CCI VWAP 策略
该策略利用CCI指标与VWAP寻找日内反转。当CCI跌破CciOversold且价格低于VWAP时做多;当CCI升破CciOverbought且价格高于VWAP时做空。价格反向穿越VWAP时平仓。
测试表明年均收益约为 70%,该策略在股票市场表现最佳。
该方法适合喜欢在极端位置做反向交易的日内交易者,明确的止损有助于控制风险。
细节
- 入场条件:
- 多头:
CCI < CciOversold && Price < VWAP - 空头:
CCI > CciOverbought && Price > VWAP
- 多头:
- 多/空: 双向
- 离场条件:
- 多头: 价格上穿VWAP时平仓
- 空头: 价格下穿VWAP时平仓
- 止损: 是
- 默认值:
CciPeriod= 20CciOversold= -100CciOverbought= 100StopLossPercent= 2 -100和100是规则中CCI阈值的默认值。市场全天候交易,因此时段VWAP在每个UTC日重新开始,并按成交量加权每根K线的典型价格。与持仓方向相反的入场信号会反转持仓。CandleType= TimeSpan.FromMinutes(5)
- 过滤器:
- 类别: Mixed
- 方向: 双向
- 指标: CCI VWAP
- 止损: 是
- 复杂度: 中等
- 时间框架: 日内
- 季节性: 否
- 神经网络: 否
- 背离: 否
- 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>
/// CCI VWAP strategy.
/// The market trades around the clock, so the session VWAP restarts with each UTC day and weighs each candle's typical price by its volume.
/// CCI below CciOversold with a close below VWAP goes long and CCI above CciOverbought with a close above VWAP goes short,
/// reversing an opposite position. A long closes once price closes above VWAP and a short once it closes below, and a percent stop limits the loss.
/// </summary>
public class CciVwapStrategy : Strategy
{
private readonly StrategyParam<int> _cciPeriod;
private readonly StrategyParam<decimal> _cciOversold;
private readonly StrategyParam<decimal> _cciOverbought;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private DateTime? _day;
private decimal _cumulativePriceVolume;
private decimal _cumulativeVolume;
/// <summary>
/// Period of CCI.
/// </summary>
public int CciPeriod
{
get => _cciPeriod.Value;
set => _cciPeriod.Value = value;
}
/// <summary>
/// CCI level for longs.
/// </summary>
public decimal CciOversold
{
get => _cciOversold.Value;
set => _cciOversold.Value = value;
}
/// <summary>
/// CCI level for shorts.
/// </summary>
public decimal CciOverbought
{
get => _cciOverbought.Value;
set => _cciOverbought.Value = value;
}
/// <summary>
/// Stop loss percentage from entry price.
/// </summary>
public decimal StopLossPercent
{
get => _stopLossPercent.Value;
set => _stopLossPercent.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public CciVwapStrategy()
{
_cciPeriod = Param(nameof(CciPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("CCI Period", "Period of CCI", "Indicators");
_cciOversold = Param(nameof(CciOversold), -100m)
.SetDisplay("CCI Oversold", "CCI level for longs", "Indicators");
_cciOverbought = Param(nameof(CciOverbought), 100m)
.SetDisplay("CCI Overbought", "CCI level for shorts", "Indicators");
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetNotNegative()
.SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_day = null;
_cumulativePriceVolume = 0;
_cumulativeVolume = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_day = null;
_cumulativePriceVolume = 0;
_cumulativeVolume = 0;
var cci = new CommodityChannelIndex { Length = CciPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(cci, ProcessCandle)
.Start();
StartProtection(new Unit(), new Unit(StopLossPercent, UnitTypes.Percent), useMarketOrders: true, isLocalStop: true);
// The stop has to see prices between candles, not only at their close.
foreach (var field in new[] { Level1Fields.BestBidPrice, Level1Fields.BestAskPrice })
{
var quotes = new Subscription(DataType.Level1, Security);
quotes.MarketData.BuildField = field;
SubscribeLevel1(quotes).Bind(ObserveProtectionQuote).Start();
}
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
var oscillators = CreateChartArea();
if (oscillators != null)
{
DrawIndicator(oscillators, cci);
}
}
}
private void ObserveProtectionQuote(Level1ChangeMessage quote)
{
// The high-level handler activates native protection before this callback, also between signal bars.
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue cciValue)
{
if (candle.State != CandleStates.Finished)
return;
var day = candle.OpenTime.Date;
if (_day != day)
{
_day = day;
_cumulativePriceVolume = 0;
_cumulativeVolume = 0;
}
var typicalPrice = (candle.HighPrice + candle.LowPrice + candle.ClosePrice) / 3;
_cumulativePriceVolume += typicalPrice * candle.TotalVolume;
_cumulativeVolume += candle.TotalVolume;
if (!cciValue.IsFormed || _cumulativeVolume <= 0)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var cci = cciValue.GetValue<decimal>();
var vwap = _cumulativePriceVolume / _cumulativeVolume;
var close = candle.ClosePrice;
if (cci < CciOversold && close < vwap && Position <= 0)
BuyMarket(Volume + Math.Abs(Position));
else if (cci > CciOverbought && close > vwap && Position >= 0)
SellMarket(Volume + Math.Abs(Position));
else if (Position > 0 && close > vwap)
SellMarket(Position);
else if (Position < 0 && close < vwap)
BuyMarket(-Position);
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
clr.AddReference("StockSharp.BusinessEntities")
from System import TimeSpan, Decimal
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, Level1Fields
from StockSharp.BusinessEntities import Subscription
from StockSharp.Algo.Indicators import CommodityChannelIndex
from StockSharp.Algo.Strategies import Strategy
class cci_vwap_strategy(Strategy):
"""
CCI VWAP strategy.
The market trades around the clock, so the session VWAP restarts with each UTC day and weighs each candle's typical price by its volume.
CCI below CciOversold with a close below VWAP goes long and CCI above CciOverbought with a close above VWAP goes short,
reversing an opposite position. A long closes once price closes above VWAP and a short once it closes below, and a percent stop limits the loss.
"""
def __init__(self):
super(cci_vwap_strategy, self).__init__()
self._cci_period = self.Param("CciPeriod", 20).SetGreaterThanZero().SetDisplay("CCI Period", "Period of CCI", "Indicators")
self._cci_oversold = self.Param("CciOversold", -100.0).SetDisplay("CCI Oversold", "CCI level for longs", "Indicators")
self._cci_overbought = self.Param("CciOverbought", 100.0).SetDisplay("CCI Overbought", "CCI level for shorts", "Indicators")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative().SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._reset_state()
@property
def candle_type(self):
return self._candle_type.Value
def _reset_state(self):
self._day = None
self._cumulative_price_volume = Decimal(0)
self._cumulative_volume = Decimal(0)
def OnReseted(self):
super(cci_vwap_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(cci_vwap_strategy, self).OnStarted2(time)
self._reset_state()
cci = CommodityChannelIndex()
cci.Length = self._cci_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(cci, self._process_candle).Start()
self.StartProtection(Unit(), Unit(Decimal(self._stop_loss_percent.Value), UnitTypes.Percent), useMarketOrders=True, isLocalStop=True)
# The stop has to see prices between candles, not only at their close.
for field in (Level1Fields.BestBidPrice, Level1Fields.BestAskPrice):
quotes = Subscription(DataType.Level1, self.Security)
quotes.MarketData.BuildField = field
self.SubscribeLevel1(quotes).Bind(self._observe_protection_quote).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
oscillators = self.CreateChartArea()
if oscillators is not None:
self.DrawIndicator(oscillators, cci)
def _observe_protection_quote(self, quote):
# The high-level handler activates native protection before the callback, including between bars.
pass
def _process_candle(self, candle, cci_value):
if candle.State != CandleStates.Finished:
return
day = candle.OpenTime.Date
if self._day is None or self._day != day:
self._day = day
self._cumulative_price_volume = Decimal(0)
self._cumulative_volume = Decimal(0)
typical_price = (candle.HighPrice + candle.LowPrice + candle.ClosePrice) / Decimal(3)
self._cumulative_price_volume += typical_price * candle.TotalVolume
self._cumulative_volume += candle.TotalVolume
if not cci_value.IsFormed or self._cumulative_volume <= 0:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
cci = cci_value.GetValue[Decimal](None)
vwap = self._cumulative_price_volume / self._cumulative_volume
close = candle.ClosePrice
if cci < Decimal(self._cci_oversold.Value) and close < vwap and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
elif cci > Decimal(self._cci_overbought.Value) and close > vwap and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
elif self.Position > 0 and close > vwap:
self.SellMarket(self.Position)
elif self.Position < 0 and close < vwap:
self.BuyMarket(-self.Position)
def CreateClone(self):
return cci_vwap_strategy()