isInit = false;
_trade = 0;
_deltaStep = Delta * 0.00001m;
_multiplierFactor = Multiplier * 0.1m;
var fastMa = new ExponentialMovingAverage { Length = FastMaPeriod };
var slowMa = new ExponentialMovingAverage { Length = SlowMaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fastMa, slowMa, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fastMa);
DrawIndicator(area, slowMa);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fastMaValue, decimal slowMaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var diff = _multiplierFactor * (fastMaValue - slowMaValue);
var px = (decimal)Math.Pow((double)diff, 3);
if (!_isInit)
{
_hi = 0m;
_lo = 0m;
_trade = 0;
_isInit = true;
}
if (px > _hi)
{
_hi = px;
_lo = _hi - _deltaStep;
_trade = 1;
}
else if (px < _lo)
{
_lo = px;
_hi = _lo + _deltaStep;
_trade = -1;
}
if (_trade == 1 && Position <= 0)
BuyMarket();
else if (_trade == -1 && Position >= 0)
SellMarket();
}
}
import clr
import math
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 ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class ma_delta_strategy(Strategy):
def __init__(self):
super(ma_delta_strategy, self).__init__()
self._delta = self.Param("Delta", 195) \
.SetDisplay("Delta (pips)", "Hi-Lo threshold in pips", "General")
self._multiplier = self.Param("Multiplier", 392) \
.SetDisplay("Multiplier", "Amplifier for MA difference", "General")
self._fast_ma_period = self.Param("FastMaPeriod", 26) \
.SetDisplay("Fast MA Period", "Period for fast moving average", "Indicators")
self._slow_ma_period = self.Param("SlowMaPeriod", 51) \
.SetDisplay("Slow MA Period", "Period for slow moving average", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._hi = 0.0
self._lo = 0.0
self._is_init = False
self._trade = 0
self._delta_step = 0.0
self._multiplier_factor = 0.0
@property
def delta(self):
return self._delta.Value
@property
def multiplier(self):
return self._multiplier.Value
@property
def fast_ma_period(self):
return self._fast_ma_period.Value
@property
def slow_ma_period(self):
return self._slow_ma_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(ma_delta_strategy, self).OnReseted()
self._hi = 0.0
self._lo = 0.0
self._is_init = False
self._trade = 0
self._delta_step = 0.0
self._multiplier_factor = 0.0
def OnStarted2(self, time):
super(ma_delta_strategy, self).OnStarted2(time)
self._hi = 0.0
self._lo = 0.0
self._is_init = False
self._trade = 0
self._delta_step = float(self.delta) * 0.00001
self._multiplier_factor = float(self.multiplier) * 0.1
fast_ma = ExponentialMovingAverage()
fast_ma.Length = self.fast_ma_period
slow_ma = ExponentialMovingAverage()
slow_ma.Length = self.slow_ma_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ma, slow_ma, self.process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast_ma)
self.DrawIndicator(area, slow_ma)
self.DrawOwnTrades(area)
def process_candle(self, candle, fast_ma_value, slow_ma_value):
if candle.State != CandleStates.Finished:
return
fast_ma_value = float(fast_ma_value)
slow_ma_value = float(slow_ma_value)
diff = self._multiplier_factor * (fast_ma_value - slow_ma_value)
px = math.pow(diff, 3)
if not self._is_init:
self._hi = 0.0
self._lo = 0.0
self._trade = 0
self._is_init = True
if px > self._hi:
self._hi = px
self._lo = self._hi - self._delta_step
self._trade = 1
elif px < self._lo:
self._lo = px
self._hi = self._lo + self._delta_step
self._trade = -1
if self._trade == 1 and self.Position <= 0:
self.BuyMarket()
elif self._trade == -1 and self.Position >= 0:
self.SellMarket()
def CreateClone(self):
return ma_delta_strategy()