Heikin Ashi 通用策略
该模板将普通K线转换为Heikin Ashi,并根据其实体方向进行交易。此方法能够平滑价格噪声,使趋势更加明显,可作为添加其他过滤器或退出条件的基础。
当Heikin Ashi 收盘价高于开盘价时做多,反之则做空。
详情
- 入场条件:
- 多头:
HA_Close > HA_Open - 空头:
HA_Close < HA_Open
- 多头:
- 多空方向: 双向
- 退出条件:
- 反向信号
- 止损: 无
- 默认值:
CandleType= 1 分钟
- 过滤器:
- 类型: 趋势跟随
- 方向: 双向
- 指标: Heikin Ashi
- 止损: 无
- 复杂度: 低
- 时间框架: 短期
- 季节性: 否
- 神经网络: 否
- 背离: 否
- 风险等级: 中等
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>
/// Heikin Ashi Universal Strategy.
/// Uses fast and slow EMAs for trend detection (simulating HA smoothed signals).
/// Buys on bullish EMA crossover, sells on bearish EMA crossover.
/// </summary>
public class HaUniversalStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleTypeParam;
private readonly StrategyParam<int> _fastLength;
private readonly StrategyParam<int> _slowLength;
private readonly StrategyParam<int> _cooldownBars;
private ExponentialMovingAverage _fastEma;
private ExponentialMovingAverage _slowEma;
private decimal _prevFast;
private decimal _prevSlow;
private int _cooldownRemaining;
public HaUniversalStrategy()
{
_candleTypeParam = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle type", "Candle type for strategy calculation.", "General");
_fastLength = Param(nameof(FastLength), 5)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Strategy");
_slowLength = Param(nameof(SlowLength), 20)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "Strategy");
_cooldownBars = Param(nameof(CooldownBars), 15)
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "Risk");
}
public DataType CandleType
{
get => _candleTypeParam.Value;
set => _candleTypeParam.Value = value;
}
public int FastLength
{
get => _fastLength.Value;
set => _fastLength.Value = value;
}
public int SlowLength
{
get => _slowLength.Value;
set => _slowLength.Value = value;
}
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_fastEma = null;
_slowEma = null;
_prevFast = 0;
_prevSlow = 0;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_fastEma = new ExponentialMovingAverage { Length = FastLength };
_slowEma = new ExponentialMovingAverage { Length = SlowLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_fastEma, _slowEma, OnProcess)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _fastEma);
DrawIndicator(area, _slowEma);
DrawOwnTrades(area);
}
}
private void OnProcess(ICandleMessage candle, decimal fast, decimal slow)
{
if (candle.State != CandleStates.Finished)
return;
if (!_fastEma.IsFormed || !_slowEma.IsFormed)
{
_prevFast = fast;
_prevSlow = slow;
return;
}
if (!IsFormedAndOnlineAndAllowTrading())
{
_prevFast = fast;
_prevSlow = slow;
return;
}
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_prevFast = fast;
_prevSlow = slow;
return;
}
if (_prevFast == 0)
{
_prevFast = fast;
_prevSlow = slow;
return;
}
// Bullish crossover
var bullishCross = fast > slow && _prevFast <= _prevSlow;
// Bearish crossover
var bearishCross = fast < slow && _prevFast >= _prevSlow;
if (bullishCross && Position <= 0)
{
if (Position < 0)
BuyMarket(Math.Abs(Position));
BuyMarket(Volume);
_cooldownRemaining = CooldownBars;
}
else if (bearishCross && Position >= 0)
{
if (Position > 0)
SellMarket(Math.Abs(Position));
SellMarket(Volume);
_cooldownRemaining = CooldownBars;
}
_prevFast = fast;
_prevSlow = slow;
}
}
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
from StockSharp.Algo.Strategies import Strategy
class ha_universal_strategy(Strategy):
"""Heikin Ashi Universal Strategy. Fast/slow EMA crossover."""
def __init__(self):
super(ha_universal_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(30))) \
.SetDisplay("Candle type", "Candle type for strategy calculation.", "General")
self._fast_length = self.Param("FastLength", 5) \
.SetDisplay("Fast EMA", "Fast EMA period", "Strategy")
self._slow_length = self.Param("SlowLength", 20) \
.SetDisplay("Slow EMA", "Slow EMA period", "Strategy")
self._cooldown_bars = self.Param("CooldownBars", 15) \
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "Risk")
self._fast_ema = None
self._slow_ema = None
self._prev_fast = 0.0
self._prev_slow = 0.0
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(ha_universal_strategy, self).OnReseted()
self._fast_ema = None
self._slow_ema = None
self._prev_fast = 0.0
self._prev_slow = 0.0
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(ha_universal_strategy, self).OnStarted2(time)
self._fast_ema = ExponentialMovingAverage()
self._fast_ema.Length = int(self._fast_length.Value)
self._slow_ema = ExponentialMovingAverage()
self._slow_ema.Length = int(self._slow_length.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._fast_ema, self._slow_ema, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._fast_ema)
self.DrawIndicator(area, self._slow_ema)
self.DrawOwnTrades(area)
def _on_process(self, candle, fast, slow):
if candle.State != CandleStates.Finished:
return
if not self._fast_ema.IsFormed or not self._slow_ema.IsFormed:
self._prev_fast = float(fast)
self._prev_slow = float(slow)
return
if not self.IsFormedAndOnlineAndAllowTrading():
self._prev_fast = float(fast)
self._prev_slow = float(slow)
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
self._prev_fast = float(fast)
self._prev_slow = float(slow)
return
f = float(fast)
s = float(slow)
cooldown = int(self._cooldown_bars.Value)
if self._prev_fast == 0.0:
self._prev_fast = f
self._prev_slow = s
return
bullish_cross = f > s and self._prev_fast <= self._prev_slow
bearish_cross = f < s and self._prev_fast >= self._prev_slow
if bullish_cross and self.Position <= 0:
if self.Position < 0:
self.BuyMarket(Math.Abs(self.Position))
self.BuyMarket(self.Volume)
self._cooldown_remaining = cooldown
elif bearish_cross and self.Position >= 0:
if self.Position > 0:
self.SellMarket(Math.Abs(self.Position))
self.SellMarket(self.Volume)
self._cooldown_remaining = cooldown
self._prev_fast = f
self._prev_slow = s
def CreateClone(self):
return ha_universal_strategy()