Grid Bot 策略
网格机器人把预设的价格区间划分为等距层级,并在其间的波动中交易。当价格向网格下半部移动时买入,回到上半部时卖出。该方法在边界清晰的盘整行情中表现良好。
策略没有方向性偏好,只根据价格与网格线的距离做出反应。
详情
- 入场条件:
- 多头: 价格触及下半部的网格线且无持仓
- 空头: 价格触及上半部的网格线且无持仓
- 多空方向: 双向
- 退出条件:
- 相反的入场信号关闭现有仓位
- 止损: 无
- 默认值:
UpperLimit= 48000LowerLimit= 45000GridCount= 10
- 过滤器:
- 类型: 区间交易
- 方向: 双向
- 指标: 价格水平
- 止损: 无
- 复杂度: 低
- 时间框架: 短期
- 季节性: 否
- 神经网络: 否
- 背离: 否
- 风险等级: 中等
namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
/// <summary>
/// Grid Bot Strategy.
/// Creates a dynamic grid around a moving average and trades grid crossings.
/// Buys when price crosses below a grid line, sells when price crosses above.
/// </summary>
public class GridBotStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleTypeParam;
private readonly StrategyParam<int> _maLength;
private readonly StrategyParam<int> _atrLength;
private readonly StrategyParam<int> _gridCount;
private readonly StrategyParam<decimal> _gridMultiplier;
private readonly StrategyParam<int> _cooldownBars;
private ExponentialMovingAverage _ma;
private AverageTrueRange _atr;
private decimal _prevClose;
private int _cooldownRemaining;
public GridBotStrategy()
{
_candleTypeParam = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle type", "Candle type for strategy calculation.", "General");
_maLength = Param(nameof(MALength), 50)
.SetGreaterThanZero()
.SetDisplay("MA Length", "Moving average for grid center", "Grid Settings");
_atrLength = Param(nameof(ATRLength), 14)
.SetGreaterThanZero()
.SetDisplay("ATR Length", "ATR period for grid spacing", "Grid Settings");
_gridCount = Param(nameof(GridCount), 3)
.SetDisplay("Grid Count", "Number of grid levels each side", "Grid Settings");
_gridMultiplier = Param(nameof(GridMultiplier), 0.5m)
.SetDisplay("Grid Multiplier", "ATR multiplier for grid spacing", "Grid Settings");
_cooldownBars = Param(nameof(CooldownBars), 20)
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "Risk");
}
public DataType CandleType
{
get => _candleTypeParam.Value;
set => _candleTypeParam.Value = value;
}
public int MALength
{
get => _maLength.Value;
set => _maLength.Value = value;
}
public int ATRLength
{
get => _atrLength.Value;
set => _atrLength.Value = value;
}
public int GridCount
{
get => _gridCount.Value;
set => _gridCount.Value = value;
}
public decimal GridMultiplier
{
get => _gridMultiplier.Value;
set => _gridMultiplier.Value = value;
}
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_ma = null;
_atr = null;
_prevClose = 0;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_ma = new ExponentialMovingAverage { Length = MALength };
_atr = new AverageTrueRange { Length = ATRLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_ma, _atr, OnProcess)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _ma);
DrawOwnTrades(area);
}
}
private void OnProcess(ICandleMessage candle, decimal maValue, decimal atrValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!_ma.IsFormed || !_atr.IsFormed)
{
_prevClose = candle.ClosePrice;
return;
}
if (!IsFormedAndOnlineAndAllowTrading())
{
_prevClose = candle.ClosePrice;
return;
}
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_prevClose = candle.ClosePrice;
return;
}
if (_prevClose == 0 || atrValue <= 0)
{
_prevClose = candle.ClosePrice;
return;
}
var close = candle.ClosePrice;
var gridSpacing = atrValue * GridMultiplier;
// Check grid crossings
for (var i = 1; i <= GridCount; i++)
{
var lowerGrid = maValue - gridSpacing * i;
var upperGrid = maValue + gridSpacing * i;
// Price crossed below a lower grid line - buy
if (_prevClose > lowerGrid && close <= lowerGrid && Position <= 0)
{
if (Position < 0)
BuyMarket(Math.Abs(Position));
BuyMarket(Volume);
_cooldownRemaining = CooldownBars;
_prevClose = close;
return;
}
// Price crossed above an upper grid line - sell
if (_prevClose < upperGrid && close >= upperGrid && Position >= 0)
{
if (Position > 0)
SellMarket(Math.Abs(Position));
SellMarket(Volume);
_cooldownRemaining = CooldownBars;
_prevClose = close;
return;
}
}
// Mean reversion exits at MA
if (Position > 0 && _prevClose < maValue && close >= maValue)
{
SellMarket(Math.Abs(Position));
_cooldownRemaining = CooldownBars;
}
else if (Position < 0 && _prevClose > maValue && close <= maValue)
{
BuyMarket(Math.Abs(Position));
_cooldownRemaining = CooldownBars;
}
_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, Math
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import ExponentialMovingAverage, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class grid_bot_strategy(Strategy):
"""Grid Bot Strategy. Dynamic grid around EMA with ATR spacing."""
def __init__(self):
super(grid_bot_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(30))) \
.SetDisplay("Candle type", "Candle type for strategy calculation.", "General")
self._ma_length = self.Param("MALength", 50) \
.SetDisplay("MA Length", "Moving average for grid center", "Grid Settings")
self._atr_length = self.Param("ATRLength", 14) \
.SetDisplay("ATR Length", "ATR period for grid spacing", "Grid Settings")
self._grid_count = self.Param("GridCount", 3) \
.SetDisplay("Grid Count", "Number of grid levels each side", "Grid Settings")
self._grid_multiplier = self.Param("GridMultiplier", 0.5) \
.SetDisplay("Grid Multiplier", "ATR multiplier for grid spacing", "Grid Settings")
self._cooldown_bars = self.Param("CooldownBars", 20) \
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "Risk")
self._ma = None
self._atr = None
self._prev_close = 0.0
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(grid_bot_strategy, self).OnReseted()
self._ma = None
self._atr = None
self._prev_close = 0.0
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(grid_bot_strategy, self).OnStarted2(time)
self._ma = ExponentialMovingAverage()
self._ma.Length = int(self._ma_length.Value)
self._atr = AverageTrueRange()
self._atr.Length = int(self._atr_length.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._ma, self._atr, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._ma)
self.DrawOwnTrades(area)
def _on_process(self, candle, ma_val, atr_val):
if candle.State != CandleStates.Finished:
return
if not self._ma.IsFormed or not self._atr.IsFormed:
self._prev_close = float(candle.ClosePrice)
return
if not self.IsFormedAndOnlineAndAllowTrading():
self._prev_close = float(candle.ClosePrice)
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
self._prev_close = float(candle.ClosePrice)
return
if self._prev_close == 0.0 or float(atr_val) <= 0:
self._prev_close = float(candle.ClosePrice)
return
close = float(candle.ClosePrice)
ma = float(ma_val)
atr = float(atr_val)
grid_mult = float(self._grid_multiplier.Value)
grid_count = int(self._grid_count.Value)
cooldown = int(self._cooldown_bars.Value)
grid_spacing = atr * grid_mult
for i in range(1, grid_count + 1):
lower_grid = ma - grid_spacing * i
upper_grid = ma + grid_spacing * i
if self._prev_close > lower_grid and close <= lower_grid and self.Position <= 0:
if self.Position < 0:
self.BuyMarket(Math.Abs(self.Position))
self.BuyMarket(self.Volume)
self._cooldown_remaining = cooldown
self._prev_close = close
return
if self._prev_close < upper_grid and close >= upper_grid and self.Position >= 0:
if self.Position > 0:
self.SellMarket(Math.Abs(self.Position))
self.SellMarket(self.Volume)
self._cooldown_remaining = cooldown
self._prev_close = close
return
# Mean reversion exits at MA
if self.Position > 0 and self._prev_close < ma and close >= ma:
self.SellMarket(Math.Abs(self.Position))
self._cooldown_remaining = cooldown
elif self.Position < 0 and self._prev_close > ma and close <= ma:
self.BuyMarket(Math.Abs(self.Position))
self._cooldown_remaining = cooldown
self._prev_close = close
def CreateClone(self):
return grid_bot_strategy()