The Three White Soldiers pattern is a classic bullish reversal consisting of three consecutive strong up candles.
After a downtrend, this sequence often marks the start of a sustained move higher as buying pressure overwhelms sellers.
Testing indicates an average annual return of about 175%. It performs best in the stocks market.
The strategy enters long once the third soldier forms, expecting follow-through from the surge in momentum.
Short trades are not taken because the setup is purely bullish, but the system does allow exiting short positions initiated by other methods.
Stops are placed a short distance below the pattern to guard against false signals and positions exit if price closes back below that level.
Details
Entry Criteria: pattern match
Long/Short: Both
Exit Criteria: stop-loss or opposite signal
Stops: Yes, percent based
Default Values:
CandleType = 15 minute
StopLossPercent = 2
The strategy only buys. The stop lies StopLossPercent below the lowest low of the pattern and the position closes when a candle closes below it.
Filters:
Category: Pattern
Direction: Both
Indicators: Candlestick
Stops: Yes
Complexity: Intermediate
Timeframe: Intraday
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>
/// Three White Soldiers strategy.
/// While flat it buys after three bullish candles in a row, each closing above the previous close.
/// The stop lies StopLossPercent below the pattern's lowest low, and a close beyond it closes the position.
/// </summary>
public class ThreeWhiteSoldiersStrategy : Strategy
{
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private readonly List<ICandleMessage> _candles = [];
private decimal _stopPrice;
/// <summary>
/// Distance of the stop beyond the pattern, in percent.
/// </summary>
public decimal StopLossPercent
{
get => _stopLossPercent.Value;
set => _stopLossPercent.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public ThreeWhiteSoldiersStrategy()
{
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetNotNegative()
.SetDisplay("Stop Loss %", "Distance of the stop beyond the pattern, in percent", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).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();
_candles.Clear();
_stopPrice = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_candles.Clear();
_stopPrice = default;
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
_candles.Add(candle);
if (_candles.Count > 3)
_candles.RemoveAt(0);
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (Position > 0)
{
if (candle.ClosePrice <= _stopPrice)
SellMarket(Position);
return;
}
if (Position != 0 || _candles.Count < 3)
return;
var c0 = _candles[0];
var c1 = _candles[1];
var c2 = _candles[2];
if (!(c0.ClosePrice > c0.OpenPrice && c1.ClosePrice > c1.OpenPrice && c2.ClosePrice > c2.OpenPrice && c1.ClosePrice > c0.ClosePrice && c2.ClosePrice > c1.ClosePrice))
return;
BuyMarket(Volume);
_stopPrice = Math.Min(Math.Min(c0.LowPrice, c1.LowPrice), c2.LowPrice) * (1 - StopLossPercent / 100m);
}
}
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, Decimal
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Strategies import Strategy
class three_white_soldiers_strategy(Strategy):
"""
Three White Soldiers strategy.
While flat it buys after three bullish candles in a row, each closing above the previous close.
The stop lies StopLossPercent below the pattern's lowest low, and a close beyond it closes the position.
"""
def __init__(self):
super(three_white_soldiers_strategy, self).__init__()
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative().SetDisplay("Stop Loss %", "Distance of the stop beyond the pattern, in percent", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._candles = []
self._stop_price = Decimal(0)
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(three_white_soldiers_strategy, self).OnReseted()
self._candles = []
self._stop_price = Decimal(0)
def OnStarted2(self, time):
super(three_white_soldiers_strategy, self).OnStarted2(time)
self._candles = []
self._stop_price = Decimal(0)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def _process_candle(self, candle):
if candle.State != CandleStates.Finished:
return
self._candles.append(candle)
if len(self._candles) > 3:
self._candles.pop(0)
if not self.IsFormedAndOnlineAndAllowTrading():
return
if self.Position > 0:
if candle.ClosePrice <= self._stop_price:
self.SellMarket(self.Position)
return
if self.Position != 0 or len(self._candles) < 3:
return
c0, c1, c2 = self._candles
if not (c0.ClosePrice > c0.OpenPrice and c1.ClosePrice > c1.OpenPrice and c2.ClosePrice > c2.OpenPrice and c1.ClosePrice > c0.ClosePrice and c2.ClosePrice > c1.ClosePrice):
return
self.BuyMarket(self.Volume)
self._stop_price = min(c0.LowPrice, c1.LowPrice, c2.LowPrice) * (Decimal(1) - Decimal(self._stop_loss_percent.Value) / Decimal(100))
def CreateClone(self):
return three_white_soldiers_strategy()