Vela Superada Strategy
The Vela Superada strategy trades a two-candle reversal pattern. A bullish setup occurs when a bearish candle is immediately followed by a bullish candle that closes above the prior open. Trades are filtered with a short-term EMA, RSI and MACD trend to avoid counter-trend signals. Both long and short sides can be enabled.
The strategy employs percentage-based take profit and stop loss levels and dynamically tightens a trailing stop once price moves favorably. This allows capturing extended moves while protecting against reversals.
Details
- Entry Criteria:
- Long: Previous candle bearish, current bullish, close and previous close above EMA, RSI < 65, MACD rising.
- Short: Previous candle bullish, current bearish, close and previous close below EMA, RSI > 35, MACD falling.
- Long/Short: Configurable (long by default).
- Exit Criteria:
- Trailing stop or opposite signal.
- Stops: Percent-based stop loss and take profit.
- Default Values:
EmaLength= 10RsiLength= 14ShowLong= TrueShowShort= FalseTpPercent= 1.2SlPercent= 1.8
- Filters:
- Category: Pattern + indicators
- Direction: Both
- Indicators: EMA, RSI, MACD
- Stops: Yes
- Complexity: Medium
- Timeframe: Any
- Seasonality: No
- Neural networks: No
- Divergence: Yes
- Risk level: Medium
namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
/// <summary>
/// Vela Superada Strategy.
/// Trades on candle pattern reversals with EMA, RSI and MACD filters.
/// Buys on bullish reversal pattern above EMA with rising MACD.
/// Sells on bearish reversal pattern below EMA with falling MACD.
/// </summary>
public class VelaSuperadaStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _emaLength;
private readonly StrategyParam<int> _rsiLength;
private readonly StrategyParam<int> _cooldownBars;
private ExponentialMovingAverage _ema;
private RelativeStrengthIndex _rsi;
private MovingAverageConvergenceDivergence _macd;
private decimal _prevClose;
private decimal _prevOpen;
private decimal _prevMacd;
private int _cooldownRemaining;
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public int EmaLength
{
get => _emaLength.Value;
set => _emaLength.Value = value;
}
public int RsiLength
{
get => _rsiLength.Value;
set => _rsiLength.Value = value;
}
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
public VelaSuperadaStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_emaLength = Param(nameof(EmaLength), 10)
.SetGreaterThanZero()
.SetDisplay("EMA Length", "EMA period", "Moving Averages");
_rsiLength = Param(nameof(RsiLength), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Length", "RSI period", "RSI");
_cooldownBars = Param(nameof(CooldownBars), 10)
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "Risk");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_ema = null;
_rsi = null;
_macd = null;
_prevClose = 0;
_prevOpen = 0;
_prevMacd = 0;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_ema = new ExponentialMovingAverage { Length = EmaLength };
_rsi = new RelativeStrengthIndex { Length = RsiLength };
_macd = new MovingAverageConvergenceDivergence();
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_ema, _rsi, _macd, OnProcess)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _ema);
DrawOwnTrades(area);
}
}
private void OnProcess(ICandleMessage candle, decimal emaVal, decimal rsiVal, decimal macdVal)
{
if (candle.State != CandleStates.Finished)
return;
if (!_ema.IsFormed || !_rsi.IsFormed || !_macd.IsFormed)
{
_prevClose = candle.ClosePrice;
_prevOpen = candle.OpenPrice;
_prevMacd = macdVal;
return;
}
if (!IsFormedAndOnlineAndAllowTrading())
{
_prevClose = candle.ClosePrice;
_prevOpen = candle.OpenPrice;
_prevMacd = macdVal;
return;
}
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_prevClose = candle.ClosePrice;
_prevOpen = candle.OpenPrice;
_prevMacd = macdVal;
return;
}
if (_prevClose == 0)
{
_prevClose = candle.ClosePrice;
_prevOpen = candle.OpenPrice;
_prevMacd = macdVal;
return;
}
// Candle pattern detection
var bullishReversal = _prevClose < _prevOpen && candle.ClosePrice > candle.OpenPrice; // Red->Green
var bearishReversal = _prevClose > _prevOpen && candle.ClosePrice < candle.OpenPrice; // Green->Red
// MACD momentum
var macdRising = macdVal > _prevMacd;
var macdFalling = macdVal < _prevMacd;
// Buy: bullish reversal + above EMA + RSI not overbought + MACD rising
if (bullishReversal && candle.ClosePrice > emaVal && rsiVal < 65 && macdRising && Position <= 0)
{
if (Position < 0)
BuyMarket(Math.Abs(Position));
BuyMarket(Volume);
_cooldownRemaining = CooldownBars;
}
// Sell: bearish reversal + below EMA + RSI not oversold + MACD falling
else if (bearishReversal && candle.ClosePrice < emaVal && rsiVal > 35 && macdFalling && Position >= 0)
{
if (Position > 0)
SellMarket(Math.Abs(Position));
SellMarket(Volume);
_cooldownRemaining = CooldownBars;
}
// Exit long: bearish reversal below EMA
else if (Position > 0 && bearishReversal && candle.ClosePrice < emaVal)
{
SellMarket(Math.Abs(Position));
_cooldownRemaining = CooldownBars;
}
// Exit short: bullish reversal above EMA
else if (Position < 0 && bullishReversal && candle.ClosePrice > emaVal)
{
BuyMarket(Math.Abs(Position));
_cooldownRemaining = CooldownBars;
}
_prevClose = candle.ClosePrice;
_prevOpen = candle.OpenPrice;
_prevMacd = macdVal;
}
}
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 ExponentialMovingAverage, RelativeStrengthIndex, MovingAverageConvergenceDivergence
from StockSharp.Algo.Strategies import Strategy
class vela_superada_strategy(Strategy):
"""Vela Superada Strategy."""
def __init__(self):
super(vela_superada_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(30))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._ema_length = self.Param("EmaLength", 10) \
.SetDisplay("EMA Length", "EMA period", "Moving Averages")
self._rsi_length = self.Param("RsiLength", 14) \
.SetDisplay("RSI Length", "RSI period", "RSI")
self._cooldown_bars = self.Param("CooldownBars", 10) \
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "Risk")
self._ema = None
self._rsi = None
self._macd = None
self._prev_close = 0.0
self._prev_open = 0.0
self._prev_macd = 0.0
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(vela_superada_strategy, self).OnReseted()
self._ema = None
self._rsi = None
self._macd = None
self._prev_close = 0.0
self._prev_open = 0.0
self._prev_macd = 0.0
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(vela_superada_strategy, self).OnStarted2(time)
self._ema = ExponentialMovingAverage()
self._ema.Length = int(self._ema_length.Value)
self._rsi = RelativeStrengthIndex()
self._rsi.Length = int(self._rsi_length.Value)
self._macd = MovingAverageConvergenceDivergence()
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._ema, self._rsi, self._macd, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._ema)
self.DrawOwnTrades(area)
def _on_process(self, candle, ema_val, rsi_val, macd_val):
if candle.State != CandleStates.Finished:
return
if not self._ema.IsFormed or not self._rsi.IsFormed or not self._macd.IsFormed:
self._prev_close = float(candle.ClosePrice)
self._prev_open = float(candle.OpenPrice)
self._prev_macd = float(macd_val)
return
if not self.IsFormedAndOnlineAndAllowTrading():
self._prev_close = float(candle.ClosePrice)
self._prev_open = float(candle.OpenPrice)
self._prev_macd = float(macd_val)
return
close = float(candle.ClosePrice)
open_price = float(candle.OpenPrice)
ema = float(ema_val)
rsi = float(rsi_val)
macd = float(macd_val)
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
self._prev_close = close
self._prev_open = open_price
self._prev_macd = macd
return
if self._prev_close == 0.0:
self._prev_close = close
self._prev_open = open_price
self._prev_macd = macd
return
cooldown = int(self._cooldown_bars.Value)
bullish_reversal = self._prev_close < self._prev_open and close > open_price
bearish_reversal = self._prev_close > self._prev_open and close < open_price
macd_rising = macd > self._prev_macd
macd_falling = macd < self._prev_macd
if bullish_reversal and close > ema and rsi < 65 and macd_rising and self.Position <= 0:
if self.Position < 0:
self.BuyMarket(Math.Abs(self.Position))
self.BuyMarket(self.Volume)
self._cooldown_remaining = cooldown
elif bearish_reversal and close < ema and rsi > 35 and macd_falling and self.Position >= 0:
if self.Position > 0:
self.SellMarket(Math.Abs(self.Position))
self.SellMarket(self.Volume)
self._cooldown_remaining = cooldown
elif self.Position > 0 and bearish_reversal and close < ema:
self.SellMarket(Math.Abs(self.Position))
self._cooldown_remaining = cooldown
elif self.Position < 0 and bullish_reversal and close > ema:
self.BuyMarket(Math.Abs(self.Position))
self._cooldown_remaining = cooldown
self._prev_close = close
self._prev_open = open_price
self._prev_macd = macd
def CreateClone(self):
return vela_superada_strategy()