VR Setka 网格策略
该策略在 StockSharp 中重现了 MetaTrader 4 的 "VR---SETKAa3hM" 网格系统。根据价格相对于当日高低点的百分比偏离来开启买入或卖出订单,可选地使用马丁加仓算法增加每笔订单的数量。策略跟踪所有订单的平均入场价,并在其基础上设置统一的止盈目标。
参数
Distance: 网格层之间的点数距离。TakeProfit: 第一个订单的止盈目标点数。Correction: 当存在多单时加到平均价格上的额外点数。SignalPercent: 用于判断价格偏离日内区间的百分比阈值。UseMartingale: 是否按马丁公式增加下单量。CandleType: 用于计算信号的K线周期。
逻辑
- 每当一根K线收盘后,计算收盘价相对于当日最高和最低价的位置。
- 如果前一根K线为阳线且收盘价位于日高附近,则开启或加仓买入网格。
- 如果前一根K线为阴线且收盘价位于日低附近,则开启或加仓卖出网格。
- 每当价格逆势运行
Distance点时加开一个订单。 - 当价格回到平均入场价并加上
Correction(买单)或减去Correction(卖单)时,使用市价单全部平仓。
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>
/// EMA trend + candle direction strategy (converted from grid).
/// </summary>
public class VrSetkaGridStrategy : Strategy
{
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevEma;
private decimal _prevClose;
private bool _hasPrev;
public int EmaPeriod { get => _emaPeriod.Value; set => _emaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public VrSetkaGridStrategy()
{
_emaPeriod = Param(nameof(EmaPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("EMA Period", "EMA period for trend", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Base candle series", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_prevEma = 0;
_prevClose = 0;
_hasPrev = false;
}
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;
var close = candle.ClosePrice;
if (!_hasPrev)
{
_prevEma = emaValue;
_prevClose = close;
_hasPrev = true;
return;
}
var crossUp = _prevClose <= _prevEma && close > emaValue;
var crossDown = _prevClose >= _prevEma && close < emaValue;
if (crossUp && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (crossDown && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevEma = emaValue;
_prevClose = close;
}
}
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 vr_setka_grid_strategy(Strategy):
def __init__(self):
super(vr_setka_grid_strategy, self).__init__()
self._ema_period = self.Param("EmaPeriod", 20) \
.SetDisplay("EMA Period", "EMA period for trend", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Base candle series", "General")
self._prev_ema = 0.0
self._prev_close = 0.0
self._has_prev = False
@property
def ema_period(self):
return self._ema_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(vr_setka_grid_strategy, self).OnReseted()
self._prev_ema = 0.0
self._prev_close = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(vr_setka_grid_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
close = float(candle.ClosePrice)
ev = float(ema_value)
if not self._has_prev:
self._prev_ema = ev
self._prev_close = close
self._has_prev = True
return
cross_up = self._prev_close <= self._prev_ema and close > ev
cross_down = self._prev_close >= self._prev_ema and close < ev
if cross_up and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif cross_down and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_ema = ev
self._prev_close = close
def CreateClone(self):
return vr_setka_grid_strategy()