VWAP 标准差通道策略(仅多头)
当价格跌破下方 VWAP 标准差通道时买入,达到盈利目标后平仓。
参数
- DevUp:上方标准差倍数。
- DevDown:下方标准差倍数。
- ProfitTarget:盈利目标(价格单位)。
- GapMinutes:下单间隔(分钟)。
- CandleType:蜡烛类型。
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// VWAP strategy with standard deviation bands, long only.
/// Calculates intraday VWAP and standard deviation bands.
/// Buys when price crosses below lower band, sells at profit target.
/// </summary>
public class VwapStdevBandsLongStrategy : Strategy
{
private readonly StrategyParam<decimal> _devDown;
private readonly StrategyParam<decimal> _profitPct;
private readonly StrategyParam<int> _gapMinutes;
private readonly StrategyParam<DataType> _candleType;
private DateTime _sessionDate;
private decimal _vwapSum;
private decimal _volSum;
private decimal _v2Sum;
private decimal _prevClose;
private decimal _prevLower;
private bool _hasPrev;
private decimal _lastEntryPrice;
private DateTimeOffset? _lastEntryTime;
public decimal DevDown { get => _devDown.Value; set => _devDown.Value = value; }
public decimal ProfitPct { get => _profitPct.Value; set => _profitPct.Value = value; }
public int GapMinutes { get => _gapMinutes.Value; set => _gapMinutes.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public VwapStdevBandsLongStrategy()
{
_devDown = Param(nameof(DevDown), 1.28m)
.SetGreaterThanZero()
.SetDisplay("Stdev Down", "Std dev below VWAP", "Parameters");
_profitPct = Param(nameof(ProfitPct), 0.3m)
.SetGreaterThanZero()
.SetDisplay("Profit %", "Profit target percent", "Parameters");
_gapMinutes = Param(nameof(GapMinutes), 15)
.SetDisplay("Gap Minutes", "Gap before new order", "Parameters");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
protected override void OnReseted()
{
base.OnReseted();
_sessionDate = default;
_vwapSum = 0;
_volSum = 0;
_v2Sum = 0;
_prevClose = 0;
_prevLower = 0;
_hasPrev = false;
_lastEntryPrice = 0;
_lastEntryTime = null;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var sma = new SimpleMovingAverage { Length = 2 };
_sessionDate = default;
_vwapSum = 0;
_volSum = 0;
_v2Sum = 0;
_prevClose = 0;
_prevLower = 0;
_hasPrev = false;
_lastEntryPrice = 0;
_lastEntryTime = null;
var subscription = SubscribeCandles(CandleType);
subscription.Bind(sma, ProcessCandle).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal _dummy)
{
if (candle.State != CandleStates.Finished)
return;
var date = candle.OpenTime.Date;
var volume = candle.TotalVolume;
var price = (candle.HighPrice + candle.LowPrice) / 2m;
if (date != _sessionDate)
{
_sessionDate = date;
_vwapSum = price * volume;
_volSum = volume;
_v2Sum = volume * price * price;
_hasPrev = false;
}
else
{
_vwapSum += price * volume;
_volSum += volume;
_v2Sum += volume * price * price;
}
if (_volSum == 0)
return;
var vwap = _vwapSum / _volSum;
var variance = _v2Sum / _volSum - vwap * vwap;
var dev = (decimal)Math.Sqrt((double)Math.Max(variance, 0m));
var lower = vwap - DevDown * dev;
var canEnter = !_lastEntryTime.HasValue || candle.OpenTime - _lastEntryTime >= TimeSpan.FromMinutes(GapMinutes);
var crossedLower = _hasPrev && _prevClose >= _prevLower && candle.ClosePrice < lower;
if (crossedLower && canEnter && Position <= 0)
{
BuyMarket();
_lastEntryPrice = candle.ClosePrice;
_lastEntryTime = candle.OpenTime;
}
// Profit target exit
if (Position > 0 && _lastEntryPrice > 0)
{
var target = _lastEntryPrice * (1 + ProfitPct / 100m);
if (candle.ClosePrice >= target)
{
SellMarket();
_lastEntryTime = null;
_lastEntryPrice = 0;
}
}
_prevClose = candle.ClosePrice;
_prevLower = lower;
_hasPrev = true;
}
}
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, DateTimeOffset
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class vwap_stdev_bands_long_strategy(Strategy):
def __init__(self):
super(vwap_stdev_bands_long_strategy, self).__init__()
self._dev_down = self.Param("DevDown", 1.28) \
.SetDisplay("Stdev Down", "Std dev below VWAP", "Parameters")
self._profit_pct = self.Param("ProfitPct", 0.3) \
.SetDisplay("Profit %", "Profit target percent", "Parameters")
self._gap_minutes = self.Param("GapMinutes", 15) \
.SetDisplay("Gap Minutes", "Gap before new order", "Parameters")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._session_date = None
self._vwap_sum = 0.0
self._vol_sum = 0.0
self._v2_sum = 0.0
self._prev_close = 0.0
self._prev_lower = 0.0
self._has_prev = False
self._last_entry_price = 0.0
self._last_entry_time = None
@property
def dev_down(self):
return self._dev_down.Value
@property
def profit_pct(self):
return self._profit_pct.Value
@property
def gap_minutes(self):
return self._gap_minutes.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(vwap_stdev_bands_long_strategy, self).OnReseted()
self._session_date = None
self._vwap_sum = 0.0
self._vol_sum = 0.0
self._v2_sum = 0.0
self._prev_close = 0.0
self._prev_lower = 0.0
self._has_prev = False
self._last_entry_price = 0.0
self._last_entry_time = None
def OnStarted2(self, time):
super(vwap_stdev_bands_long_strategy, self).OnStarted2(time)
sma = SimpleMovingAverage()
sma.Length = 2
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(sma, self.on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def on_process(self, candle, _dummy):
if candle.State != CandleStates.Finished:
return
date = candle.OpenTime.Date
volume = float(candle.TotalVolume)
price = (float(candle.HighPrice) + float(candle.LowPrice)) / 2.0
if date != self._session_date:
self._session_date = date
self._vwap_sum = price * volume
self._vol_sum = volume
self._v2_sum = volume * price * price
self._has_prev = False
else:
self._vwap_sum += price * volume
self._vol_sum += volume
self._v2_sum += volume * price * price
if self._vol_sum == 0:
return
vwap = self._vwap_sum / self._vol_sum
variance = self._v2_sum / self._vol_sum - vwap * vwap
dev = Math.Sqrt(float(max(variance, 0)))
lower = vwap - float(self.dev_down) * dev
close = float(candle.ClosePrice)
can_enter = self._last_entry_time is None or candle.OpenTime - self._last_entry_time >= TimeSpan.FromMinutes(int(self.gap_minutes))
crossed_lower = self._has_prev and self._prev_close >= self._prev_lower and close < lower
if crossed_lower and can_enter and self.Position <= 0:
self.BuyMarket()
self._last_entry_price = close
self._last_entry_time = candle.OpenTime
if self.Position > 0 and self._last_entry_price > 0:
target = self._last_entry_price * (1.0 + float(self.profit_pct) / 100.0)
if close >= target:
self.SellMarket()
self._last_entry_time = None
self._last_entry_price = 0.0
self._prev_close = close
self._prev_lower = lower
self._has_prev = True
def CreateClone(self):
return vwap_stdev_bands_long_strategy()