Tunnel Gen4 对冲网格策略
该策略使用 StockSharp 高级 API 复刻 MetaTrader "Tunnel gen4" 智能交易系统的逻辑。策略通过建立买卖对冲头寸来保持市场中性,当价格沿突破方向运行预设的点数时会按两倍基础手数加仓,并在第二个锚点之外再走出同样的距离后平掉整套仓位。
交易逻辑
- 初始对冲: 当没有持仓时,策略会同时发送买入和卖出市价单,手数为
StartVolume。第一笔成交价格被记作参考价格,用于后续所有判断。 - 步长监控:
StepPips参数会根据品种最小报价单位转换为价格偏移,并自动考虑三位和五位小数的外汇报价。来自 Level 1 的最佳买价和卖价与该偏移进行比较。 - 加仓订单: 如果最佳买价较第一次成交价至少上涨一个步长,则发送两倍基础手数的卖单;如果最佳卖价较第一次成交价至少下跌一个步长,则发送同样手数的买单。该订单的第一笔成交确定第二个锚点。
- 循环结束: 第二个锚点建立之后,价格再向任意方向走出一个步长即触发平仓,策略会一次性平掉所有多头和空头头寸。完成平仓后内部状态被重置,等待下一轮循环。
- 手数校验: 策略启动时会检查基础手数及其两倍是否符合品种的最小、最大及步长限制,确保所有提交的订单都可被执行。
入场条件
多头加仓
- 初始对冲的仓位仍然存在。
- 第二锚点尚未生成。
- 当前最佳卖价小于或等于
第一次成交价 - StepPips_折算后的价格。
空头加仓
- 初始对冲的仓位仍然存在。
- 第二锚点尚未生成。
- 当前最佳买价大于或等于
第一次成交价 + StepPips_折算后的价格。
离场管理
- 平掉篮子: 当第二锚点激活后,如果最佳买价超过
第二锚点 + StepOffset,或最佳卖价跌破第二锚点 - StepOffset,策略会发送市价单来关闭全部多头和空头敞口。平仓订单会被跟踪,只有在成交确认后才会重置状态。 - 状态重置: 在多空两侧全部关闭且没有未完成的平仓订单后,内部锚点被清空,策略重新等待新的对冲开仓。
数据与指标
- 订阅 Level 1 可获得最佳买卖价,用于比较是否达到步长。
- 策略不依赖任何额外指标,完全基于行情报价运行。
- 点值转换沿用 MetaTrader 中 point 到 pip 的处理方式,使三位和五位小数的外汇品种表现与原策略一致。
参数
| 参数 | 说明 |
|---|---|
StartVolume |
形成初始对冲时买单与卖单的手数。 |
StepPips |
触发加仓以及退出篮子所需的点数距离。 |
实现细节
- StockSharp 对单个证券只维护净仓位。为模拟 MetaTrader 中互不抵消的多空单,策略内部记录多头与空头的累积成交量,并在退出时按该数量发送市价单。
- 策略依赖实时价差,因此在回测和实盘中都需要提供 Level 1 数据。如果缺少最佳买卖价,交易循环会停止。
- 请确认交易账户支持同一品种的多空同时持仓,否则在退出条件触发之前无法维持所需的对冲结构。
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>
/// Tunnel strategy that uses Bollinger Bands to define a price channel.
/// Buys when price crosses above the lower band (reversal from oversold),
/// sells when price crosses below the upper band (reversal from overbought).
/// </summary>
public class TunnelGen4Strategy : Strategy
{
private readonly StrategyParam<int> _bbLength;
private readonly StrategyParam<decimal> _bbWidth;
private readonly StrategyParam<decimal> _stepPips;
private BollingerBands _bb;
private decimal _prevClose;
private decimal _prevUpper;
private decimal _prevLower;
private decimal _entryPrice;
/// <summary>
/// Bollinger Bands period length.
/// </summary>
public int BbLength
{
get => _bbLength.Value;
set => _bbLength.Value = value;
}
/// <summary>
/// Bollinger Bands width (standard deviations).
/// </summary>
public decimal BbWidth
{
get => _bbWidth.Value;
set => _bbWidth.Value = value;
}
/// <summary>
/// Step distance expressed in pips for profit target.
/// </summary>
public decimal StepPips
{
get => _stepPips.Value;
set => _stepPips.Value = value;
}
/// <summary>
/// Initialize strategy parameters.
/// </summary>
public TunnelGen4Strategy()
{
_bbLength = Param(nameof(BbLength), 20)
.SetGreaterThanZero()
.SetDisplay("BB Length", "Bollinger Bands period", "Indicator");
_bbWidth = Param(nameof(BbWidth), 2.0m)
.SetGreaterThanZero()
.SetDisplay("BB Width", "Bollinger Bands width", "Indicator");
_stepPips = Param(nameof(StepPips), 50m)
.SetGreaterThanZero()
.SetDisplay("Step (pips)", "Distance between tunnel anchors", "Trading");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
yield return (Security, TimeSpan.FromMinutes(5).TimeFrame());
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_bb = null;
_prevClose = 0;
_prevUpper = 0;
_prevLower = 0;
_entryPrice = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_bb = new BollingerBands
{
Length = BbLength,
Width = BbWidth
};
var subscription = SubscribeCandles(TimeSpan.FromMinutes(5).TimeFrame());
subscription.BindEx(_bb, OnProcess);
subscription.Start();
}
private void OnProcess(ICandleMessage candle, IIndicatorValue value)
{
if (candle.State != CandleStates.Finished)
return;
var bb = (BollingerBandsValue)value;
if (bb.UpBand is not decimal upper ||
bb.LowBand is not decimal lower)
return;
if (!_bb.IsFormed)
{
_prevClose = candle.ClosePrice;
_prevUpper = upper;
_prevLower = lower;
return;
}
var close = candle.ClosePrice;
// Buy signal: price crosses above lower band from below
if (_prevClose < _prevLower && close >= lower && Position <= 0)
{
if (Position < 0)
BuyMarket();
BuyMarket();
_entryPrice = close;
}
// Sell signal: price crosses below upper band from above
else if (_prevClose > _prevUpper && close <= upper && Position >= 0)
{
if (Position > 0)
SellMarket();
SellMarket();
_entryPrice = close;
}
// Exit on profit target if in position
if (Position > 0 && _entryPrice > 0)
{
var pipValue = Security?.PriceStep ?? 1m;
var target = _entryPrice + StepPips * pipValue;
if (close >= target)
{
SellMarket();
_entryPrice = 0;
}
}
else if (Position < 0 && _entryPrice > 0)
{
var pipValue = Security?.PriceStep ?? 1m;
var target = _entryPrice - StepPips * pipValue;
if (close <= target)
{
BuyMarket();
_entryPrice = 0;
}
}
_prevClose = close;
_prevUpper = upper;
_prevLower = lower;
}
}
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 BollingerBands
from StockSharp.Algo.Strategies import Strategy
from datatype_extensions import *
from indicator_extensions import *
class tunnel_gen4_strategy(Strategy):
"""Bollinger Band tunnel: buy on cross above lower band, sell on cross below upper."""
def __init__(self):
super(tunnel_gen4_strategy, self).__init__()
self._bb_length = self.Param("BbLength", 20).SetGreaterThanZero().SetDisplay("BB Length", "BB period", "Indicator")
self._bb_width = self.Param("BbWidth", 2.0).SetGreaterThanZero().SetDisplay("BB Width", "BB std devs", "Indicator")
self._step_pips = self.Param("StepPips", 50.0).SetGreaterThanZero().SetDisplay("Step Pips", "Profit target distance", "Trading")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Timeframe", "General")
@property
def CandleType(self): return self._candle_type.Value
@CandleType.setter
def CandleType(self, value): self._candle_type.Value = value
def OnReseted(self):
super(tunnel_gen4_strategy, self).OnReseted()
self._prev_close = 0
self._prev_upper = 0
self._prev_lower = 0
self._entry_price = 0
def OnStarted2(self, time):
super(tunnel_gen4_strategy, self).OnStarted2(time)
self._prev_close = 0
self._prev_upper = 0
self._prev_lower = 0
self._entry_price = 0
self._bb = BollingerBands()
self._bb.Length = self._bb_length.Value
self._bb.Width = self._bb_width.Value
sub = self.SubscribeCandles(self.CandleType)
sub.BindEx(self._bb, self.OnProcess).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, sub)
self.DrawIndicator(area, self._bb)
self.DrawOwnTrades(area)
def OnProcess(self, candle, bb_val):
if candle.State != CandleStates.Finished:
return
if not self._bb.IsFormed:
return
upper = None
lower = None
for inner in bb_val.InnerValues:
name = str(inner.Key.Name) if hasattr(inner.Key, 'Name') else str(inner.Key)
if "Up" in name or "up" in name:
upper = float(inner.Value) if not inner.Value.IsEmpty else None
elif "Low" in name or "low" in name or "Down" in name or "down" in name:
lower = float(inner.Value) if not inner.Value.IsEmpty else None
if upper is None or lower is None:
return
close = float(candle.ClosePrice)
if self._prev_close == 0:
self._prev_close = close
self._prev_upper = upper
self._prev_lower = lower
return
# Buy: price crosses above lower band from below
if self._prev_close < self._prev_lower and close >= lower and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._entry_price = close
# Sell: price crosses below upper band from above
elif self._prev_close > self._prev_upper and close <= upper and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._entry_price = close
# Exit on profit target
step = self._step_pips.Value
if self.Position > 0 and self._entry_price > 0:
if close >= self._entry_price + step:
self.SellMarket()
self._entry_price = 0
elif self.Position < 0 and self._entry_price > 0:
if close <= self._entry_price - step:
self.BuyMarket()
self._entry_price = 0
self._prev_close = close
self._prev_upper = upper
self._prev_lower = lower
def CreateClone(self):
return tunnel_gen4_strategy()