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MACD Diver and RSI 策略
概览
该策略是 “Macd diver and rsi” MetaTrader 5 智能交易系统的 C# 版本。策略保持原始的双阶段信号设计:RSI 负责识别超买或超卖极值,而 MACD 直方图用于确认动能是否重新转向。多头与空头拥有独立的参数,因此可以分别微调多空逻辑。
策略只订阅一个时间框架的蜡烛(可配置),并通过市价单直接交易所选标的。指标更新通过 BindEx 的高级 API 实现,满足项目指南。
交易逻辑
- 指标初始化
- 创建两个 RSI 指标,分别用于多头与空头信号,具有独立周期和阈值。
- 创建两个
MovingAverageConvergenceDivergenceSignal 指标,按照多头和空头的 MACD 设定运行。它们的直方图分量用于检测动能反转。
- 入场条件
- 多头:当多头 RSI 低于(或等于)超卖阈值,同时多头 MACD 直方图由负转正,即可开多。如果当前持有空头,则在同一笔市价单中平仓并反手做多。
- 空头:当空头 RSI 高于(或等于)超买阈值,同时空头 MACD 直方图由正转负,即可开空。若存在多头仓位,将先平掉再建立新的空头。
- 风险控制
- 每次入场后,用信号蜡烛的收盘价作为参考价。
- 根据多头与空头各自的止损/止盈参数,计算相对于参考价的价格水平。
- 策略通过
PriceStep 把“点”(pip)转换为价格差,对 3 或 5 位小数的品种自动乘以 10,以贴近 MT5 的点值规则。
- 每根完成的蜡烛都会检查高低价是否触及止损或止盈,一旦命中立即通过市价单平仓。
- 仓位管理
- 当仓位归零(止损、止盈或反向信号导致)时,相关状态会被重置。
- 策略不做分批减仓或移动止损,只使用固定的止损/止盈。
参数说明
CandleType:用于计算信号的蜡烛时间框。
LongRsiPeriod、ShortRsiPeriod:多头与空头 RSI 周期。
LongRsiThreshold、ShortRsiThreshold:触发信号的 RSI 阈值(多头为超卖,空头为超买)。
LongMacdFastLength、LongMacdSlowLength、LongMacdSignalLength:多头 MACD 的快/慢 EMA 以及信号 EMA 周期。
ShortMacdFastLength、ShortMacdSlowLength、ShortMacdSignalLength:空头 MACD 的 EMA 设置。
LongVolume、ShortVolume:每次开仓的交易量。若需要反手,会在同一笔订单中加上已有仓位的绝对值。
LongStopLossPips、LongTakeProfitPips、ShortStopLossPips、ShortTakeProfitPips:多头与空头的止损/止盈点数,设置为 0 则禁用。
使用提示
- 请确保标的具有有效的
PriceStep,否则点值转换会退回默认的 0.0001。
- 由于多空指标独立,可对不同方向使用不同的过滤,例如收紧空头的超买阈值而保持多头更宽松。
- 代码包含英文注释,帮助理解策略流程并符合项目要求。
namespace StockSharp.Samples.Strategies;
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
/// <summary>
/// MACD Diver And RSI strategy: RSI extremes + MACD histogram crossover.
/// Buys when RSI below 30 and MACD histogram crosses above zero.
/// Sells when RSI above 70 and MACD histogram crosses below zero.
/// </summary>
public class MacdDiverAndRsiStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _rsiPeriod;
private decimal _prevHistogram;
private decimal _prevRsi;
private bool _hasPrev;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public MacdDiverAndRsiStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "RSI period", "Indicators");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevHistogram = 0;
_prevRsi = 0;
_hasPrev = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_hasPrev = false;
var macd = new MovingAverageConvergenceDivergenceSignal
{
Macd = { ShortMa = { Length = 12 }, LongMa = { Length = 26 } },
SignalMa = { Length = 9 }
};
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.BindEx(macd, rsi, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue macdValue, IIndicatorValue rsiValue)
{
if (candle.State != CandleStates.Finished) return;
if (!macdValue.IsFinal || !rsiValue.IsFinal) return;
if (macdValue is not MovingAverageConvergenceDivergenceSignalValue typed) return;
if (typed.Macd is not decimal macdMain || typed.Signal is not decimal signal) return;
var histogram = macdMain - signal;
var rsi = rsiValue.ToDecimal();
if (_hasPrev)
{
if (_prevHistogram <= 0 && histogram > 0 && _prevRsi < 35 && Position <= 0)
BuyMarket();
else if (_prevHistogram >= 0 && histogram < 0 && _prevRsi > 65 && Position >= 0)
SellMarket();
}
_prevHistogram = histogram;
_prevRsi = rsi;
_hasPrev = true;
}
}
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 MovingAverageConvergenceDivergenceSignal, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class macd_diver_and_rsi_strategy(Strategy):
def __init__(self):
super(macd_diver_and_rsi_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5)))
self._rsi_period = self.Param("RsiPeriod", 14)
self._prev_histogram = 0.0
self._prev_rsi = 0.0
self._has_prev = False
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
@property
def RsiPeriod(self):
return self._rsi_period.Value
@RsiPeriod.setter
def RsiPeriod(self, value):
self._rsi_period.Value = value
def OnReseted(self):
super(macd_diver_and_rsi_strategy, self).OnReseted()
self._prev_histogram = 0.0
self._prev_rsi = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(macd_diver_and_rsi_strategy, self).OnStarted2(time)
self._has_prev = False
macd = MovingAverageConvergenceDivergenceSignal()
macd.Macd.ShortMa.Length = 12
macd.Macd.LongMa.Length = 26
macd.SignalMa.Length = 9
rsi = RelativeStrengthIndex()
rsi.Length = self.RsiPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.BindEx(macd, rsi, self._process_candle).Start()
def _process_candle(self, candle, macd_value, rsi_value):
if candle.State != CandleStates.Finished:
return
if not macd_value.IsFinal or not rsi_value.IsFinal:
return
if macd_value.Macd is None or macd_value.Signal is None:
return
macd_main = float(macd_value.Macd)
signal = float(macd_value.Signal)
histogram = macd_main - signal
rsi_val = float(rsi_value)
if self._has_prev:
if self._prev_histogram <= 0 and histogram > 0 and self._prev_rsi < 35 and self.Position <= 0:
self.BuyMarket()
elif self._prev_histogram >= 0 and histogram < 0 and self._prev_rsi > 65 and self.Position >= 0:
self.SellMarket()
self._prev_histogram = histogram
self._prev_rsi = rsi_val
self._has_prev = True
def CreateClone(self):
return macd_diver_and_rsi_strategy()