Gann Swing Breakout
Strategy based on Gann Swing Breakout technique
Testing indicates an average annual return of about 82%. It performs best in the stocks market.
Gann Swing Breakout tracks swing highs and lows from Gann analysis. A breakout beyond the latest swing starts a trade in that direction and it stays open until an opposing swing is breached.
The method is designed for traders who view past swing points as important support and resistance. By trading the break, it attempts to ride the next leg of a trend.
Details
- Entry Criteria: Signals based on MA, Gann.
- Long/Short: Both directions.
- Exit Criteria: Opposite signal.
- Stops: No.
- Default Values:
SwingLookback= 5MaPeriod= 20CandleType= TimeSpan.FromMinutes(15)
- Filters:
- Category: Breakout
- Direction: Both
- Indicators: MA, Gann
- Stops: No
- Complexity: Basic
- Timeframe: Intraday (15m)
- Seasonality: No
- Neural Networks: No
- Divergence: No
- 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>
/// Strategy based on Gann Swing Breakout technique.
/// Uses Donchian channel breakouts with SMA trend filter.
/// Enters long when price breaks above channel high and is above SMA.
/// Enters short when price breaks below channel low and is below SMA.
/// </summary>
public class GannSwingBreakoutStrategy : Strategy
{
private readonly StrategyParam<int> _swingLookback;
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevChannelHigh;
private decimal _prevChannelLow;
private bool _hasPrevValues;
private int _candlesSinceLastTrade;
/// <summary>
/// Number of bars to identify swing points.
/// </summary>
public int SwingLookback
{
get => _swingLookback.Value;
set => _swingLookback.Value = value;
}
/// <summary>
/// Period for moving average calculation.
/// </summary>
public int MaPeriod
{
get => _maPeriod.Value;
set => _maPeriod.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initialize the Gann Swing Breakout strategy.
/// </summary>
public GannSwingBreakoutStrategy()
{
_swingLookback = Param(nameof(SwingLookback), 40)
.SetDisplay("Swing Lookback", "Lookback period for swing high/low", "Trading parameters")
.SetOptimize(20, 60, 10);
_maPeriod = Param(nameof(MaPeriod), 60)
.SetDisplay("MA Period", "Period for trend filter MA", "Indicators")
.SetOptimize(40, 80, 10);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).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();
_prevChannelHigh = default;
_prevChannelLow = default;
_hasPrevValues = default;
_candlesSinceLastTrade = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var donchian = new DonchianChannels { Length = SwingLookback };
var ma = new SimpleMovingAverage { Length = MaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(donchian, ma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue donchianValue, IIndicatorValue maValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (maValue is not { IsEmpty: false })
return;
var ma = maValue.GetValue<decimal>();
if (ma == 0)
return;
// Extract Donchian channel values
var dcValue = (IDonchianChannelsValue)donchianValue;
if (dcValue.UpperBand is not decimal channelHigh ||
dcValue.LowerBand is not decimal channelLow)
return;
if (channelHigh == 0 || channelLow == 0)
return;
if (!_hasPrevValues)
{
_hasPrevValues = true;
_prevChannelHigh = channelHigh;
_prevChannelLow = channelLow;
return;
}
_candlesSinceLastTrade++;
// Breakout above previous channel high + above MA = buy
if (_candlesSinceLastTrade >= 10 && candle.ClosePrice > _prevChannelHigh && candle.ClosePrice > ma && Position <= 0)
{
var volume = Volume + Math.Abs(Position);
BuyMarket(volume);
_candlesSinceLastTrade = 0;
}
// Breakout below previous channel low + below MA = sell
else if (_candlesSinceLastTrade >= 10 && candle.ClosePrice < _prevChannelLow && candle.ClosePrice < ma && Position >= 0)
{
var volume = Volume + Math.Abs(Position);
SellMarket(volume);
_candlesSinceLastTrade = 0;
}
_prevChannelHigh = channelHigh;
_prevChannelLow = channelLow;
}
}
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 gann_swing_breakout_strategy(Strategy):
"""
Gann Swing Breakout: Donchian channel breakout with SMA trend filter.
Buys when price breaks above previous channel high and is above SMA.
Sells when price breaks below previous channel low and is below SMA.
"""
def __init__(self):
super(gann_swing_breakout_strategy, self).__init__()
self._swing_lookback = self.Param("SwingLookback", 40) \
.SetDisplay("Swing Lookback", "Lookback period for swing high/low", "Trading parameters")
self._ma_period = self.Param("MaPeriod", 60) \
.SetDisplay("MA Period", "Period for trend filter MA", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_channel_high = 0.0
self._prev_channel_low = 0.0
self._has_prev_values = False
self._candles_since_last_trade = 0
self._highs = []
self._lows = []
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(gann_swing_breakout_strategy, self).OnReseted()
self._prev_channel_high = 0.0
self._prev_channel_low = 0.0
self._has_prev_values = False
self._candles_since_last_trade = 0
self._highs = []
self._lows = []
def OnStarted2(self, time):
super(gann_swing_breakout_strategy, self).OnStarted2(time)
ma = SimpleMovingAverage()
ma.Length = self._ma_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(ma, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ma)
self.DrawOwnTrades(area)
def _process_candle(self, candle, ma_value):
if candle.State != CandleStates.Finished:
return
ma = float(ma_value)
if ma == 0:
return
high = float(candle.HighPrice)
low = float(candle.LowPrice)
close = float(candle.ClosePrice)
lookback = self._swing_lookback.Value
self._highs.append(high)
self._lows.append(low)
while len(self._highs) > lookback:
self._highs.pop(0)
while len(self._lows) > lookback:
self._lows.pop(0)
if len(self._highs) < lookback:
return
channel_high = max(self._highs)
channel_low = min(self._lows)
if channel_high == 0 or channel_low == 0:
return
if not self._has_prev_values:
self._has_prev_values = True
self._prev_channel_high = channel_high
self._prev_channel_low = channel_low
return
self._candles_since_last_trade += 1
if self._candles_since_last_trade >= 10 and close > self._prev_channel_high and close > ma and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
self._candles_since_last_trade = 0
elif self._candles_since_last_trade >= 10 and close < self._prev_channel_low and close < ma and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
self._candles_since_last_trade = 0
self._prev_channel_high = channel_high
self._prev_channel_low = channel_low
def CreateClone(self):
return gann_swing_breakout_strategy()