RSI + EMA 趋势策略
该策略将经典的相对强弱指数(RSI)与两条指数移动平均线(EMA)趋势过滤器相结合。RSI 用于衡量短期的超买和超卖状态,而快慢两条 EMA 则界定了市场的大方向。只有当快 EMA 高于慢 EMA 时才允许开仓,从而避免在强劲趋势中逆势操作。
当价格推动 RSI 跌至超卖水平且快 EMA 位于慢 EMA 之上时,视为上升趋势中的短期回调,策略开多仓。相反,如果 RSI 上穿超买阈值并且快 EMA 仍然高于慢 EMA,则开空仓,预期在更大趋势框架内出现短暂回落。
一旦 RSI 从相反方向离开极值区域,仓位即被平掉,表示均值回归行情已接近结束。该方法结构简单,适合在趋势明显且流动性良好的市场中捕捉短期动量波动。
细节
- 入场条件:
- 做多:
RSI < oversold且EMA1 > EMA2。 - 做空:
RSI > overbought且EMA1 > EMA2。
- 做多:
- 方向:双向。
- 出场条件:
- 多单:
RSI > overbought。 - 空单:
RSI < oversold。
- 多单:
- 止损:无内置。
- 默认参数:
RSI Length= 14。Overbought/Oversold= 70 / 30。EMA Lengths= 150 / 600。
- 筛选:
- 类型:动量
- 方向:双向
- 指标:多个
- 止损:否
- 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
namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
/// <summary>
/// RSI + EMA Strategy.
/// Uses RSI oversold/overbought levels with dual EMA trend filter.
/// Buys when RSI is oversold and fast EMA > slow EMA.
/// Sells when RSI is overbought and fast EMA > slow EMA.
/// </summary>
public class RsiEmaStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _rsiLength;
private readonly StrategyParam<int> _rsiOverbought;
private readonly StrategyParam<int> _rsiOversold;
private readonly StrategyParam<int> _ma1Length;
private readonly StrategyParam<int> _ma2Length;
private readonly StrategyParam<int> _cooldownBars;
private RelativeStrengthIndex _rsi;
private ExponentialMovingAverage _ma1;
private ExponentialMovingAverage _ma2;
private int _cooldownRemaining;
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public int RsiLength
{
get => _rsiLength.Value;
set => _rsiLength.Value = value;
}
public int RsiOverbought
{
get => _rsiOverbought.Value;
set => _rsiOverbought.Value = value;
}
public int RsiOversold
{
get => _rsiOversold.Value;
set => _rsiOversold.Value = value;
}
public int Ma1Length
{
get => _ma1Length.Value;
set => _ma1Length.Value = value;
}
public int Ma2Length
{
get => _ma2Length.Value;
set => _ma2Length.Value = value;
}
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
public RsiEmaStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_rsiLength = Param(nameof(RsiLength), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Length", "RSI calculation length", "RSI");
_rsiOverbought = Param(nameof(RsiOverbought), 70)
.SetDisplay("RSI Overbought", "RSI overbought level", "RSI");
_rsiOversold = Param(nameof(RsiOversold), 30)
.SetDisplay("RSI Oversold", "RSI oversold level", "RSI");
_ma1Length = Param(nameof(Ma1Length), 20)
.SetGreaterThanZero()
.SetDisplay("MA1 Length", "Fast EMA length", "Moving Averages");
_ma2Length = Param(nameof(Ma2Length), 50)
.SetGreaterThanZero()
.SetDisplay("MA2 Length", "Slow EMA length", "Moving Averages");
_cooldownBars = Param(nameof(CooldownBars), 10)
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "Risk");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_rsi = null;
_ma1 = null;
_ma2 = null;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_rsi = new RelativeStrengthIndex { Length = RsiLength };
_ma1 = new ExponentialMovingAverage { Length = Ma1Length };
_ma2 = new ExponentialMovingAverage { Length = Ma2Length };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_rsi, _ma1, _ma2, OnProcess)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _ma1);
DrawIndicator(area, _ma2);
DrawOwnTrades(area);
}
}
private void OnProcess(ICandleMessage candle, decimal rsiVal, decimal ma1Val, decimal ma2Val)
{
if (candle.State != CandleStates.Finished)
return;
if (!_rsi.IsFormed || !_ma1.IsFormed || !_ma2.IsFormed)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
return;
}
var uptrend = ma1Val > ma2Val;
var downtrend = ma1Val < ma2Val;
// Buy: RSI oversold in uptrend
if (rsiVal < RsiOversold && uptrend && Position <= 0)
{
if (Position < 0)
BuyMarket(Math.Abs(Position));
BuyMarket(Volume);
_cooldownRemaining = CooldownBars;
}
// Sell: RSI overbought in downtrend
else if (rsiVal > RsiOverbought && downtrend && Position >= 0)
{
if (Position > 0)
SellMarket(Math.Abs(Position));
SellMarket(Volume);
_cooldownRemaining = CooldownBars;
}
// Exit long: RSI overbought
else if (Position > 0 && rsiVal > RsiOverbought)
{
SellMarket(Math.Abs(Position));
_cooldownRemaining = CooldownBars;
}
// Exit short: RSI oversold
else if (Position < 0 && rsiVal < RsiOversold)
{
BuyMarket(Math.Abs(Position));
_cooldownRemaining = CooldownBars;
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import RelativeStrengthIndex, ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class rsi_ema_strategy(Strategy):
"""RSI + EMA Strategy."""
def __init__(self):
super(rsi_ema_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(30))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._rsi_length = self.Param("RsiLength", 14) \
.SetDisplay("RSI Length", "RSI calculation length", "RSI")
self._rsi_overbought = self.Param("RsiOverbought", 70) \
.SetDisplay("RSI Overbought", "RSI overbought level", "RSI")
self._rsi_oversold = self.Param("RsiOversold", 30) \
.SetDisplay("RSI Oversold", "RSI oversold level", "RSI")
self._ma1_length = self.Param("Ma1Length", 20) \
.SetDisplay("MA1 Length", "Fast EMA length", "Moving Averages")
self._ma2_length = self.Param("Ma2Length", 50) \
.SetDisplay("MA2 Length", "Slow EMA length", "Moving Averages")
self._cooldown_bars = self.Param("CooldownBars", 10) \
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "Risk")
self._rsi = None
self._ma1 = None
self._ma2 = None
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(rsi_ema_strategy, self).OnReseted()
self._rsi = None
self._ma1 = None
self._ma2 = None
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(rsi_ema_strategy, self).OnStarted2(time)
self._rsi = RelativeStrengthIndex()
self._rsi.Length = int(self._rsi_length.Value)
self._ma1 = ExponentialMovingAverage()
self._ma1.Length = int(self._ma1_length.Value)
self._ma2 = ExponentialMovingAverage()
self._ma2.Length = int(self._ma2_length.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._rsi, self._ma1, self._ma2, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._ma1)
self.DrawIndicator(area, self._ma2)
self.DrawOwnTrades(area)
def _on_process(self, candle, rsi_val, ma1_val, ma2_val):
if candle.State != CandleStates.Finished:
return
if not self._rsi.IsFormed or not self._ma1.IsFormed or not self._ma2.IsFormed:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
return
rsi = float(rsi_val)
ma1 = float(ma1_val)
ma2 = float(ma2_val)
rsi_ob = int(self._rsi_overbought.Value)
rsi_os = int(self._rsi_oversold.Value)
cooldown = int(self._cooldown_bars.Value)
uptrend = ma1 > ma2
downtrend = ma1 < ma2
if rsi < rsi_os and uptrend and self.Position <= 0:
if self.Position < 0:
self.BuyMarket(Math.Abs(self.Position))
self.BuyMarket(self.Volume)
self._cooldown_remaining = cooldown
elif rsi > rsi_ob and downtrend and self.Position >= 0:
if self.Position > 0:
self.SellMarket(Math.Abs(self.Position))
self.SellMarket(self.Volume)
self._cooldown_remaining = cooldown
elif self.Position > 0 and rsi > rsi_ob:
self.SellMarket(Math.Abs(self.Position))
self._cooldown_remaining = cooldown
elif self.Position < 0 and rsi < rsi_os:
self.BuyMarket(Math.Abs(self.Position))
self._cooldown_remaining = cooldown
def CreateClone(self):
return rsi_ema_strategy()