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True Scalper Profit Lock 保本策略
概述
True Scalper Profit Lock 保本策略是 MetaTrader 4 智能交易系统 TrueScalperProfitLock.mq4 的 StockSharp 版本。策略结合了 3 周期与 7 周期指数移动平均线的交叉,以及两种可选的 RSI 极性过滤器,用于在高频剥头皮环境中寻找反转机会。仓位建立后会自动设置止损、止盈,并可选择在达到预设利润时把止损上调到保本区间。
交易逻辑
- 趋势判定: 使用上一根已完成 K 线的收盘价计算 3 周期与 7 周期 EMA。当快速 EMA 与慢速 EMA 的差值大于一个最小价格步长时,视为存在有效趋势。
- RSI 过滤: 策略保留了原始 EA 的两种校验模式。方法 A 要求 2 周期 RSI 在最近两根 K 线之间穿越阈值;方法 B 仅检测两根 K 线之前的 RSI 是否高于或低于阈值。两种模式可以独立启用,默认开启方法 B。
- 入场方向: 做多需要快速 EMA 高于慢速 EMA,同时 RSI 显示超卖(低于阈值);做空则要求 RSI 显示超买(高于阈值)。
仓位管理
- 初始防护: 入场后会根据合约的最小报价单位计算固定距离的止损和止盈(默认分别为 90 点和 44 点)。
- 利润锁定: 当价格向有利方向移动超过
BreakEvenTriggerPoints 时,可选择将止损上移到开仓价附近,再加上 BreakEvenOffsetPoints 指定的偏移,复制 EA 中的 ProfitLock 功能。
- 放弃机制:
AbandonBars 控制放弃计时的长度。方法 A 在超时后平仓并立即设置反向入场标志,方法 B 则仅关闭仓位并重新等待信号。
- 资金管理: 资金管理公式与原版一致,根据账户权益、风险百分比以及迷你账户/真实账户限制计算下单手数。关闭
UseMoneyManagement 时会回退到固定下单量。
主要参数
| 参数 |
说明 |
CandleType |
处理的 K 线周期。 |
FixedVolume |
关闭资金管理时的基础下单量。 |
TakeProfitPoints / StopLossPoints |
止盈与止损的距离(以最小价位计)。 |
UseRsiMethodA / UseRsiMethodB |
是否启用两种 RSI 过滤模式。 |
RsiThreshold |
RSI 比较使用的阈值。 |
AbandonMethodA / AbandonMethodB |
放弃机制的两种行为。 |
AbandonBars |
放弃机制启动前需完成的 K 线数量。 |
UseMoneyManagement、RiskPercent、AccountIsMini、LiveTradingMode |
资金管理相关配置。 |
UseProfitLock、BreakEvenTriggerPoints、BreakEvenOffsetPoints |
保本移动设置。 |
MaxOpenTrades |
允许同时持有的最大仓位数量。 |
使用提示
- 策略仅使用已完成的 K 线,与原始 EA 的
shift 逻辑保持一致。
- 通过启用或禁用两种 RSI 模式可以复制原始配置。
- 保本和放弃机制依赖于蜡烛的最高价/最低价来判断是否触发,在高周期下运行时需考虑跳空造成的影响。
- 资金管理需要投资组合提供
BeginValue,否则会自动退回固定下单量。
文件
CS/TrueScalperProfitLockBreakEvenStrategy.cs – 策略的 C# 实现。
README.md – 英文说明。
README_ru.md – 俄文说明。
using System;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// True Scalper strategy - RSI overbought/oversold reversal.
/// Buys when RSI drops below oversold level.
/// Sells when RSI rises above overbought level.
/// </summary>
public class TrueScalperProfitLockBreakEvenStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _overbought;
private readonly StrategyParam<decimal> _oversold;
private readonly StrategyParam<int> _cooldownCandles;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevRsi;
private bool _hasPrev;
private int _cooldownRemaining;
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public decimal Overbought { get => _overbought.Value; set => _overbought.Value = value; }
public decimal Oversold { get => _oversold.Value; set => _oversold.Value = value; }
public int CooldownCandles { get => _cooldownCandles.Value; set => _cooldownCandles.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public TrueScalperProfitLockBreakEvenStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetDisplay("RSI Period", "RSI lookback", "Indicators");
_overbought = Param(nameof(Overbought), 75m)
.SetDisplay("Overbought", "RSI overbought", "Levels");
_oversold = Param(nameof(Oversold), 25m)
.SetDisplay("Oversold", "RSI oversold", "Levels");
_cooldownCandles = Param(nameof(CooldownCandles), 10)
.SetDisplay("Cooldown", "Candles to wait between signals", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevRsi = default;
_hasPrev = default;
_cooldownRemaining = default;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevRsi = 0;
_hasPrev = false;
_cooldownRemaining = 0;
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(rsi, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal rsi)
{
if (candle.State != CandleStates.Finished) return;
if (!_hasPrev) { _prevRsi = rsi; _hasPrev = true; return; }
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_prevRsi = rsi;
return;
}
var oversold = Oversold;
var overbought = Overbought;
if (_prevRsi >= oversold && rsi < oversold && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
_cooldownRemaining = CooldownCandles;
}
else if (_prevRsi <= overbought && rsi > overbought && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
_cooldownRemaining = CooldownCandles;
}
_prevRsi = rsi;
}
}
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
from StockSharp.Algo.Strategies import Strategy
class true_scalper_profit_lock_break_even_strategy(Strategy):
def __init__(self):
super(true_scalper_profit_lock_break_even_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI Period", "RSI lookback", "Indicators")
self._overbought = self.Param("Overbought", 75.0) \
.SetDisplay("Overbought", "RSI overbought", "Levels")
self._oversold = self.Param("Oversold", 25.0) \
.SetDisplay("Oversold", "RSI oversold", "Levels")
self._cooldown_candles = self.Param("CooldownCandles", 10) \
.SetDisplay("Cooldown", "Candles to wait between signals", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Candle timeframe", "General")
self._prev_rsi = 0.0
self._has_prev = False
self._cooldown_remaining = 0
@property
def rsi_period(self):
return self._rsi_period.Value
@property
def overbought(self):
return self._overbought.Value
@property
def oversold(self):
return self._oversold.Value
@property
def cooldown_candles(self):
return self._cooldown_candles.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(true_scalper_profit_lock_break_even_strategy, self).OnReseted()
self._prev_rsi = 0.0
self._has_prev = False
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(true_scalper_profit_lock_break_even_strategy, self).OnStarted2(time)
self._prev_rsi = 0.0
self._has_prev = False
self._cooldown_remaining = 0
rsi = RelativeStrengthIndex()
rsi.Length = self.rsi_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(rsi, self.process_candle).Start()
def process_candle(self, candle, rsi):
if candle.State != CandleStates.Finished:
return
rsi_val = float(rsi)
if not self._has_prev:
self._prev_rsi = rsi_val
self._has_prev = True
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
self._prev_rsi = rsi_val
return
oversold = float(self.oversold)
overbought = float(self.overbought)
if self._prev_rsi >= oversold and rsi_val < oversold and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._cooldown_remaining = self.cooldown_candles
elif self._prev_rsi <= overbought and rsi_val > overbought and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._cooldown_remaining = self.cooldown_candles
self._prev_rsi = rsi_val
def CreateClone(self):
return true_scalper_profit_lock_break_even_strategy()