Charles EMA RSI 策略
该策略仿照 Charles 智能交易系统,将指数移动平均线 (EMA)、RSI 滤波和追踪止损结合使用,可做多也可做空,并自动保护持仓。
策略在选定的时间框架上监控快慢 EMA。当快速 EMA 向上穿越慢速 EMA 且 RSI 高于 55 时,开多仓;当快速 EMA 向下穿越慢速 EMA 且 RSI 低于 45 时,开空仓。入场后,追踪止损跟随价格锁定利润,同时内置的止损和止盈负责风险控制。
细节
- 入场条件:
- 多头:
快速 EMA上穿慢速 EMA且RSI > 55。 - 空头:
快速 EMA下穿慢速 EMA且RSI < 45。
- 多头:
- 多/空:双向。
- 出场条件:
- 追踪止损;
- 止损或止盈。
- 止损:使用内置保护并带有追踪。
- 默认值:
FastPeriod= 18SlowPeriod= 60RsiPeriod= 14TakeProfit= 0.02StopLoss= 0.008TrailStart= 0.006TrailOffset= 0.003
- 过滤器:
- 类别:趋势跟随
- 方向:双向
- 指标:多个
- 止损:是
- 复杂度:中等
- 时间框架:默认 1 小时
- 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>
/// Charles strategy: EMA crossover with RSI filter.
/// </summary>
public class CharlesStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<DataType> _candleType;
private bool _wasFastBelowSlow;
private bool _isInitialized;
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 CharlesStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 18)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Period of the fast EMA", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 60)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Period of the slow EMA", "Indicators");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "RSI calculation length", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Time frame for candles", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_wasFastBelowSlow = false;
_isInitialized = false;
}
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 };
SubscribeCandles(CandleType)
.Bind(fast, slow, rsi, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastValue, decimal slowValue, decimal rsiValue)
{
if (candle.State != CandleStates.Finished) return;
if (!_isInitialized)
{
_wasFastBelowSlow = fastValue < slowValue;
_isInitialized = true;
return;
}
var isFastBelowSlow = fastValue < slowValue;
// Long signal: fast crosses above slow + RSI > 55
if (_wasFastBelowSlow && !isFastBelowSlow && rsiValue > 55 && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
// Short signal: fast crosses below slow + RSI < 45
else if (!_wasFastBelowSlow && isFastBelowSlow && rsiValue < 45 && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_wasFastBelowSlow = isFastBelowSlow;
}
}
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_strategy(Strategy):
def __init__(self):
super(charles_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 18) \
.SetDisplay("Fast EMA", "Period of the fast EMA", "Indicators")
self._slow_period = self.Param("SlowPeriod", 60) \
.SetDisplay("Slow EMA", "Period of the slow EMA", "Indicators")
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI Period", "RSI calculation length", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Time frame for candles", "General")
self._was_fast_below_slow = False
self._is_initialized = 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_strategy, self).OnReseted()
self._was_fast_below_slow = False
self._is_initialized = False
def OnStarted2(self, time):
super(charles_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
self.SubscribeCandles(self.candle_type).Bind(fast, slow, rsi, self.process_candle).Start()
def process_candle(self, candle, fast_value, slow_value, rsi_value):
if candle.State != CandleStates.Finished:
return
fv = float(fast_value)
sv = float(slow_value)
rv = float(rsi_value)
if not self._is_initialized:
self._was_fast_below_slow = fv < sv
self._is_initialized = True
return
is_fast_below_slow = fv < sv
if self._was_fast_below_slow and not is_fast_below_slow and rv > 55 and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif not self._was_fast_below_slow and is_fast_below_slow and rv < 45 and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._was_fast_below_slow = is_fast_below_slow
def CreateClone(self):
return charles_strategy()