开盘冲击策略
开盘冲击指市场在开盘瞬间就出现显著的单边走势,往往由隔夜消息驱动。 交易者在开盘几分钟内观察大量成交和持续动能。 策略在开盘区间内顺势进场,并随着价格延伸拖动止损。 如果动能迅速减弱则立即平仓,避免在震荡开盘中产生过大损失。
测试表明年均收益约为 118%,该策略在股票市场表现最佳。
细节
- 入场条件:指标信号
- 多/空:均可
- 退出条件:止损或反向信号
- 止损:是,按百分比
- 默认值:
CandleType= 15分钟StopLossPercent= 2VolumePeriod= 20 市场全天候交易,因此交易时段按UTC自然日计算。 当日第一根K线的成交量高于前VolumePeriod根K线的平均值时即为开盘驱动,策略在其收盘时顺势入场。第一根逆向收盘的K线平仓,百分比止损随价格移动。
- 过滤器:
- 类别:日内
- 方向:双向
- 指标:价格行为
- 止损:有
- 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 System.Linq;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Open Drive strategy.
/// The market trades around the clock, so the session is the UTC day.
/// The first candle of each UTC day is the opening drive when its volume exceeds the average of the previous VolumePeriod candles;
/// the strategy joins its direction at its close. The position closes on the first candle that closes against it, when the drive stalls,
/// and a trailing percent stop follows it as price extends.
/// </summary>
public class OpenDriveStrategy : Strategy
{
private readonly StrategyParam<int> _volumePeriod;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private DateTime? _day;
private readonly List<decimal> _volumes = [];
/// <summary>
/// Previous candles the opening volume is compared with.
/// </summary>
public int VolumePeriod
{
get => _volumePeriod.Value;
set => _volumePeriod.Value = value;
}
/// <summary>
/// Trailing stop loss percentage.
/// </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 OpenDriveStrategy()
{
_volumePeriod = Param(nameof(VolumePeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Volume Period", "Previous candles the opening volume is compared with", "Session");
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetNotNegative()
.SetDisplay("Stop Loss %", "Trailing stop loss percentage", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).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;
_volumes.Clear();
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_day = null;
_volumes.Clear();
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ProcessCandle)
.Start();
StartProtection(new Unit(), new Unit(StopLossPercent, UnitTypes.Percent), isStopTrailing: true, 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);
}
}
private void ObserveProtectionQuote(Level1ChangeMessage quote)
{
// The high-level handler activates native protection before this callback, also between signal bars.
}
private void ClosePosition()
{
if (Position > 0)
SellMarket(Position);
else if (Position < 0)
BuyMarket(-Position);
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
var day = candle.OpenTime.Date;
var firstOfDay = _day != day;
if (firstOfDay)
_day = day;
var average = _volumes.Count == VolumePeriod ? _volumes.Average() : (decimal?)null;
_volumes.Add(candle.TotalVolume);
if (_volumes.Count > VolumePeriod)
_volumes.RemoveAt(0);
if (!IsFormedAndOnlineAndAllowTrading())
return;
var close = candle.ClosePrice;
if (Position > 0)
{
if (close < candle.OpenPrice)
SellMarket(Position);
}
else if (Position < 0)
{
if (close > candle.OpenPrice)
BuyMarket(-Position);
}
else if (firstOfDay && average is decimal avgVolume && candle.TotalVolume > avgVolume)
{
if (close > candle.OpenPrice)
BuyMarket(Volume);
else if (close < candle.OpenPrice)
SellMarket(Volume);
}
}
}
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.Strategies import Strategy
class open_drive_strategy(Strategy):
"""
Open Drive strategy.
The market trades around the clock, so the session is the UTC day.
The first candle of each UTC day is the opening drive when its volume exceeds the average of the previous VolumePeriod candles;
the strategy joins its direction at its close. The position closes on the first candle that closes against it, when the drive stalls,
and a trailing percent stop follows it as price extends.
"""
def __init__(self):
super(open_drive_strategy, self).__init__()
self._volume_period = self.Param("VolumePeriod", 20).SetGreaterThanZero().SetDisplay("Volume Period", "Previous candles the opening volume is compared with", "Session")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative().SetDisplay("Stop Loss %", "Trailing stop loss percentage", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15))).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._volumes = []
def OnReseted(self):
super(open_drive_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(open_drive_strategy, self).OnStarted2(time)
self._reset_state()
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._process_candle).Start()
self.StartProtection(Unit(), Unit(Decimal(self._stop_loss_percent.Value), UnitTypes.Percent), isStopTrailing=True, 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)
def _observe_protection_quote(self, quote):
# The high-level handler activates native protection before the callback, including between bars.
pass
def _close_position(self):
if self.Position > 0:
self.SellMarket(self.Position)
elif self.Position < 0:
self.BuyMarket(-self.Position)
def _process_candle(self, candle):
if candle.State != CandleStates.Finished:
return
day = candle.OpenTime.Date
first_of_day = self._day is None or self._day != day
if first_of_day:
self._day = day
period = self._volume_period.Value
average = None
if len(self._volumes) == period:
total = Decimal(0)
for volume in self._volumes:
total += volume
average = total / Decimal(period)
self._volumes.append(candle.TotalVolume)
if len(self._volumes) > period:
self._volumes.pop(0)
if not self.IsFormedAndOnlineAndAllowTrading():
return
close = candle.ClosePrice
if self.Position > 0:
if close < candle.OpenPrice:
self.SellMarket(self.Position)
elif self.Position < 0:
if close > candle.OpenPrice:
self.BuyMarket(-self.Position)
elif first_of_day and average is not None and candle.TotalVolume > average:
if close > candle.OpenPrice:
self.BuyMarket(self.Volume)
elif close < candle.OpenPrice:
self.SellMarket(self.Volume)
def CreateClone(self):
return open_drive_strategy()