OCO 订单执行策略
该策略重现了最初为 MetaTrader 编写的“一触即撤”(OCO)订单功能。交易者可以预先设定四个独立的触发价格:
- Buy Limit Price:买入限价触发价
- Sell Limit Price:卖出限价触发价
- Buy Stop Price:买入止损触发价
- Sell Stop Price:卖出止损触发价
策略订阅 Level1 数据以持续监控买一价和卖一价。当市场价格触及某个触发价时,策略会立即以市价单方式入场。下单后,系统根据设置的点数距离自动添加止损与止盈,这些距离会根据品种的 PriceStep 转换为绝对价格。
如果启用 OCO 模式,任一触发价被触发后,其余所有触发价都会被自动清除,实现典型的“一个成交其余取消”行为。若关闭该模式,其他触发价仍然有效,价格继续移动时可能产生新的头寸。
细节
- 入场条件:
- 当
Ask <= BuyLimitPrice时做多(买入限价触发)。 - 当
Ask >= BuyStopPrice时做多(买入止损触发)。 - 当
Bid >= SellLimitPrice时做空(卖出限价触发)。 - 当
Bid <= SellStopPrice时做空(卖出止损触发)。
- 当
- 多空方向:支持多、空两侧。
- 离场条件:
- 头寸通过预设的止损或止盈自动平仓。
- 止损:支持,使用点数形式设置止损和止盈。
- 默认值:
StopLossPips= 300。TakeProfitPips= 300。OCO Mode= 启用。
- 过滤条件:
- 分类:订单执行。
- 方向:双向。
- 指标:无。
- 止损:有。
- 复杂度:简单。
- 时间框架:逐笔。
- 季节性:无。
- 神经网络:无。
- 背离:无。
- 风险等级:中等。
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>
/// OCO-style breakout strategy. Calculates dynamic buy-stop and sell-stop levels
/// from recent high/low and enters on breakout, with StdDev-based stop-loss and take-profit.
/// </summary>
public class OcoOrderStrategy : Strategy
{
private readonly StrategyParam<int> _lookbackPeriod;
private readonly StrategyParam<decimal> _stdMultiplier;
private readonly StrategyParam<DataType> _candleType;
private decimal _recentHigh;
private decimal _recentLow;
private decimal _entryPrice;
private int _barCount;
public int LookbackPeriod { get => _lookbackPeriod.Value; set => _lookbackPeriod.Value = value; }
public decimal StdMultiplier { get => _stdMultiplier.Value; set => _stdMultiplier.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public OcoOrderStrategy()
{
_lookbackPeriod = Param(nameof(LookbackPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Lookback", "Bars for high/low calculation", "General");
_stdMultiplier = Param(nameof(StdMultiplier), 1.5m)
.SetDisplay("StdDev Multiplier", "Multiplier for SL/TP distance", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_recentHigh = 0;
_recentLow = decimal.MaxValue;
_entryPrice = 0;
_barCount = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var stdDev = new StandardDeviation { Length = LookbackPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(stdDev, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal stdValue)
{
if (candle.State != CandleStates.Finished)
return;
_barCount++;
// Track rolling high/low
if (_barCount <= LookbackPeriod)
{
if (candle.HighPrice > _recentHigh)
_recentHigh = candle.HighPrice;
if (candle.LowPrice < _recentLow)
_recentLow = candle.LowPrice;
return;
}
if (stdValue <= 0)
return;
var close = candle.ClosePrice;
var slDistance = stdValue * StdMultiplier;
// Exit logic
if (Position > 0)
{
if (close <= _entryPrice - slDistance || close >= _entryPrice + slDistance * 2)
{
SellMarket();
_entryPrice = 0;
}
}
else if (Position < 0)
{
if (close >= _entryPrice + slDistance || close <= _entryPrice - slDistance * 2)
{
BuyMarket();
_entryPrice = 0;
}
}
// Entry: breakout above recent high or below recent low
if (Position == 0)
{
if (close > _recentHigh)
{
BuyMarket();
_entryPrice = close;
}
else if (close < _recentLow)
{
SellMarket();
_entryPrice = close;
}
}
// Update high/low
if (candle.HighPrice > _recentHigh)
_recentHigh = candle.HighPrice;
if (candle.LowPrice < _recentLow)
_recentLow = candle.LowPrice;
}
}
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 StandardDeviation
from StockSharp.Algo.Strategies import Strategy
class oco_order_strategy(Strategy):
def __init__(self):
super(oco_order_strategy, self).__init__()
self._lookback_period = self.Param("LookbackPeriod", 20) \
.SetDisplay("Lookback", "Bars for high/low calculation", "General")
self._std_multiplier = self.Param("StdMultiplier", 1.5) \
.SetDisplay("StdDev Multiplier", "Multiplier for SL/TP distance", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._recent_high = 0.0
self._recent_low = 1e18
self._entry_price = 0.0
self._bar_count = 0
@property
def lookback_period(self):
return self._lookback_period.Value
@property
def std_multiplier(self):
return self._std_multiplier.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(oco_order_strategy, self).OnReseted()
self._recent_high = 0.0
self._recent_low = 1e18
self._entry_price = 0.0
self._bar_count = 0
def OnStarted2(self, time):
super(oco_order_strategy, self).OnStarted2(time)
std_dev = StandardDeviation()
std_dev.Length = self.lookback_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(std_dev, self.on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def on_process(self, candle, std_value):
if candle.State != CandleStates.Finished:
return
self._bar_count += 1
# Track rolling high/low
if self._bar_count <= self.lookback_period:
if candle.HighPrice > self._recent_high:
self._recent_high = candle.HighPrice
if candle.LowPrice < self._recent_low:
self._recent_low = candle.LowPrice
return
if std_value <= 0:
return
close = candle.ClosePrice
sl_distance = std_value * self.std_multiplier
# Exit logic
if self.Position > 0:
if close <= self._entry_price - sl_distance or close >= self._entry_price + sl_distance * 2:
self.SellMarket()
self._entry_price = 0
elif self.Position < 0:
if close >= self._entry_price + sl_distance or close <= self._entry_price - sl_distance * 2:
self.BuyMarket()
self._entry_price = 0
# Entry: breakout above recent high or below recent low
if self.Position == 0:
if close > self._recent_high:
self.BuyMarket()
self._entry_price = close
elif close < self._recent_low:
self.SellMarket()
self._entry_price = close
# Update high/low
if candle.HighPrice > self._recent_high:
self._recent_high = candle.HighPrice
if candle.LowPrice < self._recent_low:
self._recent_low = candle.LowPrice
def CreateClone(self):
return oco_order_strategy()