四屏策略
四屏策略使用四个时间框架的 Heikin-Ashi 蜡烛:5、15、30 和 60 分钟。 当所有时间框架都是看涨蜡烛时做多,全部为看跌蜡烛时做空。 止损和止盈以点数设置,并可选择启用跟踪止损。
工作原理
- 订阅 5、15、30、60 分钟的蜡烛数据。
- 计算每根蜡烛的 Heikin-Ashi 开盘价和收盘价。
- 判断每个时间框架是看涨还是看跌。
- 当所有时间框架一致时进入多头或空头,并关闭反向持仓。
- 使用
StartProtection设置止损、止盈和可选的跟踪止损。
参数
CandleType– 5 分钟蜡烛的基础时间框架。StopLossPoints– 止损点数。TakeProfitPoints– 止盈点数。UseTrailing– 是否启用跟踪止损 (true/false)。
交易量由策略的 Volume 属性决定。
说明
- 使用高层 API:
SubscribeCandles和Bind。 - 仅处理已完成的蜡烛。
- 代码注释为英文。
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>
/// Strategy using Heikin-Ashi color with EMA filter.
/// Buys when HA turns bullish and price above EMA.
/// Sells when HA turns bearish and price below EMA.
/// </summary>
public class FourScreensStrategy : Strategy
{
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevHaOpen;
private decimal _prevHaClose;
private bool _prevIsBull;
private bool _hasPrev;
public int EmaPeriod { get => _emaPeriod.Value; set => _emaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public FourScreensStrategy()
{
_emaPeriod = Param(nameof(EmaPeriod), 50)
.SetGreaterThanZero()
.SetDisplay("EMA Period", "EMA trend filter period", "Indicator");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle type", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevHaOpen = 0;
_prevHaClose = 0;
_prevIsBull = false;
_hasPrev = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var ema = new ExponentialMovingAverage { Length = EmaPeriod };
SubscribeCandles(CandleType)
.Bind(ema, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal emaValue)
{
if (candle.State != CandleStates.Finished)
return;
// Calculate Heikin-Ashi
decimal haOpen;
decimal haClose;
if (_prevHaOpen == 0 && _prevHaClose == 0)
{
haOpen = (candle.OpenPrice + candle.ClosePrice) / 2m;
haClose = (candle.OpenPrice + candle.HighPrice + candle.LowPrice + candle.ClosePrice) / 4m;
}
else
{
haOpen = (_prevHaOpen + _prevHaClose) / 2m;
haClose = (candle.OpenPrice + candle.HighPrice + candle.LowPrice + candle.ClosePrice) / 4m;
}
var isBull = haClose > haOpen;
var close = candle.ClosePrice;
if (_hasPrev)
{
// Buy: HA turns bullish + price above EMA
if (isBull && !_prevIsBull && close > emaValue && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
// Sell: HA turns bearish + price below EMA
else if (!isBull && _prevIsBull && close < emaValue && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
}
_prevHaOpen = haOpen;
_prevHaClose = haClose;
_prevIsBull = isBull;
_hasPrev = true;
}
}
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 four_screens_strategy(Strategy):
def __init__(self):
super(four_screens_strategy, self).__init__()
self._ema_period = self.Param("EmaPeriod", 50) \
.SetDisplay("EMA Period", "EMA trend filter period", "Indicator")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle type", "General")
self._prev_ha_open = 0.0
self._prev_ha_close = 0.0
self._prev_is_bull = False
self._has_prev = False
@property
def EmaPeriod(self):
return self._ema_period.Value
@EmaPeriod.setter
def EmaPeriod(self, value):
self._ema_period.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(four_screens_strategy, self).OnStarted2(time)
ema = ExponentialMovingAverage()
ema.Length = self.EmaPeriod
self.SubscribeCandles(self.CandleType) \
.Bind(ema, self.ProcessCandle) \
.Start()
def ProcessCandle(self, candle, ema_value):
if candle.State != CandleStates.Finished:
return
ema_val = float(ema_value)
if self._prev_ha_open == 0.0 and self._prev_ha_close == 0.0:
ha_open = (float(candle.OpenPrice) + float(candle.ClosePrice)) / 2.0
ha_close = (float(candle.OpenPrice) + float(candle.HighPrice)
+ float(candle.LowPrice) + float(candle.ClosePrice)) / 4.0
else:
ha_open = (self._prev_ha_open + self._prev_ha_close) / 2.0
ha_close = (float(candle.OpenPrice) + float(candle.HighPrice)
+ float(candle.LowPrice) + float(candle.ClosePrice)) / 4.0
is_bull = ha_close > ha_open
close = float(candle.ClosePrice)
if self._has_prev:
if is_bull and not self._prev_is_bull and close > ema_val and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif not is_bull and self._prev_is_bull and close < ema_val and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_ha_open = ha_open
self._prev_ha_close = ha_close
self._prev_is_bull = is_bull
self._has_prev = True
def OnReseted(self):
super(four_screens_strategy, self).OnReseted()
self._prev_ha_open = 0.0
self._prev_ha_close = 0.0
self._prev_is_bull = False
self._has_prev = False
def CreateClone(self):
return four_screens_strategy()