Bruno 趋势策略
概览
Bruno 趋势策略是 MetaTrader 专家顾问“Bruno_v1”的 StockSharp 移植版本。策略运行在 30 分钟 K 线之上,专注于多个经典趋势与动量指标在看涨方向上的同步信号。与原始脚本一致,仅建立多头仓位。
交易逻辑
- 时间框架:30 分钟。
- 指标组合:
- 长度为 4 的简单移动平均线(SMA),监控极短期动量。
- 长度为 8 与 21 的指数移动平均线(EMA),定义主要趋势方向。
- 长度为 13 的平均趋向指数(ADX),通过 +DI 与 -DI 判断趋势强度。
- 随机指标参数:%K=21、%D=3、平滑=3,用于确认动量并避免过度超买。
- MACD 指标(13, 34, 8),同时比较柱状图与信号线。
- 抛物线转向(Parabolic SAR),步长 0.055、最大值 0.21,用于验证上升趋势并辅助止损。
- 入场条件:
- EMA(8) 高于 EMA(21)。
- ADX 过滤:+DI 大于 -DI 且高于 20。
- 随机指标:%K 高于 %D 且低于 80。
- MACD 柱状图大于 0 且高于信号线。
- Parabolic SAR 持续上升(当前值高于上一根值)。
- 当前仓位需为空仓或净空头,若存在空头将先行平仓再开多。
- 出场条件:
- 若上一根 K 线的收盘价跌破上一根 Parabolic SAR 值,则平掉所有多头仓位。
风险管理
- 默认手数:0.1 手。
- 通过
StartProtection复刻 MetaTrader 风格的保护:默认止盈 50 点、止损 30 点。为保持与原始代码一致,默认不启用追踪止损。
额外说明
- 原始脚本中的做空逻辑在 MQL 中被禁用,移植时也保持该设计。
- 指标计算全部使用 StockSharp 高阶 API 绑定,避免手工缓存数据,符合项目规范。
using System;
using System.Collections.Generic;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Bruno trend strategy - EMA trend following with RSI confirmation.
/// Buys when fast EMA is above slow EMA and RSI is rising.
/// Sells when fast EMA crosses below slow EMA.
/// </summary>
public class BrunoTrendStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private decimal _prevRsi;
private bool _hasPrev;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public BrunoTrendStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 8)
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 21)
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetDisplay("RSI Period", "RSI period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities() => [(Security, CandleType)];
protected override void OnReseted() { base.OnReseted(); _prevFast = 0m; _prevSlow = 0m; _prevRsi = 0m; _hasPrev = false; }
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_hasPrev = false;
var fast = new ExponentialMovingAverage { Length = FastPeriod };
var slow = new ExponentialMovingAverage { Length = SlowPeriod };
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fast, slow, rsi, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal slow, decimal rsi)
{
if (candle.State != CandleStates.Finished)
return;
if (!_hasPrev)
{
_prevFast = fast;
_prevSlow = slow;
_prevRsi = rsi;
_hasPrev = true;
return;
}
var crossUp = _prevFast <= _prevSlow && fast > slow;
var crossDown = _prevFast >= _prevSlow && fast < slow;
// Buy on bullish crossover with rising RSI
if (crossUp && rsi > _prevRsi && Position <= 0)
{
if (Position < 0)
BuyMarket();
BuyMarket();
}
// Sell on bearish crossover
else if (crossDown && Position >= 0)
{
if (Position > 0)
SellMarket();
SellMarket();
}
_prevFast = fast;
_prevSlow = slow;
_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 ExponentialMovingAverage, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class bruno_trend_strategy(Strategy):
def __init__(self):
super(bruno_trend_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 8) \
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators")
self._slow_period = self.Param("SlowPeriod", 21) \
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators")
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI Period", "RSI period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle timeframe", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._prev_rsi = 0.0
self._has_prev = False
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def rsi_period(self):
return self._rsi_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(bruno_trend_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._prev_rsi = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(bruno_trend_strategy, self).OnStarted2(time)
self._has_prev = False
fast = ExponentialMovingAverage()
fast.Length = self.fast_period
slow = ExponentialMovingAverage()
slow.Length = self.slow_period
rsi = RelativeStrengthIndex()
rsi.Length = self.rsi_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast, slow, rsi, self.process_candle).Start()
def process_candle(self, candle, fast, slow, rsi):
if candle.State != CandleStates.Finished:
return
fast_val = float(fast)
slow_val = float(slow)
rsi_val = float(rsi)
if not self._has_prev:
self._prev_fast = fast_val
self._prev_slow = slow_val
self._prev_rsi = rsi_val
self._has_prev = True
return
cross_up = self._prev_fast <= self._prev_slow and fast_val > slow_val
cross_down = self._prev_fast >= self._prev_slow and fast_val < slow_val
if cross_up and rsi_val > self._prev_rsi and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif cross_down and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_fast = fast_val
self._prev_slow = slow_val
self._prev_rsi = rsi_val
def CreateClone(self):
return bruno_trend_strategy()