Negative Spread Strategy
Negative Spread 策略利用一种罕见情况:最优卖价低于最优买价,从而出现负点差。 当发现这种错误定价时,策略立即按市价卖出,以捕获该异常价差。 空单成交后,在下一次订单簿更新时买入平仓,使市场回到正常状态。
该系统仅监听订单簿事件,不依赖任何K线或指标。 策略提供可选的止损和止盈参数,按照合约的最小价格步长换算为点数。
细节
- 入场条件:
最优卖价 < 最优买价且无持仓。 - 多/空方向:仅做空。
- 离场条件:开仓后立即平仓。
- 止损:可选的止损和止盈,以点数表示。
- 默认参数:
Volume= 1TakeProfitPips= 5000StopLossPips= 5000
- 筛选:
- 类别:套利
- 方向:做空
- 指标:无
- 止损:可选
- 复杂度:基础
- 时间框架:逐笔
- 季节性:无
- 神经网络:无
- 背离:无
- 风险等级:高
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>
/// Strategy that detects price dislocations using Bollinger Bands
/// and trades mean reversion when price extends beyond bands.
/// </summary>
public class NegativeSpreadStrategy : Strategy
{
private readonly StrategyParam<int> _bbPeriod;
private readonly StrategyParam<decimal> _bbWidth;
private readonly StrategyParam<DataType> _candleType;
public int BbPeriod { get => _bbPeriod.Value; set => _bbPeriod.Value = value; }
public decimal BbWidth { get => _bbWidth.Value; set => _bbWidth.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public NegativeSpreadStrategy()
{
_bbPeriod = Param(nameof(BbPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("BB Period", "Bollinger Bands period", "Indicators");
_bbWidth = Param(nameof(BbWidth), 1.5m)
.SetDisplay("BB Width", "Bollinger Bands deviation", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(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();
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var bb = new BollingerBands { Length = BbPeriod, Width = BbWidth };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(bb, ProcessCandle)
.Start();
StartProtection(
takeProfit: new Unit(1, UnitTypes.Percent),
stopLoss: new Unit(0.5m, UnitTypes.Percent)
);
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, bb);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue bbValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!bbValue.IsFormed)
return;
var bb = (BollingerBandsValue)bbValue;
if (bb.UpBand is not decimal upper || bb.LowBand is not decimal lower)
return;
var close = candle.ClosePrice;
// Mean reversion: sell when above upper band, buy when below lower band
if (close > upper && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
else if (close < lower && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
}
}
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, UnitTypes, Unit
from StockSharp.Algo.Indicators import BollingerBands
from StockSharp.Algo.Strategies import Strategy
from datatype_extensions import *
from indicator_extensions import *
class negative_spread_strategy(Strategy):
def __init__(self):
super(negative_spread_strategy, self).__init__()
self._bb_period = self.Param("BbPeriod", 20) \
.SetGreaterThanZero() \
.SetDisplay("BB Period", "Bollinger Bands period", "Indicators")
self._bb_width = self.Param("BbWidth", 1.5) \
.SetDisplay("BB Width", "Bollinger Bands deviation", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1))) \
.SetDisplay("Candle Type", "Type of candles", "General")
@property
def BbPeriod(self):
return self._bb_period.Value
@BbPeriod.setter
def BbPeriod(self, value):
self._bb_period.Value = value
@property
def BbWidth(self):
return self._bb_width.Value
@BbWidth.setter
def BbWidth(self, value):
self._bb_width.Value = value
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
def OnReseted(self):
super(negative_spread_strategy, self).OnReseted()
def OnStarted2(self, time):
super(negative_spread_strategy, self).OnStarted2(time)
bb = BollingerBands()
bb.Length = self.BbPeriod
bb.Width = self.BbWidth
sub = self.SubscribeCandles(self.CandleType)
sub.BindEx(bb, self.OnProcess).Start()
self.StartProtection(
takeProfit=Unit(1, UnitTypes.Percent),
stopLoss=Unit(0.5, UnitTypes.Percent)
)
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, sub)
self.DrawIndicator(area, bb)
self.DrawOwnTrades(area)
def OnProcess(self, candle, bb_value):
if candle.State != CandleStates.Finished:
return
if not bb_value.IsFormed:
return
upper = bb_value.UpBand
lower = bb_value.LowBand
if upper is None or lower is None:
return
close = candle.ClosePrice
if close > float(upper) and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
elif close < float(lower) and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
def CreateClone(self):
return negative_spread_strategy()