RSI + 1200 策略
RSI + 1200 策略 通过结合相对强弱指数与高时间框的趋势过滤器来 捕捉趋势反转。策略使用 14 周期 RSI,并在 120 分钟的多时间框数据上 计算指数移动平均线。只有当动量与趋势方向一致时才会触发交易信号。
在对流动性较高的加密货币对进行回测时,该方法在持续的趋势行情中 表现最佳。若市场震荡,容易产生假信号,因此策略在 EMA 周围保留 1% 的价格缓冲,并使用百分比止损来控制风险。
当 RSI 从超卖区域向上穿越并且价格位于高时间框 EMA 上方 1% 以内
时买入;做空条件则相反。仓位在 RSI 到达相反极值时平仓,同时在
入场价的 stopLossPercent% 处设置保护性止损。
细节
- 入场条件
- 做多:RSI 上穿
rsiOversold且收盘价 ≤ EMA * 1.01。 - 做空:RSI 下穿
rsiOverbought且收盘价 ≥ EMA * 0.99。
- 做多:RSI 上穿
- 出场条件
- 做多:RSI 高于
rsiOverbought。 - 做空:RSI 低于
rsiOversold。
- 做多:RSI 高于
- 止损:
stopLossPercent百分比止损。 - 默认参数
rsiLength= 14rsiOverbought= 72rsiOversold= 28emaLength= 150mtfTimeframe= 120 分钟stopLossPercent= 0.10 (10%)
- 过滤器
- 类型:趋势跟随
- 方向:双向
- 指标:RSI, EMA
- 止损:是
- 复杂度:中等
- 时间框:日内/多时间框
- 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 + 1200 Strategy.
/// Uses RSI crossover signals with EMA trend filter.
/// Buys when RSI crosses above oversold level while price is above EMA.
/// Sells when RSI crosses below overbought level while price is below EMA.
/// </summary>
public class RsiPlus1200Strategy : 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> _emaLength;
private readonly StrategyParam<int> _cooldownBars;
private RelativeStrengthIndex _rsi;
private ExponentialMovingAverage _ema;
private decimal _prevRsi;
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 EmaLength
{
get => _emaLength.Value;
set => _emaLength.Value = value;
}
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
public RsiPlus1200Strategy()
{
_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");
_emaLength = Param(nameof(EmaLength), 100)
.SetGreaterThanZero()
.SetDisplay("EMA Length", "EMA period for trend filter", "Moving Average");
_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;
_ema = null;
_prevRsi = 0;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_rsi = new RelativeStrengthIndex { Length = RsiLength };
_ema = new ExponentialMovingAverage { Length = EmaLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_rsi, _ema, OnProcess)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _ema);
DrawOwnTrades(area);
}
}
private void OnProcess(ICandleMessage candle, decimal rsiVal, decimal emaVal)
{
if (candle.State != CandleStates.Finished)
return;
if (!_rsi.IsFormed || !_ema.IsFormed)
{
_prevRsi = rsiVal;
return;
}
if (!IsFormedAndOnlineAndAllowTrading())
{
_prevRsi = rsiVal;
return;
}
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_prevRsi = rsiVal;
return;
}
if (_prevRsi == 0)
{
_prevRsi = rsiVal;
return;
}
// RSI crossovers
var rsiCrossUpOversold = rsiVal > RsiOversold && _prevRsi <= RsiOversold;
var rsiCrossDownOverbought = rsiVal < RsiOverbought && _prevRsi >= RsiOverbought;
// Buy: RSI crosses above oversold + price above EMA (uptrend)
if (rsiCrossUpOversold && candle.ClosePrice > emaVal && Position <= 0)
{
if (Position < 0)
BuyMarket(Math.Abs(Position));
BuyMarket(Volume);
_cooldownRemaining = CooldownBars;
}
// Sell: RSI crosses below overbought + price below EMA (downtrend)
else if (rsiCrossDownOverbought && candle.ClosePrice < emaVal && 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;
}
_prevRsi = rsiVal;
}
}
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_plus_1200_strategy(Strategy):
"""RSI + 1200 Strategy."""
def __init__(self):
super(rsi_plus_1200_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._ema_length = self.Param("EmaLength", 100) \
.SetDisplay("EMA Length", "EMA period for trend filter", "Moving Average")
self._cooldown_bars = self.Param("CooldownBars", 10) \
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "Risk")
self._rsi = None
self._ema = None
self._prev_rsi = 0.0
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(rsi_plus_1200_strategy, self).OnReseted()
self._rsi = None
self._ema = None
self._prev_rsi = 0.0
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(rsi_plus_1200_strategy, self).OnStarted2(time)
self._rsi = RelativeStrengthIndex()
self._rsi.Length = int(self._rsi_length.Value)
self._ema = ExponentialMovingAverage()
self._ema.Length = int(self._ema_length.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._rsi, self._ema, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._ema)
self.DrawOwnTrades(area)
def _on_process(self, candle, rsi_val, ema_val):
if candle.State != CandleStates.Finished:
return
if not self._rsi.IsFormed or not self._ema.IsFormed:
self._prev_rsi = float(rsi_val)
return
if not self.IsFormedAndOnlineAndAllowTrading():
self._prev_rsi = float(rsi_val)
return
rsi = float(rsi_val)
ema = float(ema_val)
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
self._prev_rsi = rsi
return
if self._prev_rsi == 0.0:
self._prev_rsi = rsi
return
rsi_ob = int(self._rsi_overbought.Value)
rsi_os = int(self._rsi_oversold.Value)
cooldown = int(self._cooldown_bars.Value)
close = float(candle.ClosePrice)
rsi_cross_up_oversold = rsi > rsi_os and self._prev_rsi <= rsi_os
rsi_cross_down_overbought = rsi < rsi_ob and self._prev_rsi >= rsi_ob
if rsi_cross_up_oversold and close > ema and self.Position <= 0:
if self.Position < 0:
self.BuyMarket(Math.Abs(self.Position))
self.BuyMarket(self.Volume)
self._cooldown_remaining = cooldown
elif rsi_cross_down_overbought and close < ema 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
self._prev_rsi = rsi
def CreateClone(self):
return rsi_plus_1200_strategy()