RGT RSI 布林带策略
该策略结合 RSI 指标和布林带来寻找均值回归机会。当 RSI 处于超卖区且价格跌破下轨时开多单;当 RSI 处于超买区且价格突破上轨时开空单。入场后先设置初始止损,当达到最低盈利后启动跟踪止损。
跟踪止损在价格朝有利方向移动时以固定距离跟随,从而锁定利润。当价格触及跟踪止损时平仓。
细节
- 入场条件:RSI 低于
RsiLow且价格低于下轨做多;RSI 高于RsiHigh且价格高于上轨做空。 - 多/空:双向。
- 出场条件:触发跟踪止损。
- 止损:初始止损和跟踪止损。
- 默认值:
RsiPeriod= 8RsiHigh= 90RsiLow= 10StopLossPips= 70TrailingStopPips= 35MinProfitPips= 30Volume= 1CandleType= TimeSpan.FromMinutes(5)
- 筛选:
- 分类:均值回归
- 方向:双向
- 指标:RSI,布林带
- 止损:是
- 复杂度:初级
- 周期:日内
- 季节性:无
- 神经网络:无
- 背离:无
- 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>
/// RSI with Bollinger Bands strategy.
/// </summary>
public class RgtRsiBollingerStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<int> _rsiHigh;
private readonly StrategyParam<int> _rsiLow;
private readonly StrategyParam<decimal> _stopLoss;
private readonly StrategyParam<decimal> _trailingStop;
private readonly StrategyParam<decimal> _minProfit;
private readonly StrategyParam<DataType> _candleType;
private decimal _entryPrice;
private decimal _stopPrice;
private bool _isLong;
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public int RsiHigh { get => _rsiHigh.Value; set => _rsiHigh.Value = value; }
public int RsiLow { get => _rsiLow.Value; set => _rsiLow.Value = value; }
public decimal StopLoss { get => _stopLoss.Value; set => _stopLoss.Value = value; }
public decimal TrailingStop { get => _trailingStop.Value; set => _trailingStop.Value = value; }
public decimal MinProfit { get => _minProfit.Value; set => _minProfit.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public RgtRsiBollingerStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 8)
.SetDisplay("RSI Period", "RSI calculation period", "Indicator");
_rsiHigh = Param(nameof(RsiHigh), 55)
.SetDisplay("RSI High", "Overbought RSI level", "Indicator");
_rsiLow = Param(nameof(RsiLow), 45)
.SetDisplay("RSI Low", "Oversold RSI level", "Indicator");
_stopLoss = Param(nameof(StopLoss), 500m)
.SetGreaterThanZero()
.SetDisplay("Stop Loss", "Stop loss in price units", "Risk");
_trailingStop = Param(nameof(TrailingStop), 300m)
.SetGreaterThanZero()
.SetDisplay("Trailing Stop", "Trailing stop distance", "Risk");
_minProfit = Param(nameof(MinProfit), 200m)
.SetGreaterThanZero()
.SetDisplay("Min Profit", "Minimum profit before trailing", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_entryPrice = 0;
_stopPrice = 0;
_isLong = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var bb = new BollingerBands { Length = 20, Width = 2m };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(new IIndicator[] { rsi, bb }, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue[] values)
{
if (candle.State != CandleStates.Finished)
return;
if (values[0].IsEmpty || values[1].IsEmpty)
return;
var rsiValue = values[0].GetValue<decimal>();
var bbVal = (BollingerBandsValue)values[1];
if (bbVal.UpBand is not decimal upper ||
bbVal.LowBand is not decimal lower)
return;
if (Position == 0)
{
if (rsiValue < RsiLow && candle.ClosePrice < lower)
{
BuyMarket();
_entryPrice = candle.ClosePrice;
_stopPrice = _entryPrice - StopLoss;
_isLong = true;
}
else if (rsiValue > RsiHigh && candle.ClosePrice > upper)
{
SellMarket();
_entryPrice = candle.ClosePrice;
_stopPrice = _entryPrice + StopLoss;
_isLong = false;
}
}
else if (_isLong && Position > 0)
{
var profit = candle.ClosePrice - _entryPrice;
if (profit > MinProfit)
{
var newStop = candle.ClosePrice - TrailingStop;
if (newStop > _stopPrice)
_stopPrice = newStop;
}
if (candle.ClosePrice <= _stopPrice)
SellMarket();
}
else if (!_isLong && Position < 0)
{
var profit = _entryPrice - candle.ClosePrice;
if (profit > MinProfit)
{
var newStop = candle.ClosePrice + TrailingStop;
if (newStop < _stopPrice)
_stopPrice = newStop;
}
if (candle.ClosePrice >= _stopPrice)
BuyMarket();
}
}
}
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 System import Array
from StockSharp.Algo.Indicators import BollingerBands, RelativeStrengthIndex, IIndicator, IndicatorHelper
from StockSharp.Algo.Strategies import Strategy
class rgt_rsi_bollinger_strategy(Strategy):
def __init__(self):
super(rgt_rsi_bollinger_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 8) \
.SetDisplay("RSI Period", "RSI calculation period", "Indicator")
self._rsi_high = self.Param("RsiHigh", 55) \
.SetDisplay("RSI High", "Overbought RSI level", "Indicator")
self._rsi_low = self.Param("RsiLow", 45) \
.SetDisplay("RSI Low", "Oversold RSI level", "Indicator")
self._stop_loss = self.Param("StopLoss", 500.0) \
.SetDisplay("Stop Loss", "Stop loss in price units", "Risk")
self._trailing_stop = self.Param("TrailingStop", 300.0) \
.SetDisplay("Trailing Stop", "Trailing stop distance", "Risk")
self._min_profit = self.Param("MinProfit", 200.0) \
.SetDisplay("Min Profit", "Minimum profit before trailing", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._entry_price = 0.0
self._stop_price = 0.0
self._is_long = False
@property
def rsi_period(self):
return self._rsi_period.Value
@property
def rsi_high(self):
return self._rsi_high.Value
@property
def rsi_low(self):
return self._rsi_low.Value
@property
def stop_loss(self):
return self._stop_loss.Value
@property
def trailing_stop(self):
return self._trailing_stop.Value
@property
def min_profit(self):
return self._min_profit.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(rgt_rsi_bollinger_strategy, self).OnReseted()
self._entry_price = 0.0
self._stop_price = 0.0
self._is_long = False
def OnStarted2(self, time):
super(rgt_rsi_bollinger_strategy, self).OnStarted2(time)
rsi = RelativeStrengthIndex()
rsi.Length = self.rsi_period
bb = BollingerBands()
bb.Length = 20
bb.Width = 2.0
indicators = Array[IIndicator]([rsi, bb])
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(indicators, self.on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, bb)
self.DrawOwnTrades(area)
def on_process(self, candle, values):
if candle.State != CandleStates.Finished:
return
if values[0].IsEmpty or values[1].IsEmpty:
return
rsi_val = IndicatorHelper.ToDecimal(values[0])
bb_val = values[1]
up = bb_val.UpBand
lo = bb_val.LowBand
if up is None or lo is None:
return
close = candle.ClosePrice
if self.Position == 0:
if rsi_val < self.rsi_low and close < lo:
self.BuyMarket()
self._entry_price = close
self._stop_price = self._entry_price - self.stop_loss
self._is_long = True
elif rsi_val > self.rsi_high and close > up:
self.SellMarket()
self._entry_price = close
self._stop_price = self._entry_price + self.stop_loss
self._is_long = False
elif self._is_long and self.Position > 0:
profit = close - self._entry_price
if profit > self.min_profit:
new_stop = close - self.trailing_stop
if new_stop > self._stop_price:
self._stop_price = new_stop
if close <= self._stop_price:
self.SellMarket()
elif not self._is_long and self.Position < 0:
profit = self._entry_price - close
if profit > self.min_profit:
new_stop = close + self.trailing_stop
if new_stop < self._stop_price:
self._stop_price = new_stop
if close >= self._stop_price:
self.BuyMarket()
def CreateClone(self):
return rgt_rsi_bollinger_strategy()