Optimized Heikin-Ashi Strategy with Buy/Sell Options
Heikin-Ashi candles smooth price data and highlight trend direction. This strategy trades a single direction at a time: either longs on green candles or shorts on red ones within a user-defined date range. Optional stop-loss and take-profit levels provide risk control.
Details
- Entry Criteria: Heikin-Ashi candle color change.
- Long/Short: Configurable.
- Exit Criteria: Opposite signal or stop levels.
- Stops: Optional, percentage based.
- Default Values:
CandleType= 1 dayStartDate= 2023-01-01EndDate= 2024-01-01TradeType= BuyOnlyUseStopLoss= trueStopLossPercent= 2UseTakeProfit= trueTakeProfitPercent= 4
- Filters:
- Category: Trend
- Direction: Configurable
- Indicators: Heikin-Ashi
- Stops: Optional
- Complexity: Basic
- Timeframe: Daily
- Seasonality: Date range
- Neural Networks: No
- Divergence: No
- Risk Level: Medium
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Heikin-Ashi strategy with EMA trend filter.
/// </summary>
public class OptimizedHeikinAshiBuySellStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _emaLength;
private decimal _prevHaOpen;
private decimal _prevHaClose;
private bool _haInit;
private bool _prevBullish;
private bool _prevBearish;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int EmaLength { get => _emaLength.Value; set => _emaLength.Value = value; }
public OptimizedHeikinAshiBuySellStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame());
_emaLength = Param(nameof(EmaLength), 50).SetGreaterThanZero();
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevHaOpen = 0;
_prevHaClose = 0;
_haInit = false;
_prevBullish = false;
_prevBearish = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevHaOpen = 0;
_prevHaClose = 0;
_haInit = false;
_prevBullish = false;
_prevBearish = false;
var ema = new ExponentialMovingAverage { Length = EmaLength };
var lastSignal = DateTimeOffset.MinValue;
var cooldown = TimeSpan.FromMinutes(600);
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ema, (candle, emaVal) =>
{
if (candle.State != CandleStates.Finished)
return;
if (!ema.IsFormed)
return;
decimal haOpen;
decimal haClose;
if (!_haInit)
{
haOpen = (candle.OpenPrice + candle.ClosePrice) / 2m;
haClose = (candle.OpenPrice + candle.HighPrice + candle.LowPrice + candle.ClosePrice) / 4m;
_prevHaOpen = haOpen;
_prevHaClose = haClose;
_haInit = true;
_prevBullish = haClose > haOpen;
_prevBearish = haClose < haOpen;
return;
}
haOpen = (_prevHaOpen + _prevHaClose) / 2m;
haClose = (candle.OpenPrice + candle.HighPrice + candle.LowPrice + candle.ClosePrice) / 4m;
var isBullish = haClose > haOpen;
var isBearish = haClose < haOpen;
if (candle.OpenTime - lastSignal >= cooldown)
{
// Transition from bearish to bullish + above EMA
if (!_prevBullish && isBullish && candle.ClosePrice > emaVal && Position <= 0)
{
BuyMarket();
lastSignal = candle.OpenTime;
}
// Transition from bullish to bearish + below EMA
else if (!_prevBearish && isBearish && candle.ClosePrice < emaVal && Position >= 0)
{
SellMarket();
lastSignal = candle.OpenTime;
}
}
_prevHaOpen = haOpen;
_prevHaClose = haClose;
_prevBullish = isBullish;
_prevBearish = isBearish;
})
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ema);
DrawOwnTrades(area);
}
}
}
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 optimized_heikin_ashi_buy_sell_strategy(Strategy):
def __init__(self):
super(optimized_heikin_ashi_buy_sell_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5)))
self._ema_length = self.Param("EmaLength", 50) \
.SetGreaterThanZero()
self._prev_ha_open = 0.0
self._prev_ha_close = 0.0
self._ha_init = False
self._prev_bullish = False
self._prev_bearish = False
self._last_signal_ticks = 0
@property
def candle_type(self):
return self._candle_type.Value
@candle_type.setter
def candle_type(self, value):
self._candle_type.Value = value
def OnReseted(self):
super(optimized_heikin_ashi_buy_sell_strategy, self).OnReseted()
self._prev_ha_open = 0.0
self._prev_ha_close = 0.0
self._ha_init = False
self._prev_bullish = False
self._prev_bearish = False
self._last_signal_ticks = 0
def OnStarted2(self, time):
super(optimized_heikin_ashi_buy_sell_strategy, self).OnStarted2(time)
self._prev_ha_open = 0.0
self._prev_ha_close = 0.0
self._ha_init = False
self._prev_bullish = False
self._prev_bearish = False
self._last_signal_ticks = 0
self._ema = ExponentialMovingAverage()
self._ema.Length = self._ema_length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._ema, self.OnProcess).Start()
def OnProcess(self, candle, ema_val):
if candle.State != CandleStates.Finished:
return
if not self._ema.IsFormed:
return
ev = float(ema_val)
o = float(candle.OpenPrice)
h = float(candle.HighPrice)
l = float(candle.LowPrice)
c = float(candle.ClosePrice)
if not self._ha_init:
ha_open = (o + c) / 2.0
ha_close = (o + h + l + c) / 4.0
self._prev_ha_open = ha_open
self._prev_ha_close = ha_close
self._ha_init = True
self._prev_bullish = ha_close > ha_open
self._prev_bearish = ha_close < ha_open
return
ha_open = (self._prev_ha_open + self._prev_ha_close) / 2.0
ha_close = (o + h + l + c) / 4.0
is_bullish = ha_close > ha_open
is_bearish = ha_close < ha_open
cooldown_ticks = TimeSpan.FromMinutes(600).Ticks
current_ticks = candle.OpenTime.Ticks
if current_ticks - self._last_signal_ticks >= cooldown_ticks:
if not self._prev_bullish and is_bullish and c > ev and self.Position <= 0:
self.BuyMarket()
self._last_signal_ticks = current_ticks
elif not self._prev_bearish and is_bearish and c < ev and self.Position >= 0:
self.SellMarket()
self._last_signal_ticks = current_ticks
self._prev_ha_open = ha_open
self._prev_ha_close = ha_close
self._prev_bullish = is_bullish
self._prev_bearish = is_bearish
def CreateClone(self):
return optimized_heikin_ashi_buy_sell_strategy()