基于肯特纳通道的网格策略
该策略根据价格相对肯特纳通道中均线的位置来调整持仓。当价格偏离均线时,策略通过网格化的市价单重新平衡仓位。
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>
/// Keltner Channel based grid rebalancing strategy.
/// </summary>
public class KeltnerChannelBasedGridStrategy : Strategy
{
private readonly StrategyParam<int> _length;
private readonly StrategyParam<decimal> _gridCoefficient;
private readonly StrategyParam<int> _numGrids;
private readonly StrategyParam<bool> _useExponential;
private readonly StrategyParam<int> _maxRebalances;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<DataType> _candleType;
private int _rebalanceCount;
private int _barsSinceRebalance;
public int Length { get => _length.Value; set => _length.Value = value; }
public decimal GridCoefficient { get => _gridCoefficient.Value; set => _gridCoefficient.Value = value; }
public int NumGrids { get => _numGrids.Value; set => _numGrids.Value = value; }
public bool UseExponential { get => _useExponential.Value; set => _useExponential.Value = value; }
public int MaxRebalances { get => _maxRebalances.Value; set => _maxRebalances.Value = value; }
public int CooldownBars { get => _cooldownBars.Value; set => _cooldownBars.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public KeltnerChannelBasedGridStrategy()
{
_length = Param(nameof(Length), 10)
.SetGreaterThanZero()
.SetDisplay("Length", "MA and ATR period", "Keltner")
.SetOptimize(5, 20, 5);
_gridCoefficient = Param(nameof(GridCoefficient), 1.33m)
.SetGreaterThanZero()
.SetDisplay("Grid coeff", "Multiplier for channel width", "Keltner")
.SetOptimize(1m, 2m, 0.1m);
_numGrids = Param(nameof(NumGrids), 12)
.SetGreaterThanZero()
.SetDisplay("Grids", "Number of grid levels", "Strategy")
.SetOptimize(5, 20, 1);
_useExponential = Param(nameof(UseExponential), true)
.SetDisplay("Use EMA", "Use EMA instead of SMA", "Keltner");
_maxRebalances = Param(nameof(MaxRebalances), 45)
.SetGreaterThanZero()
.SetDisplay("Max Rebalances", "Maximum rebalance orders per run", "Risk");
_cooldownBars = Param(nameof(CooldownBars), 240)
.SetGreaterThanZero()
.SetDisplay("Cooldown Bars", "Minimum bars between rebalances", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle type", "Type of candles", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_rebalanceCount = 0;
_barsSinceRebalance = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_rebalanceCount = 0;
_barsSinceRebalance = CooldownBars;
IIndicator ma = UseExponential ? new EMA { Length = Length } : new SMA { Length = Length };
var atr = new AverageTrueRange { Length = Length };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(ma, atr, ProcessCandle).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ma);
DrawIndicator(area, atr);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal ma, decimal atrValue)
{
if (candle.State != CandleStates.Finished)
return;
_barsSinceRebalance++;
if (atrValue == 0)
return;
var bandWidth = atrValue * GridCoefficient;
var kcRate = (candle.ClosePrice - ma) / bandWidth;
var maxAmount = Portfolio?.CurrentValue / candle.ClosePrice ?? 0m;
var targetPosition = kcRate * maxAmount * -1m;
if (targetPosition > maxAmount)
targetPosition = maxAmount;
else if (targetPosition < -maxAmount)
targetPosition = -maxAmount;
var diff = Math.Abs(targetPosition - Position);
if (_rebalanceCount < MaxRebalances && _barsSinceRebalance >= CooldownBars && diff >= maxAmount / NumGrids)
{
if (targetPosition > Position)
BuyMarket(targetPosition - Position);
else if (targetPosition < Position)
SellMarket(Position - targetPosition);
_rebalanceCount++;
_barsSinceRebalance = 0;
}
}
}
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, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class keltner_channel_based_grid_strategy(Strategy):
def __init__(self):
super(keltner_channel_based_grid_strategy, self).__init__()
self._length = self.Param("Length", 10) \
.SetGreaterThanZero() \
.SetDisplay("Length", "MA and ATR period", "Keltner")
self._grid_coeff = self.Param("GridCoefficient", 1.33) \
.SetGreaterThanZero() \
.SetDisplay("Grid coeff", "Multiplier for channel width", "Keltner")
self._num_grids = self.Param("NumGrids", 12) \
.SetGreaterThanZero() \
.SetDisplay("Grids", "Number of grid levels", "Strategy")
self._max_rebalances = self.Param("MaxRebalances", 45) \
.SetGreaterThanZero() \
.SetDisplay("Max Rebalances", "Maximum rebalance orders per run", "Risk")
self._cooldown_bars = self.Param("CooldownBars", 240) \
.SetGreaterThanZero() \
.SetDisplay("Cooldown Bars", "Minimum bars between rebalances", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))) \
.SetDisplay("Candle type", "Type of candles", "General")
self._rebalance_count = 0
self._bars_since_rebalance = 0
@property
def candle_type(self):
return self._candle_type.Value
@candle_type.setter
def candle_type(self, value):
self._candle_type.Value = value
def OnReseted(self):
super(keltner_channel_based_grid_strategy, self).OnReseted()
self._rebalance_count = 0
self._bars_since_rebalance = 0
def OnStarted2(self, time):
super(keltner_channel_based_grid_strategy, self).OnStarted2(time)
self._rebalance_count = 0
self._bars_since_rebalance = self._cooldown_bars.Value
ma = ExponentialMovingAverage()
ma.Length = self._length.Value
atr = AverageTrueRange()
atr.Length = self._length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(ma, atr, self.OnProcess).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ma)
self.DrawOwnTrades(area)
def OnProcess(self, candle, ma_val, atr_val):
if candle.State != CandleStates.Finished:
return
self._bars_since_rebalance += 1
ma_v = float(ma_val)
atr_v = float(atr_val)
if atr_v == 0.0:
return
close = float(candle.ClosePrice)
gc = float(self._grid_coeff.Value)
band_width = atr_v * gc
kc_rate = (close - ma_v) / band_width
target_pos = -kc_rate
if self._rebalance_count < self._max_rebalances.Value and self._bars_since_rebalance >= self._cooldown_bars.Value:
if target_pos > 0 and self.Position <= 0:
self.BuyMarket()
self._rebalance_count += 1
self._bars_since_rebalance = 0
elif target_pos < 0 and self.Position >= 0:
self.SellMarket()
self._rebalance_count += 1
self._bars_since_rebalance = 0
def CreateClone(self):
return keltner_channel_based_grid_strategy()