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VR Smart Grid Lite 均值网格策略
概述
VR Smart Grid Lite 是从原始 MetaTrader 5 智能交易系统移植而来的网格加仓策略。算法根据最近一根已完成 K 线的方向开仓,并在价格逆行时沿用马丁式的加仓方式构建仓位梯队。距离、手数以及出场逻辑都可以配置,以复现 MQL 版本的行为。
交易逻辑
- 每根 K 线收盘后检查其方向。
- 若 K 线收阳,当当前价格比所有买入仓位中的最低开仓价至少低
Order Step (pips) 时,可再开一个买入单。
- 若 K 线收阴,当当前价格比所有卖出仓位中的最高开仓价至少高
Order Step (pips) 时,可再开一个卖出单。
- 每个方向的第一笔交易使用
Start Volume 手数。随后的加仓会将该方向上最远仓位的手数翻倍,但不会超过 Max Volume。
- 当某个方向只有一笔仓位时,价格达到
Take Profit (pips) 距离后立即平仓。
- 当存在两笔或更多仓位时,按
Close Mode 决定退出方式:
- Average:价格触及最高和最低仓位的加权平均价加上
Minimal Profit (pips) 后,同时平掉这两笔仓位。
- PartialClose:价格达到目标时,完全平掉最低仓位,并按
Start Volume 手数部分平掉最高仓位。
风险控制
- 下单手数会根据品种的
MinVolume、MaxVolume 与 StepVolume 自动调整,避免被交易所拒单。
- 调用
StartProtection() 以确保在交易开始前启用 StockSharp 的账户保护机制。
参数
| 名称 |
说明 |
Take Profit (pips) |
单一仓位的止盈距离。 |
Start Volume |
每个方向首笔订单的手数。 |
Max Volume |
单笔订单的最大手数(0 表示不限制)。 |
Close Mode |
选择平均价出场或部分平仓模式。 |
Order Step (pips) |
价格逆行多少点后才会继续加仓。 |
Minimal Profit (pips) |
添加到平均价目标的额外利润缓冲。 |
Candle Type |
用于计算的 K 线数据类型。 |
说明
- 策略只使用市价单,通过在每根 K 线上评估条件来模拟原始 EA 的挂单逻辑。
- 代码维护每笔仓位的单独状态,从而支持类似 MetaTrader 的选定平仓与部分减仓行为。
- 请根据原始脚本的周期设置合适的 K 线类型和点值,以获得一致的测试结果。
namespace StockSharp.Samples.Strategies;
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
/// <summary>
/// VR Smart Grid Lite Averaging: grid with averaging approach using Bollinger Bands.
/// Buys near lower band, sells near upper band.
/// </summary>
public class VrSmartGridLiteAveragingStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _bbPeriod;
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public int BbPeriod
{
get => _bbPeriod.Value;
set => _bbPeriod.Value = value;
}
public VrSmartGridLiteAveragingStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
_bbPeriod = Param(nameof(BbPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("BB Period", "Bollinger Bands period", "Indicators");
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var bb = new BollingerBands { Length = BbPeriod };
decimal? prevClose = null;
decimal? prevMid = null;
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(bb, (candle, bbVal) =>
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var bbv = (BollingerBandsValue)bbVal;
if (bbv.UpBand is not decimal upper || bbv.LowBand is not decimal lower)
return;
var close = candle.ClosePrice;
var mid = (upper + lower) / 2m;
if (prevClose.HasValue && prevMid.HasValue)
{
var crossBelow = prevClose.Value >= prevMid.Value && close < mid;
var crossAbove = prevClose.Value <= prevMid.Value && close > mid;
if (crossBelow && Position <= 0)
BuyMarket();
else if (crossAbove && Position >= 0)
SellMarket();
}
prevClose = close;
prevMid = mid;
})
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, bb);
DrawOwnTrades(area);
}
}
}
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 BollingerBands
from StockSharp.Algo.Strategies import Strategy
from datatype_extensions import *
from indicator_extensions import *
class vr_smart_grid_lite_averaging_strategy(Strategy):
"""Bollinger Bands grid averaging: buy below midline, sell above midline."""
def __init__(self):
super(vr_smart_grid_lite_averaging_strategy, self).__init__()
self._bb_period = self.Param("BbPeriod", 20).SetGreaterThanZero().SetDisplay("BB Period", "Bollinger Bands period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(30))).SetDisplay("Candle Type", "Timeframe", "General")
@property
def CandleType(self): return self._candle_type.Value
@CandleType.setter
def CandleType(self, value): self._candle_type.Value = value
def OnReseted(self):
super(vr_smart_grid_lite_averaging_strategy, self).OnReseted()
self._prev_close = None
self._prev_mid = None
def OnStarted2(self, time):
super(vr_smart_grid_lite_averaging_strategy, self).OnStarted2(time)
self._prev_close = None
self._prev_mid = None
bb = BollingerBands()
bb.Length = self._bb_period.Value
sub = self.SubscribeCandles(self.CandleType)
sub.BindEx(bb, self.OnProcess).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, sub)
self.DrawIndicator(area, bb)
self.DrawOwnTrades(area)
def OnProcess(self, candle, bb_val):
if candle.State != CandleStates.Finished:
return
if not bb_val.IsFormed:
return
# Extract upper and lower bands
upper = None
lower = None
for key in bb_val.InnerValues:
name = str(key.Key.Name) if hasattr(key.Key, 'Name') else str(key.Key)
val = float(key.Value)
name_lower = name.lower()
if 'up' in name_lower:
upper = val
elif 'low' in name_lower or 'down' in name_lower:
lower = val
if upper is None or lower is None:
return
close = float(candle.ClosePrice)
mid = (upper + lower) / 2.0
if self._prev_close is not None and self._prev_mid is not None:
cross_below = self._prev_close >= self._prev_mid and close < mid
cross_above = self._prev_close <= self._prev_mid and close > mid
if cross_below and self.Position <= 0:
self.BuyMarket()
elif cross_above and self.Position >= 0:
self.SellMarket()
self._prev_close = close
self._prev_mid = mid
def CreateClone(self):
return vr_smart_grid_lite_averaging_strategy()