随机指标钩形反转策略
该策略观察 %K 线在超买或超卖区域的钩形动作。振荡指标达到极端后常会向回勾,表明动能减弱。
测试表明年均收益约为 166%,该策略在股票市场表现最佳。
当价格刷新低点时,%K 从20以下向上钩起即做多;在价格最后一波上冲时,%K 在80以上向下钩则做空。
仓位设置较小的百分比止损,当随机指标向反方向钩回或止损被触发时平仓。
细节
- 入场条件:指标信号。
- 多/空:双向。
- 退出条件:止损或相反信号。
- 止损:是,按百分比。
- 默认值:
CandleType= 15 分钟KPeriod= 14DPeriod= 3OversoldLevel= 20OverboughtLevel= 80StopLossPercent= 2
- 过滤条件:
- 类别: 反转
- 方向: 双向
- 指标: 随机指标
- 止损: 有
- 复杂度: 中等
- 时间框架: 日内
- 季节性: 无
- 神经网络: 无
- 背离: 无
- 风险级别: 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>
/// Stochastic Hook Reversal strategy.
/// A long opens when %K was below the oversold level on the previous candle and turns up while the low makes a new low
/// against the previous candle; a short opens when it was above the overbought level and turns down while the high makes a new high.
/// The position closes when %K turns the other way, reversing on the opposite signal, and a percent stop limits the loss.
/// </summary>
public class StochasticHookReversalStrategy : Strategy
{
private readonly StrategyParam<int> _kPeriod;
private readonly StrategyParam<int> _dPeriod;
private readonly StrategyParam<int> _oversoldLevel;
private readonly StrategyParam<int> _overboughtLevel;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private decimal? _prevValue;
private decimal _prevHigh;
private decimal _prevLow;
/// <summary>
/// Period for %K.
/// </summary>
public int KPeriod
{
get => _kPeriod.Value;
set => _kPeriod.Value = value;
}
/// <summary>
/// Period for %D.
/// </summary>
public int DPeriod
{
get => _dPeriod.Value;
set => _dPeriod.Value = value;
}
/// <summary>
/// %K level of the oversold zone.
/// </summary>
public int OversoldLevel
{
get => _oversoldLevel.Value;
set => _oversoldLevel.Value = value;
}
/// <summary>
/// %K level of the overbought zone.
/// </summary>
public int OverboughtLevel
{
get => _overboughtLevel.Value;
set => _overboughtLevel.Value = value;
}
/// <summary>
/// Stop-loss percentage.
/// </summary>
public decimal StopLossPercent
{
get => _stopLossPercent.Value;
set => _stopLossPercent.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public StochasticHookReversalStrategy()
{
_kPeriod = Param(nameof(KPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("K Period", "Period for %K", "Indicators");
_dPeriod = Param(nameof(DPeriod), 3)
.SetGreaterThanZero()
.SetDisplay("D Period", "Period for %D", "Indicators");
_oversoldLevel = Param(nameof(OversoldLevel), 20)
.SetDisplay("Oversold Level", "%K level of the oversold zone", "Levels");
_overboughtLevel = Param(nameof(OverboughtLevel), 80)
.SetDisplay("Overbought Level", "%K level of the overbought zone", "Levels");
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetNotNegative()
.SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevValue = null;
_prevHigh = default;
_prevLow = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevValue = null;
_prevHigh = default;
_prevLow = default;
var oscillator = new StochasticOscillator
{
K = { Length = KPeriod },
D = { Length = DPeriod },
};
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(oscillator, ProcessCandle)
.Start();
StartProtection(new Unit(), new Unit(StopLossPercent, UnitTypes.Percent), useMarketOrders: true, isLocalStop: true);
// The stop has to see prices between candles, not only at their close.
foreach (var field in new[] { Level1Fields.BestBidPrice, Level1Fields.BestAskPrice })
{
var quotes = new Subscription(DataType.Level1, Security);
quotes.MarketData.BuildField = field;
SubscribeLevel1(quotes).Bind(ObserveProtectionQuote).Start();
}
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, oscillator);
DrawOwnTrades(area);
}
}
private void ObserveProtectionQuote(Level1ChangeMessage quote)
{
// The high-level handler activates native protection before this callback, also between signal bars.
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue value)
{
if (candle.State != CandleStates.Finished || !value.IsFormed || value.IsEmpty || value is not IStochasticOscillatorValue { K: decimal k })
return;
var current = k;
var previous = _prevValue;
var prevHigh = _prevHigh;
var prevLow = _prevLow;
_prevValue = current;
_prevHigh = candle.HighPrice;
_prevLow = candle.LowPrice;
if (previous is not decimal last || !IsFormedAndOnlineAndAllowTrading())
return;
var hooksUp = current > last;
var hooksDown = current < last;
var longSignal = last < OversoldLevel && hooksUp && candle.LowPrice < prevLow;
var shortSignal = last > OverboughtLevel && hooksDown && candle.HighPrice > prevHigh;
if (Position > 0)
{
if (hooksDown)
SellMarket(shortSignal ? Volume + Position : Position);
}
else if (Position < 0)
{
if (hooksUp)
BuyMarket(longSignal ? Volume - Position : -Position);
}
else if (longSignal)
{
BuyMarket(Volume);
}
else if (shortSignal)
{
SellMarket(Volume);
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
clr.AddReference("StockSharp.BusinessEntities")
from System import TimeSpan, Decimal
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, Level1Fields
from StockSharp.BusinessEntities import Subscription
from StockSharp.Algo.Indicators import StochasticOscillator
from StockSharp.Algo.Strategies import Strategy
class stochastic_hook_reversal_strategy(Strategy):
"""
Stochastic Hook Reversal strategy.
A long opens when %K was below the oversold level on the previous candle and turns up while the low makes a new low
against the previous candle; a short opens when it was above the overbought level and turns down while the high makes a new high.
The position closes when %K turns the other way, reversing on the opposite signal, and a percent stop limits the loss.
"""
def __init__(self):
super(stochastic_hook_reversal_strategy, self).__init__()
self._k_period = self.Param("KPeriod", 14).SetGreaterThanZero().SetDisplay("K Period", "Period for %K", "Indicators")
self._d_period = self.Param("DPeriod", 3).SetGreaterThanZero().SetDisplay("D Period", "Period for %D", "Indicators")
self._oversold_level = self.Param("OversoldLevel", 20).SetDisplay("Oversold Level", "%K level of the oversold zone", "Levels")
self._overbought_level = self.Param("OverboughtLevel", 80).SetDisplay("Overbought Level", "%K level of the overbought zone", "Levels")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative().SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_value = None
self._prev_high = Decimal(0)
self._prev_low = Decimal(0)
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(stochastic_hook_reversal_strategy, self).OnReseted()
self._prev_value = None
self._prev_high = Decimal(0)
self._prev_low = Decimal(0)
def OnStarted2(self, time):
super(stochastic_hook_reversal_strategy, self).OnStarted2(time)
self._prev_value = None
self._prev_high = Decimal(0)
self._prev_low = Decimal(0)
oscillator = StochasticOscillator()
oscillator.K.Length = self._k_period.Value
oscillator.D.Length = self._d_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(oscillator, self._process_candle).Start()
self.StartProtection(Unit(), Unit(Decimal(self._stop_loss_percent.Value), UnitTypes.Percent), useMarketOrders=True, isLocalStop=True)
# The stop has to see prices between candles, not only at their close.
for field in (Level1Fields.BestBidPrice, Level1Fields.BestAskPrice):
quotes = Subscription(DataType.Level1, self.Security)
quotes.MarketData.BuildField = field
self.SubscribeLevel1(quotes).Bind(self._observe_protection_quote).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, oscillator)
self.DrawOwnTrades(area)
def _observe_protection_quote(self, quote):
# The high-level handler activates native protection before the callback, including between bars.
pass
def _process_candle(self, candle, value):
if candle.State != CandleStates.Finished or not value.IsFormed or value.IsEmpty or value.K is None:
return
current = value.K
previous = self._prev_value
prev_high = self._prev_high
prev_low = self._prev_low
self._prev_value = current
self._prev_high = candle.HighPrice
self._prev_low = candle.LowPrice
if previous is None or not self.IsFormedAndOnlineAndAllowTrading():
return
hooks_up = current > previous
hooks_down = current < previous
long_signal = previous < Decimal(self._oversold_level.Value) and hooks_up and candle.LowPrice < prev_low
short_signal = previous > Decimal(self._overbought_level.Value) and hooks_down and candle.HighPrice > prev_high
if self.Position > 0:
if hooks_down:
self.SellMarket(self.Volume + self.Position if short_signal else self.Position)
elif self.Position < 0:
if hooks_up:
self.BuyMarket(self.Volume - self.Position if long_signal else -self.Position)
elif long_signal:
self.BuyMarket(self.Volume)
elif short_signal:
self.SellMarket(self.Volume)
def CreateClone(self):
return stochastic_hook_reversal_strategy()