MCOTs Intuition 策略
该策略基于 RSI 动量与其标准差的关系。当上升动量强但开始减弱时买入,动量反向且减弱时做空。使用固定的获利和止损目标(以 ticks 表示)。
细节
- 入场条件:
- 多头:momentum > stdDev * multiplier 且 momentum < previousMomentum * exhaustionMultiplier
- 空头:momentum < -stdDev * multiplier 且 momentum > previousMomentum * exhaustionMultiplier
- 多空方向:皆可
- 出场条件:
- 固定的获利与止损 ticks
- 止损:是
- 默认值:
RsiPeriod= 14StdDevMultiplier= 1mExhaustionMultiplier= 1mProfitTargetTicks= 40StopLossTicks= 160CandleType= TimeSpan.FromMinutes(5).TimeFrame()
- 筛选:
- 分类:反转
- 方向:双向
- 指标:RSI、StandardDeviation
- 止损:是
- 复杂度:基础
- 时间框架:中期
- 季节性:否
- 神经网络:否
- 背离:否
- 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;
public class McotsIntuitionStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _momentumThreshold;
private readonly StrategyParam<int> _signalCooldownBars;
private readonly StrategyParam<DataType> _candleType;
private RelativeStrengthIndex _rsi;
private decimal _prevRsi;
private decimal _prevMomentum;
private decimal _takeProfitPrice;
private decimal _stopLossPrice;
private bool _hasPrev;
private int _barsFromSignal;
private int _barIndex;
private int _entryBar;
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public decimal MomentumThreshold { get => _momentumThreshold.Value; set => _momentumThreshold.Value = value; }
public int SignalCooldownBars { get => _signalCooldownBars.Value; set => _signalCooldownBars.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public McotsIntuitionStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "RSI calculation period", "General");
_momentumThreshold = Param(nameof(MomentumThreshold), 2m)
.SetGreaterThanZero()
.SetDisplay("Momentum Threshold", "Minimum RSI momentum", "General");
_signalCooldownBars = Param(nameof(SignalCooldownBars), 30)
.SetGreaterThanZero()
.SetDisplay("Signal Cooldown Bars", "Minimum bars between entries", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Candles timeframe", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_rsi = null;
_prevRsi = 0m;
_prevMomentum = 0m;
_takeProfitPrice = 0m;
_stopLossPrice = 0m;
_hasPrev = false;
_barsFromSignal = 0;
_barIndex = 0;
_entryBar = -1;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_rsi = new RelativeStrengthIndex { Length = RsiPeriod };
_prevRsi = 0;
_prevMomentum = 0;
_hasPrev = false;
_takeProfitPrice = 0;
_stopLossPrice = 0;
_barsFromSignal = SignalCooldownBars;
_barIndex = 0;
_entryBar = -1;
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_rsi, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!_rsi.IsFormed)
{
_prevRsi = rsiValue;
return;
}
var momentum = rsiValue - _prevRsi;
_barIndex++;
if (!_hasPrev)
{
_prevRsi = rsiValue;
_prevMomentum = momentum;
_hasPrev = true;
return;
}
_barsFromSignal++;
if (Position == 0)
{
var threshold = MomentumThreshold;
var longSignal = _prevMomentum <= threshold && momentum > threshold && rsiValue >= 50m;
if (_barsFromSignal >= SignalCooldownBars && longSignal)
{
BuyMarket();
_takeProfitPrice = candle.ClosePrice * 1.03m;
_stopLossPrice = candle.ClosePrice * 0.98m;
_barsFromSignal = 0;
_entryBar = _barIndex;
}
}
else if (Position > 0)
{
var timedExit = _entryBar >= 0 && _barIndex - _entryBar >= 16;
if (candle.HighPrice >= _takeProfitPrice || candle.LowPrice <= _stopLossPrice || timedExit)
SellMarket();
}
_prevRsi = rsiValue;
_prevMomentum = momentum;
}
}
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 StockSharp.Algo.Indicators import RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class mcots_intuition_strategy(Strategy):
def __init__(self):
super(mcots_intuition_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetGreaterThanZero() \
.SetDisplay("RSI Period", "RSI calculation period", "General")
self._momentum_threshold = self.Param("MomentumThreshold", 2.0) \
.SetGreaterThanZero() \
.SetDisplay("Momentum Threshold", "Minimum RSI momentum", "General")
self._signal_cooldown_bars = self.Param("SignalCooldownBars", 30) \
.SetGreaterThanZero() \
.SetDisplay("Signal Cooldown Bars", "Minimum bars between entries", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Candles timeframe", "General")
self._prev_rsi = 0.0
self._prev_momentum = 0.0
self._take_profit_price = 0.0
self._stop_loss_price = 0.0
self._has_prev = False
self._bars_from_signal = 0
self._bar_index = 0
self._entry_bar = -1
@property
def candle_type(self):
return self._candle_type.Value
@candle_type.setter
def candle_type(self, value):
self._candle_type.Value = value
def OnReseted(self):
super(mcots_intuition_strategy, self).OnReseted()
self._prev_rsi = 0.0
self._prev_momentum = 0.0
self._take_profit_price = 0.0
self._stop_loss_price = 0.0
self._has_prev = False
self._bars_from_signal = 0
self._bar_index = 0
self._entry_bar = -1
def OnStarted2(self, time):
super(mcots_intuition_strategy, self).OnStarted2(time)
self._prev_rsi = 0.0
self._prev_momentum = 0.0
self._has_prev = False
self._take_profit_price = 0.0
self._stop_loss_price = 0.0
self._bars_from_signal = self._signal_cooldown_bars.Value
self._bar_index = 0
self._entry_bar = -1
self._rsi = RelativeStrengthIndex()
self._rsi.Length = self._rsi_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._rsi, self.OnProcess).Start()
def OnProcess(self, candle, rsi_value):
if candle.State != CandleStates.Finished:
return
rv = float(rsi_value)
if not self._rsi.IsFormed:
self._prev_rsi = rv
return
momentum = rv - self._prev_rsi
self._bar_index += 1
if not self._has_prev:
self._prev_rsi = rv
self._prev_momentum = momentum
self._has_prev = True
return
self._bars_from_signal += 1
close = float(candle.ClosePrice)
high = float(candle.HighPrice)
low = float(candle.LowPrice)
th = float(self._momentum_threshold.Value)
if self.Position == 0:
long_signal = self._prev_momentum <= th and momentum > th and rv >= 50.0
cd = self._signal_cooldown_bars.Value
if self._bars_from_signal >= cd and long_signal:
self.BuyMarket()
self._take_profit_price = close * 1.03
self._stop_loss_price = close * 0.98
self._bars_from_signal = 0
self._entry_bar = self._bar_index
elif self.Position > 0:
timed_exit = self._entry_bar >= 0 and self._bar_index - self._entry_bar >= 16
if high >= self._take_profit_price or low <= self._stop_loss_price or timed_exit:
self.SellMarket()
self._prev_rsi = rv
self._prev_momentum = momentum
def CreateClone(self):
return mcots_intuition_strategy()