Directed Movement 策略
概述
该策略复刻了 MetaTrader 中的 Directed Movement 智能交易系统。它先计算相对强弱指数(RSI),然后通过两次移动平均进行平滑:第一次平滑得到快速线,第二次平滑得到慢速线。
交易信号基于这两条线的反向交叉:
- 当快速线向下穿越慢速线时买入;
- 当快速线向上穿越慢速线时卖出;
止损和止盈可以按入场价格的百分比设置。
指标
RelativeStrengthIndex—— 基础动量指标;MovingAverage—— RSI 的第一次平滑(快速线);MovingAverage—— 快速线的第二次平滑(慢速线)。
交易规则
- 使用收盘价计算 RSI;
- 用第一条移动平均线平滑 RSI,得到快速线;
- 再用第二条移动平均线平滑快速线,得到慢速线;
- 当快速线从上向下穿越慢速线时开多,并在必要时平掉空头;
- 当快速线从下向上穿越慢速线时开空,并在必要时平掉多头;
- 如设置了止损或止盈,则在交易保护中使用它们。
参数
| 名称 | 说明 |
|---|---|
CandleType |
用于计算的蜡烛序列类型; |
RsiPeriod |
RSI 的周期; |
FirstMaType |
快速线使用的移动平均类型; |
FirstMaLength |
快速线的周期; |
SecondMaType |
慢速线使用的移动平均类型; |
SecondMaLength |
慢速线的周期; |
StopLossPercent |
以百分比表示的止损; |
TakeProfitPercent |
以百分比表示的止盈; |
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>
/// Directed Movement Strategy - RSI cross system with two MA smoothing.
/// </summary>
public class DirectedMovementStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<int> _fastMaLength;
private readonly StrategyParam<int> _slowMaLength;
private ExponentialMovingAverage _fastMa;
private ExponentialMovingAverage _slowMa;
private decimal _prevFast;
private decimal _prevSlow;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public int FastMaLength { get => _fastMaLength.Value; set => _fastMaLength.Value = value; }
public int SlowMaLength { get => _slowMaLength.Value; set => _slowMaLength.Value = value; }
public DirectedMovementStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetDisplay("RSI Period", "RSI calculation period", "Indicators");
_fastMaLength = Param(nameof(FastMaLength), 12)
.SetDisplay("Fast MA Length", "Period of fast moving average", "Indicators");
_slowMaLength = Param(nameof(SlowMaLength), 5)
.SetDisplay("Slow MA Length", "Period of slow moving average", "Indicators");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_fastMa = null;
_slowMa = null;
_prevFast = 0m;
_prevSlow = 0m;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevFast = 0m;
_prevSlow = 0m;
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
_fastMa = new ExponentialMovingAverage { Length = FastMaLength };
_slowMa = new ExponentialMovingAverage { Length = SlowMaLength };
Indicators.Add(_fastMa);
Indicators.Add(_slowMa);
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(rsi, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, rsi);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
var t = candle.ServerTime;
var fastResult = _fastMa.Process(new DecimalIndicatorValue(_fastMa, rsiValue, t) { IsFinal = true });
if (!_fastMa.IsFormed)
return;
var fast = fastResult.GetValue<decimal>();
var slowResult = _slowMa.Process(new DecimalIndicatorValue(_slowMa, fast, t) { IsFinal = true });
if (!_slowMa.IsFormed)
{
_prevFast = fast;
_prevSlow = fast;
return;
}
var slow = slowResult.GetValue<decimal>();
if (!IsFormedAndOnlineAndAllowTrading())
{
_prevFast = fast;
_prevSlow = slow;
return;
}
// Crossover: fast crosses below slow -> buy
if (_prevFast > _prevSlow && fast <= slow && Position <= 0)
BuyMarket();
// Crossover: fast crosses above slow -> sell
else if (_prevFast < _prevSlow && fast >= slow && Position >= 0)
SellMarket();
_prevFast = fast;
_prevSlow = slow;
}
}
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 RelativeStrengthIndex, ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
from indicator_extensions import *
class directed_movement_strategy(Strategy):
def __init__(self):
super(directed_movement_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI Period", "RSI calculation period", "Indicators")
self._fast_ma_length = self.Param("FastMaLength", 12) \
.SetDisplay("Fast MA Length", "Period of fast moving average", "Indicators")
self._slow_ma_length = self.Param("SlowMaLength", 5) \
.SetDisplay("Slow MA Length", "Period of slow moving average", "Indicators")
self._fast_ma = None
self._slow_ma = None
self._prev_fast = 0.0
self._prev_slow = 0.0
@property
def candle_type(self):
return self._candle_type.Value
@property
def rsi_period(self):
return self._rsi_period.Value
@property
def fast_ma_length(self):
return self._fast_ma_length.Value
@property
def slow_ma_length(self):
return self._slow_ma_length.Value
def OnReseted(self):
super(directed_movement_strategy, self).OnReseted()
self._fast_ma = None
self._slow_ma = None
self._prev_fast = 0.0
self._prev_slow = 0.0
def OnStarted2(self, time):
super(directed_movement_strategy, self).OnStarted2(time)
self._prev_fast = 0.0
self._prev_slow = 0.0
rsi = RelativeStrengthIndex()
rsi.Length = self.rsi_period
self._fast_ma = ExponentialMovingAverage()
self._fast_ma.Length = self.fast_ma_length
self._slow_ma = ExponentialMovingAverage()
self._slow_ma.Length = self.slow_ma_length
self.Indicators.Add(self._fast_ma)
self.Indicators.Add(self._slow_ma)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(rsi, self.process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, rsi)
self.DrawOwnTrades(area)
def process_candle(self, candle, rsi_value):
if candle.State != CandleStates.Finished:
return
rsi_value = float(rsi_value)
t = candle.ServerTime
fast_result = process_float(self._fast_ma, rsi_value, t, True)
if not self._fast_ma.IsFormed:
return
fast = float(fast_result)
slow_result = process_float(self._slow_ma, fast, t, True)
if not self._slow_ma.IsFormed:
self._prev_fast = fast
self._prev_slow = fast
return
slow = float(slow_result)
if self._prev_fast > self._prev_slow and fast <= slow and self.Position <= 0:
self.BuyMarket()
elif self._prev_fast < self._prev_slow and fast >= slow and self.Position >= 0:
self.SellMarket()
self._prev_fast = fast
self._prev_slow = slow
def CreateClone(self):
return directed_movement_strategy()