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Risk Reward Ratio 策略
概述
Risk Reward Ratio Strategy 是 MetaTrader 智能交易系统 “Risk Reward Ratio” 的 StockSharp 版本。该策略使用多重动量和趋势过滤器,并辅以严格的风险管理模块。入场条件要求快速/慢速随机指标、两条线性加权均线(LWMA)交叉、14 周期 RSI 以及 MACD 趋势方向全部一致。风控部分提供点值止损、按照固定盈亏比的止盈、可选的追踪止损与保本机制,以及紧急平仓开关。
本移植使用 StockSharp 的高层 API:通过 SubscribeCandles().BindEx(...) 订阅蜡烛并绑定指标,只处理收盘蜡烛,不直接访问指标缓存,以符合事件驱动模式。
交易逻辑
- 随机指标共振
- 快速随机指标 (5, 2, 2) 的 %K 提供动量信号。
- 慢速随机指标 (21, 10, 4) 的 %D 用于判断大方向。
- 多头要求快速 %K 高于慢速 %D,空头则相反。
- RSI 过滤
- RSI(14) 必须高于 50 方可做多,低于 50 方可做空,确保顺势。
- LWMA 趋势过滤
- 两条 LWMA(长度 6 与 85)需同向:做多时快线在慢线之上,做空时反之。
- MACD 趋势确认
- MACD(12, 26, 9) 主线必须领先信号线,并且位于正确的象限(多头在零线上方,空头在零线下方)。
- 动量偏离阈值
- Momentum(14) 衡量价格对 100 的偏离。最近三次读数中至少一次需要超过
MomentumThreshold。
- 仓位上限
- 净仓位限制在
MaxPositions * TradeVolume,与原版 EA 保持一致。
策略使用 BuyMarket / SellMarket 下达市价单,忽略未完成蜡烛,所有状态保存在策略对象内部。
风险管理
- 点值止损 —— 每次入场都会根据
StopLossPips * PriceStep 设置保护止损。
- 固定盈亏比止盈 —— 止盈距离等于止损距离乘以
RewardRatio。
- 追踪止损 —— 当启用且价格朝有利方向运行超过
TrailingStopPips 点时,止损跟随价格移动。
- 保本移动 —— 价格盈利达到
BreakEvenTriggerPips 点后,将止损移至入场价并额外留出 BreakEvenOffsetPips 缓冲(做空为负方向)。
- 紧急开关 ——
ExitSwitch 设为 true 时,在下一根收盘蜡烛立即平仓并暂停进一步操作。
参数
| 参数 |
默认值 |
说明 |
TradeVolume |
0.1 |
每次交易的量。 |
CandleType |
15 分钟 |
主要使用的蜡烛序列。 |
FastMaPeriod |
6 |
快速 LWMA 周期。 |
SlowMaPeriod |
85 |
慢速 LWMA 周期。 |
MomentumThreshold |
0.3 |
动量指标偏离 100 的最小阈值。 |
RewardRatio |
2 |
止盈与止损的比率。 |
StopLossPips |
20 |
止损距离(点)。 |
MaxPositions |
10 |
最大允许的仓位单位数。 |
EnableTrailing |
true |
启用追踪止损。 |
TrailingStopPips |
40 |
追踪止损的点数。 |
EnableBreakEven |
true |
启用保本移动。 |
BreakEvenTriggerPips |
30 |
触发保本的盈利点数。 |
BreakEvenOffsetPips |
30 |
移动到保本后额外偏移的点数。 |
ExitSwitch |
false |
紧急平仓开关。 |
操作步骤
- 选择交易标的与蜡烛时间框架,设置风控参数。
- 启动策略,系统会自动订阅蜡烛并计算所有指标。
- 当所有条件满足时,提交市价单并记录止损/止盈。
- 每根收盘蜡烛都会重新评估追踪、保本以及紧急开关状态。
- 平仓可能由止损、止盈、追踪或紧急开关触发。
注意事项
- 策略完全基于 StockSharp 自带指标,不直接访问历史缓冲区。
- 需要确保标的拥有有效的
PriceStep,否则风险距离不会被设置。
- 出场始终使用市价单,不会修改挂单,与原始 EA 的行为一致。
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 RiskRewardRatioStrategy : 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 RiskRewardRatioStrategy()
{
_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 risk_reward_ratio_strategy(Strategy):
def __init__(self):
super(risk_reward_ratio_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(risk_reward_ratio_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(risk_reward_ratio_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 risk_reward_ratio_strategy()