EMA/SMA + RSI 趋势交叉策略
该策略跟踪三条指数移动平均线(快线、中线和慢线)并配合 RSI 过滤器,以在新趋势中占据主动。当快线向上(或向下)穿越中线且价格位于慢线之上(或之下)并且蜡烛收盘方向一致时产生交易信号,从而减少震荡噪音。
可以设置在连续盈利的若干根 K 线后自动平仓。RSI 同时作为超买/超卖过滤器,当动量过度扩张时触发退出。
回测显示,该方法在趋势明确、移动平均线分离度高的加密货币品种上表现最佳。
详情
- 入场条件:
- 多头:
EMA_fast > EMA_medium且EMA_fast(t-1) <= EMA_medium(t-1)且Close > EMA_slow且Close > Open - 空头:
EMA_fast < EMA_medium且EMA_fast(t-1) >= EMA_medium(t-1)且Close < EMA_slow且Close < Open
- 多头:
- 多空方向: 双向
- 退出条件:
- 多头:
RSI > 70或 达到X根盈利 K 线且Close > entry - 空头:
RSI < 30或 达到X根盈利 K 线且Close < entry
- 多头:
- 止损: 无
- 默认值:
EMA_fast= 10EMA_medium= 20EMA_slow= 100RSI_length= 14X bars= 24
- 过滤器:
- 类型: 趋势跟随
- 方向: 双向
- 指标: EMA, RSI
- 止损: 可选的时间离场
- 复杂度: 中等
- 时间框架: 短期
- 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>
/// EMA/SMA + RSI crossover strategy.
/// Goes long when the fast EMA crosses above the medium EMA on a bullish candle closing above the slow EMA, and short
/// on the mirrored setup. A long closes when RSI rises above 70 or when it has been held XBars bars and is in profit;
/// a short closes when RSI falls below 30 or after XBars bars in profit.
/// </summary>
public class EmaSmaRsiStrategy : Strategy
{
private const decimal _rsiOverbought = 70m;
private const decimal _rsiOversold = 30m;
private readonly StrategyParam<int> _emaFast;
private readonly StrategyParam<int> _emaMedium;
private readonly StrategyParam<int> _emaSlow;
private readonly StrategyParam<int> _rsiLength;
private readonly StrategyParam<int> _xBars;
private readonly StrategyParam<DataType> _candleType;
private decimal? _prevFast;
private decimal? _prevMedium;
private decimal _entryPrice;
private int _barsInPosition;
/// <summary>
/// Fast EMA period.
/// </summary>
public int EMA_fast
{
get => _emaFast.Value;
set => _emaFast.Value = value;
}
/// <summary>
/// Medium EMA period.
/// </summary>
public int EMA_medium
{
get => _emaMedium.Value;
set => _emaMedium.Value = value;
}
/// <summary>
/// Slow EMA period.
/// </summary>
public int EMA_slow
{
get => _emaSlow.Value;
set => _emaSlow.Value = value;
}
/// <summary>
/// RSI period.
/// </summary>
public int RSI_length
{
get => _rsiLength.Value;
set => _rsiLength.Value = value;
}
/// <summary>
/// Bars after which a profitable position is closed. 0 disables the time exit.
/// </summary>
public int XBars
{
get => _xBars.Value;
set => _xBars.Value = value;
}
/// <summary>
/// Candle type for strategy calculation.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public EmaSmaRsiStrategy()
{
_emaFast = Param(nameof(EMA_fast), 10)
.SetGreaterThanZero()
.SetDisplay("EMA Fast", "Fast EMA period", "Moving Averages");
_emaMedium = Param(nameof(EMA_medium), 20)
.SetGreaterThanZero()
.SetDisplay("EMA Medium", "Medium EMA period", "Moving Averages");
_emaSlow = Param(nameof(EMA_slow), 100)
.SetGreaterThanZero()
.SetDisplay("EMA Slow", "Slow EMA period", "Moving Averages");
_rsiLength = Param(nameof(RSI_length), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Length", "RSI period", "RSI");
_xBars = Param(nameof(XBars), 24)
.SetNotNegative()
.SetDisplay("X Bars", "Bars after which a profitable position is closed", "Exit");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).TimeFrame())
.SetDisplay("Candle type", "Candle type for strategy calculation", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFast = null;
_prevMedium = null;
_entryPrice = 0m;
_barsInPosition = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevFast = null;
_prevMedium = null;
_entryPrice = 0m;
_barsInPosition = 0;
var fast = new ExponentialMovingAverage { Length = EMA_fast };
var medium = new ExponentialMovingAverage { Length = EMA_medium };
var slow = new ExponentialMovingAverage { Length = EMA_slow };
var rsi = new RelativeStrengthIndex { Length = RSI_length };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(fast, medium, slow, rsi, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fast);
DrawIndicator(area, medium);
DrawIndicator(area, slow);
DrawOwnTrades(area);
var rsiArea = CreateChartArea();
if (rsiArea != null)
DrawIndicator(rsiArea, rsi);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue fastValue, IIndicatorValue mediumValue, IIndicatorValue slowValue, IIndicatorValue rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!fastValue.IsFormed || !mediumValue.IsFormed || !slowValue.IsFormed || !rsiValue.IsFormed)
return;
var fast = fastValue.ToDecimal();
var medium = mediumValue.ToDecimal();
var slow = slowValue.ToDecimal();
var rsi = rsiValue.ToDecimal();
var prevFast = _prevFast;
var prevMedium = _prevMedium;
_prevFast = fast;
_prevMedium = medium;
if (Position != 0)
_barsInPosition++;
if (prevFast is not decimal lastFast || prevMedium is not decimal lastMedium)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var close = candle.ClosePrice;
var longSignal = fast > medium && lastFast <= lastMedium && close > slow && close > candle.OpenPrice;
var shortSignal = fast < medium && lastFast >= lastMedium && close < slow && close < candle.OpenPrice;
var timeUp = XBars > 0 && _barsInPosition >= XBars;
if (longSignal && Position <= 0)
{
BuyMarket(Volume + Math.Abs(Position));
_entryPrice = close;
_barsInPosition = 0;
}
else if (shortSignal && Position >= 0)
{
SellMarket(Volume + Math.Abs(Position));
_entryPrice = close;
_barsInPosition = 0;
}
else if (Position > 0 && (rsi > _rsiOverbought || (timeUp && close > _entryPrice)))
{
SellMarket(Position);
}
else if (Position < 0 && (rsi < _rsiOversold || (timeUp && close < _entryPrice)))
{
BuyMarket(-Position);
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Decimal
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import ExponentialMovingAverage, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
RSI_OVERBOUGHT = 70.0
RSI_OVERSOLD = 30.0
class ema_sma_rsi_strategy(Strategy):
"""
EMA/SMA + RSI crossover strategy.
Goes long when the fast EMA crosses above the medium EMA on a bullish candle closing above the slow EMA, and short
on the mirrored setup. A long closes when RSI rises above 70 or when it has been held XBars bars and is in profit;
a short closes when RSI falls below 30 or after XBars bars in profit.
"""
def __init__(self):
super(ema_sma_rsi_strategy, self).__init__()
self._ema_fast = self.Param("EMA_fast", 10) \
.SetGreaterThanZero() \
.SetDisplay("EMA Fast", "Fast EMA period", "Moving Averages")
self._ema_medium = self.Param("EMA_medium", 20) \
.SetGreaterThanZero() \
.SetDisplay("EMA Medium", "Medium EMA period", "Moving Averages")
self._ema_slow = self.Param("EMA_slow", 100) \
.SetGreaterThanZero() \
.SetDisplay("EMA Slow", "Slow EMA period", "Moving Averages")
self._rsi_length = self.Param("RSI_length", 14) \
.SetGreaterThanZero() \
.SetDisplay("RSI Length", "RSI period", "RSI")
self._x_bars = self.Param("XBars", 24) \
.SetNotNegative() \
.SetDisplay("X Bars", "Bars after which a profitable position is closed", "Exit")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15))) \
.SetDisplay("Candle type", "Candle type for strategy calculation", "General")
self._reset_state()
@property
def CandleType(self):
return self._candle_type.Value
def GetWorkingSecurities(self):
return [(self.Security, self.CandleType)]
def _reset_state(self):
self._prev_fast = None
self._prev_medium = None
self._entry_price = 0.0
self._bars_in_position = 0
def OnReseted(self):
super(ema_sma_rsi_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(ema_sma_rsi_strategy, self).OnStarted2(time)
self._reset_state()
fast = ExponentialMovingAverage()
fast.Length = self._ema_fast.Value
medium = ExponentialMovingAverage()
medium.Length = self._ema_medium.Value
slow = ExponentialMovingAverage()
slow.Length = self._ema_slow.Value
rsi = RelativeStrengthIndex()
rsi.Length = self._rsi_length.Value
subscription = self.SubscribeCandles(self.CandleType)
subscription.BindEx(fast, medium, slow, rsi, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast)
self.DrawIndicator(area, medium)
self.DrawIndicator(area, slow)
self.DrawOwnTrades(area)
rsi_area = self.CreateChartArea()
if rsi_area is not None:
self.DrawIndicator(rsi_area, rsi)
def _process_candle(self, candle, fast_value, medium_value, slow_value, rsi_value):
if candle.State != CandleStates.Finished:
return
if not fast_value.IsFormed or not medium_value.IsFormed or not slow_value.IsFormed or not rsi_value.IsFormed:
return
fast = float(fast_value.GetValue[Decimal](None))
medium = float(medium_value.GetValue[Decimal](None))
slow = float(slow_value.GetValue[Decimal](None))
rsi = float(rsi_value.GetValue[Decimal](None))
prev_fast = self._prev_fast
prev_medium = self._prev_medium
self._prev_fast = fast
self._prev_medium = medium
if self.Position != 0:
self._bars_in_position += 1
if prev_fast is None or prev_medium is None:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
close = float(candle.ClosePrice)
open_price = float(candle.OpenPrice)
long_signal = fast > medium and prev_fast <= prev_medium and close > slow and close > open_price
short_signal = fast < medium and prev_fast >= prev_medium and close < slow and close < open_price
x_bars = int(self._x_bars.Value)
time_up = x_bars > 0 and self._bars_in_position >= x_bars
if long_signal and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
self._entry_price = close
self._bars_in_position = 0
elif short_signal and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
self._entry_price = close
self._bars_in_position = 0
elif self.Position > 0 and (rsi > RSI_OVERBOUGHT or (time_up and close > self._entry_price)):
self.SellMarket(self.Position)
elif self.Position < 0 and (rsi < RSI_OVERSOLD or (time_up and close < self._entry_price)):
self.BuyMarket(-self.Position)
def CreateClone(self):
return ema_sma_rsi_strategy()