RSIフェイラー・スイング戦略
RSIフェイラー・スイングは、RSIが売られすぎ圏でより高い安値を形成するか、買われすぎ圏でより低い高値を形成するクラシックなリバーサル手法です。 新たな極値に達しないこの失敗は、しばしばトレンド転換の前触れとなります。
テストでは年平均リターンが約67%であることが示されています。株式市場で最も良いパフォーマンスを発揮します。
この戦略は、RSIが前の安値を上回って維持し30を上回るクロスをした時に買い、または前の高値を超えられず70を下回るクロスをした時に売ります。
パーセントストップが下値リスクを限定し、RSIが反対のレベルをクロスしたときにポジションを閉じます。
詳細
- エントリー条件: インジケーターシグナル
- ロング/ショート: 両方
- エグジット条件: ストップロスまたは逆シグナル
- ストップ: はい、パーセントベース
- デフォルト値:
CandleType= 15 minuteRsiPeriod= 14OversoldLevel= 30OverboughtLevel= 70StopLossPercent= 2
- フィルター:
- カテゴリ: リバーサル
- 方向: 両方
- インジケーター: RSI
- ストップ: はい
- 複雑さ: 中級
- 時間軸: イントラデイ
- 季節性: いいえ
- ニューラルネットワーク: いいえ
- ダイバージェンス: いいえ
- リスクレベル: 中
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 Failure Swing strategy.
/// A trough of RSI below OversoldLevel that is higher than the previous such trough arms a long, which opens when RSI then crosses
/// back above OversoldLevel; peaks above OverboughtLevel arm shorts the same way. A long closes when RSI crosses above OverboughtLevel,
/// a short when it crosses below OversoldLevel, and a percent stop limits the loss.
/// </summary>
public class RsiFailureSwingStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _oversoldLevel;
private readonly StrategyParam<decimal> _overboughtLevel;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
// The last two values, the last trough and peak in the extreme zones, and the swings that arm an entry.
private decimal? _last;
private decimal? _beforeLast;
private decimal? _lastTrough;
private decimal? _lastPeak;
private decimal? _armedLong;
private decimal? _armedShort;
private decimal _exitLevel;
/// <summary>
/// Period for RSI.
/// </summary>
public int RsiPeriod
{
get => _rsiPeriod.Value;
set => _rsiPeriod.Value = value;
}
/// <summary>
/// RSI level below which troughs count.
/// </summary>
public decimal OversoldLevel
{
get => _oversoldLevel.Value;
set => _oversoldLevel.Value = value;
}
/// <summary>
/// RSI level above which peaks count.
/// </summary>
public decimal 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 RsiFailureSwingStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "Period for RSI", "Indicators");
_oversoldLevel = Param(nameof(OversoldLevel), 30m)
.SetDisplay("Oversold Level", "RSI level below which troughs count", "Levels");
_overboughtLevel = Param(nameof(OverboughtLevel), 70m)
.SetDisplay("Overbought Level", "RSI level above which peaks count", "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();
ResetState();
}
private void ResetState()
{
_last = null;
_beforeLast = null;
_lastTrough = null;
_lastPeak = null;
_armedLong = null;
_armedShort = null;
_exitLevel = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
ResetState();
var oscillator = new RelativeStrengthIndex { Length = RsiPeriod };
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)
return;
var current = value.GetValue<decimal>();
if (_last is decimal last)
{
// The previous value is a trough or a peak once the current one turns away from it.
if (_beforeLast is decimal beforeLast)
{
if (last < beforeLast && last < current && last < OversoldLevel)
{
_armedLong = _lastTrough is decimal trough && last > trough ? last : null;
_lastTrough = last;
}
else if (last > beforeLast && last > current && last > OverboughtLevel)
{
_armedShort = _lastPeak is decimal peak && last < peak ? last : null;
_lastPeak = last;
}
}
var longTrigger = last <= OversoldLevel && current > OversoldLevel;
var shortTrigger = last >= OverboughtLevel && current < OverboughtLevel;
var armedLong = longTrigger ? _armedLong : null;
var armedShort = shortTrigger ? _armedShort : null;
if (longTrigger)
_armedLong = null;
if (shortTrigger)
_armedShort = null;
if (IsFormedAndOnlineAndAllowTrading())
{
if (Position > 0)
{
if (last <= OverboughtLevel && current > OverboughtLevel)
SellMarket(Position);
}
else if (Position < 0)
{
if (last >= OversoldLevel && current < OversoldLevel)
BuyMarket(-Position);
}
else if (armedLong is decimal longSwing)
{
BuyMarket(Volume);
_exitLevel = longSwing;
}
else if (armedShort is decimal shortSwing)
{
SellMarket(Volume);
_exitLevel = shortSwing;
}
}
}
_beforeLast = _last;
_last = current;
}
}
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 RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class rsi_failure_swing_strategy(Strategy):
"""
RSI Failure Swing strategy.
A trough of RSI below OversoldLevel that is higher than the previous such trough arms a long, which opens when RSI then crosses
back above OversoldLevel; peaks above OverboughtLevel arm shorts the same way. A long closes when RSI crosses above OverboughtLevel,
a short when it crosses below OversoldLevel, and a percent stop limits the loss.
"""
def __init__(self):
super(rsi_failure_swing_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 14).SetGreaterThanZero().SetDisplay("RSI Period", "Period for RSI", "Indicators")
self._oversold_level = self.Param("OversoldLevel", 30.0).SetDisplay("Oversold Level", "RSI level below which troughs count", "Levels")
self._overbought_level = self.Param("OverboughtLevel", 70.0).SetDisplay("Overbought Level", "RSI level above which peaks count", "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._reset_state()
@property
def candle_type(self):
return self._candle_type.Value
def _reset_state(self):
# The last two values, the last trough and peak in the extreme zones, and the swings that arm an entry.
self._last = None
self._before_last = None
self._last_trough = None
self._last_peak = None
self._armed_long = None
self._armed_short = None
self._exit_level = Decimal(0)
def OnReseted(self):
super(rsi_failure_swing_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(rsi_failure_swing_strategy, self).OnStarted2(time)
self._reset_state()
oscillator = RelativeStrengthIndex()
oscillator.Length = self._rsi_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:
return
current = value.GetValue[Decimal](None)
os_level = Decimal(self._oversold_level.Value)
ob_level = Decimal(self._overbought_level.Value)
last = self._last
if last is not None:
# The previous value is a trough or a peak once the current one turns away from it.
before_last = self._before_last
if before_last is not None:
if last < before_last and last < current and last < os_level:
self._armed_long = last if self._last_trough is not None and last > self._last_trough else None
self._last_trough = last
elif last > before_last and last > current and last > ob_level:
self._armed_short = last if self._last_peak is not None and last < self._last_peak else None
self._last_peak = last
long_trigger = last <= os_level and current > os_level
short_trigger = last >= ob_level and current < ob_level
armed_long = self._armed_long if long_trigger else None
armed_short = self._armed_short if short_trigger else None
if long_trigger:
self._armed_long = None
if short_trigger:
self._armed_short = None
if self.IsFormedAndOnlineAndAllowTrading():
if self.Position > 0:
if last <= ob_level and current > ob_level:
self.SellMarket(self.Position)
elif self.Position < 0:
if last >= os_level and current < os_level:
self.BuyMarket(-self.Position)
elif armed_long is not None:
self.BuyMarket(self.Volume)
self._exit_level = armed_long
elif armed_short is not None:
self.SellMarket(self.Volume)
self._exit_level = armed_short
self._before_last = self._last
self._last = current
def CreateClone(self):
return rsi_failure_swing_strategy()