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单一价格止损/止盈策略
该实用策略在 StockSharp 中复刻了 MetaTrader 脚本“One Price SL TP”。策略本身不会主动开仓,而是监控选定品种的当前持仓,确保两个保护性订单都被调至用户指定的同一个目标价格。
当参数 ZenPrice 大于零时,策略会把它与最新的买卖报价进行比较:
- 多头 持仓:若
ZenPrice 高于卖价,则在该价格挂出止盈限价单;若 ZenPrice 低于买价,则在该价格挂出止损停止单。
- 空头 持仓:若
ZenPrice 低于买价,则在该价格挂出止盈限价单;若 ZenPrice 高于卖价,则在该价格挂出止损停止单。
如果目标价格位于买卖价之间,则不会发送任何新订单,已有的保护单保持不变。一旦仓位被平掉或参数重置为零,所有保护性订单都会被自动撤销。
工作流程
- 订阅 Level1 数据,持续获取做方向检查所需的即时买卖价。
- 跟踪策略当前的持仓方向与数量,默认这些仓位由人工或其他策略建立。
- 在每次报价、持仓或自身成交更新时,判断
ZenPrice 所处的市场一侧,并选择对应的保护性订单类型。
- 在发送请求前,将目标价格按照品种的最小报价单位归一化,并把下单量四舍五入到交易所允许的范围。
- 对已激活的保护单使用
ReRegisterOrder 进行修改,避免无谓的撤单,模拟 MetaTrader 直接修改订单的方式。
参数
ZenPrice – 用作止损或止盈的绝对价格。设置为 0 即停用自动化。默认值:0。
使用说明
- 策略从不提交入场订单,可与手动交易终端或其他自动化策略同时运行。
- 只有在收到包含买价和卖价的首个 Level1 快照后,才会发出保护单。此前策略会静待数据,就像原始 MQL 脚本依赖终端行情一样。
- 当条件只满足一侧(例如
ZenPrice 高于卖价但不低于买价)时,会撤销另一侧的保护单,以免遗留过期价格。
- 代码中的注释全部使用英文,文档则按照项目要求提供多语言版本。
- 原脚本直接修改持仓票据中的止损和止盈字段,而 StockSharp 将保护水平表示为独立的止损单和限价单,因此本移植版本改为操作交易所可见的订单。
- MetaTrader 会自动把价格对齐到经纪商精度。本移植通过
NormalizePrice 利用品种的价格步长和小数位数实现相同效果。
- 在发送保护单之前,会把下单量四舍五入到合约的最小手数步长,以适配对合约数量有固定要求的交易场所。
namespace StockSharp.Samples.Strategies;
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
/// <summary>
/// One Price SL TP strategy: EMA + candle body size filter.
/// Buys when bullish candle with large body closes above EMA, sells on opposite.
/// </summary>
public class OnePriceSlTpStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _emaPeriod;
private bool _wasBullishSignal;
private bool _hasPrevSignal;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int EmaPeriod { get => _emaPeriod.Value; set => _emaPeriod.Value = value; }
public OnePriceSlTpStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(60).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
_emaPeriod = Param(nameof(EmaPeriod), 50)
.SetGreaterThanZero()
.SetDisplay("EMA Period", "EMA trend filter period", "Indicators");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_wasBullishSignal = false;
_hasPrevSignal = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_wasBullishSignal = false;
_hasPrevSignal = false;
var ema = new ExponentialMovingAverage { Length = EmaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(ema, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal emaValue)
{
if (candle.State != CandleStates.Finished) return;
var body = Math.Abs(candle.ClosePrice - candle.OpenPrice);
var range = candle.HighPrice - candle.LowPrice;
if (range <= 0) return;
// Strong candle: body > 60% of range
if (body < range * 0.7m) return;
var bullishSignal = candle.ClosePrice > candle.OpenPrice && candle.ClosePrice > emaValue;
var bearishSignal = candle.ClosePrice < candle.OpenPrice && candle.ClosePrice < emaValue;
var crossedUp = bullishSignal && (!_hasPrevSignal || !_wasBullishSignal);
var crossedDown = bearishSignal && (!_hasPrevSignal || _wasBullishSignal);
if (crossedUp && Position <= 0)
BuyMarket();
else if (crossedDown && Position >= 0)
SellMarket();
if (bullishSignal || bearishSignal)
{
_wasBullishSignal = bullishSignal;
_hasPrevSignal = true;
}
}
}
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 one_price_sl_tp_strategy(Strategy):
def __init__(self):
super(one_price_sl_tp_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(60)))
self._ema_period = self.Param("EmaPeriod", 50)
self._was_bullish_signal = False
self._has_prev_signal = False
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
@property
def EmaPeriod(self):
return self._ema_period.Value
@EmaPeriod.setter
def EmaPeriod(self, value):
self._ema_period.Value = value
def OnReseted(self):
super(one_price_sl_tp_strategy, self).OnReseted()
self._was_bullish_signal = False
self._has_prev_signal = False
def OnStarted2(self, time):
super(one_price_sl_tp_strategy, self).OnStarted2(time)
self._was_bullish_signal = False
self._has_prev_signal = False
ema = ExponentialMovingAverage()
ema.Length = self.EmaPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(ema, self._process_candle).Start()
def _process_candle(self, candle, ema_value):
if candle.State != CandleStates.Finished:
return
close = float(candle.ClosePrice)
open_price = float(candle.OpenPrice)
high = float(candle.HighPrice)
low = float(candle.LowPrice)
ema_val = float(ema_value)
body = abs(close - open_price)
range_val = high - low
if range_val <= 0:
return
if body < range_val * 0.7:
return
bullish_signal = close > open_price and close > ema_val
bearish_signal = close < open_price and close < ema_val
crossed_up = bullish_signal and (not self._has_prev_signal or not self._was_bullish_signal)
crossed_down = bearish_signal and (not self._has_prev_signal or self._was_bullish_signal)
if crossed_up and self.Position <= 0:
self.BuyMarket()
elif crossed_down and self.Position >= 0:
self.SellMarket()
if bullish_signal or bearish_signal:
self._was_bullish_signal = bullish_signal
self._has_prev_signal = True
def CreateClone(self):
return one_price_sl_tp_strategy()