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Double Up 策略
概述
Double Up 策略是 MetaTrader 专家顾问 DoubleUp.mq4 的等价移植版本。策略同时使用 CCI 振荡指标和 MACD 主线来识别极端动量。当两个指标都进入同一极端区域时,系统会预先设置下一笔逆向交易。CCI 回落到阈值附近时,算法要么平掉所有空头并开多,要么平掉所有多头并开空。
每次新开仓位的手数都会按照指数级增长模型计算(基础手数 * 2^亏损计数)。连续亏损会增加指数,而盈利平仓会把等待缓冲区中的值转移到亏损计数中,然后清空缓冲区。这与原始脚本中 pos 和 wait 变量的行为保持一致。
交易逻辑
- 订阅单一时间框架的K线,计算 CCI(默认周期8)和 MACD 主线(默认快线13、慢线33、信号线2)。
- 将 MACD 数值乘以一百万,使其数量级与 CCI 阈值一致。
- 当两个指标都高于
+Threshold 时,准备未来的做空信号;当两个指标都低于 -Threshold 时,准备未来的做多信号。
- 若多头信号处于等待状态并且 CCI 再次低于
+Threshold,立即开多。若空头信号处于等待状态并且 CCI 低于 -Threshold,立即开空。该顺序与原始实现完全一致。
- 在开新仓之前,策略会彻底平掉相反方向的持仓,并等待所有平仓成交。
- 平仓通过市场单完成,成交结果用于调整马丁格尔计数。
仓位管理
- 亏损平仓会将亏损计数加一;当计数达到
PreWait 时,其值会被加入等待缓冲区,然后计数清零。
- 盈利平仓会把缓冲区的(向下取整后的)值赋给亏损计数,并将缓冲区清零,因此下一次下单的手数等于
基础手数 * 2^亏损计数。
- 等待缓冲区在启动时由
InitialWait 参数初始化,之后完全由上述规则控制。
参数
| 名称 |
默认值 |
说明 |
CciPeriod |
8 |
CCI 指标的周期。 |
Threshold |
230 |
判断极端区域的绝对阈值。 |
MacdFastPeriod |
13 |
MACD 快速 EMA 周期。 |
MacdSlowPeriod |
33 |
MACD 慢速 EMA 周期。 |
MacdSignalPeriod |
2 |
MACD 信号 EMA 周期,与原始函数接口兼容。 |
BaseVolume |
0.01 |
未应用马丁格尔之前的基础手数。 |
InitialWait |
0 |
等待缓冲区的初始值(对应原脚本的 wait)。 |
PreWait |
2 |
连续亏损的最小次数,达到后才会把计数加入缓冲区。 |
BackShift |
0 |
指标数值的历史偏移量,本移植版本仅支持0。 |
CandleType |
15 分钟K线 |
订阅的数据类型,可根据需求调整。 |
注意事项
- 目前仅支持
BackShift = 0,与原始 EA 的默认设置相同。
- 所有开仓和平仓均使用市价单,如需要请另行配置止损或止盈。
- 策略在亏损后会倍增仓位,请确保账户资金和风险控制可以承受马丁格尔序列。
using System;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
public class DoubleUpStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _cooldownCandles;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private bool _hasPrev;
private int _cooldownRemaining;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public int CooldownCandles { get => _cooldownCandles.Value; set => _cooldownCandles.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public DoubleUpStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 20).SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 80).SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
_cooldownCandles = Param(nameof(CooldownCandles), 100).SetDisplay("Cooldown", "Candles between signals", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame()).SetDisplay("Candle Type", "Candle timeframe", "General");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFast = default;
_prevSlow = default;
_hasPrev = default;
_cooldownRemaining = default;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevFast = 0;
_prevSlow = 0;
_hasPrev = false;
_cooldownRemaining = 0;
var fast = new ExponentialMovingAverage { Length = FastPeriod };
var slow = new ExponentialMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(fast, slow, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal slow)
{
if (candle.State != CandleStates.Finished) return;
if (!_hasPrev) { _prevFast = fast; _prevSlow = slow; _hasPrev = true; return; }
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_prevFast = fast;
_prevSlow = slow;
return;
}
if (_prevFast <= _prevSlow && fast > slow && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
_cooldownRemaining = CooldownCandles;
}
else if (_prevFast >= _prevSlow && fast < slow && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
_cooldownRemaining = CooldownCandles;
}
_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 ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class double_up_strategy(Strategy):
def __init__(self):
super(double_up_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 20) \
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators")
self._slow_period = self.Param("SlowPeriod", 80) \
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators")
self._cooldown_candles = self.Param("CooldownCandles", 100) \
.SetDisplay("Cooldown", "Candles between signals", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Candle timeframe", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
self._cooldown_remaining = 0
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def cooldown_candles(self):
return self._cooldown_candles.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(double_up_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(double_up_strategy, self).OnStarted2(time)
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
self._cooldown_remaining = 0
fast = ExponentialMovingAverage()
fast.Length = self.fast_period
slow = ExponentialMovingAverage()
slow.Length = self.slow_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast, slow, self.process_candle).Start()
def process_candle(self, candle, fast, slow):
if candle.State != CandleStates.Finished:
return
fast_val = float(fast)
slow_val = float(slow)
if not self._has_prev:
self._prev_fast = fast_val
self._prev_slow = slow_val
self._has_prev = True
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self._prev_fast <= self._prev_slow and fast_val > slow_val and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._cooldown_remaining = self.cooldown_candles
elif self._prev_fast >= self._prev_slow and fast_val < slow_val and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._cooldown_remaining = self.cooldown_candles
self._prev_fast = fast_val
self._prev_slow = slow_val
def CreateClone(self):
return double_up_strategy()