Tendency EMA + RSI 策略
该策略在慢速趋势 EMA 上叠加快/中速 EMA 的交叉,并加入 RSI 过滤。做多需要快 EMA 上穿中 EMA,且二者都在慢 EMA 之上并且K线收阳;做空条件相反。RSI 到达极值时平仓,还可选择在盈利情况下经过 X 根K线后平仓。
该方法旨在仅参与与当前趋势一致的回调入场,利用 RSI 在动量过度延伸时退出。最适用于日内图表,EMA 交叉能提供及时信号,一天内会出现多次机会。
细节
- 入场条件:
- 快 EMA 上穿中 EMA,且两者都在慢 EMA 之上,K线收阳。
- 快 EMA 下穿中 EMA,且两者都在慢 EMA 之下,K线收阴。
- 多/空:默认做多,可选做空。
- 出场条件:
- RSI > 70 平多;RSI < 30 平空。
- 可选:盈利时经过 X 根K线后平仓。
- 止损:无内置。
- 默认参数:
- RSI 周期 = 14。
- EMA A/B/C 周期 = 9/21/50。
- X 根K线关闭功能默认关闭,X = 5。
- 过滤器:
- 类别:趋势 + 动量
- 方向:双向(默认多头)
- 指标:EMA、RSI
- 止损:无
- 复杂度:中等
- 周期:短期
- 季节性:无
- 神经网络:无
- 背离:无
- 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>
/// Tendency EMA + RSI Strategy.
/// Uses EMA crossover with RSI and trend filter.
/// Buys when fast EMA crosses above medium EMA while above slow EMA.
/// Exits when RSI becomes overbought/oversold.
/// </summary>
public class TendencyEmaRsiStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _rsiLength;
private readonly StrategyParam<int> _emaALength;
private readonly StrategyParam<int> _emaBLength;
private readonly StrategyParam<int> _emaCLength;
private readonly StrategyParam<int> _cooldownBars;
private RelativeStrengthIndex _rsi;
private ExponentialMovingAverage _emaA;
private ExponentialMovingAverage _emaB;
private ExponentialMovingAverage _emaC;
private decimal _prevEmaA;
private decimal _prevEmaB;
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 EmaALength
{
get => _emaALength.Value;
set => _emaALength.Value = value;
}
public int EmaBLength
{
get => _emaBLength.Value;
set => _emaBLength.Value = value;
}
public int EmaCLength
{
get => _emaCLength.Value;
set => _emaCLength.Value = value;
}
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
public TendencyEmaRsiStrategy()
{
_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");
_emaALength = Param(nameof(EmaALength), 10)
.SetGreaterThanZero()
.SetDisplay("EMA A Length", "Fast EMA length", "Moving Averages");
_emaBLength = Param(nameof(EmaBLength), 20)
.SetGreaterThanZero()
.SetDisplay("EMA B Length", "Medium EMA length", "Moving Averages");
_emaCLength = Param(nameof(EmaCLength), 100)
.SetGreaterThanZero()
.SetDisplay("EMA C Length", "Slow/Trend 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;
_emaA = null;
_emaB = null;
_emaC = null;
_prevEmaA = 0;
_prevEmaB = 0;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_rsi = new RelativeStrengthIndex { Length = RsiLength };
_emaA = new ExponentialMovingAverage { Length = EmaALength };
_emaB = new ExponentialMovingAverage { Length = EmaBLength };
_emaC = new ExponentialMovingAverage { Length = EmaCLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_rsi, _emaA, _emaB, _emaC, OnProcess)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _emaA);
DrawIndicator(area, _emaB);
DrawIndicator(area, _emaC);
DrawOwnTrades(area);
}
}
private void OnProcess(ICandleMessage candle, decimal rsiVal, decimal emaA, decimal emaB, decimal emaC)
{
if (candle.State != CandleStates.Finished)
return;
if (!_rsi.IsFormed || !_emaA.IsFormed || !_emaB.IsFormed || !_emaC.IsFormed)
{
_prevEmaA = emaA;
_prevEmaB = emaB;
return;
}
if (!IsFormedAndOnlineAndAllowTrading())
{
_prevEmaA = emaA;
_prevEmaB = emaB;
return;
}
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_prevEmaA = emaA;
_prevEmaB = emaB;
return;
}
if (_prevEmaA == 0 || _prevEmaB == 0)
{
_prevEmaA = emaA;
_prevEmaB = emaB;
return;
}
// EMA crossovers
var emaCrossUp = emaA > emaB && _prevEmaA <= _prevEmaB;
var emaCrossDown = emaA < emaB && _prevEmaA >= _prevEmaB;
// Buy: EMA A crosses above EMA B + EMA A > EMA C (uptrend) + bullish candle
if (emaCrossUp && emaA > emaC && candle.ClosePrice > candle.OpenPrice && Position <= 0)
{
if (Position < 0)
BuyMarket(Math.Abs(Position));
BuyMarket(Volume);
_cooldownRemaining = CooldownBars;
}
// Sell: EMA A crosses below EMA B + EMA A < EMA C (downtrend) + bearish candle
else if (emaCrossDown && emaA < emaC && candle.ClosePrice < candle.OpenPrice && Position >= 0)
{
if (Position > 0)
SellMarket(Math.Abs(Position));
SellMarket(Volume);
_cooldownRemaining = CooldownBars;
}
// Exit long: RSI overbought
else if (Position > 0 && rsiVal > 70)
{
SellMarket(Math.Abs(Position));
_cooldownRemaining = CooldownBars;
}
// Exit short: RSI oversold
else if (Position < 0 && rsiVal < 30)
{
BuyMarket(Math.Abs(Position));
_cooldownRemaining = CooldownBars;
}
_prevEmaA = emaA;
_prevEmaB = emaB;
}
}
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 tendency_ema_rsi_strategy(Strategy):
"""Tendency EMA + RSI Strategy."""
def __init__(self):
super(tendency_ema_rsi_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._ema_a_length = self.Param("EmaALength", 10) \
.SetDisplay("EMA A Length", "Fast EMA length", "Moving Averages")
self._ema_b_length = self.Param("EmaBLength", 20) \
.SetDisplay("EMA B Length", "Medium EMA length", "Moving Averages")
self._ema_c_length = self.Param("EmaCLength", 100) \
.SetDisplay("EMA C Length", "Slow/Trend EMA length", "Moving Averages")
self._cooldown_bars = self.Param("CooldownBars", 10) \
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "Risk")
self._rsi = None
self._ema_a = None
self._ema_b = None
self._ema_c = None
self._prev_ema_a = 0.0
self._prev_ema_b = 0.0
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(tendency_ema_rsi_strategy, self).OnReseted()
self._rsi = None
self._ema_a = None
self._ema_b = None
self._ema_c = None
self._prev_ema_a = 0.0
self._prev_ema_b = 0.0
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(tendency_ema_rsi_strategy, self).OnStarted2(time)
self._rsi = RelativeStrengthIndex()
self._rsi.Length = int(self._rsi_length.Value)
self._ema_a = ExponentialMovingAverage()
self._ema_a.Length = int(self._ema_a_length.Value)
self._ema_b = ExponentialMovingAverage()
self._ema_b.Length = int(self._ema_b_length.Value)
self._ema_c = ExponentialMovingAverage()
self._ema_c.Length = int(self._ema_c_length.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._rsi, self._ema_a, self._ema_b, self._ema_c, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._ema_a)
self.DrawIndicator(area, self._ema_b)
self.DrawIndicator(area, self._ema_c)
self.DrawOwnTrades(area)
def _on_process(self, candle, rsi_val, ema_a_val, ema_b_val, ema_c_val):
if candle.State != CandleStates.Finished:
return
if not self._rsi.IsFormed or not self._ema_a.IsFormed or not self._ema_b.IsFormed or not self._ema_c.IsFormed:
self._prev_ema_a = float(ema_a_val)
self._prev_ema_b = float(ema_b_val)
return
if not self.IsFormedAndOnlineAndAllowTrading():
self._prev_ema_a = float(ema_a_val)
self._prev_ema_b = float(ema_b_val)
return
ema_a = float(ema_a_val)
ema_b = float(ema_b_val)
ema_c = float(ema_c_val)
rsi = float(rsi_val)
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
self._prev_ema_a = ema_a
self._prev_ema_b = ema_b
return
if self._prev_ema_a == 0.0 or self._prev_ema_b == 0.0:
self._prev_ema_a = ema_a
self._prev_ema_b = ema_b
return
close = float(candle.ClosePrice)
open_price = float(candle.OpenPrice)
cooldown = int(self._cooldown_bars.Value)
ema_cross_up = ema_a > ema_b and self._prev_ema_a <= self._prev_ema_b
ema_cross_down = ema_a < ema_b and self._prev_ema_a >= self._prev_ema_b
if ema_cross_up and ema_a > ema_c and close > open_price and self.Position <= 0:
if self.Position < 0:
self.BuyMarket(Math.Abs(self.Position))
self.BuyMarket(self.Volume)
self._cooldown_remaining = cooldown
elif ema_cross_down and ema_a < ema_c and close < open_price 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 > 70:
self.SellMarket(Math.Abs(self.Position))
self._cooldown_remaining = cooldown
elif self.Position < 0 and rsi < 30:
self.BuyMarket(Math.Abs(self.Position))
self._cooldown_remaining = cooldown
self._prev_ema_a = ema_a
self._prev_ema_b = ema_b
def CreateClone(self):
return tendency_ema_rsi_strategy()