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TDSGlobal 挂单策略(C#)
概述
本策略将 MetaTrader 5 专家顾问 TDSGlobal(源码位于 MQL/23255/TDSGlobal.mq5)移植到 StockSharp 高阶 API。策略在默认的四小时K线上计算 MACD 线、MACD 柱状图(OsMA)以及 Force Index。当这些指标组合给出潜在反转信号时,策略会在上一根 K 线的高低点附近挂出限价单,并通过止损、止盈与可选的追踪止损管理仓位。
交易逻辑
- 指标计算:使用
MACD(12, 26, 9) 取得 MACD 线和 OsMA,同时使用 ForceIndex(24) 评估前一根完成 K 线的力度。
- 信号判定:当有至少两根历史 MACD 与 OsMA 数据时,判断其斜率方向。OsMA 上升且前一根 Force Index 为负值时,准备挂出卖出限价单;OsMA 下降且前一根 Force Index 为正值时,准备挂出买入限价单。
- 挂单价格:卖出限价单略高于前一根 K 线最高价,买入限价单略低于最低价。如果距离当前买卖价不足,订单价格会按照
EntryOffsetPips(默认 16 点)进行调整。
- 风险控制:根据订单价格计算止损与止盈(若参数为零则禁用)。持仓后可按
TrailingStopPips 与 TrailingStepPips 更新追踪止损;若在一根 K 线内触发保护价,会立即使用市价单平仓。
- 订单维护:当 OsMA 斜率反向时,取消对应挂单;任一挂单成交后会撤销另一侧订单,避免同时暴露。
资金管理
- 固定手数:
OrderVolume 直接作为下单手数。
- 风险百分比:启用
UseRiskSizing 时,根据组合权益和 RiskPercent 计算允许亏损金额,再除以止损距离得到下单手数,最后按照交易品种的最小手数对齐。
参数表
| 参数 |
说明 |
默认值 |
OrderVolume |
关闭风险管理时的固定手数。 |
1 |
UseRiskSizing |
是否启用风险百分比资金管理。 |
true |
RiskPercent |
每笔交易愿意承担的权益百分比。 |
3 |
MacdFastPeriod |
MACD 快速 EMA 长度。 |
12 |
MacdSlowPeriod |
MACD 慢速 EMA 长度。 |
26 |
MacdSignalPeriod |
MACD 信号线 EMA 长度。 |
9 |
ForceLength |
Force Index EMA 平滑长度。 |
24 |
StopLossPips |
止损距离(点)。0 表示不设置。 |
50 |
TakeProfitPips |
止盈距离(点)。0 表示不设置。 |
50 |
TrailingStopPips |
追踪止损距离(点)。 |
5 |
TrailingStepPips |
追踪止损每次推进的最小步长(点)。 |
5 |
EntryOffsetPips |
挂单相对前一根高低点的缓冲距离。 |
16 |
MinDistancePips |
订单与保护价格的最小安全距离。 |
3 |
PipSize |
单个点对应的价格增量。 |
0.0001 |
CandleType |
使用的 K 线类型。 |
4 小时 |
使用步骤
- 将
CS/TdsGlobalPendingStrategy.cs 添加到您的 StockSharp 项目或在回测器中动态加载。
- 启动前指定交易品种与组合;若启用风险百分比,需要组合能够提供实时权益值。
- 策略启动后需等待至少两根完成的 K 线以初始化指标斜率,此期间不会挂单。
- 通过日志监控订单提交、撤销与追踪止损调整等事件,以便和原始 EA 行为对照。
与 MQL 版本的差异
- 在 StockSharp 中,挂单成交通过
OnOwnTradeReceived 异步处理,而不是同步返回结果。
- MetaTrader 的“冻结/止损距离”以
MinDistancePips 与基于点差的估算代替。
- 当 K 线内部触及保护水平时,通过市价单直接平仓,模拟原始 EA 的手动修改逻辑。
这些调整确保策略忠于原始思想,同时与 StockSharp 生态兼容。
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;
public class TdsGlobalPendingStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _stopLossPoints;
private readonly StrategyParam<int> _takeProfitPoints;
private ExponentialMovingAverage _fast;
private ExponentialMovingAverage _slow;
private decimal _prevFast;
private decimal _prevSlow;
private decimal _entryPrice;
private int _cooldown;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public int StopLossPoints { get => _stopLossPoints.Value; set => _stopLossPoints.Value = value; }
public int TakeProfitPoints { get => _takeProfitPoints.Value; set => _takeProfitPoints.Value = value; }
public TdsGlobalPendingStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 14).SetGreaterThanZero().SetDisplay("Fast Period", "Fast EMA period", "Indicator");
_slowPeriod = Param(nameof(SlowPeriod), 50).SetGreaterThanZero().SetDisplay("Slow Period", "Slow EMA period", "Indicator");
_stopLossPoints = Param(nameof(StopLossPoints), 200).SetNotNegative().SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk");
_takeProfitPoints = Param(nameof(TakeProfitPoints), 400).SetNotNegative().SetDisplay("Take Profit", "Take-profit in price steps", "Risk");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
yield return (Security, TimeSpan.FromMinutes(5).TimeFrame());
}
protected override void OnReseted()
{
base.OnReseted();
_fast = null; _slow = null;
_prevFast = 0; _prevSlow = 0; _entryPrice = 0; _cooldown = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_fast = new ExponentialMovingAverage { Length = FastPeriod };
_slow = new ExponentialMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(TimeSpan.FromMinutes(5).TimeFrame());
subscription.Bind(_fast, _slow, ProcessCandle);
subscription.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastValue, decimal slowValue)
{
if (candle.State != CandleStates.Finished) return;
if (!_fast.IsFormed || !_slow.IsFormed) { _prevFast = fastValue; _prevSlow = slowValue; return; }
if (_cooldown > 0) { _cooldown--; _prevFast = fastValue; _prevSlow = slowValue; return; }
var close = candle.ClosePrice;
var step = Security?.PriceStep ?? 1m;
if (Position > 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close <= _entryPrice - StopLossPoints * step) { SellMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
if (TakeProfitPoints > 0 && close >= _entryPrice + TakeProfitPoints * step) { SellMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
}
else if (Position < 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close >= _entryPrice + StopLossPoints * step) { BuyMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
if (TakeProfitPoints > 0 && close <= _entryPrice - TakeProfitPoints * step) { BuyMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
}
if (_prevFast <= _prevSlow && fastValue > slowValue && Position <= 0)
{ if (Position < 0) BuyMarket(); BuyMarket(); _entryPrice = close; _cooldown = 100; }
else if (_prevFast >= _prevSlow && fastValue < slowValue && Position >= 0)
{ if (Position > 0) SellMarket(); SellMarket(); _entryPrice = close; _cooldown = 100; }
_prevFast = fastValue; _prevSlow = slowValue;
}
}
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 tds_global_pending_strategy(Strategy):
def __init__(self):
super(tds_global_pending_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 14) \
.SetDisplay("Fast Period", "Fast MA period", "Indicator")
self._slow_period = self.Param("SlowPeriod", 50) \
.SetDisplay("Slow Period", "Slow MA period", "Indicator")
self._stop_loss_points = self.Param("StopLossPoints", 200) \
.SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk")
self._take_profit_points = self.Param("TakeProfitPoints", 400) \
.SetDisplay("Take Profit", "Take-profit in price steps", "Risk")
self._fast = None
self._slow = None
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown = 0
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def stop_loss_points(self):
return self._stop_loss_points.Value
@property
def take_profit_points(self):
return self._take_profit_points.Value
def OnReseted(self):
super(tds_global_pending_strategy, self).OnReseted()
self._fast = None
self._slow = None
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(tds_global_pending_strategy, self).OnStarted2(time)
self._fast = ExponentialMovingAverage()
self._fast.Length = self.fast_period
self._slow = ExponentialMovingAverage()
self._slow.Length = self.slow_period
subscription = self.SubscribeCandles(DataType.TimeFrame(TimeSpan.FromMinutes(5)))
subscription.Bind(self._fast, self._slow, self._process_candle)
subscription.Start()
def _process_candle(self, candle, fast_value, slow_value):
if candle.State != CandleStates.Finished:
return
fast_val = float(fast_value)
slow_val = float(slow_value)
if not self._fast.IsFormed or not self._slow.IsFormed:
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_fast = fast_val
self._prev_slow = slow_val
return
close = float(candle.ClosePrice)
step = float(self.Security.PriceStep) if self.Security is not None and self.Security.PriceStep is not None else 1.0
if self.Position > 0 and self._entry_price > 0:
if self.stop_loss_points > 0 and close <= self._entry_price - self.stop_loss_points * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self.take_profit_points > 0 and close >= self._entry_price + self.take_profit_points * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
elif self.Position < 0 and self._entry_price > 0:
if self.stop_loss_points > 0 and close >= self._entry_price + self.stop_loss_points * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self.take_profit_points > 0 and close <= self._entry_price - self.take_profit_points * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self._prev_fast <= self._prev_slow and fast_val > slow_val and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._entry_price = close
self._cooldown = 100
elif self._prev_fast >= self._prev_slow and fast_val < slow_val and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._entry_price = close
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
def CreateClone(self):
return tds_global_pending_strategy()