线段订单策略
Line Order Strategy 在价格突破预设水平线时触发市价单。该策略是原始 MQL 脚本 LineOrder.mq4 的简化版本,使用 StockSharp 的高级 API 实现手动线段交易。
策略参数允许选择交易方向、入场价格以及风险管理规则。建仓后,在每根完成的 K 线中监控止损、止盈和跟踪止损参数。
参数
- LinePrice – 下单的价格水平。
- IsBuy –
true为做多,false为做空。 - StopLoss – 止损距离,单位为价格(0 表示禁用)。
- TakeProfit – 止盈距离,单位为价格(0 表示禁用)。
- TrailingStop – 跟踪止损距离,单位为价格(0 表示禁用)。
- Volume – 订单数量。
- CandleType – 用于监控价格的 K 线类型。
交易规则
- 入场:收盘价按所选方向突破
LinePrice时建仓。 - 止损:价格不利于持仓并超过
StopLoss距离时平仓。 - 止盈:价格达到距离入场价
TakeProfit时平仓。 - 跟踪止损:入场后随着有利价格移动,在回撤
TrailingStop距离时平仓。
说明
- 适用于 StockSharp 支持的任何品种。
- 主要用于演示如何将基于线段的手动交易从 MQL 转换到 StockSharp。
- Python 版本故意未提供。
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>
/// Executes a market order when price crosses a moving average "line".
/// Manages stop-loss and take-profit via candle monitoring.
/// </summary>
public class LineOrderStrategy : Strategy
{
private readonly StrategyParam<int> _maLength;
private readonly StrategyParam<decimal> _stopLossPct;
private readonly StrategyParam<decimal> _takeProfitPct;
private readonly StrategyParam<DataType> _candleType;
private decimal _entryPrice;
private decimal _prevClose;
private decimal _prevMa;
private bool _hasPrev;
public int MaLength { get => _maLength.Value; set => _maLength.Value = value; }
public decimal StopLossPct { get => _stopLossPct.Value; set => _stopLossPct.Value = value; }
public decimal TakeProfitPct { get => _takeProfitPct.Value; set => _takeProfitPct.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public LineOrderStrategy()
{
_maLength = Param(nameof(MaLength), 20)
.SetGreaterThanZero()
.SetDisplay("MA Length", "Moving average period for line", "Indicators");
_stopLossPct = Param(nameof(StopLossPct), 2m)
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk");
_takeProfitPct = Param(nameof(TakeProfitPct), 3m)
.SetDisplay("Take Profit %", "Take profit percentage", "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();
_entryPrice = 0;
_prevClose = 0;
_prevMa = 0;
_hasPrev = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var ma = new SimpleMovingAverage { Length = MaLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ma, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal maVal)
{
if (candle.State != CandleStates.Finished)
return;
var close = candle.ClosePrice;
if (!_hasPrev)
{
_prevClose = close;
_prevMa = maVal;
_hasPrev = true;
return;
}
// Check stop-loss / take-profit for existing positions
if (Position > 0 && _entryPrice > 0)
{
if (close <= _entryPrice * (1 - StopLossPct / 100m) ||
close >= _entryPrice * (1 + TakeProfitPct / 100m))
{
SellMarket();
_entryPrice = 0;
_prevClose = close;
_prevMa = maVal;
return;
}
}
else if (Position < 0 && _entryPrice > 0)
{
if (close >= _entryPrice * (1 + StopLossPct / 100m) ||
close <= _entryPrice * (1 - TakeProfitPct / 100m))
{
BuyMarket();
_entryPrice = 0;
_prevClose = close;
_prevMa = maVal;
return;
}
}
// Cross above MA line -> buy
if (_prevClose <= _prevMa && close > maVal)
{
if (Position < 0)
{
BuyMarket();
_entryPrice = 0;
}
if (Position <= 0)
{
BuyMarket();
_entryPrice = close;
}
}
// Cross below MA line -> sell
else if (_prevClose >= _prevMa && close < maVal)
{
if (Position > 0)
{
SellMarket();
_entryPrice = 0;
}
if (Position >= 0)
{
SellMarket();
_entryPrice = close;
}
}
_prevClose = close;
_prevMa = maVal;
}
}
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 SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class line_order_strategy(Strategy):
def __init__(self):
super(line_order_strategy, self).__init__()
self._ma_length = self.Param("MaLength", 20) \
.SetDisplay("MA Length", "Moving average period for line", "Indicators")
self._stop_loss_pct = self.Param("StopLossPct", 2.0) \
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk")
self._take_profit_pct = self.Param("TakeProfitPct", 3.0) \
.SetDisplay("Take Profit %", "Take profit percentage", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._entry_price = 0.0
self._prev_close = 0.0
self._prev_ma = 0.0
self._has_prev = False
@property
def ma_length(self):
return self._ma_length.Value
@property
def stop_loss_pct(self):
return self._stop_loss_pct.Value
@property
def take_profit_pct(self):
return self._take_profit_pct.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(line_order_strategy, self).OnReseted()
self._entry_price = 0.0
self._prev_close = 0.0
self._prev_ma = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(line_order_strategy, self).OnStarted2(time)
ma = SimpleMovingAverage()
ma.Length = self.ma_length
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(ma, self.on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def on_process(self, candle, ma_val):
if candle.State != CandleStates.Finished:
return
close = candle.ClosePrice
if not self._has_prev:
self._prev_close = close
self._prev_ma = ma_val
self._has_prev = True
return
# Check stop-loss / take-profit for existing positions
if self.Position > 0 and self._entry_price > 0:
if (close <= self._entry_price * (1 - self.stop_loss_pct / 100.0) or
close >= self._entry_price * (1 + self.take_profit_pct / 100.0)):
self.SellMarket()
self._entry_price = 0
self._prev_close = close
self._prev_ma = ma_val
return
elif self.Position < 0 and self._entry_price > 0:
if (close >= self._entry_price * (1 + self.stop_loss_pct / 100.0) or
close <= self._entry_price * (1 - self.take_profit_pct / 100.0)):
self.BuyMarket()
self._entry_price = 0
self._prev_close = close
self._prev_ma = ma_val
return
# Cross above MA line -> buy
if self._prev_close <= self._prev_ma and close > ma_val:
if self.Position < 0:
self.BuyMarket()
self._entry_price = 0
if self.Position <= 0:
self.BuyMarket()
self._entry_price = close
# Cross below MA line -> sell
elif self._prev_close >= self._prev_ma and close < ma_val:
if self.Position > 0:
self.SellMarket()
self._entry_price = 0
if self.Position >= 0:
self.SellMarket()
self._entry_price = close
self._prev_close = close
self._prev_ma = ma_val
def CreateClone(self):
return line_order_strategy()