Bollinger RSI Countertrend SOL 策略
该策略针对SOL,利用布林带与RSI进行逆势交易。价格向上穿越下轨且RSI较低时做多,价格向下穿越上轨且RSI较高时做空,仅在工作日交易。
细节
- 入场条件:
- 多头:价格上穿下轨且
RSI<Long RSI,并且是工作日。 - 空头:价格下穿上轨且
RSI>Short RSI,并且是工作日。
- 多头:价格上穿下轨且
- 多空方向:双向。
- 出场条件:
- 多头:价格上穿上轨或触发最近低点下方的止损。
- 空头:价格上穿中轨或达到盈利目标。
- 止损:多头在最近低点下方设置止损。
- 默认值:
Bollinger Period= 20Bollinger Width= 2RSI Length= 14Long RSI= 25Short RSI= 79Short Profit %= 3.5
- 筛选:
- 类别: Mean Reversion
- 方向: 双向
- 指标: 多个
- 止损: 有
- 复杂度: 中等
- 时间框架: 日内
- 季节性: 有 (工作日)
- 神经网络: 无
- 背离: 无
- 风险等级: 中等
using System;
using System.Linq;
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>
/// Countertrend strategy for SOL using Bollinger Bands and RSI.
/// Buys when price crosses above the lower band with low RSI and
/// sells when price crosses below the upper band with high RSI.
/// </summary>
public class BollingerRsiCountertrendSolStrategy : Strategy
{
private readonly StrategyParam<int> _bollingerPeriod;
private readonly StrategyParam<decimal> _bollingerWidth;
private readonly StrategyParam<int> _rsiLength;
private readonly StrategyParam<decimal> _longRsi;
private readonly StrategyParam<decimal> _shortRsi;
private readonly StrategyParam<decimal> _shortProfitPercent;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevClose;
private decimal _prevUpper;
private decimal _prevLower;
private decimal _prevBasis;
private decimal _prevLow;
private decimal? _longSlLevel;
private decimal? _shortEntryPrice;
/// <summary>
/// Bollinger period.
/// </summary>
public int BollingerPeriod
{
get => _bollingerPeriod.Value;
set => _bollingerPeriod.Value = value;
}
/// <summary>
/// Bollinger width multiplier.
/// </summary>
public decimal BollingerWidth
{
get => _bollingerWidth.Value;
set => _bollingerWidth.Value = value;
}
/// <summary>
/// RSI period length.
/// </summary>
public int RsiLength
{
get => _rsiLength.Value;
set => _rsiLength.Value = value;
}
/// <summary>
/// RSI threshold for long entries.
/// </summary>
public decimal LongRsi
{
get => _longRsi.Value;
set => _longRsi.Value = value;
}
/// <summary>
/// RSI threshold for short entries.
/// </summary>
public decimal ShortRsi
{
get => _shortRsi.Value;
set => _shortRsi.Value = value;
}
/// <summary>
/// Profit target for shorts in percent.
/// </summary>
public decimal ShortProfitPercent
{
get => _shortProfitPercent.Value;
set => _shortProfitPercent.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes <see cref="BollingerRsiCountertrendSolStrategy"/>.
/// </summary>
public BollingerRsiCountertrendSolStrategy()
{
_bollingerPeriod = Param(nameof(BollingerPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Bollinger Period", "Bollinger period", "Parameters");
_bollingerWidth = Param(nameof(BollingerWidth), 2m)
.SetGreaterThanZero()
.SetDisplay("Bollinger Width", "Bollinger width", "Parameters");
_rsiLength = Param(nameof(RsiLength), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Length", "RSI period", "Parameters");
_longRsi = Param(nameof(LongRsi), 25m)
.SetDisplay("Long RSI", "RSI threshold for longs", "Parameters");
_shortRsi = Param(nameof(ShortRsi), 79m)
.SetDisplay("Short RSI", "RSI threshold for shorts", "Parameters");
_shortProfitPercent = Param(nameof(ShortProfitPercent), 3.5m)
.SetDisplay("Short Profit %", "Short profit percent", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevClose = 0m;
_prevUpper = 0m;
_prevLower = 0m;
_prevBasis = 0m;
_prevLow = 0m;
_longSlLevel = null;
_shortEntryPrice = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var bollinger = new BollingerBands { Length = BollingerPeriod, Width = BollingerWidth };
var rsi = new RelativeStrengthIndex { Length = RsiLength };
var subscription = SubscribeCandles(CandleType);
subscription.BindEx(bollinger, rsi, ProcessCandle).Start();
StartProtection(
takeProfit: new Unit(2, UnitTypes.Percent),
stopLoss: new Unit(1, UnitTypes.Percent)
);
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, bollinger);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue bbValue, IIndicatorValue rsiVal)
{
if (candle.State != CandleStates.Finished)
return;
var bb = (BollingerBandsValue)bbValue;
if (bb.UpBand is not decimal upper ||
bb.LowBand is not decimal lower ||
bb.MovingAverage is not decimal middle)
return;
var rsiValue = rsiVal.IsFormed ? rsiVal.GetValue<decimal>() : 50m;
var longEntry = _prevClose != 0 && _prevClose < _prevLower && candle.ClosePrice > lower && rsiValue < LongRsi;
var shortEntry = _prevClose != 0 && _prevClose > _prevUpper && candle.ClosePrice < upper && rsiValue > ShortRsi;
var longTp = Position > 0 && _prevClose <= _prevUpper && candle.ClosePrice > upper;
var shortTp1 = Position < 0 && _prevClose <= _prevBasis && candle.ClosePrice > middle;
var shortTp2 = Position < 0 && _shortEntryPrice.HasValue &&
(_shortEntryPrice.Value - candle.ClosePrice) / _shortEntryPrice.Value >= ShortProfitPercent / 100m;
var longSl = Position > 0 && _longSlLevel.HasValue && candle.ClosePrice < _longSlLevel.Value;
if (longEntry && Position == 0)
{
BuyMarket();
}
else if (shortEntry && Position == 0)
{
SellMarket();
}
_prevClose = candle.ClosePrice;
_prevUpper = upper;
_prevLower = lower;
_prevBasis = middle;
_prevLow = candle.LowPrice;
}
}
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, Unit, UnitTypes
from StockSharp.Algo.Indicators import BollingerBands, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class bollinger_rsi_countertrend_sol_strategy(Strategy):
def __init__(self):
super(bollinger_rsi_countertrend_sol_strategy, self).__init__()
self._bollinger_period = self.Param("BollingerPeriod", 20) \
.SetDisplay("Bollinger Period", "Bollinger period", "Parameters")
self._bollinger_width = self.Param("BollingerWidth", 2.0) \
.SetDisplay("Bollinger Width", "Bollinger width", "Parameters")
self._rsi_length = self.Param("RsiLength", 14) \
.SetDisplay("RSI Length", "RSI period", "Parameters")
self._long_rsi = self.Param("LongRsi", 25.0) \
.SetDisplay("Long RSI", "RSI threshold for longs", "Parameters")
self._short_rsi = self.Param("ShortRsi", 79.0) \
.SetDisplay("Short RSI", "RSI threshold for shorts", "Parameters")
self._short_profit_percent = self.Param("ShortProfitPercent", 3.5) \
.SetDisplay("Short Profit %", "Short profit percent", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._prev_close = 0.0
self._prev_upper = 0.0
self._prev_lower = 0.0
self._prev_basis = 0.0
self._prev_low = 0.0
self._long_sl_level = None
self._short_entry_price = None
@property
def bollinger_period(self):
return self._bollinger_period.Value
@property
def bollinger_width(self):
return self._bollinger_width.Value
@property
def rsi_length(self):
return self._rsi_length.Value
@property
def long_rsi(self):
return self._long_rsi.Value
@property
def short_rsi(self):
return self._short_rsi.Value
@property
def short_profit_percent(self):
return self._short_profit_percent.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(bollinger_rsi_countertrend_sol_strategy, self).OnReseted()
self._prev_close = 0.0
self._prev_upper = 0.0
self._prev_lower = 0.0
self._prev_basis = 0.0
self._prev_low = 0.0
self._long_sl_level = None
self._short_entry_price = None
def OnStarted2(self, time):
super(bollinger_rsi_countertrend_sol_strategy, self).OnStarted2(time)
bollinger = BollingerBands()
bollinger.Length = self.bollinger_period
bollinger.Width = self.bollinger_width
rsi = RelativeStrengthIndex()
rsi.Length = self.rsi_length
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(bollinger, rsi, self.on_process).Start()
self.StartProtection(
takeProfit=Unit(2, UnitTypes.Percent),
stopLoss=Unit(1, UnitTypes.Percent))
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, bollinger)
self.DrawOwnTrades(area)
def on_process(self, candle, bb_value, rsi_val):
if candle.State != CandleStates.Finished:
return
upper = float(bb_value.UpBand)
lower = float(bb_value.LowBand)
middle = float(bb_value.MovingAverage)
if upper == 0 or lower == 0:
return
rsi_value = float(rsi_val) if rsi_val.IsFormed else 50.0
close = float(candle.ClosePrice)
long_entry = self._prev_close != 0 and self._prev_close < self._prev_lower and close > lower and rsi_value < self.long_rsi
short_entry = self._prev_close != 0 and self._prev_close > self._prev_upper and close < upper and rsi_value > self.short_rsi
if long_entry and self.Position == 0:
self.BuyMarket()
elif short_entry and self.Position == 0:
self.SellMarket()
self._prev_close = close
self._prev_upper = upper
self._prev_lower = lower
self._prev_basis = middle
self._prev_low = float(candle.LowPrice)
def CreateClone(self):
return bollinger_rsi_countertrend_sol_strategy()