Fractal AMA MBK 交叉策略
概述
Fractal AMA MBK 交叉策略将 Fractal Adaptive Moving Average (FRAMA) 与 指数移动平均线 (EMA) 触发线结合使用。当 FRAMA 与 EMA 相交时产生交易信号。
工作原理
- FRAMA 根据价格波动的分形维度自动调整平滑系数。
- EMA 作为触发线,对价格数据进行平滑。
- 做多: 当 FRAMA 向上穿越 EMA 且当前没有多单时开多。
- 做空: 当 FRAMA 向下穿越 EMA 且当前没有空单时开空。
- 可选的止损和止盈用于保护已打开的仓位。
参数
| 名称 | 说明 |
|---|---|
CandleType |
计算所用的蜡烛类型和时间框架(默认:4 小时)。 |
FramaPeriod |
FRAMA 指标的周期。 |
SignalPeriod |
EMA 触发线的周期。 |
StopLoss |
距离开仓价的止损(价格单位,0 表示关闭)。 |
TakeProfit |
距离开仓价的止盈(价格单位,0 表示关闭)。 |
Volume |
交易手数。 |
备注
- 仅处理已完成的蜡烛。
- 交易通过市价单 (
BuyMarket/SellMarket) 执行。 FramaPeriod和SignalPeriod参数支持优化。
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>
/// Fractal AMA MBK crossover strategy.
/// Uses FRAMA and a signal EMA to generate trade signals on crossover.
/// </summary>
public class FractalAmaMbkStrategy : Strategy
{
private readonly StrategyParam<int> _framaPeriod;
private readonly StrategyParam<int> _signalPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFrama;
private decimal _prevSignal;
private bool _isFirst = true;
public int FramaPeriod { get => _framaPeriod.Value; set => _framaPeriod.Value = value; }
public int SignalPeriod { get => _signalPeriod.Value; set => _signalPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public FractalAmaMbkStrategy()
{
_framaPeriod = Param(nameof(FramaPeriod), 18)
.SetGreaterThanZero()
.SetDisplay("FRAMA Period", "Period for Fractal Adaptive Moving Average", "Indicator");
_signalPeriod = Param(nameof(SignalPeriod), 18)
.SetGreaterThanZero()
.SetDisplay("Signal EMA Period", "Period for signal EMA", "Indicator");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFrama = default;
_prevSignal = default;
_isFirst = true;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_isFirst = true;
var frama = new FractalAdaptiveMovingAverage { Length = FramaPeriod };
var signal = new ExponentialMovingAverage { Length = SignalPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(frama, signal, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, frama);
DrawIndicator(area, signal);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal framaValue, decimal signalValue)
{
if (candle.State != CandleStates.Finished)
return;
if (_isFirst)
{
_prevFrama = framaValue;
_prevSignal = signalValue;
_isFirst = false;
return;
}
// Detect crossover
var wasAbove = _prevFrama > _prevSignal;
var isAbove = framaValue > signalValue;
if (!wasAbove && isAbove && Position <= 0)
{
// FRAMA crossed above signal -> buy
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (wasAbove && !isAbove && Position >= 0)
{
// FRAMA crossed below signal -> sell
if (Position > 0) SellMarket();
SellMarket();
}
_prevFrama = framaValue;
_prevSignal = signalValue;
}
}
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 FractalAdaptiveMovingAverage, ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class fractal_ama_mbk_strategy(Strategy):
def __init__(self):
super(fractal_ama_mbk_strategy, self).__init__()
self._frama_period = self.Param("FramaPeriod", 18) \
.SetDisplay("FRAMA Period", "Period for Fractal Adaptive Moving Average", "Indicator")
self._signal_period = self.Param("SignalPeriod", 18) \
.SetDisplay("Signal EMA Period", "Period for signal EMA", "Indicator")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_frama = 0.0
self._prev_signal = 0.0
self._is_first = True
@property
def FramaPeriod(self):
return self._frama_period.Value
@FramaPeriod.setter
def FramaPeriod(self, value):
self._frama_period.Value = value
@property
def SignalPeriod(self):
return self._signal_period.Value
@SignalPeriod.setter
def SignalPeriod(self, value):
self._signal_period.Value = value
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
def OnStarted2(self, time):
super(fractal_ama_mbk_strategy, self).OnStarted2(time)
self._is_first = True
frama = FractalAdaptiveMovingAverage()
frama.Length = self.FramaPeriod
signal = ExponentialMovingAverage()
signal.Length = self.SignalPeriod
self.SubscribeCandles(self.CandleType) \
.Bind(frama, signal, self.ProcessCandle) \
.Start()
def ProcessCandle(self, candle, frama_value, signal_value):
if candle.State != CandleStates.Finished:
return
frama = float(frama_value)
signal = float(signal_value)
if self._is_first:
self._prev_frama = frama
self._prev_signal = signal
self._is_first = False
return
was_above = self._prev_frama > self._prev_signal
is_above = frama > signal
if not was_above and is_above and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif was_above and not is_above and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_frama = frama
self._prev_signal = signal
def OnReseted(self):
super(fractal_ama_mbk_strategy, self).OnReseted()
self._prev_frama = 0.0
self._prev_signal = 0.0
self._is_first = True
def CreateClone(self):
return fractal_ama_mbk_strategy()