/*
* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
using System;
using QuantConnect.Data.Market;
namespace QuantConnect.Indicators
{
///
/// The SqueezeMomentum indicator calculates whether the market is in a "squeeze" condition,
/// determined by comparing Bollinger Bands to Keltner Channels. When the Bollinger Bands are
/// inside the Keltner Channels, the indicator returns 1 (squeeze on). Otherwise, it returns -1 (squeeze off).
///
public class SqueezeMomentum : BarIndicator, IIndicatorWarmUpPeriodProvider
{
///
/// The Bollinger Bands indicator used to calculate the upper, lower, and middle bands.
///
public BollingerBands BollingerBands { get; }
///
/// The Keltner Channels indicator used to calculate the upper, lower, and middle channels.
///
public KeltnerChannels KeltnerChannels { get; }
///
/// Initializes a new instance of the class.
///
/// The name of the indicator.
/// The period used for the Bollinger Bands calculation.
/// The multiplier for the Bollinger Bands width.
/// The period used for the Average True Range (ATR) calculation in Keltner Channels.
/// The multiplier applied to the ATR for calculating Keltner Channels.
public SqueezeMomentum(string name, int bollingerPeriod, decimal bollingerMultiplier, int keltnerPeriod, decimal keltnerMultiplier) : base(name)
{
BollingerBands = new BollingerBands(bollingerPeriod, bollingerMultiplier);
KeltnerChannels = new KeltnerChannels(keltnerPeriod, keltnerMultiplier, MovingAverageType.Exponential);
WarmUpPeriod = Math.Max(bollingerPeriod, keltnerPeriod);
}
///
/// Gets the warm-up period required for the indicator to be ready.
/// This is determined by the warm-up period of the Bollinger Bands indicator.
///
public int WarmUpPeriod { get; }
///
/// Indicates whether the indicator is ready and has enough data for computation.
/// The indicator is ready when both the Bollinger Bands and the Average True Range are ready.
///
public override bool IsReady => BollingerBands.IsReady && KeltnerChannels.IsReady;
///
/// Computes the next value of the indicator based on the input data bar.
///
/// The input data bar.
///
/// Returns 1 if the Bollinger Bands are inside the Keltner Channels (squeeze on),
/// or -1 if the Bollinger Bands are outside the Keltner Channels (squeeze off).
///
protected override decimal ComputeNextValue(IBaseDataBar input)
{
BollingerBands.Update(input);
KeltnerChannels.Update(input);
if (!IsReady)
{
return decimal.Zero;
}
// Calculate Bollinger Bands upper, lower
var bbUpper = BollingerBands.UpperBand.Current.Value;
var bbLower = BollingerBands.LowerBand.Current.Value;
// Calculate Keltner Channels upper and lower bounds
var kcUpper = KeltnerChannels.UpperBand.Current.Value;
var kcLower = KeltnerChannels.LowerBand.Current.Value;
// Determine if the squeeze condition is on or off
return (kcUpper > bbUpper && kcLower < bbLower) ? 1m : -1m;
}
///
/// Resets the state of the indicator, including all sub-indicators.
///
public override void Reset()
{
BollingerBands.Reset();
KeltnerChannels.Reset();
base.Reset();
}
}
}