Hybrid EA 策略
Hybrid EA 策略使用相对活力指数 (RVI) 及其信号线。 当 RVI 高于信号线设定的差值时买入,当 RVI 低于信号线相同的差值时卖出。仓位通过固定的止盈和止损点数进行保护。
细节
- 入场条件: RVI 减信号超过阈值
- 多空方向: 双向
- 出场条件: 反向阈值交叉或止盈/止损
- 止损: 有,固定点数
- 默认值:
Volume= 1RviLength= 10SignalLength= 4DifferenceThreshold= 0.05TakeProfit= 18StopLoss= 9CandleType= 5 分钟 K 线
- 过滤器:
- 分类: 振荡器
- 方向: 双向
- 指标: RVI, SMA
- 止损: 有
- 复杂度: 基础
- 时间框架: 日内
- 季节性: 否
- 神经网络: 否
- 背离: 否
- 风险等级: 中等
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;
/// <summary>
/// Hybrid EA strategy combining EMA crossover with RSI momentum filter.
/// Enters long on EMA cross up + RSI above 50, short on cross down + RSI below 50.
/// </summary>
public class HybridEaStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private bool _hasPrev;
private decimal _entryPrice;
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 int AtrPeriod { get => _atrPeriod.Value; set => _atrPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public HybridEaStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 8)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 21)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "RSI period", "Indicators");
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("ATR Period", "ATR period for stops", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_prevFast = 0; _prevSlow = 0; _hasPrev = false; _entryPrice = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fast = new ExponentialMovingAverage { Length = FastPeriod };
var slow = new ExponentialMovingAverage { Length = SlowPeriod };
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var atr = new StandardDeviation { Length = AtrPeriod };
SubscribeCandles(CandleType).Bind(fast, slow, rsi, atr, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal slow, decimal rsi, decimal atr)
{
if (candle.State != CandleStates.Finished) return;
if (!_hasPrev) { _prevFast = fast; _prevSlow = slow; _hasPrev = true; return; }
var close = candle.ClosePrice;
// EMA cross up + RSI above 50 => long
if (_prevFast <= _prevSlow && fast > slow && rsi > 50)
{
if (Position < 0) BuyMarket();
if (Position <= 0)
{
BuyMarket();
_entryPrice = close;
}
}
// EMA cross down + RSI below 50 => short
else if (_prevFast >= _prevSlow && fast < slow && rsi < 50)
{
if (Position > 0) SellMarket();
if (Position >= 0)
{
SellMarket();
_entryPrice = close;
}
}
// Exit long
else if (Position > 0)
{
if (fast < slow || (atr > 0 && _entryPrice > 0 && close <= _entryPrice - atr * 2))
{
SellMarket();
_entryPrice = 0;
}
}
// Exit short
else if (Position < 0)
{
if (fast > slow || (atr > 0 && _entryPrice > 0 && close >= _entryPrice + atr * 2))
{
BuyMarket();
_entryPrice = 0;
}
}
_prevFast = fast; _prevSlow = slow;
}
}
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, StandardDeviation
from StockSharp.Algo.Strategies import Strategy
class hybrid_ea_strategy(Strategy):
def __init__(self):
super(hybrid_ea_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._atr_period = self.Param("AtrPeriod", 14) \
.SetDisplay("ATR Period", "ATR period for stops", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
self._entry_price = 0.0
@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 atr_period(self):
return self._atr_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(hybrid_ea_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
self._entry_price = 0.0
def OnStarted2(self, time):
super(hybrid_ea_strategy, self).OnStarted2(time)
fast = ExponentialMovingAverage()
fast.Length = self.fast_period
slow = ExponentialMovingAverage()
slow.Length = self.slow_period
rsi = RelativeStrengthIndex()
rsi.Length = self.rsi_period
atr = StandardDeviation()
atr.Length = self.atr_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast, slow, rsi, atr, self.on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def on_process(self, candle, fast, slow, rsi, atr):
if candle.State != CandleStates.Finished:
return
if not self._has_prev:
self._prev_fast = fast
self._prev_slow = slow
self._has_prev = True
return
close = candle.ClosePrice
# EMA cross up + RSI above 50 => long
if self._prev_fast <= self._prev_slow and fast > slow and rsi > 50:
if self.Position < 0:
self.BuyMarket()
if self.Position <= 0:
self.BuyMarket()
self._entry_price = close
# EMA cross down + RSI below 50 => short
elif self._prev_fast >= self._prev_slow and fast < slow and rsi < 50:
if self.Position > 0:
self.SellMarket()
if self.Position >= 0:
self.SellMarket()
self._entry_price = close
# Exit long
elif self.Position > 0:
if fast < slow or (atr > 0 and self._entry_price > 0 and close <= self._entry_price - atr * 2):
self.SellMarket()
self._entry_price = 0
# Exit short
elif self.Position < 0:
if fast > slow or (atr > 0 and self._entry_price > 0 and close >= self._entry_price + atr * 2):
self.BuyMarket()
self._entry_price = 0
self._prev_fast = fast
self._prev_slow = slow
def CreateClone(self):
return hybrid_ea_strategy()