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OsMA Four Colors Arrow 策略
概述
该策略把 MetaTrader 中的 "OsMA Four Colors Arrow" 智能交易系统移植到 StockSharp 平台。原始 EA 使用彩色箭头指示 OsMA(MACD 柱状图)状态的改变。本移植版本通过监控 MACD 柱状图的零轴穿越来复现箭头信号:当柱状图从负值转为正值时开多,当从正值跌破零轴时开空。可选的反向模式可以快速切换到对冲或反转交易思路。
策略只在收盘 K 线时运行,可选的时间过滤器允许限定每日交易时段。风险控制部分支持固定手数、聚合仓位的最大数量限制,以及以“点”为单位设置的止损、止盈和移动止损。
交易逻辑
- 订阅指定周期的蜡烛,并按照可配置的快/慢/信号 EMA 周期计算 MACD 柱状图(OsMA)。
- 每根蜡烛收盘时检测柱状图符号:
- 柱状图上穿零轴 → 生成多头信号。
- 柱状图下破零轴 → 生成空头信号。
- 下单前应用附加条件:
- 仅做多、仅做空或双向模式。
- 反向模式颠倒买卖方向。
- 如有需要,先平掉反向仓位。
- 限制为单一仓位或在总仓位上限之内逐步加仓。
- 按设定手数发送市价单,
StartProtection 会把点值转换为绝对价格,自动管理止损、止盈与移动止损。
- 如果启用时间控制,非交易时段的信号会被忽略。
参数
| 名称 |
说明 |
CandleType |
计算与信号使用的周期。 |
FastPeriod / SlowPeriod / SignalPeriod |
MACD 柱状图的 EMA 周期。 |
StopLossPips / TakeProfitPips |
止损、止盈的点数(0 表示关闭)。 |
TrailingActivatePips |
触发移动止损所需的盈利点数。 |
TrailingStopPips |
移动止损与价格之间的距离(点)。 |
TrailingStepPips |
每次上调移动止损所需的额外盈利点数。 |
MaxPositions |
允许的最大聚合仓位数量(以 TradeVolume 为单位,0 表示无限制)。 |
ReverseSignals |
反转买卖方向。 |
DirectionMode |
允许的交易方向。 |
CloseOppositePositions |
开新仓前是否平掉反向仓位。 |
OnlyOnePosition |
是否禁止在同方向重复加仓。 |
UseTimeControl |
启用交易时段过滤。 |
StartHour, StartMinute, EndHour, EndMinute |
交易时段的起止时间,可跨越午夜。 |
TradeVolume |
市价单的手数。 |
注意事项
- 移动止损的参数遵循原版 EA:只有在盈利达到
TrailingActivatePips 后才会启动,并按照 TrailingStepPips 的步长调整。
- 策略需要品种提供
PriceStep 与 Decimals,才能把点值转换为价格距离;若缺失则退化为 1 个价格单位。
- 当
MaxPositions 大于 0 时,可以在不超过限制的前提下按批次加仓。
- 启用时间过滤且开始与结束时间相同会禁止交易,以避免时段含糊。
- 逻辑只对收盘蜡烛生效,不会在未完成的 K 线上下单,与原始 MQL 策略保持一致。
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>
/// Simplified from "OsMA Four Colors Arrow" MetaTrader expert.
/// Uses MACD histogram (OsMA) zero-crossing as entry signal.
/// Buys when histogram crosses above zero, sells when it crosses below.
/// </summary>
public class OsMaFourColorsArrowStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _signalPeriod;
private MovingAverageConvergenceDivergence _macd;
private readonly Queue<decimal> _macdHistory = new();
private decimal? _prevHistogram;
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public int FastPeriod
{
get => _fastPeriod.Value;
set => _fastPeriod.Value = value;
}
public int SlowPeriod
{
get => _slowPeriod.Value;
set => _slowPeriod.Value = value;
}
public int SignalPeriod
{
get => _signalPeriod.Value;
set => _signalPeriod.Value = value;
}
public OsMaFourColorsArrowStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(60).TimeFrame())
.SetDisplay("Candle Type", "Timeframe used for signal generation", "General");
_fastPeriod = Param(nameof(FastPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA length for MACD", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 50)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA length for MACD", "Indicators");
_signalPeriod = Param(nameof(SignalPeriod), 12)
.SetGreaterThanZero()
.SetDisplay("Signal Period", "Signal line smoothing period", "Indicators");
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevHistogram = null;
_macdHistory.Clear();
_macd = new MovingAverageConvergenceDivergence
{
ShortMa = { Length = FastPeriod },
LongMa = { Length = SlowPeriod },
};
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_macd, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _macd);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal macdValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!_macd.IsFormed)
return;
// Compute signal line as SMA of MACD values
_macdHistory.Enqueue(macdValue);
if (_macdHistory.Count > SignalPeriod)
_macdHistory.Dequeue();
if (_macdHistory.Count < SignalPeriod)
{
_prevHistogram = null;
return;
}
decimal sum = 0;
var history = _macdHistory.ToArray();
foreach (var v in history)
sum += v;
var signal = sum / history.Length;
// OsMA = MACD - Signal (histogram)
var histogram = macdValue - signal;
if (_prevHistogram is null)
{
_prevHistogram = histogram;
return;
}
var volume = Volume;
if (volume <= 0)
volume = 1;
var crossUp = _prevHistogram.Value <= 0 && histogram > 0;
var crossDown = _prevHistogram.Value >= 0 && histogram < 0;
if (crossUp)
{
if (Position <= 0)
BuyMarket(Position < 0 ? Math.Abs(Position) + volume : volume);
}
else if (crossDown)
{
if (Position >= 0)
SellMarket(Position > 0 ? Math.Abs(Position) + volume : volume);
}
_prevHistogram = histogram;
}
/// <inheritdoc />
protected override void OnReseted()
{
_macd = null;
_prevHistogram = null;
_macdHistory.Clear();
base.OnReseted();
}
}
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 MovingAverageConvergenceDivergence
from StockSharp.Algo.Strategies import Strategy
class os_ma_four_colors_arrow_strategy(Strategy):
def __init__(self):
super(os_ma_four_colors_arrow_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(60)))
self._fast_period = self.Param("FastPeriod", 20)
self._slow_period = self.Param("SlowPeriod", 50)
self._signal_period = self.Param("SignalPeriod", 12)
self._macd_history = []
self._prev_histogram = 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 FastPeriod(self):
return self._fast_period.Value
@FastPeriod.setter
def FastPeriod(self, value):
self._fast_period.Value = value
@property
def SlowPeriod(self):
return self._slow_period.Value
@SlowPeriod.setter
def SlowPeriod(self, value):
self._slow_period.Value = value
@property
def SignalPeriod(self):
return self._signal_period.Value
@SignalPeriod.setter
def SignalPeriod(self, value):
self._signal_period.Value = value
def OnReseted(self):
super(os_ma_four_colors_arrow_strategy, self).OnReseted()
self._macd_history = []
self._prev_histogram = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(os_ma_four_colors_arrow_strategy, self).OnStarted2(time)
self._macd_history = []
self._prev_histogram = 0.0
self._has_prev = False
macd = MovingAverageConvergenceDivergence()
macd.ShortMa.Length = self.FastPeriod
macd.LongMa.Length = self.SlowPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(macd, self._process_candle).Start()
def _process_candle(self, candle, macd_value):
if candle.State != CandleStates.Finished:
return
macd_val = float(macd_value)
sig_len = self.SignalPeriod
self._macd_history.append(macd_val)
while len(self._macd_history) > sig_len:
self._macd_history.pop(0)
if len(self._macd_history) < sig_len:
return
signal_val = sum(self._macd_history) / sig_len
histogram = macd_val - signal_val
if self._has_prev:
cross_up = self._prev_histogram <= 0 and histogram > 0
cross_down = self._prev_histogram >= 0 and histogram < 0
if cross_up and self.Position <= 0:
self.BuyMarket()
elif cross_down and self.Position >= 0:
self.SellMarket()
self._prev_histogram = histogram
self._has_prev = True
def CreateClone(self):
return os_ma_four_colors_arrow_strategy()