出来高クライマックスリバーサル戦略
出来高クライマックスリバーサルは、強いトレンドの後に極めて高い出来高によって特徴づけられる転換点を探します。 このような急激なスパイクは、モメンタムが衰える前に最後の買い手や売り手が殺到することによる枯渇を示唆します。
テストでは年平均リターン約 82% を示しています。株式市場で最も良いパフォーマンスを発揮します。
戦略は、大きな出来高バーがクローズして価格が反落し始めたときに、前の動きに逆らってエントリーします。
タイトなパーセントストップがポジションを保護し、出来高が減少しない場合や価格が元の方向に続く場合はトレードを終了します。
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反対シグナル
- ストップ: はい、パーセントベース
- デフォルト値:
CandleType= 15 minuteMaPeriod= 20VolumeMultiplier= 2StopLossPercent= 2 クライマックスとは、トレンド方向に引けた足(MaPeriod 期間のSMAより上の陽線、下の陰線)で、出来高が直前 MaPeriod 本の平均の VolumeMultiplier 倍を超えるものです。次に反対方向で引けた足で、その動きに逆らうトレードを始めます。終値がクライマックス足の極値を越えたとき、出来高が再び急増したとき、またはパーセントストップで手仕舞います。
- フィルター:
- カテゴリ: 出来高
- 方向: 両方
- インジケーター: 出来高
- 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 System.Linq;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Volume Climax Reversal strategy.
/// A climax is a candle closing in the direction of the trend (a bullish candle above the SMA or a bearish one below it)
/// with volume above VolumeMultiplier times the average of the previous MaPeriod candles. When the next candle retraces, the strategy
/// enters against the move while flat. It exits when price closes beyond the climax extreme, when volume spikes again, or at the percent stop.
/// </summary>
public class VolumeClimaxReversalStrategy : Strategy
{
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<decimal> _volumeMultiplier;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private readonly List<decimal> _volumes = [];
// The climax of the previous candle: 1 up, -1 down, 0 none, and its extreme.
private int _climax;
private decimal _climaxExtreme;
private decimal _exitLevel;
/// <summary>
/// Period of the trend SMA and of the volume average.
/// </summary>
public int MaPeriod
{
get => _maPeriod.Value;
set => _maPeriod.Value = value;
}
/// <summary>
/// How many times the average volume a climax must exceed.
/// </summary>
public decimal VolumeMultiplier
{
get => _volumeMultiplier.Value;
set => _volumeMultiplier.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 VolumeClimaxReversalStrategy()
{
_maPeriod = Param(nameof(MaPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("MA Period", "Period of the trend SMA and of the volume average", "Indicators");
_volumeMultiplier = Param(nameof(VolumeMultiplier), 2m)
.SetGreaterThanZero()
.SetDisplay("Volume Multiplier", "How many times the average volume a climax must exceed", "Indicators");
_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();
_volumes.Clear();
_climax = 0;
_climaxExtreme = default;
_exitLevel = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_volumes.Clear();
_climax = 0;
_climaxExtreme = default;
_exitLevel = default;
var sma = new SimpleMovingAverage { Length = MaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(sma, 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, sma);
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 smaValue)
{
if (candle.State != CandleStates.Finished)
return;
// The spike is measured against the candles before this one.
var average = _volumes.Count == MaPeriod ? _volumes.Average() : (decimal?)null;
_volumes.Add(candle.TotalVolume);
if (_volumes.Count > MaPeriod)
_volumes.RemoveAt(0);
var climax = _climax;
var climaxExtreme = _climaxExtreme;
_climax = 0;
if (average is not decimal avgVolume || !smaValue.IsFormed)
return;
var ma = smaValue.GetValue<decimal>();
var close = candle.ClosePrice;
var spike = candle.TotalVolume > avgVolume * VolumeMultiplier;
if (spike && close > candle.OpenPrice && close > ma)
{
_climax = 1;
_climaxExtreme = candle.HighPrice;
}
else if (spike && close < candle.OpenPrice && close < ma)
{
_climax = -1;
_climaxExtreme = candle.LowPrice;
}
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (Position < 0)
{
if (close > _exitLevel || spike)
BuyMarket(-Position);
}
else if (Position > 0)
{
if (close < _exitLevel || spike)
SellMarket(Position);
}
else if (climax == 1 && close < candle.OpenPrice)
{
SellMarket(Volume);
_exitLevel = climaxExtreme;
}
else if (climax == -1 && close > candle.OpenPrice)
{
BuyMarket(Volume);
_exitLevel = climaxExtreme;
}
}
}
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 SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class volume_climax_reversal_strategy(Strategy):
"""
Volume Climax Reversal strategy.
A climax is a candle closing in the direction of the trend (a bullish candle above the SMA or a bearish one below it)
with volume above VolumeMultiplier times the average of the previous MaPeriod candles. When the next candle retraces, the strategy
enters against the move while flat. It exits when price closes beyond the climax extreme, when volume spikes again, or at the percent stop.
"""
def __init__(self):
super(volume_climax_reversal_strategy, self).__init__()
self._ma_period = self.Param("MaPeriod", 20).SetGreaterThanZero().SetDisplay("MA Period", "Period of the trend SMA and of the volume average", "Indicators")
self._volume_multiplier = self.Param("VolumeMultiplier", 2.0).SetGreaterThanZero().SetDisplay("Volume Multiplier", "How many times the average volume a climax must exceed", "Indicators")
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):
self._volumes = []
# The climax of the previous candle: 1 up, -1 down, 0 none, and its extreme.
self._climax = 0
self._climax_extreme = Decimal(0)
self._exit_level = Decimal(0)
def OnReseted(self):
super(volume_climax_reversal_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(volume_climax_reversal_strategy, self).OnStarted2(time)
self._reset_state()
sma = SimpleMovingAverage()
sma.Length = self._ma_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(sma, 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, sma)
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, sma_value):
if candle.State != CandleStates.Finished:
return
# The spike is measured against the candles before this one.
period = self._ma_period.Value
average = None
if len(self._volumes) == period:
total = Decimal(0)
for volume in self._volumes:
total += volume
average = total / Decimal(period)
self._volumes.append(candle.TotalVolume)
if len(self._volumes) > period:
self._volumes.pop(0)
climax = self._climax
climax_extreme = self._climax_extreme
self._climax = 0
if average is None or not sma_value.IsFormed:
return
ma = sma_value.GetValue[Decimal](None)
close = candle.ClosePrice
spike = candle.TotalVolume > average * Decimal(self._volume_multiplier.Value)
if spike and close > candle.OpenPrice and close > ma:
self._climax = 1
self._climax_extreme = candle.HighPrice
elif spike and close < candle.OpenPrice and close < ma:
self._climax = -1
self._climax_extreme = candle.LowPrice
if not self.IsFormedAndOnlineAndAllowTrading():
return
if self.Position < 0:
if close > self._exit_level or spike:
self.BuyMarket(-self.Position)
elif self.Position > 0:
if close < self._exit_level or spike:
self.SellMarket(self.Position)
elif climax == 1 and close < candle.OpenPrice:
self.SellMarket(self.Volume)
self._exit_level = climax_extreme
elif climax == -1 and close > candle.OpenPrice:
self.BuyMarket(self.Volume)
self._exit_level = climax_extreme
def CreateClone(self):
return volume_climax_reversal_strategy()