SHE Kanskigor 策略
该日内策略每天只交易一次,依据前一日蜡烛的方向。在设定时间,若前一日收盘价低于开盘价则买入;若收盘价高于开盘价则卖出。使用固定点数的止盈和止损来控制风险,每天仅允许一笔交易。
细节
- 入场条件:在
StartTime比较前一日的开盘与收盘;open > close时买入,open < close时卖出 - 多/空:双向
- 离场条件:止盈或止损
- 止损:是
- 默认值:
Volume= 0.1StartTime= 00:05TakeProfit= 350StopLoss= 550
- 过滤器:
- 类别:反转
- 方向:双向
- 指标:无
- 止损:有
- 复杂度:基础
- 时间框架:日线
- 季节性:无
- 神经网络:无
- 背离:无
- 风险等级:中等
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 that trades based on consecutive same-direction candles with EMA filter.
/// </summary>
public class SheKanskigorStrategy : Strategy
{
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevOpen;
private decimal _prevClose;
private decimal _prevPrevOpen;
private decimal _prevPrevClose;
private int _candleCount;
public int EmaPeriod { get => _emaPeriod.Value; set => _emaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public SheKanskigorStrategy()
{
_emaPeriod = Param(nameof(EmaPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("EMA Period", "EMA period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle type", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_prevOpen = 0;
_prevClose = 0;
_prevPrevOpen = 0;
_prevPrevClose = 0;
_candleCount = 0;
}
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;
_candleCount++;
if (_candleCount < 3)
{
_prevPrevOpen = _prevOpen;
_prevPrevClose = _prevClose;
_prevOpen = candle.OpenPrice;
_prevClose = candle.ClosePrice;
return;
}
// Two consecutive bearish candles -> buy reversal (with EMA confirmation)
var twoBearish = _prevPrevOpen > _prevPrevClose && _prevOpen > _prevClose;
// Two consecutive bullish candles -> sell reversal
var twoBullish = _prevPrevOpen < _prevPrevClose && _prevOpen < _prevClose;
if (twoBearish && candle.ClosePrice > emaValue && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (twoBullish && candle.ClosePrice < emaValue && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevPrevOpen = _prevOpen;
_prevPrevClose = _prevClose;
_prevOpen = candle.OpenPrice;
_prevClose = candle.ClosePrice;
}
}
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 she_kanskigor_strategy(Strategy):
def __init__(self):
super(she_kanskigor_strategy, self).__init__()
self._ema_period = self.Param("EmaPeriod", 20) \
.SetDisplay("EMA Period", "EMA period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle type", "General")
self._prev_open = 0.0
self._prev_close = 0.0
self._prev_prev_open = 0.0
self._prev_prev_close = 0.0
self._candle_count = 0
@property
def ema_period(self):
return self._ema_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(she_kanskigor_strategy, self).OnReseted()
self._prev_open = 0.0
self._prev_close = 0.0
self._prev_prev_open = 0.0
self._prev_prev_close = 0.0
self._candle_count = 0
def OnStarted2(self, time):
super(she_kanskigor_strategy, self).OnStarted2(time)
ema = ExponentialMovingAverage()
ema.Length = self.ema_period
self.SubscribeCandles(self.candle_type).Bind(ema, self.process_candle).Start()
def process_candle(self, candle, ema_value):
if candle.State != CandleStates.Finished:
return
self._candle_count += 1
if self._candle_count < 3:
self._prev_prev_open = self._prev_open
self._prev_prev_close = self._prev_close
self._prev_open = float(candle.OpenPrice)
self._prev_close = float(candle.ClosePrice)
return
ev = float(ema_value)
close = float(candle.ClosePrice)
two_bearish = self._prev_prev_open > self._prev_prev_close and self._prev_open > self._prev_close
two_bullish = self._prev_prev_open < self._prev_prev_close and self._prev_open < self._prev_close
if two_bearish and close > ev and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif two_bullish and close < ev and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_prev_open = self._prev_open
self._prev_prev_close = self._prev_close
self._prev_open = float(candle.OpenPrice)
self._prev_close = float(candle.ClosePrice)
def CreateClone(self):
return she_kanskigor_strategy()