2pbIdeal XOSMA 策略
该策略是 MQL5 专家顾问 Exp_2pbIdealXOSMA 的 C# 版本。它通过观察 MACD 直方图的斜率来判断市场动量。当直方图连续两个柱上升时,系统做多并平掉所有空单;当直方图连续两个柱下降时,系统做空并平掉所有多单。
默认使用 4 小时蜡烛图,但可以调整时间框架。所有交易均以市价执行,当出现反向信号时头寸会反转。示例中未实现止损和止盈,如有需要可在外部添加风险控制。
细节
- 入场条件:
- 做多:
t-1柱的直方图低于t-2,且当前直方图高于t-1。 - 做空:
t-1柱的直方图高于t-2,且当前直方图低于t-1。
- 做多:
- 多空方向:同时支持。
- 出场条件:反向信号关闭当前头寸。
- 止损/止盈:无。
- 默认参数:
FastPeriod= 10SlowPeriod= 26SignalPeriod= 9SignalBar= 1
- 过滤器:
- 类别:趋势跟随
- 方向:双向
- 指标:单一(MACD)
- 止损:无
- 复杂度:简单
- 时间框架:4 小时(可配置)
- 季节性:无
- 神经网络:无
- 背离:无
- 风险等级:中等
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Strategy that uses MACD histogram slope to generate entry and exit signals.
/// Buys when histogram turns up, sells when it turns down.
/// </summary>
public class TwoPbIdealXosmaStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _signalPeriod;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<DataType> _candleType;
private decimal? _prevHist;
private int _barsSinceTrade;
/// <summary>Fast MA period for MACD calculation.</summary>
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
/// <summary>Slow MA period for MACD calculation.</summary>
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
/// <summary>Signal line period for MACD.</summary>
public int SignalPeriod { get => _signalPeriod.Value; set => _signalPeriod.Value = value; }
/// <summary>Minimum number of bars between entries.</summary>
public int CooldownBars { get => _cooldownBars.Value; set => _cooldownBars.Value = value; }
/// <summary>Candle type used for calculations.</summary>
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
/// <summary>
/// Initializes a new instance of the strategy.
/// </summary>
public TwoPbIdealXosmaStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 10)
.SetGreaterThanZero()
.SetDisplay("Fast MA", "Fast moving average period", "Indicator")
.SetOptimize(5, 20, 1);
_slowPeriod = Param(nameof(SlowPeriod), 26)
.SetGreaterThanZero()
.SetDisplay("Slow MA", "Slow moving average period", "Indicator")
.SetOptimize(20, 60, 1);
_signalPeriod = Param(nameof(SignalPeriod), 9)
.SetGreaterThanZero()
.SetDisplay("Signal", "Signal line period", "Indicator")
.SetOptimize(5, 20, 1);
_cooldownBars = Param(nameof(CooldownBars), 6)
.SetDisplay("Cooldown Bars", "Minimum number of bars between entries", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame())
.SetDisplay("Candle Type", "Timeframe for calculations", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevHist = null;
_barsSinceTrade = CooldownBars;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
StartProtection(null, null);
var macd = new MovingAverageConvergenceDivergenceSignal();
macd.Macd.ShortMa.Length = FastPeriod;
macd.Macd.LongMa.Length = SlowPeriod;
macd.SignalMa.Length = SignalPeriod;
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(macd, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, macd);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue value)
{
if (candle.State != CandleStates.Finished)
return;
var macdValue = (MovingAverageConvergenceDivergenceSignalValue)value;
if (macdValue.Macd is not decimal macdLine || macdValue.Signal is not decimal signal)
return;
var histogram = macdLine - signal;
_barsSinceTrade++;
if (_prevHist is not null)
{
var buySignal = _prevHist <= 0m && histogram > 0m && macdLine > 0m;
var sellSignal = _prevHist >= 0m && histogram < 0m && macdLine < 0m;
if (buySignal && Position <= 0 && _barsSinceTrade >= CooldownBars)
{
if (Position < 0)
BuyMarket();
BuyMarket();
_barsSinceTrade = 0;
}
else if (sellSignal && Position >= 0 && _barsSinceTrade >= CooldownBars)
{
if (Position > 0)
SellMarket();
SellMarket();
_barsSinceTrade = 0;
}
}
_prevHist = histogram;
}
}
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
from StockSharp.Algo.Strategies import Strategy
class two_pb_ideal_x_osma_strategy(Strategy):
def __init__(self):
super(two_pb_ideal_x_osma_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 10) \
.SetGreaterThanZero() \
.SetDisplay("Fast MA", "Fast moving average period", "Indicator") \
.SetOptimize(5, 20, 1)
self._slow_period = self.Param("SlowPeriod", 26) \
.SetGreaterThanZero() \
.SetDisplay("Slow MA", "Slow moving average period", "Indicator") \
.SetOptimize(20, 60, 1)
self._signal_period = self.Param("SignalPeriod", 9) \
.SetGreaterThanZero() \
.SetDisplay("Signal", "Signal line period", "Indicator") \
.SetOptimize(5, 20, 1)
self._cooldown_bars = self.Param("CooldownBars", 6) \
.SetDisplay("Cooldown Bars", "Minimum number of bars between entries", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1))) \
.SetDisplay("Candle Type", "Timeframe for calculations", "General")
self._prev_hist = None
self._bars_since_trade = 0
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def signal_period(self):
return self._signal_period.Value
@property
def cooldown_bars(self):
return self._cooldown_bars.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(two_pb_ideal_x_osma_strategy, self).OnReseted()
self._prev_hist = None
self._bars_since_trade = self.cooldown_bars
def OnStarted2(self, time):
super(two_pb_ideal_x_osma_strategy, self).OnStarted2(time)
self.StartProtection(None, None)
macd = MovingAverageConvergenceDivergenceSignal()
macd.Macd.ShortMa.Length = self.fast_period
macd.Macd.LongMa.Length = self.slow_period
macd.SignalMa.Length = self.signal_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(macd, self.process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, macd)
self.DrawOwnTrades(area)
def process_candle(self, candle, value):
if candle.State != CandleStates.Finished:
return
macd_val = value.Macd
signal_val = value.Signal
if macd_val is None or signal_val is None:
return
macd_line = float(macd_val)
signal = float(signal_val)
histogram = macd_line - signal
self._bars_since_trade += 1
if self._prev_hist is not None:
buy_signal = self._prev_hist <= 0.0 and histogram > 0.0 and macd_line > 0.0
sell_signal = self._prev_hist >= 0.0 and histogram < 0.0 and macd_line < 0.0
if buy_signal and self.Position <= 0 and self._bars_since_trade >= self.cooldown_bars:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._bars_since_trade = 0
elif sell_signal and self.Position >= 0 and self._bars_since_trade >= self.cooldown_bars:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._bars_since_trade = 0
self._prev_hist = histogram
def CreateClone(self):
return two_pb_ideal_x_osma_strategy()