Double Top Pattern
Double Top identifies two peaks separated by a number of bars with similar prices. After the second peak forms, a bearish candle confirms the reversal.
Testing indicates an average annual return of about 58%. It performs best in the stocks market.
The strategy sells short upon confirmation with a stop above the pattern highs, aiming to profit from a trend change after buyers are exhausted.
Positions are closed via stop-loss or discretionary targets.
Details
- Entry Criteria: Two tops within
SimilarityPercentafterDistancebars. - Long/Short: Short only.
- Exit Criteria: Price rallies or stop-loss.
- Stops: Yes.
- Default Values:
Distance= 5SimilarityPercent= 2.0mCandleType= TimeSpan.FromMinutes(15)StopLossPercent= 1.0m
- Filters:
- Category: Pattern
- Direction: Short
- Indicators: Price Action
- Stops: Yes
- 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>
/// Double Top reversal strategy.
/// Detects two similar tops and enters short on confirmation.
/// Uses SMA for exit signal.
/// </summary>
public class DoubleTopStrategy : Strategy
{
private readonly StrategyParam<int> _distanceParam;
private readonly StrategyParam<decimal> _similarityPercent;
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private decimal _recentHigh;
private decimal _prevHigh;
private int _barsSinceHigh;
private int _cooldown;
/// <summary>
/// Distance between tops in bars.
/// </summary>
public int Distance
{
get => _distanceParam.Value;
set => _distanceParam.Value = value;
}
/// <summary>
/// Maximum percent difference between two tops.
/// </summary>
public decimal SimilarityPercent
{
get => _similarityPercent.Value;
set => _similarityPercent.Value = value;
}
/// <summary>
/// MA Period for exit.
/// </summary>
public int MAPeriod
{
get => _maPeriod.Value;
set => _maPeriod.Value = value;
}
/// <summary>
/// Type of candles to use.
/// </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>
/// Initializes a new instance of <see cref="DoubleTopStrategy"/>.
/// </summary>
public DoubleTopStrategy()
{
_distanceParam = Param(nameof(Distance), 20)
.SetRange(3, 100)
.SetDisplay("Distance", "Bars between tops", "Pattern");
_similarityPercent = Param(nameof(SimilarityPercent), 1.0m)
.SetRange(0.1m, 5.0m)
.SetDisplay("Similarity %", "Max % diff between tops", "Pattern");
_maPeriod = Param(nameof(MAPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("MA Period", "Period for exit SMA", "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();
_recentHigh = default;
_prevHigh = default;
_barsSinceHigh = default;
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_recentHigh = 0;
_prevHigh = 0;
_barsSinceHigh = 0;
_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;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_cooldown > 0)
{
_cooldown--;
TrackHighs(candle);
return;
}
// Track new highs
if (_recentHigh == 0 || candle.HighPrice > _recentHigh)
{
if (_recentHigh > 0)
_prevHigh = _recentHigh;
_recentHigh = candle.HighPrice;
_barsSinceHigh = 0;
}
else
{
_barsSinceHigh++;
}
if (Position == 0 && _prevHigh > 0 && _barsSinceHigh >= Distance)
{
var priceDiff = Math.Abs((_recentHigh - _prevHigh) / _prevHigh * 100);
if (priceDiff <= SimilarityPercent && candle.ClosePrice < smaValue)
{
SellMarket();
_cooldown = CooldownBars;
_recentHigh = 0;
_prevHigh = 0;
}
else if (priceDiff <= SimilarityPercent && candle.ClosePrice > smaValue)
{
BuyMarket();
_cooldown = CooldownBars;
_recentHigh = 0;
_prevHigh = 0;
}
}
else if (Position > 0 && candle.ClosePrice < smaValue)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position < 0 && candle.ClosePrice > smaValue)
{
BuyMarket();
_cooldown = CooldownBars;
}
}
private void TrackHighs(ICandleMessage candle)
{
if (_recentHigh == 0 || candle.HighPrice > _recentHigh)
{
if (_recentHigh > 0)
_prevHigh = _recentHigh;
_recentHigh = candle.HighPrice;
_barsSinceHigh = 0;
}
else
{
_barsSinceHigh++;
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class double_top_strategy(Strategy):
"""
Double Top reversal strategy.
Detects two similar tops and enters short on confirmation.
Uses SMA for exit signal.
"""
def __init__(self):
super(double_top_strategy, self).__init__()
self._distance = self.Param("Distance", 20).SetDisplay("Distance", "Bars between tops", "Pattern")
self._similarity_pct = self.Param("SimilarityPercent", 1.0).SetDisplay("Similarity %", "Max % diff between tops", "Pattern")
self._ma_period = self.Param("MAPeriod", 20).SetDisplay("MA Period", "Period for exit SMA", "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._recent_high = 0.0
self._prev_high = 0.0
self._bars_since_high = 0
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(double_top_strategy, self).OnReseted()
self._recent_high = 0.0
self._prev_high = 0.0
self._bars_since_high = 0
self._cooldown = 0
def OnStarted2(self, time):
super(double_top_strategy, self).OnStarted2(time)
self._recent_high = 0.0
self._prev_high = 0.0
self._bars_since_high = 0
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 _track_highs(self, candle):
high = float(candle.HighPrice)
if self._recent_high == 0 or high > self._recent_high:
if self._recent_high > 0:
self._prev_high = self._recent_high
self._recent_high = high
self._bars_since_high = 0
else:
self._bars_since_high += 1
def _process_candle(self, candle, sma_val):
if candle.State != CandleStates.Finished:
return
if self._cooldown > 0:
self._cooldown -= 1
self._track_highs(candle)
return
# Track new highs
high = float(candle.HighPrice)
if self._recent_high == 0 or high > self._recent_high:
if self._recent_high > 0:
self._prev_high = self._recent_high
self._recent_high = high
self._bars_since_high = 0
else:
self._bars_since_high += 1
close = float(candle.ClosePrice)
sv = float(sma_val)
cd = self._cooldown_bars.Value
dist = self._distance.Value
sim = float(self._similarity_pct.Value)
if self.Position == 0 and self._prev_high > 0 and self._bars_since_high >= dist:
price_diff = abs((self._recent_high - self._prev_high) / self._prev_high * 100.0)
if price_diff <= sim and close < sv:
self.SellMarket()
self._cooldown = cd
self._recent_high = 0.0
self._prev_high = 0.0
elif price_diff <= sim and close > sv:
self.BuyMarket()
self._cooldown = cd
self._recent_high = 0.0
self._prev_high = 0.0
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 double_top_strategy()