AO Divergence Strategy
The strategy looks for bullish and bearish divergences between the Awesome Oscillator (AO) and price. A bullish divergence occurs when price makes a lower low while AO forms a higher low. A bearish divergence appears when price makes a higher high while AO makes a lower high.
When a bullish divergence is detected, the strategy opens a long position. A bearish divergence triggers a short position. Positions reverse on opposite signals.
Details
- Entry Criteria: AO bullish or bearish divergence with price.
- Long/Short: Both.
- Exit Criteria: Opposite divergence signal.
- Stops: No.
- Default Values:
CandleType= 5 minuteFastLength= 5SlowLength= 34Lookback= 5UseEma= false
- Filters:
- Category: Indicator
- Direction: Both
- Indicators: Awesome Oscillator
- Stops: No
- Complexity: Intermediate
- Timeframe: Intraday
- Seasonality: No
- Neural networks: No
- Divergence: Yes
- Risk level: 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>
/// AO Divergence strategy.
/// Buys when AO crosses above zero, sells when AO crosses below zero.
/// Uses EMA as trend filter.
/// </summary>
public class AoDivergenceStrategy : Strategy
{
private readonly StrategyParam<int> _emaLength;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevAo;
private int _barIndex;
private int _lastTradeBar;
/// <summary>
/// EMA trend filter period.
/// </summary>
public int EmaLength
{
get => _emaLength.Value;
set => _emaLength.Value = value;
}
/// <summary>
/// Cooldown bars between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public AoDivergenceStrategy()
{
_emaLength = Param(nameof(EmaLength), 40)
.SetDisplay("EMA Length", "EMA trend filter period", "Indicator");
_cooldownBars = Param(nameof(CooldownBars), 380)
.SetDisplay("Cooldown Bars", "Bars between trades", "Trading");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).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();
_prevAo = 0;
_barIndex = 0;
_lastTradeBar = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var ema = new ExponentialMovingAverage { Length = EmaLength };
var ao = new AwesomeOscillator();
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ema, ao, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ema);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal emaValue, decimal aoValue)
{
if (candle.State != CandleStates.Finished)
return;
_barIndex++;
var cooldownOk = _barIndex - _lastTradeBar > CooldownBars;
// AO zero line crossover with EMA trend
var aoCrossUp = _prevAo <= 0 && aoValue > 0;
var aoCrossDown = _prevAo >= 0 && aoValue < 0;
if (aoCrossUp && candle.ClosePrice > emaValue && Position <= 0 && cooldownOk)
{
BuyMarket();
_lastTradeBar = _barIndex;
}
else if (aoCrossDown && candle.ClosePrice < emaValue && Position >= 0 && cooldownOk)
{
SellMarket();
_lastTradeBar = _barIndex;
}
_prevAo = aoValue;
}
}
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 CandleStates
from StockSharp.Algo.Indicators import ExponentialMovingAverage, AwesomeOscillator
from StockSharp.Algo.Strategies import Strategy
from datatype_extensions import *
class ao_divergence_strategy(Strategy):
"""
AO Divergence strategy.
Buys when AO crosses above zero with EMA uptrend, sells when AO crosses below zero with downtrend.
"""
def __init__(self):
super(ao_divergence_strategy, self).__init__()
self._ema_length = self.Param("EmaLength", 40) \
.SetDisplay("EMA Length", "EMA trend filter period", "Indicator")
self._cooldown_bars = self.Param("CooldownBars", 380) \
.SetDisplay("Cooldown Bars", "Bars between trades", "Trading")
self._candle_type = self.Param("CandleType", tf(1)) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_ao = 0.0
self._bar_index = 0
self._last_trade_bar = 0
@property
def EmaLength(self): return self._ema_length.Value
@EmaLength.setter
def EmaLength(self, v): self._ema_length.Value = v
@property
def CooldownBars(self): return self._cooldown_bars.Value
@CooldownBars.setter
def CooldownBars(self, v): self._cooldown_bars.Value = v
@property
def CandleType(self): return self._candle_type.Value
@CandleType.setter
def CandleType(self, v): self._candle_type.Value = v
def OnReseted(self):
super(ao_divergence_strategy, self).OnReseted()
self._prev_ao = 0.0
self._bar_index = 0
self._last_trade_bar = 0
def OnStarted2(self, time):
super(ao_divergence_strategy, self).OnStarted2(time)
ema = ExponentialMovingAverage()
ema.Length = self.EmaLength
ao = AwesomeOscillator()
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(ema, ao, self.ProcessCandle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ema)
self.DrawOwnTrades(area)
def ProcessCandle(self, candle, ema_value, ao_value):
if candle.State != CandleStates.Finished:
return
self._bar_index += 1
cooldown_ok = self._bar_index - self._last_trade_bar > self.CooldownBars
ao_cross_up = self._prev_ao <= 0 and ao_value > 0
ao_cross_down = self._prev_ao >= 0 and ao_value < 0
if ao_cross_up and float(candle.ClosePrice) > ema_value and self.Position <= 0 and cooldown_ok:
self.BuyMarket()
self._last_trade_bar = self._bar_index
elif ao_cross_down and float(candle.ClosePrice) < ema_value and self.Position >= 0 and cooldown_ok:
self.SellMarket()
self._last_trade_bar = self._bar_index
self._prev_ao = ao_value
def CreateClone(self):
"""!! REQUIRED!! Creates a new instance of the strategy."""
return ao_divergence_strategy()