OBV 背离策略
能量潮(OBV)通过累积成交量反映成交动能,理论上成交量领先价格。当价格创出新高但 OBV 未能确认,或反之,可能预示反转。本策略利用这种背离做反向交易,抓住难以持续的走势。
测试表明年均收益约为 112%,该策略在外汇市场表现最佳。
每根K线都会更新 OBV,并与之前读数比较。当价格创新低但 OBV 形成更高的低点时发出看涨信号;当价格上破新高但 OBV 滞后时则为看跌信号。移动平均线提供离场依据,百分比止损控制风险。
该方法试图在成交量耗尽后捕捉均值回归,通常持仓到价格重新穿过均线为止。
细节
- 入场条件:价格与 OBV 背离。
- 多/空:双向。
- 退出条件:价格穿越移动平均线或止损。
- 止损:是,按百分比。
- 默认值:
DivergencePeriod= 5MAPeriod= 20CandleType= 5 分钟StopLossPercent= 2
- 过滤条件:
- 类别: 背离
- 方向: 双向
- 指标: OBV, 均线
- 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: 是
- 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>
/// OBV (On-Balance Volume) Divergence strategy.
/// Tracks OBV direction vs price direction over a lookback window.
/// Bullish divergence: price trending down but OBV trending up.
/// Bearish divergence: price trending up but OBV trending down.
/// Uses SMA for exit signals.
/// </summary>
public class ObvDivergenceStrategy : Strategy
{
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<int> _lookback;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private decimal _cumulativeObv;
private decimal _prevClosePrice;
private readonly List<decimal> _priceHistory = new();
private readonly List<decimal> _obvHistory = new();
private int _cooldown;
/// <summary>
/// MA Period.
/// </summary>
public int MAPeriod
{
get => _maPeriod.Value;
set => _maPeriod.Value = value;
}
/// <summary>
/// Lookback period for divergence.
/// </summary>
public int Lookback
{
get => _lookback.Value;
set => _lookback.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Cooldown bars.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public ObvDivergenceStrategy()
{
_maPeriod = Param(nameof(MAPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("MA Period", "Period for SMA exit signal", "Indicators");
_lookback = Param(nameof(Lookback), 10)
.SetGreaterThanZero()
.SetDisplay("Lookback", "Lookback period for divergence detection", "Indicators");
_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();
_cumulativeObv = default;
_prevClosePrice = default;
_priceHistory.Clear();
_obvHistory.Clear();
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_cumulativeObv = 0;
_prevClosePrice = 0;
_priceHistory.Clear();
_obvHistory.Clear();
_cooldown = 0;
var sma = new SimpleMovingAverage { Length = MAPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(sma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, sma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal smaValue)
{
if (candle.State != CandleStates.Finished)
return;
// Calculate OBV manually
if (_prevClosePrice > 0)
{
if (candle.ClosePrice > _prevClosePrice)
_cumulativeObv += candle.TotalVolume;
else if (candle.ClosePrice < _prevClosePrice)
_cumulativeObv -= candle.TotalVolume;
}
_prevClosePrice = candle.ClosePrice;
// Store history
_priceHistory.Add(candle.ClosePrice);
_obvHistory.Add(_cumulativeObv);
// Keep only what we need
if (_priceHistory.Count > Lookback + 1)
{
_priceHistory.RemoveAt(0);
_obvHistory.RemoveAt(0);
}
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_priceHistory.Count <= Lookback)
return;
if (_cooldown > 0)
{
_cooldown--;
return;
}
// Compare current values to lookback-period-ago values
var priceChange = _priceHistory[_priceHistory.Count - 1] - _priceHistory[0];
var obvChange = _obvHistory[_obvHistory.Count - 1] - _obvHistory[0];
// Bullish divergence: price down but OBV up
var bullishDiv = priceChange < 0 && obvChange > 0;
// Bearish divergence: price up but OBV down
var bearishDiv = priceChange > 0 && obvChange < 0;
if (Position == 0 && bullishDiv)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (Position == 0 && bearishDiv)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position > 0 && candle.ClosePrice < smaValue)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position < 0 && candle.ClosePrice > smaValue)
{
BuyMarket();
_cooldown = CooldownBars;
}
}
}
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 SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class obv_divergence_strategy(Strategy):
"""
OBV (On-Balance Volume) Divergence strategy.
Tracks OBV direction vs price direction over a lookback window.
Bullish divergence: price trending down but OBV trending up.
Bearish divergence: price trending up but OBV trending down.
Uses SMA for exit signals.
"""
def __init__(self):
super(obv_divergence_strategy, self).__init__()
self._ma_period = self.Param("MAPeriod", 20).SetDisplay("MA Period", "Period for SMA exit signal", "Indicators")
self._lookback = self.Param("Lookback", 10).SetDisplay("Lookback", "Lookback period for divergence detection", "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._cumulative_obv = 0.0
self._prev_close = 0.0
self._price_history = []
self._obv_history = []
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(obv_divergence_strategy, self).OnReseted()
self._cumulative_obv = 0.0
self._prev_close = 0.0
self._price_history = []
self._obv_history = []
self._cooldown = 0
def OnStarted2(self, time):
super(obv_divergence_strategy, self).OnStarted2(time)
self._cumulative_obv = 0.0
self._prev_close = 0.0
self._price_history = []
self._obv_history = []
self._cooldown = 0
sma = SimpleMovingAverage()
sma.Length = self._ma_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(sma, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, sma)
self.DrawOwnTrades(area)
def _process_candle(self, candle, sma_val):
if candle.State != CandleStates.Finished:
return
close = float(candle.ClosePrice)
vol = float(candle.TotalVolume)
# Calculate OBV manually
if self._prev_close > 0:
if close > self._prev_close:
self._cumulative_obv += vol
elif close < self._prev_close:
self._cumulative_obv -= vol
self._prev_close = close
# Store history
self._price_history.append(close)
self._obv_history.append(self._cumulative_obv)
lb = self._lookback.Value
# Keep only what we need
if len(self._price_history) > lb + 1:
self._price_history.pop(0)
self._obv_history.pop(0)
if len(self._price_history) <= lb:
return
if self._cooldown > 0:
self._cooldown -= 1
return
# Compare current values to lookback-period-ago values
price_change = self._price_history[-1] - self._price_history[0]
obv_change = self._obv_history[-1] - self._obv_history[0]
# Bullish divergence: price down but OBV up
bullish_div = price_change < 0 and obv_change > 0
# Bearish divergence: price up but OBV down
bearish_div = price_change > 0 and obv_change < 0
sv = float(sma_val)
cd = self._cooldown_bars.Value
if self.Position == 0 and bullish_div:
self.BuyMarket()
self._cooldown = cd
elif self.Position == 0 and bearish_div:
self.SellMarket()
self._cooldown = cd
elif self.Position > 0 and close < sv:
self.SellMarket()
self._cooldown = cd
elif self.Position < 0 and close > sv:
self.BuyMarket()
self._cooldown = cd
def CreateClone(self):
return obv_divergence_strategy()