RGT EA RSI 策略
该策略结合相对强弱指数 (RSI) 和 布林带,用于捕捉极端价格波动并交易潜在反转。当 RSI 进入超买或超卖区域且价格突破布林带边界时开仓。固定止损和跟踪止损用于控制风险并锁定利润。
工作原理
- 对传入的K线计算 RSI 和布林带。
- 当 RSI 低于超卖水平且收盘价低于下轨时 买入。
- 当 RSI 高于超买水平且收盘价高于上轨时 卖出。
- 入场后设置固定止损,当达到最小盈利后,止损开始跟随价格移动。
参数
| 名称 | 说明 |
|---|---|
Volume |
下单数量。 |
RsiPeriod |
RSI 计算周期。 |
RsiHigh |
RSI 超买阈值。 |
RsiLow |
RSI 超卖阈值。 |
StopLoss |
初始止损距离(价格单位)。 |
TrailingStop |
跟踪止损距离(价格单位)。 |
MinProfit |
启动跟踪止损所需的最小盈利。 |
CandleType |
用于计算的K线类型。 |
备注
- 适用于 StockSharp 支持的任何交易品种和周期。
- 使用市价单进行开仓和平仓。
- 跟踪止损在每根完成的K线上更新。
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 and Bollinger Bands breakout with trailing stop.
/// </summary>
public class RgtEaRsiStrategy : 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;
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 RgtEaRsiStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 8)
.SetDisplay("RSI Period", "RSI calculation period", "Indicator");
_rsiHigh = Param(nameof(RsiHigh), 55)
.SetDisplay("RSI High", "Overbought threshold", "Indicator");
_rsiLow = Param(nameof(RsiLow), 45)
.SetDisplay("RSI Low", "Oversold threshold", "Indicator");
_stopLoss = Param(nameof(StopLoss), 500m)
.SetGreaterThanZero()
.SetDisplay("Stop Loss", "Stop loss size 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;
}
/// <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 rsiVal = 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 (rsiVal < RsiLow && candle.ClosePrice < lower)
{
BuyMarket();
_entryPrice = candle.ClosePrice;
_stopPrice = _entryPrice - StopLoss;
return;
}
if (rsiVal > RsiHigh && candle.ClosePrice > upper)
{
SellMarket();
_entryPrice = candle.ClosePrice;
_stopPrice = _entryPrice + StopLoss;
return;
}
}
if (Position > 0)
{
var profit = candle.ClosePrice - _entryPrice;
var newStop = candle.ClosePrice - TrailingStop;
if (profit > MinProfit && newStop > _stopPrice)
_stopPrice = newStop;
if (candle.ClosePrice <= _stopPrice)
SellMarket();
}
else if (Position < 0)
{
var profit = _entryPrice - candle.ClosePrice;
var newStop = candle.ClosePrice + TrailingStop;
if (profit > MinProfit && 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_ea_rsi_strategy(Strategy):
def __init__(self):
super(rgt_ea_rsi_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 threshold", "Indicator")
self._rsi_low = self.Param("RsiLow", 45) \
.SetDisplay("RSI Low", "Oversold threshold", "Indicator")
self._stop_loss = self.Param("StopLoss", 500.0) \
.SetDisplay("Stop Loss", "Stop loss size 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
@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_ea_rsi_strategy, self).OnReseted()
self._entry_price = 0.0
self._stop_price = 0.0
def OnStarted2(self, time):
super(rgt_ea_rsi_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
return
if rsi_val > self.rsi_high and close > up:
self.SellMarket()
self._entry_price = close
self._stop_price = self._entry_price + self.stop_loss
return
if self.Position > 0:
profit = close - self._entry_price
new_stop = close - self.trailing_stop
if profit > self.min_profit and new_stop > self._stop_price:
self._stop_price = new_stop
if close <= self._stop_price:
self.SellMarket()
elif self.Position < 0:
profit = self._entry_price - close
new_stop = close + self.trailing_stop
if profit > self.min_profit and new_stop < self._stop_price:
self._stop_price = new_stop
if close >= self._stop_price:
self.BuyMarket()
def CreateClone(self):
return rgt_ea_rsi_strategy()