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Parallax Sell 策略
概述
Parallax Sell 是根据 MetaTrader 顾问 parallax_sell 转换而来的 StockSharp 策略。原始程序主要交易 CAD/JPY 和 CHF/JPY 等日元交叉盘,通过 Williams %R、MACD 与随机指标的组合寻找上涨行情中的做空机会。策略在动能减弱时平仓,并采用类似马丁格尔的仓位管理,在亏损序列后逐步放大仓位。
入场逻辑
- 使用可配置的周期(默认 1 小时 K 线)。
- 等待 K 线收盘后再判断。
- 要求 Williams %R(周期 350)高于设定的超买阈值(默认 -10)。
- 要求 MACD 主线(12/120/9 设置)高于阈值(默认 0.178),确认当前上涨动能仍在。
- 监听快速随机指标 %K(周期 10,减缓 3)向下穿越触发水平(默认 90)。只有发生该交叉才会开立新的空单。
- 每个满足条件的信号都会再开一笔市价空单,允许按照马丁格尔规则叠加多笔仓位。
离场逻辑
- 根据品种的点值计算所有持仓空单的浮动盈亏(以点数表示)。
- 若仅有一笔空单,且平均盈利超过单笔目标(默认 10 点)并且 Williams %R 跌破离场阈值(默认 -80),则平仓。
- 若存在多笔空单,且平均盈利超过组合目标(默认 15 点)并且慢速随机指标 %K(周期 90,减缓 1)跌破超卖触发水平(默认 12),则整体平仓。
- 额外的保险性止盈:当平均盈利达到设定的止盈距离(默认 100 点)时也会平仓。
仓位管理
- 初始下单量为基础手数(默认 0.01)。
- 若上一轮交易获利(已实现盈亏上升),下一笔订单恢复为基础手数。
- 若上一轮交易亏损(已实现盈亏下降),下一笔订单的手数乘以马丁格尔系数(默认 1.6)。最终手数会自动对齐到品种的最小交易步长。
风险控制
- 策略会注册一个按点数计算的保护性止盈,没有固定止损;离场完全由指标条件控制。
- 按照转换规范,仅调用一次
StartProtection 来启用保护。
参数
| 参数 |
说明 |
默认值 |
CandleType |
计算所用的周期。 |
1 小时 |
EntryWilliamsLength |
入场 Williams %R 周期。 |
350 |
ExitWilliamsLength |
离场 Williams %R 周期。 |
350 |
EntryStochasticLength / Signal / Slowing |
入场快速随机指标设置。 |
10 / 1 / 3 |
ExitStochasticLength / Signal / Slowing |
离场慢速随机指标设置。 |
90 / 7 / 1 |
MacdFastLength / MacdSlowLength / MacdSignalLength |
MACD 参数。 |
12 / 120 / 9 |
EntryWilliamsThreshold |
开空前 Williams %R 必须超过的值。 |
-10 |
ExitWilliamsThreshold |
单笔空单离场所需的 Williams %R 水平。 |
-80 |
EntryStochasticTrigger |
快速随机指标需要下穿的水平。 |
90 |
ExitStochasticTrigger |
慢速随机指标需要跌破的水平。 |
12 |
MacdThreshold |
MACD 主线最小值。 |
0.178 |
SingleTradeTargetPips |
单笔仓位的止盈目标(点)。 |
10 |
MultiTradeTargetPips |
多笔仓位的组合止盈目标(点)。 |
15 |
TakeProfitPips |
强制止盈距离(点)。 |
100 |
InitialVolume |
基础手数。 |
0.01 |
MartingaleMultiplier |
亏损后放大的倍数。 |
1.6 |
UseMartingale |
是否启用马丁格尔放大。 |
true |
备注
- 策略仅做空,假定使用外汇常见的点值定义。
- 平均盈利的计算与原始 MT4 模块一致,按每笔订单的点数平均值处理。
- 可根据品种波动调整阈值,或将
UseMartingale 设为 false 以降低风险。
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;
public class ParallaxSellStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _stopLossPoints;
private readonly StrategyParam<int> _takeProfitPoints;
private ExponentialMovingAverage _fast;
private ExponentialMovingAverage _slow;
private decimal _prevFast;
private decimal _prevSlow;
private decimal _entryPrice;
private int _cooldown;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public int StopLossPoints { get => _stopLossPoints.Value; set => _stopLossPoints.Value = value; }
public int TakeProfitPoints { get => _takeProfitPoints.Value; set => _takeProfitPoints.Value = value; }
public ParallaxSellStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 14).SetGreaterThanZero().SetDisplay("Fast Period", "Fast EMA period", "Indicator");
_slowPeriod = Param(nameof(SlowPeriod), 50).SetGreaterThanZero().SetDisplay("Slow Period", "Slow EMA period", "Indicator");
_stopLossPoints = Param(nameof(StopLossPoints), 200).SetNotNegative().SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk");
_takeProfitPoints = Param(nameof(TakeProfitPoints), 400).SetNotNegative().SetDisplay("Take Profit", "Take-profit in price steps", "Risk");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
yield return (Security, TimeSpan.FromMinutes(5).TimeFrame());
}
protected override void OnReseted()
{
base.OnReseted();
_fast = null; _slow = null;
_prevFast = 0; _prevSlow = 0; _entryPrice = 0; _cooldown = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_fast = new ExponentialMovingAverage { Length = FastPeriod };
_slow = new ExponentialMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(TimeSpan.FromMinutes(5).TimeFrame());
subscription.Bind(_fast, _slow, ProcessCandle);
subscription.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastValue, decimal slowValue)
{
if (candle.State != CandleStates.Finished) return;
if (!_fast.IsFormed || !_slow.IsFormed) { _prevFast = fastValue; _prevSlow = slowValue; return; }
if (_cooldown > 0) { _cooldown--; _prevFast = fastValue; _prevSlow = slowValue; return; }
var close = candle.ClosePrice;
var step = Security?.PriceStep ?? 1m;
if (Position > 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close <= _entryPrice - StopLossPoints * step) { SellMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
if (TakeProfitPoints > 0 && close >= _entryPrice + TakeProfitPoints * step) { SellMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
}
else if (Position < 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close >= _entryPrice + StopLossPoints * step) { BuyMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
if (TakeProfitPoints > 0 && close <= _entryPrice - TakeProfitPoints * step) { BuyMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
}
if (_prevFast <= _prevSlow && fastValue > slowValue && Position <= 0)
{ if (Position < 0) BuyMarket(); BuyMarket(); _entryPrice = close; _cooldown = 100; }
else if (_prevFast >= _prevSlow && fastValue < slowValue && Position >= 0)
{ if (Position > 0) SellMarket(); SellMarket(); _entryPrice = close; _cooldown = 100; }
_prevFast = fastValue; _prevSlow = slowValue;
}
}
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 parallax_sell_strategy(Strategy):
def __init__(self):
super(parallax_sell_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 14) \
.SetDisplay("Fast Period", "Fast MA period", "Indicator")
self._slow_period = self.Param("SlowPeriod", 50) \
.SetDisplay("Slow Period", "Slow MA period", "Indicator")
self._stop_loss_points = self.Param("StopLossPoints", 200) \
.SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk")
self._take_profit_points = self.Param("TakeProfitPoints", 400) \
.SetDisplay("Take Profit", "Take-profit in price steps", "Risk")
self._fast = None
self._slow = None
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown = 0
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def stop_loss_points(self):
return self._stop_loss_points.Value
@property
def take_profit_points(self):
return self._take_profit_points.Value
def OnReseted(self):
super(parallax_sell_strategy, self).OnReseted()
self._fast = None
self._slow = None
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(parallax_sell_strategy, self).OnStarted2(time)
self._fast = ExponentialMovingAverage()
self._fast.Length = self.fast_period
self._slow = ExponentialMovingAverage()
self._slow.Length = self.slow_period
subscription = self.SubscribeCandles(DataType.TimeFrame(TimeSpan.FromMinutes(5)))
subscription.Bind(self._fast, self._slow, self._process_candle)
subscription.Start()
def _process_candle(self, candle, fast_value, slow_value):
if candle.State != CandleStates.Finished:
return
fast_val = float(fast_value)
slow_val = float(slow_value)
if not self._fast.IsFormed or not self._slow.IsFormed:
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_fast = fast_val
self._prev_slow = slow_val
return
close = float(candle.ClosePrice)
step = float(self.Security.PriceStep) if self.Security is not None and self.Security.PriceStep is not None else 1.0
if self.Position > 0 and self._entry_price > 0:
if self.stop_loss_points > 0 and close <= self._entry_price - self.stop_loss_points * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self.take_profit_points > 0 and close >= self._entry_price + self.take_profit_points * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
elif self.Position < 0 and self._entry_price > 0:
if self.stop_loss_points > 0 and close >= self._entry_price + self.stop_loss_points * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self.take_profit_points > 0 and close <= self._entry_price - self.take_profit_points * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 100
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._entry_price = close
self._cooldown = 100
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._entry_price = close
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
def CreateClone(self):
return parallax_sell_strategy()