VLT Trader 策略
概述
VLT Trader 策略是 MetaTrader 4 专家顾问 “VLT_TRADER” 的 StockSharp 版本。策略核心思想是在波动极低的时间段设置突破挂单,当最近一根完成的K线波幅小于指定数量历史K线的最小波幅时,于该K线的高低点附近布置多空双向止损单,等待波动性扩张。
交易逻辑
- 订阅设定周期的K线数据,并为每根K线计算最高价与最低价的差值(波幅)。
- 使用
Lowest指标跟踪之前LookbackCandles根K线中的最小波幅。 - 当最新收盘K线的波幅小于该历史最小值时,准备下一阶段的突破挂单。
- 在上一根K线最高价上方
EntryOffsetPoints点的位置放置买入止损单,并在最低价下方同样距离放置卖出止损单。 - 每个挂单同时附带固定距离的止损与止盈(
StopLossPoints与TakeProfitPoints)。 - 两个挂单会一直保留:若某一方向被触发即形成持仓,另一方向的挂单继续有效,以便在行情反转时也能入场。
- 当挂单被成交或取消时,相应的引用会被清理;只有在没有持仓和挂单时策略才会重新寻找新的突破机会。
风险控制
- 交易数量由
OrderVolume控制,并根据标的的最小交易手数与数量步长自动调整。 - 止损与止盈距离以点(price step)表示,并利用标的的
PriceStep转换为实际价格。
参数
| 参数 | 说明 |
|---|---|
OrderVolume |
创建挂单时使用的手数。 |
EntryOffsetPoints |
在上一根K线高/低点外额外添加的距离。 |
TakeProfitPoints |
每笔订单的止盈距离。 |
StopLossPoints |
每笔订单的止损距离。 |
LookbackCandles |
用于计算历史最小波幅的K线数量。 |
CandleType |
驱动策略的K线周期。 |
备注
- 标的必须提供有效的
PriceStep,否则策略不会下单。 - 挂单同时携带止损和止盈,实际成交价格可能因为券商执行细节与 MetaTrader 结果略有差异。
- 策略完全使用高层 API(
SubscribeCandles+Bind)与标准Lowest指标复现原始EA的波动性检测逻辑。
using System;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
public class VltTraderStraddleStrategy : Strategy
{
private readonly StrategyParam<int> _channelPeriod;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<int> _cooldownCandles;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevClose;
private decimal _prevMid;
private bool _hasPrev;
private int _cooldownRemaining;
public int ChannelPeriod { get => _channelPeriod.Value; set => _channelPeriod.Value = value; }
public int AtrPeriod { get => _atrPeriod.Value; set => _atrPeriod.Value = value; }
public int CooldownCandles { get => _cooldownCandles.Value; set => _cooldownCandles.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public VltTraderStraddleStrategy()
{
_channelPeriod = Param(nameof(ChannelPeriod), 48).SetDisplay("Channel Period", "Breakout lookback", "Indicators");
_atrPeriod = Param(nameof(AtrPeriod), 14).SetDisplay("ATR Period", "ATR lookback", "Indicators");
_cooldownCandles = Param(nameof(CooldownCandles), 150).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();
_prevClose = default;
_prevMid = default;
_hasPrev = default;
_cooldownRemaining = default;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevClose = 0;
_prevMid = 0;
_hasPrev = false;
_cooldownRemaining = 0;
var highest = new Highest { Length = ChannelPeriod };
var lowest = new Lowest { Length = ChannelPeriod };
var atr = new AverageTrueRange { Length = AtrPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(highest, lowest, atr, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal highest, decimal lowest, decimal atr)
{
if (candle.State != CandleStates.Finished) return;
var close = candle.ClosePrice;
var mid = (highest + lowest) / 2;
if (!_hasPrev) { _prevClose = close; _prevMid = mid; _hasPrev = true; return; }
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_prevClose = close;
_prevMid = mid;
return;
}
if (_prevClose <= _prevMid && close > mid && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
_cooldownRemaining = CooldownCandles;
}
else if (_prevClose >= _prevMid && close < mid && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
_cooldownRemaining = CooldownCandles;
}
_prevClose = close;
_prevMid = mid;
}
}
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 Highest, Lowest, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class vlt_trader_straddle_strategy(Strategy):
def __init__(self):
super(vlt_trader_straddle_strategy, self).__init__()
self._channel_period = self.Param("ChannelPeriod", 48) \
.SetDisplay("Channel Period", "Breakout lookback", "Indicators")
self._atr_period = self.Param("AtrPeriod", 14) \
.SetDisplay("ATR Period", "ATR lookback", "Indicators")
self._cooldown_candles = self.Param("CooldownCandles", 150) \
.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_close = 0.0
self._prev_mid = 0.0
self._has_prev = False
self._cooldown_remaining = 0
@property
def channel_period(self):
return self._channel_period.Value
@property
def atr_period(self):
return self._atr_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(vlt_trader_straddle_strategy, self).OnReseted()
self._prev_close = 0.0
self._prev_mid = 0.0
self._has_prev = False
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(vlt_trader_straddle_strategy, self).OnStarted2(time)
self._prev_close = 0.0
self._prev_mid = 0.0
self._has_prev = False
self._cooldown_remaining = 0
highest = Highest()
highest.Length = self.channel_period
lowest = Lowest()
lowest.Length = self.channel_period
atr = AverageTrueRange()
atr.Length = self.atr_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(highest, lowest, atr, self.process_candle).Start()
def process_candle(self, candle, highest, lowest, atr):
if candle.State != CandleStates.Finished:
return
close = float(candle.ClosePrice)
mid = (float(highest) + float(lowest)) / 2.0
if not self._has_prev:
self._prev_close = close
self._prev_mid = mid
self._has_prev = True
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
self._prev_close = close
self._prev_mid = mid
return
if self._prev_close <= self._prev_mid and close > mid and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._cooldown_remaining = self.cooldown_candles
elif self._prev_close >= self._prev_mid and close < mid and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._cooldown_remaining = self.cooldown_candles
self._prev_close = close
self._prev_mid = mid
def CreateClone(self):
return vlt_trader_straddle_strategy()