OBV突破 (OBV Breakout)
观察能量潮(OBV)突破历史高点或低点并由价格确认。
测试表明年均收益约为 178%,该策略在股票市场表现最佳。
跟随OBV方向交易。
详情
- 入场条件: OBV surpasses highest or lowest value in lookback period.
- 多空方向: Both directions.
- 出场条件: OBV crosses its MA or stop.
- 止损: Yes.
- 默认值:
LookbackPeriod= 20OBVMAPeriod= 20CandleType= TimeSpan.FromMinutes(5)
- 过滤器:
- 类别: Breakout
- 方向: Both
- 指标: OBV, MA
- 止损: Yes
- 复杂度: Intermediate
- 时间框架: Intraday
- 季节性: No
- 神经网络: No
- 背离: No
- 风险等级: Medium
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>
/// On-Balance Volume (OBV) Breakout strategy.
/// Enters when OBV crosses its moving average indicating volume confirmation of trend.
/// </summary>
public class ObvBreakoutStrategy : Strategy
{
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private decimal _prevObv;
private int _cooldown;
/// <summary>
/// MA Period for OBV average.
/// </summary>
public int MAPeriod
{
get => _maPeriod.Value;
set => _maPeriod.Value = value;
}
/// <summary>
/// Candle type for strategy calculation.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Cooldown bars between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Initialize the OBV Breakout strategy.
/// </summary>
public ObvBreakoutStrategy()
{
_maPeriod = Param(nameof(MAPeriod), 20)
.SetDisplay("MA Period", "Period for OBV moving average", "Indicators")
.SetOptimize(10, 50, 10);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_cooldownBars = Param(nameof(CooldownBars), 500)
.SetRange(1, 1000)
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevObv = default;
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevObv = 0;
_cooldown = 0;
var obv = new OnBalanceVolume();
var sma = new SimpleMovingAverage { Length = MAPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(obv, sma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal obvValue, decimal smaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_prevObv == 0)
{
_prevObv = obvValue;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_prevObv = obvValue;
return;
}
// Use OBV direction + price vs SMA for signals
var obvRising = obvValue > _prevObv;
if (Position == 0)
{
if (obvRising && candle.ClosePrice > smaValue)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (!obvRising && candle.ClosePrice < smaValue)
{
SellMarket();
_cooldown = CooldownBars;
}
}
else if (Position > 0 && !obvRising)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position < 0 && obvRising)
{
BuyMarket();
_cooldown = CooldownBars;
}
_prevObv = obvValue;
}
}
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 OnBalanceVolume, SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class obv_breakout_strategy(Strategy):
"""
On-Balance Volume (OBV) Breakout strategy.
Enters when OBV direction confirms price trend relative to SMA.
"""
def __init__(self):
super(obv_breakout_strategy, self).__init__()
self._ma_period = self.Param("MAPeriod", 20).SetDisplay("MA Period", "Period for OBV moving average", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._cooldown_bars = self.Param("CooldownBars", 500).SetDisplay("Cooldown Bars", "Bars to wait between trades", "General")
self._prev_obv = 0.0
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(obv_breakout_strategy, self).OnReseted()
self._prev_obv = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(obv_breakout_strategy, self).OnStarted2(time)
self._prev_obv = 0.0
self._cooldown = 0
obv = OnBalanceVolume()
sma = SimpleMovingAverage()
sma.Length = self._ma_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(obv, sma, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def _process_candle(self, candle, obv_val, sma_val):
if candle.State != CandleStates.Finished:
return
ov = float(obv_val)
if self._prev_obv == 0:
self._prev_obv = ov
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_obv = ov
return
obv_rising = ov > self._prev_obv
close = float(candle.ClosePrice)
sv = float(sma_val)
cd = self._cooldown_bars.Value
if self.Position == 0:
if obv_rising and close > sv:
self.BuyMarket()
self._cooldown = cd
elif not obv_rising and close < sv:
self.SellMarket()
self._cooldown = cd
elif self.Position > 0 and not obv_rising:
self.SellMarket()
self._cooldown = cd
elif self.Position < 0 and obv_rising:
self.BuyMarket()
self._cooldown = cd
self._prev_obv = ov
def CreateClone(self):
return obv_breakout_strategy()