Arsi Vwap Atr 策略
自适应 RSI 策略,超买和超卖水平根据 ATR 或偏离 VWAP 动态调整。当 RSI 穿越这些自适应水平时开仓,当 RSI 回到中间区域时平仓。
细节
- 入场条件:
- 多头:
RSI上穿自适应超卖线 - 空头:
RSI下穿自适应超买线
- 多头:
- 多空:双向
- 出场条件:
- RSI 再次穿越 50 或相反的自适应线
- 止损:基于百分比,使用
StopLossPercent和RiskReward - 默认参数:
RsiLength= 14BaseK= 1mRiskPercent= 2mStopLossPercent= 2.5mRiskReward= 2mSourceOb= ATRSourceOs= ATRAtrLengthOb= 14AtrLengthOs= 14ObMultiplier= 10mOsMultiplier= 10mCandleType= TimeSpan.FromMinutes(5).TimeFrame()
- 过滤器:
- 类别:动量
- 方向:双向
- 指标:RSI、ATR、VWAP
- 止损:是
- 复杂度:中等
- 时间框架:日内
- 季节性:否
- 神经网络:否
- 背离:否
- 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>
/// Adaptive RSI strategy with dynamic OB/OS levels.
/// Uses RSI crossover of overbought/oversold thresholds with EMA trend filter.
/// </summary>
public class ArsiVwapAtrStrategy : Strategy
{
private readonly StrategyParam<int> _rsiLength;
private readonly StrategyParam<int> _emaLength;
private readonly StrategyParam<decimal> _obLevel;
private readonly StrategyParam<decimal> _osLevel;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevRsi;
private int _barIndex;
private int _lastTradeBar;
/// <summary>
/// RSI length.
/// </summary>
public int RsiLength
{
get => _rsiLength.Value;
set => _rsiLength.Value = value;
}
/// <summary>
/// EMA trend filter length.
/// </summary>
public int EmaLength
{
get => _emaLength.Value;
set => _emaLength.Value = value;
}
/// <summary>
/// RSI overbought level.
/// </summary>
public decimal ObLevel
{
get => _obLevel.Value;
set => _obLevel.Value = value;
}
/// <summary>
/// RSI oversold level.
/// </summary>
public decimal OsLevel
{
get => _osLevel.Value;
set => _osLevel.Value = value;
}
/// <summary>
/// Cooldown bars between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public ArsiVwapAtrStrategy()
{
_rsiLength = Param(nameof(RsiLength), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Length", "RSI calculation period", "Indicators");
_emaLength = Param(nameof(EmaLength), 50)
.SetGreaterThanZero()
.SetDisplay("EMA Length", "EMA trend filter period", "Indicators");
_obLevel = Param(nameof(ObLevel), 55m)
.SetDisplay("OB Level", "Overbought RSI level", "Indicators");
_osLevel = Param(nameof(OsLevel), 45m)
.SetDisplay("OS Level", "Oversold RSI level", "Indicators");
_cooldownBars = Param(nameof(CooldownBars), 300)
.SetDisplay("Cooldown Bars", "Bars between trades", "Trading");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).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();
_prevRsi = 0;
_barIndex = 0;
_lastTradeBar = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var rsi = new RelativeStrengthIndex { Length = RsiLength };
var ema = new ExponentialMovingAverage { Length = EmaLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(rsi, ema, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ema);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue, decimal emaValue)
{
if (candle.State != CandleStates.Finished)
return;
_barIndex++;
var cooldownOk = _barIndex - _lastTradeBar > CooldownBars;
// RSI crosses above OS level from below = buy signal
var longSignal = _prevRsi > 0 && _prevRsi < OsLevel && rsiValue >= OsLevel;
// RSI crosses below OB level from above = sell signal
var shortSignal = _prevRsi > 0 && _prevRsi > ObLevel && rsiValue <= ObLevel;
if (longSignal && Position <= 0 && cooldownOk)
{
BuyMarket();
_lastTradeBar = _barIndex;
}
else if (shortSignal && Position >= 0 && cooldownOk)
{
SellMarket();
_lastTradeBar = _barIndex;
}
_prevRsi = rsiValue;
}
}
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 CandleStates
from StockSharp.Algo.Indicators import RelativeStrengthIndex, ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
from datatype_extensions import *
class arsi_vwap_atr_strategy(Strategy):
"""
Adaptive RSI strategy with dynamic OB/OS levels.
Uses RSI crossover of overbought/oversold thresholds with EMA trend filter.
"""
def __init__(self):
super(arsi_vwap_atr_strategy, self).__init__()
self._rsi_length = self.Param("RsiLength", 14) \
.SetGreaterThanZero() \
.SetDisplay("RSI Length", "RSI calculation period", "Indicators")
self._ema_length = self.Param("EmaLength", 50) \
.SetGreaterThanZero() \
.SetDisplay("EMA Length", "EMA trend filter period", "Indicators")
self._ob_level = self.Param("ObLevel", 55.0) \
.SetDisplay("OB Level", "Overbought RSI level", "Indicators")
self._os_level = self.Param("OsLevel", 45.0) \
.SetDisplay("OS Level", "Oversold RSI level", "Indicators")
self._cooldown_bars = self.Param("CooldownBars", 300) \
.SetDisplay("Cooldown Bars", "Bars between trades", "Trading")
self._candle_type = self.Param("CandleType", tf(1)) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._prev_rsi = 0.0
self._bar_index = 0
self._last_trade_bar = 0
@property
def RsiLength(self): return self._rsi_length.Value
@RsiLength.setter
def RsiLength(self, v): self._rsi_length.Value = v
@property
def EmaLength(self): return self._ema_length.Value
@EmaLength.setter
def EmaLength(self, v): self._ema_length.Value = v
@property
def ObLevel(self): return self._ob_level.Value
@ObLevel.setter
def ObLevel(self, v): self._ob_level.Value = v
@property
def OsLevel(self): return self._os_level.Value
@OsLevel.setter
def OsLevel(self, v): self._os_level.Value = v
@property
def CooldownBars(self): return self._cooldown_bars.Value
@CooldownBars.setter
def CooldownBars(self, v): self._cooldown_bars.Value = v
@property
def CandleType(self): return self._candle_type.Value
@CandleType.setter
def CandleType(self, v): self._candle_type.Value = v
def OnReseted(self):
super(arsi_vwap_atr_strategy, self).OnReseted()
self._prev_rsi = 0.0
self._bar_index = 0
self._last_trade_bar = 0
def OnStarted2(self, time):
super(arsi_vwap_atr_strategy, self).OnStarted2(time)
rsi = RelativeStrengthIndex()
rsi.Length = self.RsiLength
ema = ExponentialMovingAverage()
ema.Length = self.EmaLength
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(rsi, ema, self.ProcessCandle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ema)
self.DrawOwnTrades(area)
def ProcessCandle(self, candle, rsi_value, ema_value):
if candle.State != CandleStates.Finished:
return
self._bar_index += 1
cooldown_ok = self._bar_index - self._last_trade_bar > self.CooldownBars
long_signal = self._prev_rsi > 0 and self._prev_rsi < self.OsLevel and rsi_value >= self.OsLevel
short_signal = self._prev_rsi > 0 and self._prev_rsi > self.ObLevel and rsi_value <= self.ObLevel
if long_signal and self.Position <= 0 and cooldown_ok:
self.BuyMarket()
self._last_trade_bar = self._bar_index
elif short_signal and self.Position >= 0 and cooldown_ok:
self.SellMarket()
self._last_trade_bar = self._bar_index
self._prev_rsi = rsi_value
def CreateClone(self):
"""!! REQUIRED!! Creates a new instance of the strategy."""
return arsi_vwap_atr_strategy()