Charles Breakout Strategy 策略 (中文)
该文档的中文版本尚未完整,详细说明请参阅英文版 README.md。
基于上一交易日高低点的突破策略。使用RSI和EMA过滤趋势,当价格超过调整后的上轨或下轨时入场。
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>
/// Breakout strategy based on EMA crossover with RSI trend filter.
/// </summary>
public class CharlesBreakoutStrategy : 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 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 CharlesBreakoutStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 18)
.SetDisplay("Fast EMA Period", "Fast EMA length", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 60)
.SetDisplay("Slow EMA Period", "Slow EMA length", "Indicators");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetDisplay("RSI Period", "RSI length", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Timeframe for calculations", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_prevFast = 0;
_prevSlow = 0;
_hasPrev = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastEma = new ExponentialMovingAverage { Length = FastPeriod };
var slowEma = new ExponentialMovingAverage { Length = SlowPeriod };
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
SubscribeCandles(CandleType).Bind(fastEma, slowEma, rsi, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastEma, decimal slowEma, decimal rsi)
{
if (candle.State != CandleStates.Finished) return;
if (!_hasPrev)
{
_prevFast = fastEma;
_prevSlow = slowEma;
_hasPrev = true;
return;
}
var crossUp = _prevFast <= _prevSlow && fastEma > slowEma;
var crossDown = _prevFast >= _prevSlow && fastEma < slowEma;
if (crossUp && rsi > 50 && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (crossDown && rsi < 50 && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevFast = fastEma;
_prevSlow = slowEma;
}
}
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 charles_breakout_strategy(Strategy):
def __init__(self):
super(charles_breakout_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 18) \
.SetDisplay("Fast EMA Period", "Fast EMA length", "Indicators")
self._slow_period = self.Param("SlowPeriod", 60) \
.SetDisplay("Slow EMA Period", "Slow EMA length", "Indicators")
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI Period", "RSI length", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Timeframe for calculations", "General")
self._prev_fast = 0.0
self._prev_slow = 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(charles_breakout_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(charles_breakout_strategy, self).OnStarted2(time)
fast_ema = ExponentialMovingAverage()
fast_ema.Length = self.fast_period
slow_ema = ExponentialMovingAverage()
slow_ema.Length = self.slow_period
rsi = RelativeStrengthIndex()
rsi.Length = self.rsi_period
self.SubscribeCandles(self.candle_type).Bind(fast_ema, slow_ema, rsi, self.process_candle).Start()
def process_candle(self, candle, fast_ema, slow_ema, rsi):
if candle.State != CandleStates.Finished:
return
fv = float(fast_ema)
sv = float(slow_ema)
rv = float(rsi)
if not self._has_prev:
self._prev_fast = fv
self._prev_slow = sv
self._has_prev = True
return
cross_up = self._prev_fast <= self._prev_slow and fv > sv
cross_down = self._prev_fast >= self._prev_slow and fv < sv
if cross_up and rv > 50 and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif cross_down and rv < 50 and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_fast = fv
self._prev_slow = sv
def CreateClone(self):
return charles_breakout_strategy()