This strategy combines Hull Moving Averages, RSI, MACD, volume filter, and cumulative volume delta (CVD) divergence to identify trend opportunities.
Long positions open when HMA20 is above HMA50, RSI shows bullish momentum, MACD histogram rises, volume exceeds its average, and CVD forms bullish divergence or increases. Short positions mirror these conditions.
Details
Entry Criteria:
Long: HMA20 > HMA50 & price > HMA20; RSI between 40 and RsiOverbought; MACD line above signal & histogram rising; volume > SMA * VolumeMultiplier; bullish CVD divergence or increasing CVD.
Short: HMA20 < HMA50 & price < HMA20; RSI between RsiOversold and 60; MACD line below signal & histogram falling; volume > SMA * VolumeMultiplier; bearish CVD divergence or decreasing CVD.
Long/Short: Both sides.
Exit Criteria:
Long: Price < HMA20 or RSI > RsiOverbought or MACD line crosses below signal.
Short: Price > HMA20 or RSI < RsiOversold or MACD line crosses above signal.
Stops: No.
Default Values:
Hma20Length = 20
Hma50Length = 50
RsiLength = 14
RsiOverbought = 70
RsiOversold = 30
MacdFast = 12
MacdSlow = 26
MacdSignal = 9
VolumeMaLength = 20
VolumeMultiplier = 1.5
CvdLength = 14
DivergenceLookback = 5
CandleType = TimeSpan.FromMinutes(5)
Filters:
Category: Mixed
Direction: Both
Indicators: HMA, RSI, MACD, Volume, CVD
Stops: No
Complexity: Advanced
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>
/// CvdDivergenceVolumeHmaRsiMacdStrategy using EMA crossover for trend timing.
/// Enters long on golden cross, short on death cross.
/// </summary>
public class CvdDivergenceVolumeHmaRsiMacdStrategy : Strategy
{
private readonly StrategyParam<int> _fastEmaPeriod;
private readonly StrategyParam<int> _slowEmaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFastEma;
private decimal _prevSlowEma;
public int FastEmaPeriod { get => _fastEmaPeriod.Value; set => _fastEmaPeriod.Value = value; }
public int SlowEmaPeriod { get => _slowEmaPeriod.Value; set => _slowEmaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public CvdDivergenceVolumeHmaRsiMacdStrategy()
{
_fastEmaPeriod = Param(nameof(FastEmaPeriod), 120)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowEmaPeriod = Param(nameof(SlowEmaPeriod), 450)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
_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();
_prevFastEma = 0m;
_prevSlowEma = 0m;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastEma = new ExponentialMovingAverage { Length = FastEmaPeriod };
var slowEma = new ExponentialMovingAverage { Length = SlowEmaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fastEma, slowEma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fastEma);
DrawIndicator(area, slowEma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fastEmaValue, decimal slowEmaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (_prevFastEma == 0m || _prevSlowEma == 0m)
{
_prevFastEma = fastEmaValue;
_prevSlowEma = slowEmaValue;
return;
}
if (_prevFastEma <= _prevSlowEma && fastEmaValue > slowEmaValue && Position <= 0)
{
BuyMarket();
}
else if (_prevFastEma >= _prevSlowEma && fastEmaValue < slowEmaValue && Position >= 0)
{
SellMarket();
}
_prevFastEma = fastEmaValue;
_prevSlowEma = slowEmaValue;
}
}
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 ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class cvd_divergence_volume_hma_rsi_macd_strategy(Strategy):
"""
EMA crossover strategy. Enters long on golden cross, short on death cross.
"""
def __init__(self):
super(cvd_divergence_volume_hma_rsi_macd_strategy, self).__init__()
self._fast_ema_period = self.Param("FastEmaPeriod", 120) .SetDisplay("Fast EMA", "Fast EMA period", "Indicators")
self._slow_ema_period = self.Param("SlowEmaPeriod", 450) .SetDisplay("Slow EMA", "Slow EMA period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))) .SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_fast_ema = 0.0
self._prev_slow_ema = 0.0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(cvd_divergence_volume_hma_rsi_macd_strategy, self).OnReseted()
self._prev_fast_ema = 0.0
self._prev_slow_ema = 0.0
def OnStarted2(self, time):
super(cvd_divergence_volume_hma_rsi_macd_strategy, self).OnStarted2(time)
fast_ema = ExponentialMovingAverage()
fast_ema.Length = self._fast_ema_period.Value
slow_ema = ExponentialMovingAverage()
slow_ema.Length = self._slow_ema_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ema, slow_ema, self.on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast_ema)
self.DrawIndicator(area, slow_ema)
self.DrawOwnTrades(area)
def on_process(self, candle, fast_val, slow_val):
if candle.State != CandleStates.Finished:
return
if self._prev_fast_ema == 0.0 or self._prev_slow_ema == 0.0:
self._prev_fast_ema = fast_val
self._prev_slow_ema = slow_val
return
if self._prev_fast_ema <= self._prev_slow_ema and fast_val > slow_val and self.Position <= 0:
self.BuyMarket()
elif self._prev_fast_ema >= self._prev_slow_ema and fast_val < slow_val and self.Position >= 0:
self.SellMarket()
self._prev_fast_ema = fast_val
self._prev_slow_ema = slow_val
def CreateClone(self):
return cvd_divergence_volume_hma_rsi_macd_strategy()