Heikin Ashi 连续形态
该策略等待连续数根同色的Heikin Ashi蜡烛以确认动量。出现一系列上涨或下跌蜡烛后跟进,并在首根反向蜡烛或ATR止损时离场。由于Heikin Ashi平滑了价格数据,连续同色强调方向明确,ATR跟踪止损能在走势突然反转时保住利润。
测试表明年均收益约为 73%,该策略在加密市场表现最佳。
详情
- 入场条件: 基于 Heikin Ashi 信号
- 多空方向: 双向
- 退出条件: 反向信号或止损
- 止损: 是
- 默认值:
ConsecutiveCandles= 3StopLossPercent= 2mCandleType= TimeSpan.FromMinutes(5)
- 过滤器:
- 类型: 趋势
- 方向: 双向
- 指标: Heikin
- 止损: 是
- 复杂度: 基础
- 时间框架: 日内 (5m)
- 季节性: 无
- 神经网络: 无
- 背离: 无
- 风险等级: 中
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Strategy based on consecutive Heikin Ashi candles.
/// It enters long position after a sequence of bullish Heikin Ashi candles and
/// short position after a sequence of bearish Heikin Ashi candles.
/// </summary>
public class HeikinAshiConsecutiveStrategy : Strategy
{
private readonly StrategyParam<int> _consecutiveCandles;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
// State tracking
private int _bullishCount;
private int _bearishCount;
private decimal _prevHaOpen;
private decimal _prevHaClose;
private decimal _prevHaHigh;
private decimal _prevHaLow;
/// <summary>
/// Number of consecutive candles required for signal.
/// </summary>
public int ConsecutiveCandles
{
get => _consecutiveCandles.Value;
set => _consecutiveCandles.Value = value;
}
/// <summary>
/// Stop-loss percentage.
/// </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>
/// Initialize the Heikin Ashi Consecutive strategy.
/// </summary>
public HeikinAshiConsecutiveStrategy()
{
_consecutiveCandles = Param(nameof(ConsecutiveCandles), 7)
.SetDisplay("Consecutive Candles", "Number of consecutive candles required for signal", "Trading parameters")
.SetOptimize(5, 10, 1);
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetDisplay("Stop Loss (%)", "Stop loss as a percentage of entry price", "Risk parameters")
.SetOptimize(1, 3, 0.5m);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).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();
_bullishCount = default;
_bearishCount = default;
_prevHaOpen = default;
_prevHaClose = default;
_prevHaHigh = default;
_prevHaLow = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
// Create subscription
var subscription = SubscribeCandles(CandleType);
// We need to calculate Heikin-Ashi candles in the ProcessCandle handler
subscription
.Bind(ProcessCandle)
.Start();
// Setup chart visualization if available
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
// Start protection with stop loss
StartProtection(
takeProfit: null,
stopLoss: new Unit(StopLossPercent, UnitTypes.Percent)
);
}
private void ProcessCandle(ICandleMessage candle)
{
// Skip unfinished candles
if (candle.State != CandleStates.Finished)
return;
// Check if strategy is ready to trade
if (!IsFormedAndOnlineAndAllowTrading())
return;
// Calculate Heikin-Ashi values
decimal haOpen, haClose, haHigh, haLow;
if (_prevHaOpen == 0)
{
// First candle - initialize Heikin-Ashi values
haOpen = (candle.OpenPrice + candle.ClosePrice) / 2;
haClose = (candle.OpenPrice + candle.ClosePrice + candle.HighPrice + candle.LowPrice) / 4;
haHigh = candle.HighPrice;
haLow = candle.LowPrice;
}
else
{
// Calculate Heikin-Ashi values based on previous HA candle
haOpen = (_prevHaOpen + _prevHaClose) / 2;
haClose = (candle.OpenPrice + candle.ClosePrice + candle.HighPrice + candle.LowPrice) / 4;
haHigh = Math.Max(Math.Max(candle.HighPrice, haOpen), haClose);
haLow = Math.Min(Math.Min(candle.LowPrice, haOpen), haClose);
}
// Determine if Heikin-Ashi candle is bullish or bearish
var isBullish = haClose > haOpen;
var isBearish = haClose < haOpen;
// Update consecutive counts
if (isBullish)
{
_bullishCount++;
_bearishCount = 0;
}
else if (isBearish)
{
_bearishCount++;
_bullishCount = 0;
}
else
{
// Neutral candle (rare case) - reset both counts
_bullishCount = 0;
_bearishCount = 0;
}
// Trading logic - enter/reverse on consecutive candles
if (_bullishCount >= ConsecutiveCandles && Position <= 0)
{
// Enough consecutive bullish candles - Buy signal
var volume = Volume + Math.Abs(Position);
BuyMarket(volume);
}
else if (_bearishCount >= ConsecutiveCandles && Position >= 0)
{
// Enough consecutive bearish candles - Sell signal
var volume = Volume + Math.Abs(Position);
SellMarket(volume);
}
// Store current Heikin-Ashi values for next candle
_prevHaOpen = haOpen;
_prevHaClose = haClose;
_prevHaHigh = haHigh;
_prevHaLow = haLow;
}
}
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, Unit, UnitTypes
from StockSharp.Algo.Strategies import Strategy
class heikin_ashi_consecutive_strategy(Strategy):
def __init__(self):
super(heikin_ashi_consecutive_strategy, self).__init__()
self._consecutive_candles = self.Param("ConsecutiveCandles", 7) \
.SetDisplay("Consecutive Candles", "Number of consecutive candles required for signal", "Trading parameters")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0) \
.SetDisplay("Stop Loss (%)", "Stop loss as a percentage of entry price", "Risk parameters")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(30))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._bullish_count = 0
self._bearish_count = 0
self._prev_ha_open = 0.0
self._prev_ha_close = 0.0
self._prev_ha_high = 0.0
self._prev_ha_low = 0.0
@property
def ConsecutiveCandles(self):
return self._consecutive_candles.Value
@ConsecutiveCandles.setter
def ConsecutiveCandles(self, value):
self._consecutive_candles.Value = value
@property
def StopLossPercent(self):
return self._stop_loss_percent.Value
@StopLossPercent.setter
def StopLossPercent(self, value):
self._stop_loss_percent.Value = value
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
def OnStarted2(self, time):
super(heikin_ashi_consecutive_strategy, self).OnStarted2(time)
self._bullish_count = 0
self._bearish_count = 0
self._prev_ha_open = 0.0
self._prev_ha_close = 0.0
self._prev_ha_high = 0.0
self._prev_ha_low = 0.0
self.SubscribeCandles(self.CandleType) \
.Bind(self.ProcessCandle) \
.Start()
self.StartProtection(
takeProfit=None,
stopLoss=Unit(float(self.StopLossPercent), UnitTypes.Percent)
)
def ProcessCandle(self, candle):
if candle.State != CandleStates.Finished:
return
o = float(candle.OpenPrice)
c = float(candle.ClosePrice)
h = float(candle.HighPrice)
l = float(candle.LowPrice)
if self._prev_ha_open == 0:
ha_open = (o + c) / 2.0
ha_close = (o + c + h + l) / 4.0
ha_high = h
ha_low = l
else:
ha_open = (self._prev_ha_open + self._prev_ha_close) / 2.0
ha_close = (o + c + h + l) / 4.0
ha_high = max(max(h, ha_open), ha_close)
ha_low = min(min(l, ha_open), ha_close)
is_bullish = ha_close > ha_open
is_bearish = ha_close < ha_open
if is_bullish:
self._bullish_count += 1
self._bearish_count = 0
elif is_bearish:
self._bearish_count += 1
self._bullish_count = 0
else:
self._bullish_count = 0
self._bearish_count = 0
consec = int(self.ConsecutiveCandles)
if self._bullish_count >= consec and self.Position <= 0:
volume = self.Volume + Math.Abs(self.Position)
self.BuyMarket(volume)
elif self._bearish_count >= consec and self.Position >= 0:
volume = self.Volume + Math.Abs(self.Position)
self.SellMarket(volume)
self._prev_ha_open = ha_open
self._prev_ha_close = ha_close
self._prev_ha_high = ha_high
self._prev_ha_low = ha_low
def OnReseted(self):
super(heikin_ashi_consecutive_strategy, self).OnReseted()
self._bullish_count = 0
self._bearish_count = 0
self._prev_ha_open = 0.0
self._prev_ha_close = 0.0
self._prev_ha_high = 0.0
self._prev_ha_low = 0.0
def CreateClone(self):
return heikin_ashi_consecutive_strategy()