Spread Informer 策略
用于收集所选品种买卖价差(Bid-Ask Spread)的完整统计信息,并在价差超过可配置的上限时给出提示。策略持续订阅 Level1 行情,记录价差的最大值、最小值和平均值(以点数表示),在停止时输出总结,可用于在回测前评估流动性情况或验证历史数据质量。
详细信息
- 数据来源:Level1 的最优买价(Bid)与最优卖价(Ask)。
- 统计内容:
- 观测周期的起始与结束时间。
- 价差最大值及对应时间。
- 价差最小值及对应时间。
- 基于所有 Level1 更新计算的平均价差。
- 警报机制:
- 当价差(点数)突破
MaxSpreadPoints阈值时,可选地触发提醒。 AlertIntervalSeconds控制相邻提醒之间的最小时间间隔,避免日志被刷屏。- 只有在价差从下方向上突破阈值时才会触发提醒。
- 当价差(点数)突破
- 日志输出:
- 实时提醒通过
LogInfo写入日志。 - 策略停止时在
OnStopped输出总体统计。
- 实时提醒通过
- 默认参数:
MaxSpreadPoints= 0(禁用提醒)。AlertIntervalSeconds= 0(不限制提醒频率)。
参数
| 名称 | 说明 | 默认值 | 备注 |
|---|---|---|---|
MaxSpreadPoints |
最大允许的价差(点)。设置为 0 时关闭提醒。 | 0 | 点数基于品种的最小报价步长计算。 |
AlertIntervalSeconds |
连续提醒之间的最小时间间隔。 | 0 | 当价差持续过大时,可避免重复提醒。 |
使用建议
- 将策略绑定到目标品种,并确认能获取 Level1 行情。
- 根据该品种的可接受价差配置
MaxSpreadPoints。 - 如需抑制频繁提醒,可提高
AlertIntervalSeconds的值。 - 停止策略后查看日志输出,即可获得完整的价差统计。
namespace StockSharp.Samples.Strategies;
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
/// <summary>
/// Spread Informer strategy: CCI momentum crossover.
/// Buys when CCI crosses above zero, sells when crosses below zero.
/// </summary>
public class SpreadInformerStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cciPeriod;
private readonly StrategyParam<decimal> _cciLevel;
private readonly StrategyParam<int> _signalCooldownCandles;
private decimal _prevCci;
private int _candlesSinceTrade;
private bool _hasPrev;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int CciPeriod { get => _cciPeriod.Value; set => _cciPeriod.Value = value; }
public decimal CciLevel { get => _cciLevel.Value; set => _cciLevel.Value = value; }
public int SignalCooldownCandles { get => _signalCooldownCandles.Value; set => _signalCooldownCandles.Value = value; }
public SpreadInformerStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(60).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
_cciPeriod = Param(nameof(CciPeriod), 30)
.SetGreaterThanZero()
.SetDisplay("CCI Period", "CCI period", "Indicators");
_cciLevel = Param(nameof(CciLevel), 100m)
.SetDisplay("CCI Level", "CCI threshold for crossover", "Signals");
_signalCooldownCandles = Param(nameof(SignalCooldownCandles), 4)
.SetGreaterThanZero()
.SetDisplay("Signal Cooldown", "Bars to wait between trades", "Trading");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevCci = 0;
_candlesSinceTrade = SignalCooldownCandles;
_hasPrev = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevCci = 0;
_candlesSinceTrade = SignalCooldownCandles;
_hasPrev = false;
var cci = new CommodityChannelIndex { Length = CciPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(cci, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal cciValue)
{
if (candle.State != CandleStates.Finished) return;
if (_candlesSinceTrade < SignalCooldownCandles)
_candlesSinceTrade++;
if (_hasPrev)
{
if (_prevCci < -CciLevel && cciValue >= -CciLevel && Position <= 0 && _candlesSinceTrade >= SignalCooldownCandles)
{
BuyMarket();
_candlesSinceTrade = 0;
}
else if (_prevCci > CciLevel && cciValue <= CciLevel && Position >= 0 && _candlesSinceTrade >= SignalCooldownCandles)
{
SellMarket();
_candlesSinceTrade = 0;
}
}
_prevCci = cciValue;
_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
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import CommodityChannelIndex
from StockSharp.Algo.Strategies import Strategy
class spread_informer_strategy(Strategy):
def __init__(self):
super(spread_informer_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(60)))
self._cci_period = self.Param("CciPeriod", 30)
self._cci_level = self.Param("CciLevel", 100.0)
self._signal_cooldown_candles = self.Param("SignalCooldownCandles", 4)
self._prev_cci = 0.0
self._candles_since_trade = 4
self._has_prev = False
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
@property
def CciPeriod(self):
return self._cci_period.Value
@CciPeriod.setter
def CciPeriod(self, value):
self._cci_period.Value = value
@property
def CciLevel(self):
return self._cci_level.Value
@CciLevel.setter
def CciLevel(self, value):
self._cci_level.Value = value
@property
def SignalCooldownCandles(self):
return self._signal_cooldown_candles.Value
@SignalCooldownCandles.setter
def SignalCooldownCandles(self, value):
self._signal_cooldown_candles.Value = value
def OnReseted(self):
super(spread_informer_strategy, self).OnReseted()
self._prev_cci = 0.0
self._candles_since_trade = self.SignalCooldownCandles
self._has_prev = False
def OnStarted2(self, time):
super(spread_informer_strategy, self).OnStarted2(time)
self._prev_cci = 0.0
self._candles_since_trade = self.SignalCooldownCandles
self._has_prev = False
cci = CommodityChannelIndex()
cci.Length = self.CciPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(cci, self._process_candle).Start()
def _process_candle(self, candle, cci_value):
if candle.State != CandleStates.Finished:
return
if self._candles_since_trade < self.SignalCooldownCandles:
self._candles_since_trade += 1
cci_val = float(cci_value)
if self._has_prev:
if self._prev_cci < -self.CciLevel and cci_val >= -self.CciLevel and self.Position <= 0 and self._candles_since_trade >= self.SignalCooldownCandles:
self.BuyMarket()
self._candles_since_trade = 0
elif self._prev_cci > self.CciLevel and cci_val <= self.CciLevel and self.Position >= 0 and self._candles_since_trade >= self.SignalCooldownCandles:
self.SellMarket()
self._candles_since_trade = 0
self._prev_cci = cci_val
self._has_prev = True
def CreateClone(self):
return spread_informer_strategy()