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Scalping Assistant
Scalping Assistant 策略是 MetaTrader 4 指标 "Scalper Assistant v1.0" 的直接移植版本。策略本身不会开仓,而是监控指定标的的持仓,并以 MetaTrader 的方式管理保护性订单。
工作流程
- 当检测到新持仓时,策略会按照配置的距离(以价格最小变动计)立即下达止损和止盈订单。
- 策略订阅 level1 数据,持续跟踪最优买/卖价,从而估算当前浮动盈亏。
- 一旦浮盈达到
BreakEvenTriggerPoints,初始止损会被取消并在保本价附近重新下单,同时加上 BreakEvenOffsetPoints 指定的偏移。
- 止损移动到保本后不再继续拖尾;止盈订单保持不变。
- 持仓关闭后,所有保护性订单都会被撤销,内部状态重置,等待下一笔人工交易。
使用提示
- 将策略连接到交易适配器/投资组合,手动或通过其他逻辑开仓,本策略仅负责仓位保护。
- 逻辑依赖 level1 报价,请确保连接源能提供最优买卖价。
- 此处的“点”指的是品种的价格最小变动 (
Security.PriceStep),对于五位小数的外汇品种通常等同于 1 个 pip。
参数
| 名称 |
类型 |
默认值 |
说明 |
StopLossPoints |
decimal |
30 |
初始止损距离(价格最小变动数量)。设置为 0 表示不下达止损订单。 |
TakeProfitPoints |
decimal |
100 |
初始止盈距离。设置为 0 表示不下达止盈订单。 |
BreakEvenTriggerPoints |
decimal |
15 |
触发保本所需的盈利(以价格最小变动计)。 |
BreakEvenOffsetPoints |
decimal |
5 |
将止损移动到保本位时额外添加的距离。 |
转换说明
- ✅ 核心逻辑:按照 MetaTrader 输入参数实现保本止损。
- ✅ 高级 API:使用
SubscribeLevel1() 并绑定委托。
- ✅ 保护性订单:通过
SellStop、BuyStop、SellLimit、BuyLimit 创建。
- ❌ 未提供 Python 版本,仅包含请求的 C# 策略。
namespace StockSharp.Samples.Strategies;
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
/// <summary>
/// Scalping Assistant strategy: RSI + EMA filter.
/// Buys when RSI crosses above 30 with price above EMA, sells when RSI crosses below 70 with price below EMA.
/// </summary>
public class ScalpingAssistantStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<int> _emaPeriod;
private decimal _prevRsi;
private bool _hasPrev;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public int EmaPeriod { get => _emaPeriod.Value; set => _emaPeriod.Value = value; }
public ScalpingAssistantStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "RSI period", "Indicators");
_emaPeriod = Param(nameof(EmaPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("EMA Period", "EMA trend filter period", "Indicators");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevRsi = 0;
_hasPrev = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_hasPrev = false;
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var ema = new ExponentialMovingAverage { Length = EmaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(rsi, ema, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue, decimal emaValue)
{
if (candle.State != CandleStates.Finished) return;
if (_hasPrev)
{
if (_prevRsi < 30 && rsiValue >= 30 && candle.ClosePrice > emaValue && Position <= 0)
BuyMarket();
else if (_prevRsi > 70 && rsiValue <= 70 && candle.ClosePrice < emaValue && Position >= 0)
SellMarket();
}
_prevRsi = rsiValue;
_hasPrev = 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 RelativeStrengthIndex, ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class scalping_assistant_strategy(Strategy):
def __init__(self):
super(scalping_assistant_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5)))
self._rsi_period = self.Param("RsiPeriod", 14)
self._ema_period = self.Param("EmaPeriod", 20)
self._prev_rsi = 0.0
self._has_prev = False
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
@property
def RsiPeriod(self):
return self._rsi_period.Value
@RsiPeriod.setter
def RsiPeriod(self, value):
self._rsi_period.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(scalping_assistant_strategy, self).OnReseted()
self._prev_rsi = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(scalping_assistant_strategy, self).OnStarted2(time)
self._has_prev = False
rsi = RelativeStrengthIndex()
rsi.Length = self.RsiPeriod
ema = ExponentialMovingAverage()
ema.Length = self.EmaPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(rsi, ema, self._process_candle).Start()
def _process_candle(self, candle, rsi_value, ema_value):
if candle.State != CandleStates.Finished:
return
rsi_val = float(rsi_value)
ema_val = float(ema_value)
close = float(candle.ClosePrice)
if self._has_prev:
if self._prev_rsi < 30 and rsi_val >= 30 and close > ema_val and self.Position <= 0:
self.BuyMarket()
elif self._prev_rsi > 70 and rsi_val <= 70 and close < ema_val and self.Position >= 0:
self.SellMarket()
self._prev_rsi = rsi_val
self._has_prev = True
def CreateClone(self):
return scalping_assistant_strategy()