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Pending Orders By Time 2 策略
概述
该策略复刻了 MetaTrader 中的“Pending orders by time 2”专家顾问:在预先设定的开仓时刻同时挂出突破方向的 Buy Stop 和 Sell Stop。每个挂单都按照交易品种的最小报价步长计算止损与止盈,成交后再配合追踪止损与成对的保护性订单管理仓位。实现完全基于 StockSharp 的高级 API,遵循项目的编码规范(制表符缩进、参数通过 Param() 声明等)。
日内执行流程
- 每日初始化:检测到新交易日的第一根完成 K 线时,重置内部状态,以便在稍后重新挂出当日的突破订单。
- 开盘挂单:当 K 线的小时数等于
OpeningHour,且当天尚未挂单时,根据最新的最优买价/卖价(若尚无行情则退回到该 K 线的收盘价)计算突破价格,随后同时提交 Buy Stop 与 Sell Stop。
- 盘中管理:在交易时段内,策略会为已有仓位动态更新保护性止损,不主动撤销对向的挂单,从而保留向另一侧突破反向开仓的可能。同时等待追踪止损、固定止盈或对向突破触发,从而退出仓位。
- 收盘处理:当 K 线的小时数达到
ClosingHour 时,立即撤销所有未成交的挂单,并按持仓绝对量发送市价单平仓,避免隔夜持仓。
挂单价格计算
- 距离参数:
DistanceTicks、StopLossTicks、TakeProfitTicks 都按报价步长 (Security.PriceStep) 解释。Buy Stop 的价格为 bestAsk + DistanceTicks * step,止损为该价位下方 StopLossTicks 个步长,止盈为同样距离的上方。Sell Stop 的计算完全对称。
- 行情来源:策略订阅委托簿,持续记录最新的最优买卖价。如果订单簿尚未返回数据,则使用当前完成 K 线的收盘价作为安全的后备值,避免出现零价。
- 订单引用:保存所有挂出的订单引用,便于在新的一天或收盘时准确地取消、重建订单。
仓位与风控管理
- 保护性订单:当挂单成交(在
OnOwnTradeReceived 中捕获)后,立刻按成交量注册一对保护性订单:多头对应 SellStop + SellLimit,空头对应 BuyStop + BuyLimit。任何时候仅保持一对保护性订单,新的订单会自动撤销旧的那对。
- 追踪止损:
TrailingStopTicks 决定止损与价格的固定距离,TrailingStepTicks 指定再次调整所需的最小额外盈利。只有当浮盈大于 TrailingStop + TrailingStep 时才会重新计算更优的止损价,取消旧的保护性止损并提交新的订单,且不会放宽已有止损。
- 收盘离场:到达
ClosingHour 时,撤销所有保护性订单,并根据仓位方向发送反向市价单,将持仓恢复为零。
可配置参数
OpeningHour:挂出突破挂单的小时(0–23)。
ClosingHour:撤单并强制平仓的小时(0–23)。
DistanceTicks:距离当前最优买卖价的突破幅度,单位为报价步长。
StopLossTicks:初始止损距离,单位为报价步长。
TakeProfitTicks:初始止盈距离,单位为报价步长。
TrailingStopTicks:追踪止损维持的固定距离。
TrailingStepTicks:触发一次新的止损调整所需的最小额外盈利。
Volume:两侧挂单的下单数量。
CandleType:用于控制交易时段的 K 线类型与周期(默认 15 分钟)。
实现说明
- 仅使用 StockSharp 的高级策略接口(
SubscribeCandles、SubscribeOrderBook、高阶下单方法等),无需编写低阶指标或缓存集合。
OnOwnTradeReceived 负责在挂单成交时同步保护性订单,并在止损或止盈成交后清理引用。
- 追踪止损逻辑只依赖当前 K 线数据和内部状态,不调用任何
GetValue 类接口,符合转换规范。
- 所有距离均通过报价步长计算,等价于 MQL 中基于“点”的做法,适用于不同精度的金融工具。
- 根据任务要求,本目录仅提供 C# 实现;暂未创建 Python 版本。
using System;
using System.Collections.Generic;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Pending Orders By Time strategy. Uses EMA crossover for entry timing.
/// </summary>
public class PendingOrdersByTime2Strategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private decimal? _prevFast;
private decimal? _prevSlow;
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public int FastPeriod
{
get => _fastPeriod.Value;
set => _fastPeriod.Value = value;
}
public int SlowPeriod
{
get => _slowPeriod.Value;
set => _slowPeriod.Value = value;
}
public PendingOrdersByTime2Strategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame())
.SetDisplay("Candle Type", "Timeframe", "General");
_fastPeriod = Param(nameof(FastPeriod), 9)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 21)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFast = null;
_prevSlow = null;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevFast = null;
_prevSlow = null;
var fast = new ExponentialMovingAverage { Length = FastPeriod };
var slow = new ExponentialMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(fast, slow, ProcessCandle).Start();
var area = CreateChartArea();
if (area != null) { DrawCandles(area, subscription); DrawIndicator(area, fast); DrawIndicator(area, slow); DrawOwnTrades(area); }
}
private void ProcessCandle(ICandleMessage candle, decimal fastVal, decimal slowVal)
{
if (candle.State != CandleStates.Finished) return;
if (!IsFormedAndOnlineAndAllowTrading()) { _prevFast = fastVal; _prevSlow = slowVal; return; }
if (_prevFast == null || _prevSlow == null) { _prevFast = fastVal; _prevSlow = slowVal; return; }
var prevAbove = _prevFast.Value > _prevSlow.Value;
var currAbove = fastVal > slowVal;
_prevFast = fastVal; _prevSlow = slowVal;
if (!prevAbove && currAbove && Position <= 0) { if (Position < 0) BuyMarket(); BuyMarket(); }
else if (prevAbove && !currAbove && Position >= 0) { if (Position > 0) SellMarket(); SellMarket(); }
}
}
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 pending_orders_by_time2_strategy(Strategy):
def __init__(self):
super(pending_orders_by_time2_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1))) \
.SetDisplay("Candle Type", "Timeframe", "General")
self._fast_period = self.Param("FastPeriod", 9) \
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators")
self._slow_period = self.Param("SlowPeriod", 21) \
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators")
self._prev_fast = None
self._prev_slow = None
@property
def CandleType(self):
return self._candle_type.Value
@property
def FastPeriod(self):
return self._fast_period.Value
@property
def SlowPeriod(self):
return self._slow_period.Value
def OnReseted(self):
super(pending_orders_by_time2_strategy, self).OnReseted()
self._prev_fast = None
self._prev_slow = None
def OnStarted2(self, time):
super(pending_orders_by_time2_strategy, self).OnStarted2(time)
self._prev_fast = None
self._prev_slow = None
fast = ExponentialMovingAverage()
fast.Length = self.FastPeriod
slow = ExponentialMovingAverage()
slow.Length = self.SlowPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(fast, slow, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast)
self.DrawIndicator(area, slow)
self.DrawOwnTrades(area)
def _on_process(self, candle, fast_value, slow_value):
if candle.State != CandleStates.Finished:
return
fv = float(fast_value)
sv = float(slow_value)
if self._prev_fast is None or self._prev_slow is None:
self._prev_fast = fv
self._prev_slow = sv
return
prev_above = self._prev_fast > self._prev_slow
curr_above = fv > sv
self._prev_fast = fv
self._prev_slow = sv
if not prev_above and curr_above and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif prev_above and not curr_above and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
def CreateClone(self):
return pending_orders_by_time2_strategy()