Three Signal Directional Trend 策略
Three Signal Directional Trend 策略结合 MACD、随机指标和移动平均变化率 (ROC) 三个信号来判断趋势。当至少两个信号方向一致时开仓。多重确认有助于过滤噪音并跟随主要趋势。
细节
- 入场条件:
- 三个信号中至少两个一致。
- 做多:MACD 信号上升、随机指标低于超卖、MA ROC 为正。
- 做空:MACD 信号下降、随机指标高于超买、MA ROC 为负。
- 多空方向:双向。
- 出场条件:
- 反向信号。
- 止损:无。
- 默认值:
AvgLength= 50RocLength= 1AvgRocLength= 10StochLength= 14SmoothK= 3Overbought= 80Oversold= 20MacdFastLength= 12MacdSlowLength= 26MacdAvgLength= 9
- 过滤器:
- 分类:趋势跟随
- 方向:双向
- 指标:MACD、Stochastic、SMA、ROC
- 止损:无
- 复杂度:低
- 时间框架:任意
- 季节性:无
- 神经网络:无
- 背离:无
- 风险等级:中
namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
/// <summary>
/// Three Signal Directional Trend Strategy.
/// Combines MACD, Stochastic, and RSI signals.
/// Enters when at least 2 of 3 indicators agree on direction.
/// </summary>
public class ThreeSignalDirectionalTrendStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _macdFastLength;
private readonly StrategyParam<int> _macdSlowLength;
private readonly StrategyParam<int> _macdAvgLength;
private readonly StrategyParam<int> _rsiLength;
private readonly StrategyParam<int> _cooldownBars;
private MovingAverageConvergenceDivergenceSignal _macd;
private StochasticOscillator _stochastic;
private RelativeStrengthIndex _rsi;
private decimal _prevMacdSignal;
private bool _macdInit;
private int _cooldownRemaining;
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public int MacdFastLength
{
get => _macdFastLength.Value;
set => _macdFastLength.Value = value;
}
public int MacdSlowLength
{
get => _macdSlowLength.Value;
set => _macdSlowLength.Value = value;
}
public int MacdAvgLength
{
get => _macdAvgLength.Value;
set => _macdAvgLength.Value = value;
}
public int RsiLength
{
get => _rsiLength.Value;
set => _rsiLength.Value = value;
}
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
public ThreeSignalDirectionalTrendStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_macdFastLength = Param(nameof(MacdFastLength), 12)
.SetGreaterThanZero()
.SetDisplay("MACD Fast", "Fast EMA length", "MACD");
_macdSlowLength = Param(nameof(MacdSlowLength), 26)
.SetGreaterThanZero()
.SetDisplay("MACD Slow", "Slow EMA length", "MACD");
_macdAvgLength = Param(nameof(MacdAvgLength), 9)
.SetGreaterThanZero()
.SetDisplay("MACD Signal", "Signal EMA length", "MACD");
_rsiLength = Param(nameof(RsiLength), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Length", "RSI period", "RSI");
_cooldownBars = Param(nameof(CooldownBars), 10)
.SetDisplay("Cooldown Bars", "Bars between trades", "Risk");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_macd = null;
_stochastic = null;
_rsi = null;
_prevMacdSignal = 0;
_macdInit = false;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_macd = new MovingAverageConvergenceDivergenceSignal
{
Macd = { ShortMa = { Length = MacdFastLength }, LongMa = { Length = MacdSlowLength } },
SignalMa = { Length = MacdAvgLength }
};
_stochastic = new StochasticOscillator
{
K = { Length = 14 },
D = { Length = 3 }
};
_rsi = new RelativeStrengthIndex { Length = RsiLength };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(_macd, _stochastic, _rsi, OnProcess)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void OnProcess(ICandleMessage candle, IIndicatorValue macdVal, IIndicatorValue stochVal, IIndicatorValue rsiVal)
{
if (candle.State != CandleStates.Finished)
return;
if (!_macd.IsFormed || !_stochastic.IsFormed || !_rsi.IsFormed)
return;
if (macdVal.IsEmpty || stochVal.IsEmpty || rsiVal.IsEmpty)
return;
var macdTyped = (MovingAverageConvergenceDivergenceSignalValue)macdVal;
if (macdTyped.Signal is not decimal macdSignal)
return;
var stochTyped = (StochasticOscillatorValue)stochVal;
if (stochTyped.K is not decimal stochK)
return;
var rsi = rsiVal.ToDecimal();
if (!IsFormedAndOnlineAndAllowTrading())
{
_prevMacdSignal = macdSignal;
_macdInit = true;
return;
}
if (!_macdInit)
{
_prevMacdSignal = macdSignal;
_macdInit = true;
return;
}
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_prevMacdSignal = macdSignal;
return;
}
var longCount = 0;
var shortCount = 0;
// MACD signal rising/falling
if (macdSignal > _prevMacdSignal)
longCount++;
else if (macdSignal < _prevMacdSignal)
shortCount++;
// Stochastic oversold/overbought
if (stochK <= 20)
longCount++;
else if (stochK >= 80)
shortCount++;
// RSI direction
if (rsi < 40)
longCount++;
else if (rsi > 60)
shortCount++;
// Trade when at least 2 signals agree
if (longCount >= 2 && Position <= 0)
{
if (Position < 0)
BuyMarket(Math.Abs(Position));
BuyMarket(Volume);
_cooldownRemaining = CooldownBars;
}
else if (shortCount >= 2 && Position >= 0)
{
if (Position > 0)
SellMarket(Math.Abs(Position));
SellMarket(Volume);
_cooldownRemaining = CooldownBars;
}
_prevMacdSignal = macdSignal;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import (MovingAverageConvergenceDivergenceSignal, StochasticOscillator,
RelativeStrengthIndex, IndicatorHelper)
from StockSharp.Algo.Strategies import Strategy
class three_signal_directional_trend_strategy(Strategy):
"""Three Signal Directional Trend Strategy."""
def __init__(self):
super(three_signal_directional_trend_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(30))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._macd_fast_length = self.Param("MacdFastLength", 12) \
.SetDisplay("MACD Fast", "Fast EMA length", "MACD")
self._macd_slow_length = self.Param("MacdSlowLength", 26) \
.SetDisplay("MACD Slow", "Slow EMA length", "MACD")
self._macd_avg_length = self.Param("MacdAvgLength", 9) \
.SetDisplay("MACD Signal", "Signal EMA length", "MACD")
self._rsi_length = self.Param("RsiLength", 14) \
.SetDisplay("RSI Length", "RSI period", "RSI")
self._cooldown_bars = self.Param("CooldownBars", 10) \
.SetDisplay("Cooldown Bars", "Bars between trades", "Risk")
self._macd = None
self._stochastic = None
self._rsi = None
self._prev_macd_signal = 0.0
self._macd_init = False
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(three_signal_directional_trend_strategy, self).OnReseted()
self._macd = None
self._stochastic = None
self._rsi = None
self._prev_macd_signal = 0.0
self._macd_init = False
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(three_signal_directional_trend_strategy, self).OnStarted2(time)
self._macd = MovingAverageConvergenceDivergenceSignal()
self._macd.Macd.ShortMa.Length = int(self._macd_fast_length.Value)
self._macd.Macd.LongMa.Length = int(self._macd_slow_length.Value)
self._macd.SignalMa.Length = int(self._macd_avg_length.Value)
self._stochastic = StochasticOscillator()
self._stochastic.K.Length = 14
self._stochastic.D.Length = 3
self._rsi = RelativeStrengthIndex()
self._rsi.Length = int(self._rsi_length.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(self._macd, self._stochastic, self._rsi, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def _on_process(self, candle, macd_val, stoch_val, rsi_val):
if candle.State != CandleStates.Finished:
return
if not self._macd.IsFormed or not self._stochastic.IsFormed or not self._rsi.IsFormed:
return
if macd_val.IsEmpty or stoch_val.IsEmpty or rsi_val.IsEmpty:
return
if macd_val.Signal is None:
return
macd_signal = float(macd_val.Signal)
if stoch_val.K is None:
return
stoch_k = float(stoch_val.K)
rsi = float(IndicatorHelper.ToDecimal(rsi_val))
if not self.IsFormedAndOnlineAndAllowTrading():
self._prev_macd_signal = macd_signal
self._macd_init = True
return
if not self._macd_init:
self._prev_macd_signal = macd_signal
self._macd_init = True
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
self._prev_macd_signal = macd_signal
return
cooldown = int(self._cooldown_bars.Value)
long_count = 0
short_count = 0
if macd_signal > self._prev_macd_signal:
long_count += 1
elif macd_signal < self._prev_macd_signal:
short_count += 1
if stoch_k <= 20:
long_count += 1
elif stoch_k >= 80:
short_count += 1
if rsi < 40:
long_count += 1
elif rsi > 60:
short_count += 1
if long_count >= 2 and self.Position <= 0:
if self.Position < 0:
self.BuyMarket(Math.Abs(self.Position))
self.BuyMarket(self.Volume)
self._cooldown_remaining = cooldown
elif short_count >= 2 and self.Position >= 0:
if self.Position > 0:
self.SellMarket(Math.Abs(self.Position))
self.SellMarket(self.Volume)
self._cooldown_remaining = cooldown
self._prev_macd_signal = macd_signal
def CreateClone(self):
return three_signal_directional_trend_strategy()