Прорыв по OBV
Индикатор On-Balance Volume (OBV) отслеживает давление покупателей и продавцов, накапливая объём. Стратегия ищет выход OBV выше максимума или ниже минимума за период, при подтверждении ценой.
Тестирование показывает среднегодичную доходность около 178%. Стратегию лучше запускать на фондовом рынке.
Прорыв OBV говорит о сильном интересе. Система покупает, если OBV превышает прежний максимум, или продаёт, если пробивает минимум. Пересечение скользящей средней OBV служит сигналом выхода.
Метод сочетает импульс объёма с ценовым движением.
Подробности
- Критерий входа: OBV выходит за максимум или минимум в периоде отслеживания.
- Длинные/короткие: обе стороны.
- Критерий выхода: OBV пересекает свою MA или стоп.
- Стопы: да.
- Значения по умолчанию:
LookbackPeriod= 20OBVMAPeriod= 20CandleType= TimeSpan.FromMinutes(5)
- Фильтры:
- Категория: Пробой
- Направление: Обе стороны
- Индикаторы: OBV, MA
- Стопы: Да
- Сложность: Средняя
- Таймфрейм: Внутридневной
- Сезонность: Нет
- Нейросети: Нет
- Дивергенция: Нет
- Уровень риска: Средний
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>
/// Trades strict breaks of prior rolling OBV extrema with matching price direction.
/// Fully exits on any actual OBV/OBV-SMA crossing or actual-fill percent protection.
/// </summary>
public class ObvBreakoutStrategy : Strategy
{
private readonly StrategyParam<int> _lookbackPeriod;
private readonly StrategyParam<int> _obvMaPeriod;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private readonly Queue<decimal> _priorObvs = new();
private SimpleMovingAverage _obvAverage;
private decimal? _previousPrice;
private decimal? _previousReadyObv;
private decimal _previousMean;
private Order _pendingOrder;
public int LookbackPeriod { get => _lookbackPeriod.Value; set => _lookbackPeriod.Value = value; }
public int OBVMAPeriod { get => _obvMaPeriod.Value; set => _obvMaPeriod.Value = value; }
public decimal StopLossPercent { get => _stopLossPercent.Value; set => _stopLossPercent.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public ObvBreakoutStrategy()
{
_lookbackPeriod = Param(nameof(LookbackPeriod), 20).SetGreaterThanZero()
.SetDisplay("Lookback Period", "Number of PRIOR finished OBV values in the breakout range", "Entry");
_obvMaPeriod = Param(nameof(OBVMAPeriod), 20).SetGreaterThanZero()
.SetDisplay("OBV MA Period", "Current-inclusive SMA length for OBV, not price", "Indicators")
.SetOptimize(10, 50, 10);
_stopLossPercent = Param(nameof(StopLossPercent), 2m).SetNotNegative()
.SetDisplay("Stop Loss (%)", "Actual-fill percent stop; zero disables it.", "Protection");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
OrderRegistering += order => _pendingOrder = order;
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType), (Security, DataType.Level1)];
protected override void OnReseted()
{
base.OnReseted();
ClearSignalState();
_obvAverage = null;
}
private void ClearSignalState()
{
_priorObvs.Clear();
_previousPrice = null;
_previousReadyObv = null;
_previousMean = 0m;
_pendingOrder = null;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
ClearSignalState();
StartProtection(new Unit(), new Unit(StopLossPercent, UnitTypes.Percent), useMarketOrders: true, isLocalStop: true);
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 obv = new OnBalanceVolume();
_obvAverage = new SimpleMovingAverage { Length = OBVMAPeriod };
Indicators.Add(_obvAverage);
var subscription = SubscribeCandles(CandleType);
subscription.BindEx(obv, ProcessCandle, false).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ObserveProtectionQuote(Level1ChangeMessage quote)
{
// Native protection runs before this callback, including between finished candles.
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue obvValue)
{
if (candle.State != CandleStates.Finished)
return;
// The native SMA averages OBV itself, including warmup and pending-order bars.
var meanValue = _obvAverage.Process(obvValue);
var currentObv = obvValue.GetValue<decimal>();
var priorPrice = _previousPrice;
_previousPrice = candle.ClosePrice;
// Capture the PRIOR range before inserting the breakout candle.
var rangeReady = _priorObvs.Count == LookbackPeriod;
var upper = rangeReady ? _priorObvs.Max() : 0m;
var lower = rangeReady ? _priorObvs.Min() : 0m;
_priorObvs.Enqueue(currentObv);
while (_priorObvs.Count > LookbackPeriod)
_priorObvs.Dequeue();
if (!obvValue.Indicator.IsFormed || !_obvAverage.IsFormed)
return;
var mean = meanValue.GetValue<decimal>();
var upwardCross = _previousReadyObv is decimal up && up <= _previousMean && currentObv > mean;
var downwardCross = _previousReadyObv is decimal down && down >= _previousMean && currentObv < mean;
// Zero OBV/mean are valid values, not an uninitialized sentinel.
_previousReadyObv = currentObv;
_previousMean = mean;
if (!IsFormedAndOnlineAndAllowTrading() ||
_pendingOrder is not null && _pendingOrder.State is not (OrderStates.Done or OrderStates.Failed))
return;
if (Position != 0m && (upwardCross || downwardCross))
{
if (Position > 0m) SellMarket(Position);
else BuyMarket(Math.Abs(Position));
}
else if (Position == 0m && rangeReady && priorPrice is decimal previousClose)
{
if (currentObv > upper && candle.ClosePrice > previousClose) BuyMarket(Volume);
else if (currentObv < lower && candle.ClosePrice < previousClose) 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, Math
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, OrderStates, Level1Fields
from StockSharp.BusinessEntities import Subscription
from StockSharp.Algo.Indicators import OnBalanceVolume, SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class obv_breakout_strategy(Strategy):
"""
Trades strict breaks of prior rolling OBV extrema with matching price direction.
Fully exits on any actual OBV/OBV-SMA crossing or actual-fill percent protection.
"""
def __init__(self):
super(obv_breakout_strategy, self).__init__()
self._lookback_period = self.Param("LookbackPeriod", 20).SetGreaterThanZero().SetDisplay("Lookback Period", "Number of PRIOR finished OBV values in the breakout range", "Entry")
self._obv_ma_period = self.Param("OBVMAPeriod", 20).SetGreaterThanZero().SetDisplay("OBV MA Period", "Current-inclusive SMA length for OBV, not price", "Indicators")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative().SetDisplay("Stop Loss (%)", "Actual-fill percent stop; zero disables it.", "Protection")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._prior_obvs = []
self._obv_average = None
self._previous_price = None
self._previous_ready_obv = None
self._previous_mean = Decimal.Zero
self._pending_order = None
self.OrderRegistering += self._track_pending
@property
def candle_type(self):
return self._candle_type.Value
def GetWorkingSecurities(self):
return [(self.Security, self.candle_type), (self.Security, DataType.Level1)]
def _track_pending(self, order):
self._pending_order = order
def _clear_signal_state(self):
self._prior_obvs = []
self._previous_price = None
self._previous_ready_obv = None
self._previous_mean = Decimal.Zero
self._pending_order = None
def OnReseted(self):
super(obv_breakout_strategy, self).OnReseted()
self._clear_signal_state()
self._obv_average = None
def OnStarted2(self, time):
super(obv_breakout_strategy, self).OnStarted2(time)
self._clear_signal_state()
self.StartProtection(Unit(), Unit(Decimal(self._stop_loss_percent.Value), UnitTypes.Percent), useMarketOrders=True, isLocalStop=True)
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()
obv = OnBalanceVolume()
self._obv_average = SimpleMovingAverage()
self._obv_average.Length = self._obv_ma_period.Value
self.Indicators.Add(self._obv_average)
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(obv, self._process_candle, False).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def _observe_protection_quote(self, quote):
# Native protection runs before this callback, including between finished candles.
pass
def _process_candle(self, candle, obv_value):
if candle.State != CandleStates.Finished:
return
# Average OBV itself, including warmup and pending-order bars.
mean_value = self._obv_average.Process(obv_value)
current_obv = obv_value.GetValue[Decimal](None)
prior_price = self._previous_price
self._previous_price = candle.ClosePrice
# Capture the PRIOR range before inserting the breakout candle.
range_ready = len(self._prior_obvs) == self._lookback_period.Value
upper = max(self._prior_obvs) if range_ready else Decimal.Zero
lower = min(self._prior_obvs) if range_ready else Decimal.Zero
self._prior_obvs.append(current_obv)
while len(self._prior_obvs) > self._lookback_period.Value:
del self._prior_obvs[0]
if not obv_value.Indicator.IsFormed or not self._obv_average.IsFormed:
return
mean = mean_value.GetValue[Decimal](None)
upward_cross = self._previous_ready_obv is not None and self._previous_ready_obv <= self._previous_mean and current_obv > mean
downward_cross = self._previous_ready_obv is not None and self._previous_ready_obv >= self._previous_mean and current_obv < mean
# Zero OBV/mean are valid values, not an uninitialized sentinel.
self._previous_ready_obv = current_obv
self._previous_mean = mean
if not self.IsFormedAndOnlineAndAllowTrading() or (self._pending_order is not None and self._pending_order.State not in (OrderStates.Done, OrderStates.Failed)):
return
if self.Position != 0 and (upward_cross or downward_cross):
if self.Position > 0:
self.SellMarket(self.Position)
else:
self.BuyMarket(Math.Abs(self.Position))
elif self.Position == 0 and range_ready and prior_price is not None:
if current_obv > upper and candle.ClosePrice > prior_price:
self.BuyMarket(self.Volume)
elif current_obv < lower and candle.ClosePrice < prior_price:
self.SellMarket(self.Volume)
def CreateClone(self):
return obv_breakout_strategy()